diff --git a/.gitignore b/.gitignore
index 995969d6..ea136519 100644
--- a/.gitignore
+++ b/.gitignore
@@ -24,3 +24,6 @@ docs/apidocs/
 .scannerwork/
 
 .ipynb_checkpoints
+
+docs/examples/parameter-sets
+docs/examples/ewatercycle.yaml
diff --git a/docs/examples.rst b/docs/examples.rst
index ea1ac30b..f91c2c3f 100644
--- a/docs/examples.rst
+++ b/docs/examples.rst
@@ -12,3 +12,4 @@ Examples
   PCRGlobWB <examples/pcrglobwb.ipynb>
   Wflow <examples/wflow.ipynb>
   Irrigation experiment <examples/Irrigation.ipynb>
+  System setup <examples/system_setup.ipynb>
diff --git a/docs/examples/ewatercycle_api_notebook.ipynb b/docs/examples/ewatercycle_api_notebook.ipynb
index c0c2d0e9..682f2fcb 100644
--- a/docs/examples/ewatercycle_api_notebook.ipynb
+++ b/docs/examples/ewatercycle_api_notebook.ipynb
@@ -324,7 +324,7 @@
     "parameter_set.doi\n",
     "# 'https://doi.org/10.1000/182'\n",
     "\n",
-    "parameter_set.id\n",
+    "parameter_set.name\n",
     "# 'wflow-30-min-global'\n",
     "\n",
     "parameter_set.supported_model_versions\n",
@@ -576,9 +576,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/docs/examples/lisflood.ipynb b/docs/examples/lisflood.ipynb
index e46c0ce9..4497b008 100644
--- a/docs/examples/lisflood.ipynb
+++ b/docs/examples/lisflood.ipynb
@@ -34,7 +34,7 @@
     "from ewatercycle import CFG\n",
     "import ewatercycle.models\n",
     "from ewatercycle.forcing import load_foreign\n",
-    "from ewatercycle.models.lisflood import LisfloodParameterSet"
+    "from ewatercycle.parameter_sets import ParameterSet\n"
    ]
   },
   {
@@ -70,11 +70,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "parameterset = LisfloodParameterSet(\n",
-    "    PathRoot='/projects/0/wtrcycle/comparison/lisflood_input/Lisflood01degree_masked',\n",
-    "    MaskMap='/projects/0/wtrcycle/comparison/recipes_auxiliary_datasets/LISFLOOD/model_mask.nc',\n",
-    "    config_template='/projects/0/wtrcycle/comparison/lisflood_input/settings_templates/settings_lisflood.xml',\n",
-    ")"
+    "parameterset = ParameterSet(\n",
+    "    name='Lisflood01degree_masked',\n",
+    "    directory='/projects/0/wtrcycle/comparison/lisflood_input/Lisflood01degree_masked',\n",
+    "    config='/projects/0/wtrcycle/comparison/lisflood_input/settings_templates/settings_lisflood.xml',\n",
+    "    supported_model_versions={'20.10'},\n",
+    "    target_model='lisflood'\n",
+    ")\n",
+    "mask_map = '/projects/0/wtrcycle/comparison/recipes_auxiliary_datasets/LISFLOOD/model_mask.nc'"
    ]
   },
   {
@@ -202,7 +205,9 @@
    ],
    "source": [
     "# setup model\n",
-    "config_file, config_dir = model.setup(IrrigationEfficiency='0.8', end_time='1990-10-10T00:00:00Z')"
+    "config_file, config_dir = model.setup(IrrigationEfficiency='0.8', \n",
+    "                                      end_time='1990-10-10T00:00:00Z'\n",
+    "                                      MaskMap=mask_map)"
    ]
   },
   {
@@ -851,9 +856,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/docs/examples/pcrglobwb.ipynb b/docs/examples/pcrglobwb.ipynb
index 7ea9e1e6..c381f4ef 100644
--- a/docs/examples/pcrglobwb.ipynb
+++ b/docs/examples/pcrglobwb.ipynb
@@ -20,24 +20,6 @@
     "We will combine them into one `PCRGloBWBParameterSet` object, which we can then pass to the model when we first create it."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "30450976",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from ewatercycle.parametersetdb import build_from_urls\n",
-    "\n",
-    "# Obtain an example case for testing the model\n",
-    "parameterset = build_from_urls(\n",
-    "    config_format='ini', config_url='https://raw.githubusercontent.com/UU-Hydro/PCR-GLOBWB_input_example/master/ini_and_batch_files_for_pcrglobwb_course/rhine_meuse_30min_using_input_example/setup_natural_test.ini',\n",
-    "    datafiles_format='svn', datafiles_url='https://github.com/UU-Hydro/PCR-GLOBWB_input_example/trunk/RhineMeuse30min',\n",
-    ")\n",
-    "parameterset.save_datafiles('./pcrglobwb_example_case')\n",
-    "parameterset.save_config('./pcrglobwb_example_case/setup.ini')"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -48,61 +30,105 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/_warnings.py:18: UserWarning: \n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/_warnings.py:18: UserWarning: \n",
       "  Thank you for trying out the new ESMValCore API.\n",
       "  Note that this API is experimental and may be subject to change.\n",
       "  More info: https://github.com/ESMValGroup/ESMValCore/issues/498\n",
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:254: ESMValToolDeprecationWarning: `write_plots` will be removed in 2.4.0.\n",
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:255: ESMValToolDeprecationWarning: `write_netcdf` will be removed in 2.4.0.\n"
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:254: ESMValToolDeprecationWarning: `write_plots` will be removed in 2.4.0.\n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:255: ESMValToolDeprecationWarning: `write_netcdf` will be removed in 2.4.0.\n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_validated_config.py:80: MissingConfigParameter: `drs` is not defined (https://docs.esmvaltool.org/projects/ESMValCore/en/latest/quickstart/configure.html)\n"
      ]
     }
    ],
    "source": [
     "import ewatercycle\n",
     "import ewatercycle.models\n",
-    "import ewatercycle.forcing"
+    "import ewatercycle.forcing\n",
+    "import ewatercycle.parameter_sets"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "b8825726",
+   "id": "de4e592f-937a-458b-892b-81084b6507fd",
    "metadata": {},
    "outputs": [],
    "source": [
     "ewatercycle.CFG['container_engine'] = 'singularity'  # or 'singularity'\n",
     "ewatercycle.CFG['singularity_dir'] = './'\n",
-    "ewatercycle.CFG['output_dir'] = './'"
+    "ewatercycle.CFG['output_dir'] = './'\n",
+    "ewatercycle.CFG['ewatercycle_config'] = './ewatercycle.yaml'\n",
+    "ewatercycle.CFG['parameterset_dir'] = './parameter-sets'"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "8b863a7b",
+   "id": "f31f988f-08c6-4ea7-a910-fa7d4485d25d",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Wflow parameter set\n",
-      "-------------------\n",
-      "Directory: /home/peter/ewatercycle/ewatercycle/examples/pcrglobwb_example_case\n",
-      "Default configuration file: /home/peter/ewatercycle/ewatercycle/examples/pcrglobwb_example_case/setup.ini\n"
+      "Downloading example parameter set wflow_rhine_sbm_nc to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc...\n",
+      "Download complete.\n",
+      "Adding parameterset wflow_rhine_sbm_nc to ewatercycle.CFG... \n",
+      "Downloading example parameter set pcrglobwb_example_case to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case...\n",
+      "Download complete.\n",
+      "Adding parameterset pcrglobwb_example_case to ewatercycle.CFG... \n",
+      "Downloading example parameter set lisflood_fraser to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/lisflood_fraser...\n",
+      "Download complete.\n",
+      "Adding parameterset lisflood_fraser to ewatercycle.CFG... \n",
+      "3 example parameter sets were downloaded\n",
+      "Config written to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml\n",
+      "Saved parameter sets to configuration file /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml\n"
      ]
     }
    ],
    "source": [
-    "parameterset = ewatercycle.models.pcrglobwb.PCRGlobWBParameterSet(\n",
-    "    input_dir = './pcrglobwb_example_case', \n",
-    "    default_config = './pcrglobwb_example_case/setup.ini'\n",
-    ")\n",
-    "print(parameterset)"
+    "ewatercycle.parameter_sets.download_example_parameter_sets()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "96661b81-778b-46ef-a390-60e84adf9b0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ewatercycle.CFG.reload()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
+   "id": "86e7a979-095b-4941-ab68-42205fcf4514",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Parameter set\n",
+      "-------------\n",
+      "name='pcrglobwb_example_case'\n",
+      "directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case')\n",
+      "config=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case/setup_natural_test.ini')\n",
+      "doi='N/A'\n",
+      "target_model='pcrglobwb'\n",
+      "supported_model_versions={'setters'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "parameter_set = ewatercycle.parameter_sets.get_parameter_set('pcrglobwb_example_case')\n",
+    "print(parameter_set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "id": "f57a6f04",
    "metadata": {},
    "outputs": [
@@ -112,7 +138,7 @@
      "text": [
       "Forcing data for PCRGlobWB\n",
       "--------------------------\n",
-      "Directory: ./pcrglobwb_example_case/forcing\n",
+      "Directory: ./parameter-sets/pcrglobwb_example_case/forcing\n",
       "Start time: 2001-01-01T00:00:00Z\n",
       "End time: 2010-12-31T00:00:00Z\n",
       "Shapefile: None\n",
@@ -127,7 +153,7 @@
     "    target_model = \"pcrglobwb\",\n",
     "    start_time = \"2001-01-01T00:00:00Z\",\n",
     "    end_time = \"2010-12-31T00:00:00Z\",\n",
-    "    directory = \"./pcrglobwb_example_case/forcing\",\n",
+    "    directory = \"./parameter-sets/pcrglobwb_example_case/forcing\",\n",
     "    shape = None,\n",
     "    forcing_info = dict(\n",
     "        precipitationNC = \"precipitation_2001to2010.nc\",\n",
@@ -138,17 +164,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "ad624243",
    "metadata": {},
    "outputs": [],
    "source": [
-    "pcrglob = ewatercycle.models.PCRGlobWB(version=\"setters\", parameter_set=parameterset, forcing=forcing)"
+    "pcrglob = ewatercycle.models.PCRGlobWB(version=\"setters\", parameter_set=parameter_set, forcing=forcing)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "id": "e5d681b5",
    "metadata": {},
    "outputs": [
@@ -161,7 +187,7 @@
        " ('max_spinups_in_years', '20')]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -172,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "id": "328e0ef2",
    "metadata": {},
    "outputs": [
@@ -180,17 +206,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running docker://ewatercycle/pcrg-grpc4bmi:setters singularity container on port 59387\n"
+      "Running docker://ewatercycle/pcrg-grpc4bmi:setters singularity container on port 35435\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "(PosixPath('/home/peter/ewatercycle/ewatercycle/examples/pcrglobwb_20210618_160443/pcrglobwb_ewatercycle.ini'),\n",
-       " PosixPath('/home/peter/ewatercycle/ewatercycle/examples/pcrglobwb_20210618_160443'))"
+       "(PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/pcrglobwb_20210629_134506/pcrglobwb_ewatercycle.ini'),\n",
+       " PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/pcrglobwb_20210629_134506'))"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -203,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "id": "1f0a2404",
    "metadata": {},
    "outputs": [
@@ -216,7 +242,7 @@
        " ('max_spinups_in_years', '5')]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -227,7 +253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "id": "d468b126",
    "metadata": {},
    "outputs": [],
@@ -237,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "id": "241c5817",
    "metadata": {},
    "outputs": [
@@ -343,7 +369,7 @@
        " 'surface_water_abstraction_volume')"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,7 +380,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "id": "709a9b83",
    "metadata": {},
    "outputs": [
@@ -380,7 +406,7 @@
        "        0., nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -391,7 +417,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "id": "329b7d77",
    "metadata": {},
    "outputs": [
@@ -781,7 +807,7 @@
        "  * latitude   (latitude) float64 46.25 46.75 47.25 47.75 ... 51.25 51.75 52.25\n",
        "    time       object 2000-12-31 00:00:00\n",
        "Attributes:\n",
-       "    units:    m3.s-1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'discharge'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 13</li><li><span class='xr-has-index'>longitude</span>: 17</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-632a7faa-9766-420a-859c-2f627e060710' class='xr-array-in' type='checkbox' checked><label for='section-632a7faa-9766-420a-859c-2f627e060710' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "    units:    m3.s-1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'discharge'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 13</li><li><span class='xr-has-index'>longitude</span>: 17</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7dc2142b-2ec5-43a0-ad8d-eb333498cb2a' class='xr-array-in' type='checkbox' checked><label for='section-7dc2142b-2ec5-43a0-ad8d-eb333498cb2a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan],\n",
        "       [nan, nan, nan, nan, nan, nan,  0.,  0.,  0.,  0.,  0.,  0.,  0.,\n",
        "        nan, nan, nan, nan],\n",
@@ -806,9 +832,9 @@
        "       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan],\n",
        "       [nan,  0.,  0.,  0.,  0., nan, nan, nan, nan, nan, nan, nan, nan,\n",
-       "        nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-0d9f8751-dafd-49db-965d-f943a657dd47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d9f8751-dafd-49db-965d-f943a657dd47' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.75 4.25 4.75 ... 11.25 11.75</div><input id='attrs-7d870c01-63da-43c9-ac4c-c0cbad0d1ded' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d870c01-63da-43c9-ac4c-c0cbad0d1ded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-936cd583-090c-45a2-b4b2-00b634ae52be' class='xr-var-data-in' type='checkbox'><label for='data-936cd583-090c-45a2-b4b2-00b634ae52be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 3.75,  4.25,  4.75,  5.25,  5.75,  6.25,  6.75,  7.25,  7.75,  8.25,\n",
-       "        8.75,  9.25,  9.75, 10.25, 10.75, 11.25, 11.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.25 46.75 47.25 ... 51.75 52.25</div><input id='attrs-919a658f-203e-4dee-82b2-ba041e3db27f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-919a658f-203e-4dee-82b2-ba041e3db27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a483dd-3639-4426-ab47-ed3de9bc44ad' class='xr-var-data-in' type='checkbox'><label for='data-30a483dd-3639-4426-ab47-ed3de9bc44ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([46.25, 46.75, 47.25, 47.75, 48.25, 48.75, 49.25, 49.75, 50.25, 50.75,\n",
-       "       51.25, 51.75, 52.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-12-31 00:00:00</div><input id='attrs-633fcc4e-41ba-4a87-9964-e7c7312e41e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-633fcc4e-41ba-4a87-9964-e7c7312e41e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114e2fd7-4717-4cfc-97ad-2f6afcad0871' class='xr-var-data-in' type='checkbox'><label for='data-114e2fd7-4717-4cfc-97ad-2f6afcad0871' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeGregorian(2000, 12, 31, 0, 0, 0, 0), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7954d81c-6166-4268-8787-530aefc29ef8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7954d81c-6166-4268-8787-530aefc29ef8' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3.s-1</dd></dl></div></li></ul></div></div>"
+       "        nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-bd2fdca5-8cf0-49e8-9f8a-7859433ec001' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd2fdca5-8cf0-49e8-9f8a-7859433ec001' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.75 4.25 4.75 ... 11.25 11.75</div><input id='attrs-f80296fd-c7be-4158-bd58-6b38487411df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f80296fd-c7be-4158-bd58-6b38487411df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4b6fc91-2809-4c66-9d44-45b8393deefc' class='xr-var-data-in' type='checkbox'><label for='data-b4b6fc91-2809-4c66-9d44-45b8393deefc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 3.75,  4.25,  4.75,  5.25,  5.75,  6.25,  6.75,  7.25,  7.75,  8.25,\n",
+       "        8.75,  9.25,  9.75, 10.25, 10.75, 11.25, 11.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.25 46.75 47.25 ... 51.75 52.25</div><input id='attrs-41acdd3a-440d-4043-ad43-181579915f33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41acdd3a-440d-4043-ad43-181579915f33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5da0c5fa-2751-4b5d-8bd0-ba6de245e68e' class='xr-var-data-in' type='checkbox'><label for='data-5da0c5fa-2751-4b5d-8bd0-ba6de245e68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([46.25, 46.75, 47.25, 47.75, 48.25, 48.75, 49.25, 49.75, 50.25, 50.75,\n",
+       "       51.25, 51.75, 52.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-12-31 00:00:00</div><input id='attrs-93100f3e-9c98-4732-8e95-91e96b341bba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93100f3e-9c98-4732-8e95-91e96b341bba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78bcb55b-009b-4302-b74c-a24a8c66c622' class='xr-var-data-in' type='checkbox'><label for='data-78bcb55b-009b-4302-b74c-a24a8c66c622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeGregorian(2000, 12, 31, 0, 0, 0, 0), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d15753f-43bf-4b04-a190-1e8711805fe9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d15753f-43bf-4b04-a190-1e8711805fe9' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3.s-1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'discharge' (latitude: 13, longitude: 17)>\n",
@@ -846,7 +872,7 @@
        "    units:    m3.s-1"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -857,7 +883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "id": "cbb4a75d",
    "metadata": {},
    "outputs": [
@@ -888,23 +914,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "id": "d9b57cf2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x7f5e5bb824c0>"
+       "<matplotlib.collections.QuadMesh at 0x7fbb45ea6bb0>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -922,7 +948,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "a835ef4f",
    "metadata": {},
    "outputs": [],
@@ -956,7 +982,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/system_setup.ipynb b/docs/examples/system_setup.ipynb
new file mode 100644
index 00000000..706983c0
--- /dev/null
+++ b/docs/examples/system_setup.ipynb
@@ -0,0 +1,239 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# System setup\n",
+    "\n",
+    "To use ewatercycle package you need to setup the system with software and data.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import logging\n",
+    "logging.basicConfig(level=logging.INFO)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ewatercycle import CFG\n",
+    "from ewatercycle.parameter_sets import download_example_parameter_sets\n",
+    "from ewatercycle.parameter_sets import available_parameter_sets\n",
+    "from ewatercycle.parameter_sets import get_parameter_set"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Configuration\n",
+    "\n",
+    "The ewatercycle package simplifies the API by reading some of the directories and other configurations from a configuration file.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:ewatercycle.config._config_object:Config written to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml')"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CFG['parameterset_dir'] = './parameter-sets'\n",
+    "CFG['ewatercycle_config'] = './ewatercycle.yaml'\n",
+    "CFG.save_to_file()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CFG.load_from_file('./ewatercycle.yaml')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Download example parameter sets\n",
+    "\n",
+    "To quickly run the models it is advised to setup a example parameter sets for each model. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:ewatercycle.parameter_sets._example:Downloading example parameter set wflow_rhine_sbm_nc to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc...\n",
+      "INFO:ewatercycle.parameter_sets._example:Download complete.\n",
+      "INFO:ewatercycle.parameter_sets._example:Adding parameterset wflow_rhine_sbm_nc to ewatercycle.CFG... \n",
+      "INFO:ewatercycle.parameter_sets._example:Downloading example parameter set pcrglobwb_example_case to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case...\n",
+      "INFO:ewatercycle.parameter_sets._example:Download complete.\n",
+      "INFO:ewatercycle.parameter_sets._example:Adding parameterset pcrglobwb_example_case to ewatercycle.CFG... \n",
+      "INFO:ewatercycle.parameter_sets._example:Downloading example parameter set lisflood_fraser to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/lisflood_fraser...\n",
+      "INFO:ewatercycle.parameter_sets._example:Download complete.\n",
+      "INFO:ewatercycle.parameter_sets._example:Adding parameterset lisflood_fraser to ewatercycle.CFG... \n",
+      "INFO:ewatercycle.parameter_sets:3 example parameter sets were downloaded\n",
+      "INFO:ewatercycle.config._config_object:Config written to /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml\n",
+      "INFO:ewatercycle.parameter_sets:Saved parameter sets to configuration file /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/ewatercycle.yaml\n"
+     ]
+    }
+   ],
+   "source": [
+    "download_example_parameter_sets()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Example parameter sets have been downloaded and added to the configuration file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "container_engine: null\n",
+      "esmvaltool_config: None\n",
+      "grdc_location: None\n",
+      "output_dir: None\n",
+      "parameter_sets:\n",
+      "  lisflood_fraser:\n",
+      "    config: lisflood_fraser/settings_lat_lon-Run.xml\n",
+      "    directory: lisflood_fraser\n",
+      "    doi: N/A\n",
+      "    supported_model_versions: !!set {'20.10': null}\n",
+      "    target_model: lisflood\n",
+      "  pcrglobwb_example_case:\n",
+      "    config: pcrglobwb_example_case/setup_natural_test.ini\n",
+      "    directory: pcrglobwb_example_case\n",
+      "    doi: N/A\n",
+      "    supported_model_versions: !!set {setters: null}\n",
+      "    target_model: pcrglobwb\n",
+      "  wflow_rhine_sbm_nc:\n",
+      "    config: wflow_rhine_sbm_nc/wflow_sbm_NC.ini\n",
+      "    directory: wflow_rhine_sbm_nc\n",
+      "    doi: N/A\n",
+      "    supported_model_versions: !!set {2020.1.1: null}\n",
+      "    target_model: wflow\n",
+      "parameterset_dir: /home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets\n",
+      "singularity_dir: None\n"
+     ]
+    }
+   ],
+   "source": [
+    "!cat ./ewatercycle.yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('wflow_rhine_sbm_nc', 'pcrglobwb_example_case', 'lisflood_fraser')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "available_parameter_sets()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ParameterSet(name='pcrglobwb_example_case', directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case'), config=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/pcrglobwb_example_case/setup_natural_test.ini'), doi='N/A', target_model='pcrglobwb', supported_model_versions={'setters'})"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "parameter_set = get_parameter_set('pcrglobwb_example_case')\n",
+    "parameter_set"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `parameter_set` variable can be passed to a model class constructor."
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "4f63c3f017d58640bc2174e5f1b6c1610e3d96c1a3fe90d1d439f265cee739e3"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/examples/wflow.ipynb b/docs/examples/wflow.ipynb
index 291e8b86..3412909a 100644
--- a/docs/examples/wflow.ipynb
+++ b/docs/examples/wflow.ipynb
@@ -8,32 +8,98 @@
     "# Running Wflow using the ewatercycle system"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d204fc95",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/_warnings.py:18: UserWarning: \n",
+      "  Thank you for trying out the new ESMValCore API.\n",
+      "  Note that this API is experimental and may be subject to change.\n",
+      "  More info: https://github.com/ESMValGroup/ESMValCore/issues/498\n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:254: ESMValToolDeprecationWarning: `write_plots` will be removed in 2.4.0.\n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:255: ESMValToolDeprecationWarning: `write_netcdf` will be removed in 2.4.0.\n",
+      "/home/verhoes/miniconda39/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_validated_config.py:80: MissingConfigParameter: `drs` is not defined (https://docs.esmvaltool.org/projects/ESMValCore/en/latest/quickstart/configure.html)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.parameter_sets"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "59bf99be",
    "metadata": {},
    "source": [
     "### 1. Copy an example case\n",
-    "To run WFlow, we need a complete parameterset. The easiest way to obtain a valid model configuration is by copying it from https://github.com/openstreams/wflow/raw/master/examples/. We can use `ewatercycle.parametersetdb` to easily copy on of these example cases to a folder called `./wflow_example_case`."
+    "To run WFlow, we need a complete parameterset. The package can download a example parameter set for you."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "fd86b376",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ewatercycle.CFG['container_engine'] = \"docker\"\n",
+    "ewatercycle.CFG['output_dir'] = \"./\"\n",
+    "ewatercycle.CFG['ewatercycle_config'] = './ewatercycle.yaml'\n",
+    "ewatercycle.CFG['parameterset_dir'] = './parameter-sets'"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f14a0d48",
-   "metadata": {
-    "tags": []
-   },
+   "id": "ead5e58b-3bdc-4f32-a5f6-fa5f02f2622e",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "from ewatercycle.parametersetdb import build_from_urls\n",
-    "\n",
-    "# Obtain an example case for testing the model\n",
-    "parameterset = build_from_urls(\n",
-    "    config_format='ini', config_url='https://github.com/openstreams/wflow/raw/master/examples/wflow_rhine_sbm_nc/wflow_sbm_NC.ini',\n",
-    "    datafiles_format='svn', datafiles_url='https://github.com/openstreams/wflow/trunk/examples/wflow_rhine_sbm_nc',\n",
-    ")\n",
-    "parameterset.save_datafiles('./wflow_example_case_nc')"
+    "ewatercycle.parameter_sets.download_example_parameter_sets()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d7885d5a-101d-4bb9-9b6d-3518b6030bd4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ewatercycle.CFG.reload()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "26b19af8-5cc4-4d66-9535-fb343bafb85c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Parameter set\n",
+      "-------------\n",
+      "name='wflow_rhine_sbm_nc'\n",
+      "directory=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc')\n",
+      "config=PosixPath('/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/parameter-sets/wflow_rhine_sbm_nc/wflow_sbm_NC.ini')\n",
+      "doi='N/A'\n",
+      "target_model='wflow'\n",
+      "supported_model_versions={'2020.1.1'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "parameter_set = ewatercycle.parameter_sets.get_parameter_set('wflow_rhine_sbm_nc')\n",
+    "print(parameter_set)"
    ]
   },
   {
@@ -68,79 +134,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "d204fc95",
+   "execution_count": 6,
+   "id": "956419c8-2769-4ddb-a429-e640b10c3f38",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/_warnings.py:18: UserWarning: \n",
-      "  Thank you for trying out the new ESMValCore API.\n",
-      "  Note that this API is experimental and may be subject to change.\n",
-      "  More info: https://github.com/ESMValGroup/ESMValCore/issues/498\n",
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:254: ESMValToolDeprecationWarning: `write_plots` will be removed in 2.4.0.\n",
-      "/home/peter/miniconda3/envs/ewatercycle/lib/python3.9/site-packages/esmvalcore/experimental/config/_config_validators.py:255: ESMValToolDeprecationWarning: `write_netcdf` will be removed in 2.4.0.\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
        "('2020.1.1',)"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import ewatercycle\n",
-    "import ewatercycle.models\n",
     "ewatercycle.models.Wflow.available_versions"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "fd86b376",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ewatercycle.CFG['container_engine'] = \"docker\"\n",
-    "ewatercycle.CFG['output_dir'] = \"./\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "a3111da4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Wflow parameterset\n",
-      "------------------\n",
-      "Directory: /home/peter/ewatercycle/ewatercycle/examples/wflow_example_case_nc\n",
-      "Default configuration file: /home/peter/ewatercycle/ewatercycle/examples/wflow_example_case_nc/wflow_sbm_NC.ini\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Load a parameterset\n",
-    "parameter_set = ewatercycle.models.wflow.WflowParameterSet(\n",
-    "    input_data = \"./wflow_example_case_nc/\",\n",
-    "    default_config = \"./wflow_example_case_nc/wflow_sbm_NC.ini\",\n",
-    ")\n",
-    "print(parameter_set)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "081309cd",
    "metadata": {},
    "outputs": [
@@ -150,7 +165,7 @@
      "text": [
       "Forcing data for Wflow\n",
       "----------------------\n",
-      "Directory: ./wflow_example_case_nc\n",
+      "Directory: ./parameter-sets/wflow_rhine_sbm_nc\n",
       "Start time: 1991-01-01T00:00:00Z\n",
       "End time: 1991-12-31T00:00:00Z\n",
       "Shapefile: None\n",
@@ -167,7 +182,7 @@
     "# Load forcing data from an external source\n",
     "import ewatercycle.forcing\n",
     "forcing = ewatercycle.forcing.load_foreign(\n",
-    "    directory = \"./wflow_example_case_nc\",\n",
+    "    directory = \"./parameter-sets/wflow_rhine_sbm_nc\",\n",
     "    target_model = 'wflow',\n",
     "    start_time = '1991-01-01T00:00:00Z',\n",
     "    end_time = '1991-12-31T00:00:00Z',\n",
@@ -184,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "id": "1a321c6b",
    "metadata": {},
    "outputs": [
@@ -194,7 +209,7 @@
        "[('start_time', '1991-01-01T00:00:00Z'), ('end_time', '1991-12-31T00:00:00Z')]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -207,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "00c7a657",
    "metadata": {
     "tags": []
@@ -217,7 +232,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running docker://ewatercycle/wflow-grpc4bmi:2020.1.1 singularity container on port 47585\n"
+      "Running docker://ewatercycle/wflow-grpc4bmi:2020.1.1 singularity container on port 52441\n"
      ]
     }
    ],
@@ -228,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "f1c78f7c",
    "metadata": {},
    "outputs": [
@@ -236,8 +251,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/home/peter/ewatercycle/ewatercycle/examples/wflow_20210614_114036/wflow_ewatercycle.ini\n",
-      "/home/peter/ewatercycle/ewatercycle/examples/wflow_20210614_114036\n"
+      "/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/wflow_20210629_135436/wflow_ewatercycle.ini\n",
+      "/home/verhoes/git/eWaterCycle/ewatercycle/docs/examples/wflow_20210629_135436\n"
      ]
     }
    ],
@@ -274,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "id": "38e516e4",
    "metadata": {},
    "outputs": [],
@@ -285,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "id": "61b07b8b",
    "metadata": {},
    "outputs": [
@@ -295,7 +310,7 @@
        "array([-999., -999., -999., ..., -999., -999., -999.])"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -307,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "8aac3b30",
    "metadata": {
     "tags": []
@@ -680,13 +695,13 @@
        "  * latitude   (latitude) float64 45.89 45.93 45.97 46.0 ... 51.98 52.02 52.05\n",
        "    time       object 1990-12-31 00:00:00\n",
        "Attributes:\n",
-       "    units:     m/s</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'RiverRunoff'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 169</li><li><span class='xr-has-index'>longitude</span>: 187</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-21a08259-df77-4716-b1f9-f288899acf21' class='xr-array-in' type='checkbox' checked><label for='section-21a08259-df77-4716-b1f9-f288899acf21' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "    units:     m/s</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'RiverRunoff'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 169</li><li><span class='xr-has-index'>longitude</span>: 187</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-10be500e-a664-4a2d-9049-89cc38040b3a' class='xr-array-in' type='checkbox' checked><label for='section-10be500e-a664-4a2d-9049-89cc38040b3a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       ...,\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-3b3af7b2-6ab7-4ea9-9d04-a21ba4e86c5a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b3af7b2-6ab7-4ea9-9d04-a21ba4e86c5a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.227 5.264 5.3 ... 12.01 12.05</div><input id='attrs-529b46a8-9abd-4595-8c5c-7afe4eb2130e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-529b46a8-9abd-4595-8c5c-7afe4eb2130e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c59d3f-958b-4d8d-9bf1-68c157d05f83' class='xr-var-data-in' type='checkbox'><label for='data-d6c59d3f-958b-4d8d-9bf1-68c157d05f83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 5.227163,  5.26383 ,  5.300497,  5.337163,  5.37383 ,  5.410497,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-9f443e15-b6df-43f3-a26a-3d4df99e7e82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f443e15-b6df-43f3-a26a-3d4df99e7e82' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.227 5.264 5.3 ... 12.01 12.05</div><input id='attrs-2910710b-6b1a-4ba4-b477-6817f5027cdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2910710b-6b1a-4ba4-b477-6817f5027cdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6943c029-f109-4b03-99a7-2b10e315c6ec' class='xr-var-data-in' type='checkbox'><label for='data-6943c029-f109-4b03-99a7-2b10e315c6ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 5.227163,  5.26383 ,  5.300497,  5.337163,  5.37383 ,  5.410497,\n",
        "        5.447163,  5.48383 ,  5.520497,  5.557163,  5.59383 ,  5.630497,\n",
        "        5.667163,  5.70383 ,  5.740497,  5.777164,  5.81383 ,  5.850497,\n",
        "        5.887163,  5.92383 ,  5.960497,  5.997163,  6.03383 ,  6.070497,\n",
@@ -717,7 +732,7 @@
        "       11.387163, 11.42383 , 11.460497, 11.497164, 11.53383 , 11.570497,\n",
        "       11.607163, 11.64383 , 11.680496, 11.717163, 11.75383 , 11.790497,\n",
        "       11.827164, 11.86383 , 11.900496, 11.937163, 11.97383 , 12.010497,\n",
-       "       12.047163])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.89 45.93 45.97 ... 52.02 52.05</div><input id='attrs-3e9f7442-97ec-42d7-ba09-bfaeb7951b6c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e9f7442-97ec-42d7-ba09-bfaeb7951b6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c4551bb-7a22-4410-8051-7a09877f994a' class='xr-var-data-in' type='checkbox'><label for='data-5c4551bb-7a22-4410-8051-7a09877f994a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([45.894268, 45.930935, 45.967602, 46.004265, 46.040932, 46.077599,\n",
+       "       12.047163])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.89 45.93 45.97 ... 52.02 52.05</div><input id='attrs-874205bc-22a4-45e4-b937-a4bad6a28c63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-874205bc-22a4-45e4-b937-a4bad6a28c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac45ce52-3d33-4d48-be3d-305ad43eb838' class='xr-var-data-in' type='checkbox'><label for='data-ac45ce52-3d33-4d48-be3d-305ad43eb838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([45.894268, 45.930935, 45.967602, 46.004265, 46.040932, 46.077599,\n",
        "       46.114265, 46.150932, 46.187599, 46.224266, 46.260933, 46.2976  ,\n",
        "       46.334267, 46.370934, 46.4076  , 46.444267, 46.480934, 46.517601,\n",
        "       46.554268, 46.590935, 46.627602, 46.664268, 46.700932, 46.737598,\n",
@@ -745,7 +760,7 @@
        "       51.394268, 51.430935, 51.467602, 51.504265, 51.540932, 51.577599,\n",
        "       51.614265, 51.650932, 51.687599, 51.724266, 51.760933, 51.7976  ,\n",
        "       51.834267, 51.870934, 51.9076  , 51.944267, 51.980934, 52.017601,\n",
-       "       52.054268])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1990-12-31 00:00:00</div><input id='attrs-2dca2dec-e23a-4874-ad0e-19b38ae90ded' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2dca2dec-e23a-4874-ad0e-19b38ae90ded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2f815e3-96cd-4367-9a0e-4dcb7213c2d1' class='xr-var-data-in' type='checkbox'><label for='data-a2f815e3-96cd-4367-9a0e-4dcb7213c2d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeGregorian(1990, 12, 31, 0, 0, 0, 0), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee720edf-0569-41b3-bdc2-ce2b5cc2adb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee720edf-0569-41b3-bdc2-ce2b5cc2adb4' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd> m/s</dd></dl></div></li></ul></div></div>"
+       "       52.054268])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1990-12-31 00:00:00</div><input id='attrs-48efcf97-01a7-4292-8f3d-de28c8ff2e16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48efcf97-01a7-4292-8f3d-de28c8ff2e16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-354a3f08-e6dc-4f65-95f3-f7b0009413de' class='xr-var-data-in' type='checkbox'><label for='data-354a3f08-e6dc-4f65-95f3-f7b0009413de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeGregorian(1990, 12, 31, 0, 0, 0, 0), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8318bdfd-2b87-4895-b71d-a772d0e85ab7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8318bdfd-2b87-4895-b71d-a772d0e85ab7' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd> m/s</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'RiverRunoff' (latitude: 169, longitude: 187)>\n",
@@ -764,7 +779,7 @@
        "    units:     m/s"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -776,7 +791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "2487e640",
    "metadata": {},
    "outputs": [
@@ -855,23 +870,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "id": "32f9ed0f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x7f6ffe937970>"
+       "<matplotlib.collections.QuadMesh at 0x7fd4b2345130>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -890,7 +905,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "id": "aafce78a",
    "metadata": {},
    "outputs": [],
@@ -925,7 +940,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,
diff --git a/ewatercycle/config/__init__.py b/ewatercycle/config/__init__.py
index 27f703ac..d7d1d9b5 100644
--- a/ewatercycle/config/__init__.py
+++ b/ewatercycle/config/__init__.py
@@ -42,7 +42,7 @@
     >>> CFG['output_dir'] = 123
     InvalidConfigParameter: Key `output_dir`: Expected a path, but got 123
 
-By default, the config is loaded from the default location (i.e. ``~/.config/.ewatercycle/ewatercycle.yaml``).
+By default, the config is loaded from the default location (i.e. ``~/.config/ewatercycle/ewatercycle.yaml``).
 If it does not exist, it falls back to the default values.
 to load a different file:
 
@@ -62,8 +62,8 @@
 
 The configuration is loaded from:
 
- 1. ``~/$XDG_CONFIG_HOME/.ewatercycle/ewatercycle.yaml``
- 2. ``~/.config/.ewatercycle/ewatercycle.yaml``
+ 1. ``~/$XDG_CONFIG_HOME/ewatercycle/ewatercycle.yaml``
+ 2. ``~/.config/ewatercycle/ewatercycle.yaml``
  3. ``/etc/ewatercycle.yaml``
  4. Fall back to empty configuration
 
@@ -81,9 +81,12 @@
     wflow.docker_images: ewatercycle/wflow-grpc4bmi:2020.1.1
 """
 
-from ._config_object import CFG, Config
+from ._config_object import CFG, Config, SYSTEM_CONFIG, USER_HOME_CONFIG, DEFAULT_CONFIG
 
 __all__ = [
     'CFG',
     'Config',
+    'DEFAULT_CONFIG',
+    'SYSTEM_CONFIG',
+    'USER_HOME_CONFIG'
 ]
diff --git a/ewatercycle/config/_config_object.py b/ewatercycle/config/_config_object.py
index bf7e0555..098a3d46 100644
--- a/ewatercycle/config/_config_object.py
+++ b/ewatercycle/config/_config_object.py
@@ -1,15 +1,18 @@
 """Importable config object."""
 
 import os
-from datetime import datetime
+from io import StringIO
+from logging import getLogger
 from pathlib import Path
-from typing import Union, Optional
+from typing import Union, Optional, TextIO
 
-from ruamel import yaml
+from ruamel.yaml import YAML
 
 from ._validators import _validators
 from ._validated_config import ValidatedConfig
 
+logger = getLogger(__name__)
+
 
 class Config(ValidatedConfig):
     """Configuration object.
@@ -67,6 +70,52 @@ def reload(self) -> None:
         filename = self.get('ewatercycle_config', DEFAULT_CONFIG)
         self.load_from_file(filename)
 
+    def dump_to_yaml(self) -> str:
+        """Dumps YAML formatted string of Config object
+        """
+        stream = StringIO()
+        self._save_to_stream(stream)
+        return stream.getvalue()
+
+    def _save_to_stream(self, stream: TextIO):
+        cp = self.copy()
+
+        # Exclude own path from dump
+        cp.pop("ewatercycle_config", None)
+
+        cp["esmvaltool_config"] = str(cp["esmvaltool_config"])
+        cp["grdc_location"] = str(cp["grdc_location"])
+        cp["singularity_dir"] = str(cp["singularity_dir"])
+        cp["output_dir"] = str(cp["output_dir"])
+        cp["parameterset_dir"] = str(cp["parameterset_dir"])
+
+        yaml = YAML(typ='safe')
+        yaml.dump(cp, stream)
+
+    def save_to_file(self, config_file: Optional[Union[os.PathLike, str]] = None):
+        """Write conf object to a file.
+
+        Args:
+            config_file: File to write configuration object to.
+                If not given then will try to use `CFG['ewatercycle_config']` location
+                and if `CFG['ewatercycle_config']` is not set then will use the location in users home directory.
+        """
+        # Exclude own path from dump
+        old_config_file = self.get("ewatercycle_config", None)
+
+        if config_file is None:
+            config_file = USER_HOME_CONFIG if old_config_file is None else old_config_file
+
+        if config_file == DEFAULT_CONFIG:
+            raise PermissionError(f'Not allowed to write to {config_file}', config_file)
+
+        with open(config_file, "w") as f:
+            self._save_to_stream(f)
+
+        logger.info(f"Config written to {config_file}")
+
+        return config_file
+
 
 def read_config_file(config_file: Union[os.PathLike, str]) -> dict:
     """Read config user file and store settings in a dictionary."""
@@ -75,15 +124,16 @@ def read_config_file(config_file: Union[os.PathLike, str]) -> dict:
         raise IOError(f'Config file `{config_file}` does not exist.')
 
     with open(config_file, 'r') as file:
-        cfg = yaml.safe_load(file)
+        yaml = YAML(typ='safe')
+        cfg = yaml.load(file)
 
     return cfg
 
 
-def find_user_config(sources: tuple, filename: str) -> Optional[os.PathLike]:
+def find_user_config(sources: tuple) -> Optional[os.PathLike]:
     """Find user config in list of source directories."""
     for source in sources:
-        user_config = source / filename
+        user_config = source
         if user_config.exists():
             return user_config
     return None
@@ -91,12 +141,15 @@ def find_user_config(sources: tuple, filename: str) -> Optional[os.PathLike]:
 
 FILENAME = 'ewatercycle.yaml'
 
+USER_HOME_CONFIG = Path.home() / os.environ.get('XDG_CONFIG_HOME', '.config') / 'ewatercycle' / FILENAME
+SYSTEM_CONFIG = Path('/etc') / FILENAME
+
 SOURCES = (
-    Path.home() / os.environ.get('XDG_CONFIG_HOME', '.config') / '.ewatercycle',
-    Path('/etc'),
+    USER_HOME_CONFIG,
+    SYSTEM_CONFIG
 )
 
-USER_CONFIG = find_user_config(SOURCES, FILENAME)
+USER_CONFIG = find_user_config(SOURCES)
 DEFAULT_CONFIG = Path(__file__).parent / FILENAME
 
 CFG_DEFAULT = Config._load_default_config(DEFAULT_CONFIG)
diff --git a/ewatercycle/config/_validated_config.py b/ewatercycle/config/_validated_config.py
index 6a94aa8e..3ecdbf68 100644
--- a/ewatercycle/config/_validated_config.py
+++ b/ewatercycle/config/_validated_config.py
@@ -81,11 +81,3 @@ def copy(self):
     def clear(self):
         """Clear Config."""
         self._mapping.clear()
-
-    def get_subset(self, key: str) -> dict:
-        """Return a dict with the subset of this config dict whose keys
-        start with `{key}.`
-        """
-        pattern_re = re.compile(f'^{key}\.')
-        return dict((pattern_re.sub('', key), value)
-                    for key, value in self.items() if pattern_re.search(key))
diff --git a/ewatercycle/config/_validators.py b/ewatercycle/config/_validators.py
index cfa13b63..34a80237 100644
--- a/ewatercycle/config/_validators.py
+++ b/ewatercycle/config/_validators.py
@@ -20,24 +20,26 @@ def _make_type_validator(cls, *, allow_none=False):
     Return a validator that converts inputs to *cls* or raises (and
     possibly allows ``None`` as well).
     """
+
     def validator(inp):
         looks_like_none = isinstance(inp, str) and (inp.lower() == "none")
-        if (allow_none and (inp is None or looks_like_none)):
+        if allow_none and (inp is None or looks_like_none):
             return None
         try:
             return cls(inp)
         except ValueError as err:
             if isinstance(cls, type):
                 raise ValidationError(
-                    f'Could not convert {repr(inp)} to {cls.__name__}'
+                    f"Could not convert {repr(inp)} to {cls.__name__}"
                 ) from err
             raise
 
     validator.__name__ = f"validate_{cls.__name__}"
     if allow_none:
         validator.__name__ += "_or_None"
-    validator.__qualname__ = (validator.__qualname__.rsplit(".", 1)[0] + "." +
-                              validator.__name__)
+    validator.__qualname__ = (
+        validator.__qualname__.rsplit(".", 1)[0] + "." + validator.__name__
+    )
     return validator
 
 
@@ -46,17 +48,17 @@ def validator(inp):
 # the the 'Python Software Foundation License'
 # (https://www.python.org/psf/license)
 @lru_cache()
-def _listify_validator(scalar_validator,
-                       allow_stringlist=False,
-                       *,
-                       n_items=None,
-                       docstring=None):
+def _listify_validator(
+    scalar_validator, allow_stringlist=False, *, n_items=None, docstring=None
+):
     """Apply the validator to a list."""
+
     def func(inp):
         if isinstance(inp, str):
             try:
                 inp = [
-                    scalar_validator(val.strip()) for val in inp.split(',')
+                    scalar_validator(val.strip())
+                    for val in inp.split(",")
                     if val.strip()
                 ]
             except Exception:
@@ -64,37 +66,44 @@ def func(inp):
                     # Sometimes, a list of colors might be a single string
                     # of single-letter colornames. So give that a shot.
                     inp = [
-                        scalar_validator(val.strip()) for val in inp
+                        scalar_validator(val.strip())
+                        for val in inp
                         if val.strip()
                     ]
                 else:
                     raise
         # Allow any ordered sequence type -- generators, np.ndarray, pd.Series
         # -- but not sets, whose iteration order is non-deterministic.
-        elif isinstance(inp,
-                        Iterable) and not isinstance(inp, (set, frozenset)):
+        elif isinstance(inp, Iterable) and not isinstance(
+            inp, (set, frozenset)
+        ):
             # The condition on this list comprehension will preserve the
             # behavior of filtering out any empty strings (behavior was
             # from the original validate_stringlist()), while allowing
             # any non-string/text scalar values such as numbers and arrays.
             inp = [
-                scalar_validator(val) for val in inp
+                scalar_validator(val)
+                for val in inp
                 if not isinstance(val, str) or val
             ]
         else:
             raise ValidationError(
-                f"Expected str or other non-set iterable, but got {inp}")
+                f"Expected str or other non-set iterable, but got {inp}"
+            )
         if n_items is not None and len(inp) != n_items:
-            raise ValidationError(f"Expected {n_items} values, "
-                                  f"but there are {len(inp)} values in {inp}")
+            raise ValidationError(
+                f"Expected {n_items} values, "
+                f"but there are {len(inp)} values in {inp}"
+            )
         return inp
 
     try:
         func.__name__ = "{}list".format(scalar_validator.__name__)
     except AttributeError:  # class instance.
         func.__name__ = "{}List".format(type(scalar_validator).__name__)
-    func.__qualname__ = func.__qualname__.rsplit(".",
-                                                 1)[0] + "." + func.__name__
+    func.__qualname__ = (
+        func.__qualname__.rsplit(".", 1)[0] + "." + func.__name__
+    )
     if docstring is not None:
         docstring = scalar_validator.__doc__
     func.__doc__ = docstring
@@ -115,36 +124,31 @@ def validate_path(value, allow_none=False):
 
 validate_string = _make_type_validator(str)
 validate_string_or_none = _make_type_validator(str, allow_none=True)
-validate_stringlist = _listify_validator(validate_string,
-                                         docstring='Return a list of strings.')
+validate_stringlist = _listify_validator(
+    validate_string, docstring="Return a list of strings."
+)
 validate_int = _make_type_validator(int)
 validate_int_or_none = _make_type_validator(int, allow_none=True)
 validate_float = _make_type_validator(float)
-validate_floatlist = _listify_validator(validate_float,
-                                        docstring='Return a list of floats.')
+validate_floatlist = _listify_validator(
+    validate_float, docstring="Return a list of floats."
+)
 
 validate_path_or_none = _make_type_validator(validate_path, allow_none=True)
 
-validate_pathlist = _listify_validator(validate_path,
-                                       docstring='Return a list of paths.')
+validate_pathlist = _listify_validator(
+    validate_path, docstring="Return a list of paths."
+)
+
+validate_dict_parameterset = _make_type_validator(dict, allow_none=True)
 
 _validators = {
-    'esmvaltool_config': validate_path_or_none,
-    'grdc_location': validate_path_or_none,
-    'container_engine': validate_string_or_none,
-    'singularity_dir': validate_path_or_none,
-    'output_dir': validate_path_or_none,
-    'ewatercycle_config': validate_path_or_none,
-    # wflow specific
-    'wflow.singularity_image': validate_string_or_none,
-    'wflow.docker_image': validate_string_or_none,
-    # marrmot specific
-    'marrmot.singularity_image': validate_string_or_none,
-    'marrmot.docker_image': validate_string_or_none,
-    # lisflood specific
-    'lisflood.singularity_image': validate_string_or_none,
-    'lisflood.docker_image': validate_string_or_none,
-    # pcrglobwb specific
-    'pcrglobwb.singularity_image': validate_string_or_none,
-    'pcrglobwb.docker_image': validate_string_or_none,
+    "esmvaltool_config": validate_path_or_none,
+    "grdc_location": validate_path_or_none,
+    "container_engine": validate_string_or_none,
+    "singularity_dir": validate_path_or_none,
+    "output_dir": validate_path_or_none,
+    "parameterset_dir": validate_path_or_none,
+    "parameter_sets": validate_dict_parameterset,
+    "ewatercycle_config": validate_path_or_none,
 }
diff --git a/ewatercycle/config/ewatercycle.yaml b/ewatercycle/config/ewatercycle.yaml
index c54121f3..05b1d752 100644
--- a/ewatercycle/config/ewatercycle.yaml
+++ b/ewatercycle/config/ewatercycle.yaml
@@ -3,3 +3,5 @@ grdc_location: null
 container_engine: null
 singularity_dir: null
 output_dir: null
+parameterset_dir: null
+parameter_sets: null
diff --git a/ewatercycle/forcing/_lisflood.py b/ewatercycle/forcing/_lisflood.py
index 4a391ec1..1e8afadd 100644
--- a/ewatercycle/forcing/_lisflood.py
+++ b/ewatercycle/forcing/_lisflood.py
@@ -20,11 +20,11 @@ def __init__(
         end_time: str,
         directory: str,
         shape: Optional[str] = None,
-        PrefixPrecipitation: Optional[str] = 'pr.nc',
-        PrefixTavg: Optional[str] = 'tas.nc',
-        PrefixE0: Optional[str] = 'e0.nc',
-        PrefixES0: Optional[str] = 'es0.nc',
-        PrefixET0: Optional[str] = 'et0.nc',
+        PrefixPrecipitation: str = 'pr.nc',
+        PrefixTavg: str = 'tas.nc',
+        PrefixE0: str = 'e0.nc',
+        PrefixES0: str = 'es0.nc',
+        PrefixET0: str = 'et0.nc',
     ):
         """
             PrefixPrecipitation: Path to a NetCDF or pcraster file with
diff --git a/ewatercycle/models/abstract.py b/ewatercycle/models/abstract.py
index ea742287..47c85a86 100644
--- a/ewatercycle/models/abstract.py
+++ b/ewatercycle/models/abstract.py
@@ -1,20 +1,39 @@
+import logging
 from abc import ABCMeta, abstractmethod
 from os import PathLike
-from typing import Tuple, Iterable, Any
+from typing import Tuple, Iterable, Any, TypeVar, Generic, Optional, ClassVar, Set
 
 import numpy as np
 import xarray as xr
 from basic_modeling_interface import Bmi
 
+from ewatercycle.forcing import DefaultForcing
+from ewatercycle.parameter_sets import ParameterSet
 
-class AbstractModel(metaclass=ABCMeta):
+logger = logging.getLogger(__name__)
+
+ForcingT = TypeVar('ForcingT', bound=DefaultForcing)
+
+
+class AbstractModel(Generic[ForcingT], metaclass=ABCMeta):
     """Abstract class of a eWaterCycle model.
 
-    Attributes
-        bmi (Bmi): Basic Modeling Interface object
     """
-    def __init__(self):
+    available_versions: ClassVar[Tuple[str, ...]] = tuple()
+    """Versions of model that are available in this class"""
+
+    def __init__(self,
+                 version: str,
+                 parameter_set: ParameterSet = None,
+                 forcing: Optional[ForcingT] = None,
+                 ):
+        self.version = version
+        self.parameter_set = parameter_set
+        self.forcing: Optional[ForcingT] = forcing
+        self._check_version()
+        self._check_parameter_set()
         self.bmi: Bmi = None  # bmi should set in setup() before calling its methods
+        """Basic Modeling Interface object"""
 
     @abstractmethod
     def setup(self, *args, **kwargs) -> Tuple[PathLike, PathLike]:
@@ -95,7 +114,8 @@ def set_value_at_coords(self, name: str, lat: Iterable[float], lon: Iterable[flo
         indices = np.array(indices)
         self.bmi.set_value_at_indices(name, indices, values)
 
-    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[Iterable[int], Iterable[float], Iterable[float]]:
+    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[
+        Iterable[int], Iterable[float], Iterable[float]]:
         """Converts lat/lon values to index.
 
         Args:
@@ -150,3 +170,24 @@ def time_step(self) -> float:
     def output_var_names(self) -> Iterable[str]:
         """List of a model's output variables."""
         return self.bmi.get_output_var_names()
+
+    def _check_parameter_set(self):
+        if not self.parameter_set:
+            # Nothing to check
+            return
+        model_name = self.__class__.__name__.lower()
+        if model_name != self.parameter_set.target_model:
+            raise ValueError(f'Parameter set has wrong target model, '
+                             f'expected {model_name} got {self.parameter_set.target_model}')
+        if self.parameter_set.supported_model_versions == set():
+            logger.info(f'Model version {self.version} is not explicitly listed in the supported model versions '
+                        f'of this parameter set. This can lead to compatibility issues.')
+        elif self.version not in self.parameter_set.supported_model_versions:
+            raise ValueError(
+                f'Parameter set is not compatible with version {self.version} of model, '
+                f'parameter set only supports {self.parameter_set.supported_model_versions}')
+
+    def _check_version(self):
+        if self.version not in self.available_versions:
+            raise ValueError(f'Supplied version {self.version} is not supported by this model. '
+                             f'Available versions are {self.available_versions}.')
diff --git a/ewatercycle/models/lisflood.py b/ewatercycle/models/lisflood.py
index b69c3b1a..56725262 100644
--- a/ewatercycle/models/lisflood.py
+++ b/ewatercycle/models/lisflood.py
@@ -1,8 +1,7 @@
 import time
 import xml.etree.ElementTree as ET
-from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, Iterable, List, Tuple, Union
+from typing import Any, Iterable, Tuple
 
 import numpy as np
 import xarray as xr
@@ -13,36 +12,12 @@
 from ewatercycle import CFG
 from ewatercycle.forcing._lisflood import LisfloodForcing
 from ewatercycle.models.abstract import AbstractModel
+from ewatercycle.parameter_sets import ParameterSet
 from ewatercycle.parametersetdb.config import AbstractConfig
 from ewatercycle.util import get_time, find_closest_point
 
 
-@dataclass
-class LisfloodParameterSet:
-    """Input files specific for parameter_set, model boundaries, and configuration template files
-
-    Example:
-
-    .. code-block::
-
-        parameter_set = LisfloodParameterSet(
-            PathRoot='/projects/0/wtrcycle/comparison/lisflood_input/Lisflood01degree_masked',
-            MaskMap='/projects/0/wtrcycle/comparison/recipes_auxiliary_datasets/LISFLOOD/model_mask.nc',
-            config_template='/projects/0/wtrcycle/comparison/lisflood_input/settings_templates/settings_lisflood.xml',
-        )
-    """
-    PathRoot: Path
-    """Directory with input files"""
-    MaskMap: Path
-    """A NetCDF file with model boundaries"""
-    config_template: Path
-    """Config file used as template for a lisflood run"""
-
-    def __setattr__(self, name: str, value: Union[str, Path]):
-        self.__dict__[name] = Path(value).expanduser().resolve()
-
-
-class Lisflood(AbstractModel):
+class Lisflood(AbstractModel[LisfloodForcing]):
     """eWaterCycle implementation of Lisflood hydrological model.
 
     Args:
@@ -50,22 +25,17 @@ class Lisflood(AbstractModel):
       parameter_set: LISFLOOD input files. Any included forcing data will be ignored.
       forcing: a LisfloodForcing object.
 
-    Attributes:
-        bmi (Bmi): Basic Modeling Interface object
-
     Example:
         See examples/lisflood.ipynb in `ewatercycle repository <https://github.com/eWaterCycle/ewatercycle>`_
     """
-    available_versions = ["20.10"]
+    available_versions = ("20.10",)
     """Versions for which ewatercycle grpc4bmi docker images are available."""
 
-    def __init__(self, version: str, parameter_set: LisfloodParameterSet, forcing: LisfloodForcing):
+    def __init__(self, version: str, parameter_set: ParameterSet, forcing: LisfloodForcing):
         """Construct Lisflood model with initial values. """
-        super().__init__()
-        self.version = version
+        super().__init__(version, parameter_set, forcing)
         self._check_forcing(forcing)
-        self.parameter_set = parameter_set
-        self.cfg = XmlConfig(self.parameter_set.config_template)
+        self.cfg = XmlConfig(parameter_set.config)
 
     def _set_docker_image(self):
         images = {
@@ -88,13 +58,14 @@ def _get_textvar_value(self, name: str):
             f'Name {name} not found in the config file.'
         )
 
-
     # unable to subclass with more specialized arguments so ignore type
     def setup(self,  # type: ignore
               IrrigationEfficiency: str = None,
               start_time: str = None,
               end_time: str = None,
-              work_dir: Path = None) -> Tuple[Path, Path]:
+              MaskMap: str = None,
+              work_dir: Path = None
+              ) -> Tuple[Path, Path]:
         """Configure model run
 
         1. Creates config file and config directory based on the forcing variables and time range
@@ -104,25 +75,36 @@ def setup(self,  # type: ignore
             IrrigationEfficiency: Field application irrigation efficiency max 1, ~0.90 drip irrigation, ~0.75 sprinkling
             start_time: Start time of model in UTC and ISO format string e.g. 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing start time is used.
             end_time: End time of model in  UTC and ISO format string e.g. 'YYYY-MM-DDTHH:MM:SSZ'. If not given then forcing end time is used.
+            MaskMap: Mask map to use instead of one supplied in parameter set.
+                Path to a NetCDF or pcraster file with same dimensions as parameter set map files and a boolean variable.
             work_dir: a working directory given by user or created for user.
 
         Returns:
             Path to config file and path to config directory
         """
 
-        #TODO forcing can be a part of parameter_set
+        # TODO forcing can be a part of parameter_set
         work_dir = _generate_workdir(work_dir)
-        config_file = self._create_lisflood_config(work_dir, start_time, end_time, IrrigationEfficiency)
+        config_file = self._create_lisflood_config(work_dir, start_time, end_time, IrrigationEfficiency, MaskMap)
+
+        assert self.parameter_set is not None
+        input_dirs = [
+                    str(self.parameter_set.directory),
+                    str(self.forcing_dir)
+                ]
+        if MaskMap is not None:
+            mask_map = Path(MaskMap).expanduser().resolve()
+            try:
+                mask_map.relative_to(self.parameter_set.directory)
+            except ValueError:
+                # If not relative add dir
+                input_dirs.append(str(mask_map.parent))
 
         if CFG['container_engine'].lower() == 'singularity':
             self._set_singularity_image(CFG['singularity_dir'])
             self.bmi = BmiClientSingularity(
                 image=str(self.singularity_image),
-                input_dirs=[
-                    str(self.parameter_set.PathRoot),
-                    str(self.parameter_set.MaskMap.parent),
-                    str(self.forcing_dir)
-                ],
+                input_dirs=input_dirs,
                 work_dir=str(work_dir),
             )
         elif CFG['container_engine'].lower() == 'docker':
@@ -130,11 +112,7 @@ def setup(self,  # type: ignore
             self.bmi = BmiClientDocker(
                 image=self.docker_image,
                 image_port=55555,
-                input_dirs=[
-                    str(self.parameter_set.PathRoot),
-                    str(self.parameter_set.MaskMap.parent),
-                    str(self.forcing_dir)
-                ],
+                input_dirs=input_dirs,
                 work_dir=str(work_dir),
             )
         else:
@@ -158,18 +136,21 @@ def _check_forcing(self, forcing):
                 f"Unknown forcing type: {forcing}. Please supply a LisfloodForcing object."
             )
 
-    def _create_lisflood_config(self, work_dir: Path, start_time_iso: str = None, end_time_iso: str = None, IrrigationEfficiency: str = None) -> Path:
+    def _create_lisflood_config(self, work_dir: Path, start_time_iso: str = None, end_time_iso: str = None,
+                                IrrigationEfficiency: str = None, MaskMap: str = None) -> Path:
         """Create lisflood config file"""
+        assert self.parameter_set is not None
+        assert self.forcing is not None
         # overwrite dates if given
         if start_time_iso is not None:
             start_time = get_time(start_time_iso)
-            if self._start  <= start_time <= self._end:
+            if self._start <= start_time <= self._end:
                 self._start = start_time
             else:
                 raise ValueError('start_time outside forcing time range')
         if end_time_iso is not None:
             end_time = get_time(end_time_iso)
-            if self._start  <= end_time <= self._end:
+            if self._start <= end_time <= self._end:
                 self._end = end_time
             else:
                 raise ValueError('end_time outside forcing time range')
@@ -178,14 +159,16 @@ def _create_lisflood_config(self, work_dir: Path, start_time_iso: str = None, en
             "CalendarDayStart": self._start.strftime("%d/%m/%Y 00:00"),
             "StepStart": "1",
             "StepEnd": str((self._end - self._start).days),
-            "PathRoot": str(self.parameter_set.PathRoot),
-            "MaskMap": self.parameter_set.MaskMap.stem,
+            "PathRoot": str(self.parameter_set.directory),
             "PathMeteo": str(self.forcing_dir),
             "PathOut": str(work_dir),
         }
 
         if IrrigationEfficiency is not None:
             settings['IrrigationEfficiency'] = IrrigationEfficiency
+        if MaskMap is not None:
+            mask_map = Path(MaskMap).expanduser().resolve()
+            settings['MaskMap'] = str(mask_map.with_suffix(''))
 
         for textvar in self.cfg.config.iter("textvar"):
             textvar_name = textvar.attrib["name"]
@@ -241,10 +224,11 @@ def get_value_as_xarray(self, name: str) -> xr.DataArray:
 
         return da
 
-    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[Iterable[int], Iterable[float], Iterable[float]]:
+    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[
+        Iterable[int], Iterable[float], Iterable[float]]:
         """Convert lat, lon coordinates into model indices."""
         grid_id = self.bmi.get_var_grid(name)
-        shape = self.bmi.get_grid_shape(grid_id) # shape returns (len(y), len(x))
+        shape = self.bmi.get_grid_shape(grid_id)  # shape returns (len(y), len(x))
         x_model = self.bmi.get_grid_x(grid_id)
         y_model = self.bmi.get_grid_y(grid_id)
         spacing_model = self.bmi.get_grid_spacing(grid_id)
@@ -264,26 +248,29 @@ def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[floa
                 raise ValueError("This point is outside of the model grid.")
 
             indices.append(index)
-            lon_converted.append(round(x_model[idx], 4)) # use 4 digits in round
-            lat_converted.append(round(y_model[idy], 4)) # use 4 digits in round
+            lon_converted.append(round(x_model[idx], 4))  # use 4 digits in round
+            lat_converted.append(round(y_model[idy], 4))  # use 4 digits in round
 
         return np.array(indices), np.array(lon_converted), np.array(lat_converted)
 
     @property
     def parameters(self) -> Iterable[Tuple[str, Any]]:
         """List the parameters for this model."""
-        #TODO fix issue #60
+        assert self.parameter_set is not None
+        assert self.forcing is not None
+        # TODO fix issue #60
         parameters = [
             ('IrrigationEfficiency', self._get_textvar_value('IrrigationEfficiency')),
-            ('PathRoot', str(self.parameter_set.PathRoot)),
-            ('MaskMap', str(self.parameter_set.MaskMap.parent)),
-            ('config_template', str(self.parameter_set.config_template)),
+            ('PathRoot', str(self.parameter_set.directory)),
+            ('MaskMap', self._get_textvar_value('MaskMap')),
+            ('config_template', str(self.parameter_set.config)),
             ('start_time', self._start.strftime("%Y-%m-%dT%H:%M:%SZ")),
             ('end_time', self._end.strftime("%Y-%m-%dT%H:%M:%SZ")),
-            ('forcing directory',  str(self.forcing_dir)),
+            ('forcing directory', str(self.forcing_dir)),
         ]
         return parameters
 
+
 # TODO it needs fix regarding forcing
 # def reindex_forcings(mask_map: Path, forcing: LisfloodForcing, output_dir: Path = None) -> Path:
 #     """Reindex forcing files to match mask map grid
diff --git a/ewatercycle/models/marrmot.py b/ewatercycle/models/marrmot.py
index 75f8a32d..776f6d6b 100644
--- a/ewatercycle/models/marrmot.py
+++ b/ewatercycle/models/marrmot.py
@@ -41,7 +41,7 @@ def _generate_work_dir(work_dir: Path = None) -> Path:
     return work_dir
 
 
-class MarrmotM01(AbstractModel):
+class MarrmotM01(AbstractModel[MarrmotForcing]):
     """eWaterCycle implementation of Marrmot Collie River 1 (traditional bucket) hydrological model.
 
     It sets MarrmotM01 parameter with an initial value that is the mean value of the range specfied in `model parameter range file <https://github.com/wknoben/MARRMoT/blob/master/MARRMoT/Models/Parameter%20range%20files/m_01_collie1_1p_1s_parameter_ranges.m>`_.
@@ -49,23 +49,19 @@ class MarrmotM01(AbstractModel):
     Args:
         version: pick a version for which an ewatercycle grpc4bmi docker image is available.
         forcing: a MarrmotForcing object.
-            If forcing file contains parameter and other settings, those are used and can be changed in :py:meth:`steup`.
-
-    Attributes:
-        bmi (Bmi): Basic Modeling Interface object
+            If forcing file contains parameter and other settings, those are used and can be changed in :py:meth:`setup`.
 
     Example:
         See examples/marrmotM01.ipynb in `ewatercycle repository <https://github.com/eWaterCycle/ewatercycle>`_
     """
     model_name = "m_01_collie1_1p_1s"
     """Name of model in Matlab code."""
-    available_versions = ["2020.11"]
+    available_versions = ("2020.11",)
     """Versions for which ewatercycle grpc4bmi docker images are available."""
 
     def __init__(self, version: str, forcing: MarrmotForcing):
         """Construct MarrmotM01 with initial values. """
-        super().__init__()
-        self.version = version
+        super().__init__(version)
         self._parameters = [1000.0]
         self.store_ini = [900.0]
         self.solver = Solver()
@@ -262,14 +258,15 @@ def parameters(self) -> Iterable[Tuple[str, Any]]:
 
 
 M14_PARAMS = ('maximum_soil_moisture_storage',
-            'threshold_flow_generation_evap_change',
-            'leakage_saturated_zone_flow_coefficient',
-            'zero_deficit_base_flow_speed',
-            'baseflow_coefficient',
-            'gamma_distribution_chi_parameter',
-            'gamma_distribution_phi_parameter')
-
-class MarrmotM14(AbstractModel):
+              'threshold_flow_generation_evap_change',
+              'leakage_saturated_zone_flow_coefficient',
+              'zero_deficit_base_flow_speed',
+              'baseflow_coefficient',
+              'gamma_distribution_chi_parameter',
+              'gamma_distribution_phi_parameter')
+
+
+class MarrmotM14(AbstractModel[MarrmotForcing]):
     """eWaterCycle implementation of Marrmot Top Model hydrological model.
 
     It sets MarrmotM14 parameter with an initial value that is the mean value of the range specfied in `model parameter range file <https://github.com/wknoben/MARRMoT/blob/master/MARRMoT/Models/Parameter%20range%20files/m_14_topmodel_7p_2s_parameter_ranges.m>`_.
@@ -279,21 +276,17 @@ class MarrmotM14(AbstractModel):
         forcing: a MarrmotForcing object.
             If forcing file contains parameter and other settings, those are used and can be changed in :py:meth:`setup`.
 
-    Attributes:
-        bmi (Bmi): Basic Modeling Interface object
-
     Example:
         See examples/marrmotM14.ipynb in `ewatercycle repository <https://github.com/eWaterCycle/ewatercycle>`_
     """
     model_name = "m_14_topmodel_7p_2s"
     """Name of model in Matlab code."""
-    available_versions = ["2020.11"]
+    available_versions = ("2020.11",)
     """Versions for which ewatercycle grpc4bmi docker images are available."""
 
     def __init__(self, version: str, forcing: MarrmotForcing):
         """Construct MarrmotM14 with initial values. """
-        super().__init__()
-        self.version = version
+        super().__init__(version)
         self._parameters = [1000.0, 0.5, 0.5, 100.0, 0.5, 4.25, 2.5]
         self.store_ini = [900.0, 900.0]
         self.solver = Solver()
@@ -404,12 +397,14 @@ def _check_forcing(self, forcing):
             if len(forcing_data['parameters']) == len(self._parameters):
                 self._parameters = forcing_data['parameters']
             else:
-                warnings.warn(f"The length of parameters in forcing {self.forcing_file} does not match the length of M14 parameters that is seven.")
+                warnings.warn(
+                    f"The length of parameters in forcing {self.forcing_file} does not match the length of M14 parameters that is seven.")
         if 'store_ini' in forcing_data:
             if len(forcing_data['store_ini']) == len(self.store_ini):
                 self.store_ini = forcing_data['store_ini']
             else:
-                warnings.warn(f"The length of initial stores in forcing {self.forcing_file} does not match the length of M14 iniatial stores that is two.")
+                warnings.warn(
+                    f"The length of initial stores in forcing {self.forcing_file} does not match the length of M14 iniatial stores that is two.")
         if 'solver' in forcing_data:
             forcing_solver = forcing_data['solver']
             self.solver.name = forcing_solver['name'][0][0][0]
@@ -503,7 +498,7 @@ def get_value_as_xarray(self, name: str) -> xr.DataArray:
     @property
     def parameters(self) -> Iterable[Tuple[str, Any]]:
         """List the parameters for this model."""
-        p:List[Tuple[str, Any]] = list(zip(M14_PARAMS, self._parameters))
+        p: List[Tuple[str, Any]] = list(zip(M14_PARAMS, self._parameters))
         p += [
             ('initial_upper_zone_storage', self.store_ini[0]),
             ('initial_saturated_zone_storage', self.store_ini[1]),
diff --git a/ewatercycle/models/pcrglobwb.py b/ewatercycle/models/pcrglobwb.py
index 3f9a474e..f8f4b562 100644
--- a/ewatercycle/models/pcrglobwb.py
+++ b/ewatercycle/models/pcrglobwb.py
@@ -1,64 +1,33 @@
 import time
-from dataclasses import dataclass
 from os import PathLike
 from pathlib import Path
-from typing import Any, Iterable, Tuple, Union
+from typing import Any, Iterable, Tuple
 
 import numpy as np
 import xarray as xr
 from cftime import num2date
+from grpc import FutureTimeoutError
 from grpc4bmi.bmi_client_docker import BmiClientDocker
 from grpc4bmi.bmi_client_singularity import BmiClientSingularity
 
 from ewatercycle import CFG
 from ewatercycle.forcing._pcrglobwb import PCRGlobWBForcing
 from ewatercycle.models.abstract import AbstractModel
+from ewatercycle.parameter_sets import ParameterSet
 from ewatercycle.parametersetdb.config import CaseConfigParser
 from ewatercycle.util import get_time
-from grpc import FutureTimeoutError
-
 
-@dataclass
-class PCRGlobWBParameterSet:
-    """Parameter set for the PCRGlobWB model class.
 
-    A valid pcrglobwb parameter set consists of a folder with input data files
-    and should always include a default configuration file.
-    """
-
-    input_dir: Union[str, PathLike]
-    """Input folder path."""
-    default_config: Union[str, PathLike]
-    """Path to (default) model configuration file consistent with `input_data`."""
-
-    def __setattr__(self, name: str, value: Union[str, PathLike]):
-        self.__dict__[name] = Path(value).expanduser().resolve()
-
-    def __str__(self):
-        """Nice formatting of the parameterset object."""
-        return "\n".join(
-            [
-                "Wflow parameter set",
-                "-------------------",
-                f"Directory: {self.input_dir}",
-                f"Default configuration file: {self.default_config}",
-            ]
-        )
-
-
-class PCRGlobWB(AbstractModel):
+class PCRGlobWB(AbstractModel[PCRGlobWBForcing]):
     """eWaterCycle implementation of PCRGlobWB hydrological model.
 
     Args:
 
         version: pick a version from :py:attr:`~available_versions`
-        parameter_set: instance of :py:class:`~PCRGlobWBParameterSet`.
+        parameter_set: instance of :py:class:`~ewatercycle.parameter_sets.default.ParameterSet`.
         forcing: ewatercycle forcing container;
             see :py:mod:`ewatercycle.forcing`.
 
-    Attributes:
-
-        bmi (Bmi): GRPC4BMI Basic Modeling Interface object
     """
 
     available_versions = ("setters",)
@@ -66,15 +35,10 @@ class PCRGlobWB(AbstractModel):
     def __init__(
         self,
         version: str,
-        parameter_set: PCRGlobWBParameterSet,
+        parameter_set: ParameterSet,
         forcing: PCRGlobWBForcing,
     ):
-        super().__init__()
-
-        self.version = version
-        self.parameter_set = parameter_set
-        self.forcing = forcing
-
+        super().__init__(version, parameter_set, forcing)
         self._set_docker_image()
 
         self._setup_work_dir()
@@ -94,8 +58,8 @@ def _setup_work_dir(self):
         self.work_dir = work_dir.expanduser().resolve()
 
     def _setup_default_config(self):
-        config_file = self.parameter_set.default_config
-        input_dir = self.parameter_set.input_dir
+        config_file = self.parameter_set.config
+        input_dir = self.parameter_set.directory
 
         cfg = CaseConfigParser()
         cfg.read(config_file)
@@ -207,7 +171,7 @@ def _export_config(self) -> PathLike:
 
     def _start_container(self):
         additional_input_dirs = [
-            str(self.parameter_set.input_dir),
+            str(self.parameter_set.directory),
             str(self.forcing.directory),
         ]
 
diff --git a/ewatercycle/models/wflow.py b/ewatercycle/models/wflow.py
index 9da3da36..49453738 100644
--- a/ewatercycle/models/wflow.py
+++ b/ewatercycle/models/wflow.py
@@ -1,10 +1,9 @@
 import shutil
 import time
-from dataclasses import dataclass
 from datetime import datetime
 from os import PathLike
 from pathlib import Path
-from typing import Any, Iterable, Optional, Tuple, Union
+from typing import Any, Iterable, Optional, Tuple
 
 import numpy as np
 import xarray as xr
@@ -16,46 +15,19 @@
 from ewatercycle import CFG
 from ewatercycle.forcing._wflow import WflowForcing
 from ewatercycle.models.abstract import AbstractModel
+from ewatercycle.parameter_sets import ParameterSet
 from ewatercycle.parametersetdb.config import CaseConfigParser
 from ewatercycle.util import get_time
 
 
-@dataclass
-class WflowParameterSet:
-    """Parameter set for the Wflow model class.
-
-    A valid wflow parameter set consists of a input data files
-    and should always include a default configuration file.
-    """
-
-    input_data: Union[str, PathLike]
-    """Input folder path."""
-    default_config: Union[str, PathLike]
-    """Path to (default) model configuration file consistent with `input_data`."""
-    def __setattr__(self, name: str, value: Union[str, PathLike]):
-        self.__dict__[name] = Path(value).expanduser().resolve()
-
-    def __str__(self):
-        """Nice formatting of parameter set."""
-        return "\n".join([
-            "Wflow parameterset",
-            "------------------",
-            f"Directory: {self.input_data}",
-            f"Default configuration file: {self.default_config}",
-        ])
-
-
-class Wflow(AbstractModel):
+class Wflow(AbstractModel[WflowForcing]):
     """Create an instance of the Wflow model class.
 
     Args:
         version: pick a version from :py:attr:`~available_versions`
-        parameter_set: instance of :py:class:`~WflowParameterSet`.
+        parameter_set: instance of :py:class:`~ewatercycle.parameter_sets.default.ParameterSet`.
         forcing: instance of :py:class:`~WflowForcing` or None.
             If None, it is assumed that forcing is included with the parameter_set.
-
-    Attributes:
-        bmi (Bmi): GRPC4BMI Basic Modeling Interface object
     """
 
     available_versions = ("2020.1.1", )
@@ -63,15 +35,11 @@ class Wflow(AbstractModel):
     def __init__(
         self,
         version: str,
-        parameter_set: WflowParameterSet,
+        parameter_set: ParameterSet,
         forcing: Optional[WflowForcing] = None,
     ):
 
-        super().__init__()
-        self.version = version
-        self.parameter_set = parameter_set
-        self.forcing = forcing
-
+        super().__init__(version, parameter_set, forcing)
         self._set_docker_image()
         self._setup_default_config()
 
@@ -83,7 +51,7 @@ def _set_docker_image(self):
         self.docker_image = images[self.version]
 
     def _setup_default_config(self):
-        config_file = self.parameter_set.default_config
+        config_file = self.parameter_set.config
         forcing = self.forcing
 
         cfg = CaseConfigParser()
@@ -133,7 +101,7 @@ def _setup_working_directory(self):
         working_directory = CFG["output_dir"] / f"wflow_{timestamp}"
         self.work_dir = working_directory.resolve()
 
-        shutil.copytree(src=self.parameter_set.input_data,
+        shutil.copytree(src=self.parameter_set.directory,
                         dst=working_directory)
         forcing_path = Path(self.forcing.directory) / self.forcing.netcdfinput
         shutil.copy(src=forcing_path, dst=working_directory)
diff --git a/ewatercycle/parameter_sets/__init__.py b/ewatercycle/parameter_sets/__init__.py
new file mode 100644
index 00000000..d9d178ff
--- /dev/null
+++ b/ewatercycle/parameter_sets/__init__.py
@@ -0,0 +1,125 @@
+from itertools import chain
+from logging import getLogger
+from os import linesep
+from typing import Dict, Tuple
+
+from ewatercycle import CFG
+from . import _pcrglobwb, _lisflood, _wflow
+from ._example import ExampleParameterSet
+from .default import ParameterSet
+from ..config import DEFAULT_CONFIG, SYSTEM_CONFIG, USER_HOME_CONFIG
+
+logger = getLogger(__name__)
+
+
+def _parse_parametersets():
+    parametersets = {}
+    if CFG["parameter_sets"] is None:
+        return []
+    for name, options in CFG["parameter_sets"].items():
+        parameterset = ParameterSet(name=name, **options)
+        parametersets[name] = parameterset
+
+    return parametersets
+
+
+def available_parameter_sets(target_model: str = None) -> Tuple[str, ...]:
+    """List available parameter sets on this machine.
+
+    Args:
+        target_model: Filter parameter sets on a model name
+
+    Returns: Names of available parameter sets on current machine.
+
+    """
+    all_parameter_sets = _parse_parametersets()
+    if not all_parameter_sets:
+        if CFG['ewatercycle_config'] == DEFAULT_CONFIG:
+            raise ValueError(f'No configuration file found.')
+        raise ValueError(f'No parameter sets defined in {CFG["ewatercycle_config"]}. '
+                         f'Use `ewatercycle.parareter_sets.download_example_parameter_sets` to download examples '
+                         f'or define your own or ask whoever setup the ewatercycle system to do it.')
+        # TODO explain somewhere how to add new parameter sets
+    filtered = tuple(
+        name
+        for name, ps in all_parameter_sets.items()
+        if ps.is_available and (target_model is None or ps.target_model == target_model)
+    )
+    if not filtered:
+        raise ValueError(f'No parameter sets defined for {target_model} model in {CFG["ewatercycle_config"]}. '
+                         f'Use `ewatercycle.parareter_sets.download_example_parameter_sets` to download examples '
+                         f'or define your own or ask whoever setup the ewatercycle system to do it.')
+    return filtered
+
+
+def get_parameter_set(name: str) -> ParameterSet:
+    """Get parameter set object available on this machine so it can be used in a model.
+
+    Args:
+        name: Name of parameter set
+
+    Returns: Parameter set object that can be used in an ewatercycle model constructor.
+
+    """
+    all_parameter_sets = _parse_parametersets()
+
+    ps = all_parameter_sets.get(name)
+    if ps is None:
+        raise KeyError(f"No parameter set available with name {name}")
+
+    if not ps.is_available:
+        raise ValueError(f"Cannot find parameter set with attributes {ps}")
+
+    return ps
+
+
+def download_parameter_sets(zenodo_doi: str, target_model: str, config: str):
+    # TODO add docstring
+    # TODO download archive matching doi from Zenodo
+    # TODO unpack archive in CFG['parameterset_dir'] subdirectory
+    # TODO print yaml snippet with target_model and config to add to ewatercycle.yaml
+    raise NotImplementedError("Auto download of parameter sets not yet supported")
+
+
+def example_parameter_sets() -> Dict[str, ExampleParameterSet]:
+    """Lists example parameter sets that can be downloaded with :py:func:`~download_example_parameter_sets`.
+    """
+    # TODO how to add a new model docs should be updated with this part
+    examples = chain(
+        _wflow.example_parameter_sets(),
+        _pcrglobwb.example_parameter_sets(),
+        _lisflood.example_parameter_sets(),
+    )
+    return {e.name: e for e in examples}
+
+
+def download_example_parameter_sets(skip_existing=True):
+    """Downloads all of the example parameter sets and adds them to the config_file.
+
+    Downloads to `parameterset_dir` directory defined in :py:data:`ewatercycle.config.CFG`.
+
+    Args:
+        skip_existing: When true will not download any parameter set which already has a local directory.
+            When false will raise ValueError exception when parameter set already exists.
+
+    """
+    examples = example_parameter_sets()
+
+    i = 0
+    for example in examples.values():
+        example.download(skip_existing)
+        example.to_config()
+        i += 1
+
+    logger.info(f"{i} example parameter sets were downloaded")
+
+    try:
+        config_file = CFG.save_to_file()
+        logger.info(f"Saved parameter sets to configuration file {config_file}")
+    except OSError as e:
+        raise OSError(
+            f"Failed to write parameter sets to configuration file. "
+            f"Manually save content below to {USER_HOME_CONFIG} "
+            f"or {SYSTEM_CONFIG} file: {linesep}"
+            f"{CFG.dump_to_yaml()}"
+        ) from e
diff --git a/ewatercycle/parameter_sets/_example.py b/ewatercycle/parameter_sets/_example.py
new file mode 100644
index 00000000..c1df98e2
--- /dev/null
+++ b/ewatercycle/parameter_sets/_example.py
@@ -0,0 +1,71 @@
+import subprocess
+from logging import getLogger
+from pathlib import Path
+from typing import Set
+from urllib import request
+
+from ewatercycle import CFG
+from .default import ParameterSet
+
+logger = getLogger(__name__)
+
+
+class ExampleParameterSet(ParameterSet):
+    def __init__(
+        self,
+        config_url: str,
+        datafiles_url: str,
+        name,
+        directory: str,
+        config: str,
+        supported_model_versions: Set[str] = None,
+        doi="N/A",
+        target_model="generic",
+    ):
+        super().__init__(name, directory, config, doi, target_model, supported_model_versions)
+        self.config_url = config_url
+        """URL where model configuration file can be downloaded"""
+        self.datafiles_url = datafiles_url
+        """GitHub subversion URL where datafiles can be svn-exported from"""
+
+    def download(self, skip_existing=False):
+        if self.directory.exists():
+            if not skip_existing:
+                raise ValueError(f"Directory {self.directory} for parameter set {self.name}"
+                                 f" already exists, will not overwrite. "
+                                 f"Try again with skip_existing=True or remove {self.directory} directory.")
+
+            logger.info(f'Directory {self.directory} for parameter set {self.name}'
+                        f' already exists, skipping download.')
+            return
+        logger.info(
+            f"Downloading example parameter set {self.name} to {self.directory}..."
+        )
+
+        subprocess.check_call(["svn", "export", self.datafiles_url, self.directory])
+        # TODO replace subversion with alternative see https://stackoverflow.com/questions/33066582/how-to-download-a-folder-from-github/48948711
+        response = request.urlopen(self.config_url)
+        self.config.write_text(response.read().decode())
+
+        logger.info("Download complete.")
+
+    def to_config(self):
+        logger.info(f"Adding parameterset {self.name} to ewatercycle.CFG... ")
+
+        if not CFG["parameter_sets"]:
+            CFG["parameter_sets"] = {}
+
+        CFG["parameter_sets"][self.name] = dict(
+            directory=str(_abbreviate(self.directory)),
+            config=str(_abbreviate(self.config)),
+            doi=self.doi,
+            target_model=self.target_model,
+            supported_model_versions=self.supported_model_versions,
+        )
+
+
+def _abbreviate(path: Path):
+    try:
+        return path.relative_to(CFG["parameterset_dir"])
+    except ValueError:
+        return path
diff --git a/ewatercycle/parameter_sets/_lisflood.py b/ewatercycle/parameter_sets/_lisflood.py
new file mode 100644
index 00000000..bfb37255
--- /dev/null
+++ b/ewatercycle/parameter_sets/_lisflood.py
@@ -0,0 +1,21 @@
+from typing import Iterable
+
+from ._example import ExampleParameterSet
+
+
+def example_parameter_sets() -> Iterable[ExampleParameterSet]:
+    return [
+        ExampleParameterSet(
+            # Relative to CFG['parameterset_dir']
+            directory="lisflood_fraser",
+            name="lisflood_fraser",
+            # Relative to CFG['parameterset_dir']
+            config="lisflood_fraser/settings_lat_lon-Run.xml",
+            datafiles_url="https://github.com/ec-jrc/lisflood-usecases/trunk/LF_lat_lon_UseCase",
+            # Raw url to config file
+            config_url="https://github.com/ec-jrc/lisflood-usecases/raw/master/LF_lat_lon_UseCase/settings_lat_lon-Run.xml",
+            doi="N/A",
+            target_model="lisflood",
+            supported_model_versions={"20.10"}
+        )
+    ]
diff --git a/ewatercycle/parameter_sets/_pcrglobwb.py b/ewatercycle/parameter_sets/_pcrglobwb.py
new file mode 100644
index 00000000..60f5e26d
--- /dev/null
+++ b/ewatercycle/parameter_sets/_pcrglobwb.py
@@ -0,0 +1,21 @@
+from typing import Iterable
+
+from ._example import ExampleParameterSet
+
+
+def example_parameter_sets() -> Iterable[ExampleParameterSet]:
+    return [
+        ExampleParameterSet(
+            # Relative to CFG['parameterset_dir']
+            directory="pcrglobwb_example_case",
+            name="pcrglobwb_example_case",
+            # Relative to CFG['parameterset_dir']
+            config="pcrglobwb_example_case/setup_natural_test.ini",
+            datafiles_url="https://github.com/UU-Hydro/PCR-GLOBWB_input_example/trunk/RhineMeuse30min",
+            # Raw url to config file
+            config_url="https://raw.githubusercontent.com/UU-Hydro/PCR-GLOBWB_input_example/master/ini_and_batch_files_for_pcrglobwb_course/rhine_meuse_30min_using_input_example/setup_natural_test.ini",
+            doi="N/A",
+            target_model="pcrglobwb",
+            supported_model_versions={"setters"}
+        )
+    ]
diff --git a/ewatercycle/parameter_sets/_wflow.py b/ewatercycle/parameter_sets/_wflow.py
new file mode 100644
index 00000000..8634b524
--- /dev/null
+++ b/ewatercycle/parameter_sets/_wflow.py
@@ -0,0 +1,21 @@
+from typing import Iterable
+
+from ._example import ExampleParameterSet
+
+
+def example_parameter_sets() -> Iterable[ExampleParameterSet]:
+    return [
+        ExampleParameterSet(
+            # Relative to CFG['parameterset_dir']
+            directory="wflow_rhine_sbm_nc",
+            name="wflow_rhine_sbm_nc",
+            # Relative to CFG['parameterset_dir']
+            config="wflow_rhine_sbm_nc/wflow_sbm_NC.ini",
+            datafiles_url="https://github.com/openstreams/wflow/trunk/examples/wflow_rhine_sbm_nc",
+            # Raw url to config file
+            config_url="https://github.com/openstreams/wflow/raw/master/examples/wflow_rhine_sbm_nc/wflow_sbm_NC.ini",
+            doi="N/A",
+            target_model="wflow",
+            supported_model_versions={"2020.1.1"}
+        )
+    ]
diff --git a/ewatercycle/parameter_sets/default.py b/ewatercycle/parameter_sets/default.py
new file mode 100644
index 00000000..dd7022c3
--- /dev/null
+++ b/ewatercycle/parameter_sets/default.py
@@ -0,0 +1,65 @@
+from pathlib import Path
+from typing import Set, Optional
+
+from ewatercycle import CFG
+
+
+class ParameterSet:
+    """Container object for parameter set options.
+
+    Attributes:
+        name (str): Name of parameter set
+        directory (Path): Location on disk where files of parameter set are stored.
+            If Path is relative then relative to CFG['parameterset_dir'].
+        config (Path): Model configuration file which uses files from :py:attr:`~directory`.
+            If Path is relative then relative to CFG['parameterset_dir'].
+        doi (str): Persistent identifier of parameter set. For a example a DOI for a Zenodo record.
+        target_model (str): Name of model that parameter set can work with
+        supported_model_versions (Set[str]): Set of model versions that are supported by this parameter set.
+            If not set then parameter set will be supported by all versions of model
+    """
+
+    def __init__(
+        self,
+        name: str,
+        directory: str,
+        config: str,
+        doi="N/A",
+        target_model="generic",
+        supported_model_versions: Optional[Set[str]] = None,
+    ):
+        self.name = name
+        self.directory = _make_absolute(directory)
+        self.config = _make_absolute(config)
+        self.doi = doi
+        self.target_model = target_model
+        self.supported_model_versions = set() if supported_model_versions is None else supported_model_versions
+
+    def __repr__(self):
+        options = ", ".join(f"{k}={v!r}" for k, v in self.__dict__.items())
+        return f"ParameterSet({options})"
+
+    def __str__(self):
+        """Nice formatting of parameter set."""
+        return "\n".join(
+            [
+                "Parameter set",
+                "-------------",
+            ]
+            + [f"{k}={v!r}" for k, v in self.__dict__.items()]
+        )
+
+    @property
+    def is_available(self) -> bool:
+        """Tests if directory and config file is available on this machine"""
+        return self.directory.exists() and self.config.exists()
+
+
+def _make_absolute(input_path: str) -> Path:
+    pathlike = Path(input_path)
+    if pathlike.is_absolute():
+        return pathlike
+    if CFG["parameterset_dir"]:
+        return CFG["parameterset_dir"] / pathlike
+    else:
+        raise ValueError(f'CFG["parameterset_dir"] is not set. Unable to make {input_path} relative to it')
diff --git a/tests/config/test_config.py b/tests/config/test_config.py
index 2de1d026..03f5410b 100644
--- a/tests/config/test_config.py
+++ b/tests/config/test_config.py
@@ -169,19 +169,3 @@ def test_config_class():
     assert isinstance(cfg['grdc_location'], Path)
     assert isinstance(cfg['output_dir'], Path)
     assert isinstance(cfg['singularity_dir'], Path)
-
-
-def test_get_subset():
-    """Test getting a subset of config params."""
-    config = {
-        'wflow.singularity_image': "ewatercycle-wflow-grpc4bmi.sif",
-        'wflow.docker_image': "ewatercycle/wflow-grpc4bmi:latest",
-    }
-
-    cfg = Config(config)
-    subset = cfg.get_subset('wflow')
-
-    assert 'singularity_image' in subset
-    assert 'docker_image' in subset
-    assert 'wflow.singularity_image' not in subset
-    assert 'wflow.docker_image' not in subset
diff --git a/tests/models/test_abstract.py b/tests/models/test_abstract.py
index 28035e83..f28ab1cd 100644
--- a/tests/models/test_abstract.py
+++ b/tests/models/test_abstract.py
@@ -1,3 +1,4 @@
+import logging
 from os import PathLike
 from pathlib import Path
 from typing import Any, Iterable, Tuple
@@ -9,10 +10,27 @@
 from basic_modeling_interface import Bmi
 from numpy.testing import assert_array_equal
 
+from ewatercycle import CFG
+from ewatercycle.config import DEFAULT_CONFIG
 from ewatercycle.models.abstract import AbstractModel
+from ewatercycle.parameter_sets import ParameterSet
+
+
+@pytest.fixture
+def setup_config(tmp_path):
+    CFG['parameterset_dir'] = tmp_path
+    CFG['ewatercycle_config'] = tmp_path / 'ewatercycle.yaml'
+    yield CFG
+    CFG['ewatercycle_config'] = DEFAULT_CONFIG
+    CFG.reload()
 
 
 class MockedModel(AbstractModel):
+    available_versions = ('0.4.2',)
+
+    def __init__(self, version: str = '0.4.2', parameter_set: ParameterSet = None):
+        super().__init__(version, parameter_set)
+
     def setup(self, *args, **kwargs) -> Tuple[PathLike, PathLike]:
         if 'bmi' in kwargs:
             # sub-class of AbstractModel should construct bmi
@@ -24,18 +42,18 @@ def get_value_as_xarray(self, name: str) -> xr.DataArray:
         return xr.DataArray(
             data=[[1.0, 2.0], [3.0, 4.0]],
             coords={
-                "latitude":[42.25, 42.21],
-                "longitude":[-99.83, -99.32],
-                "time":'2014-09-06'},
+                "latitude": [42.25, 42.21],
+                "longitude": [-99.83, -99.32],
+                "time": '2014-09-06'},
             dims=["longitude", "latitude"],
             name='Temperature',
             attrs=dict(units="degC"),
         )
 
-    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[Iterable[int], Iterable[float], Iterable[float]]:
+    def _coords_to_indices(self, name: str, lat: Iterable[float], lon: Iterable[float]) -> Tuple[
+        Iterable[int], Iterable[float], Iterable[float]]:
         return np.array([0]), np.array([-99.83]), np.array([42.25])
 
-
     @property
     def parameters(self) -> Iterable[Tuple[str, Any]]:
         return [('area', 42)]
@@ -53,15 +71,23 @@ def model(bmi: Bmi):
     m.setup(bmi=bmi)
     return m
 
+
 def test_construct():
     with pytest.raises(TypeError) as excinfo:
-        AbstractModel()
+        AbstractModel(version='0.4.2')
     msg = str(excinfo.value)
     assert "Can't instantiate abstract class" in msg
     assert 'setup' in msg
     assert 'parameters' in msg
 
 
+def test_construct_with_unsupported_version():
+    with pytest.raises(ValueError) as excinfo:
+        MockedModel(version='1.2.3')
+
+    assert "Supplied version 1.2.3 is not supported by this model. Available versions are ('0.4.2',)." in str(excinfo.value)
+
+
 def test_setup(model):
     result = model.setup()
 
@@ -161,25 +187,80 @@ def test_time_step(bmi, model: MockedModel):
 
 
 def test_output_var_names(bmi, model: MockedModel):
-    bmi.get_output_var_names.return_value = ('discharge', )
+    bmi.get_output_var_names.return_value = ('discharge',)
 
     names = model.output_var_names
 
-    assert names == ('discharge', )
+    assert names == ('discharge',)
 
 
 def test_get_value_as_xarray(model: MockedModel):
     expected = xr.DataArray(
-            data=[[1.0, 2.0], [3.0, 4.0]],
-            coords={
-                "latitude":[42.25, 42.21],
-                "longitude":[-99.83, -99.32],
-                "time":'2014-09-06'},
-            dims=["longitude", "latitude"],
-            name='Temperature',
-            attrs=dict(units="degC"),
-        )
+        data=[[1.0, 2.0], [3.0, 4.0]],
+        coords={
+            "latitude": [42.25, 42.21],
+            "longitude": [-99.83, -99.32],
+            "time": '2014-09-06'},
+        dims=["longitude", "latitude"],
+        name='Temperature',
+        attrs=dict(units="degC"),
+    )
 
     dataarray = model.get_value_as_xarray("Temperature")
 
     xr.testing.assert_equal(dataarray, expected)
+
+
+class TestCheckParameterSet:
+    def test_correct_version(self, setup_config):
+        ps = ParameterSet(
+            name='justatest',
+            directory='justatest',
+            config='justatest/config.ini',
+            target_model='mockedmodel',  # == lowered class name
+            supported_model_versions={'0.4.2'}
+        )
+        m = MockedModel(parameter_set=ps)
+        assert m.parameter_set == ps
+
+    def test_wrong_model(self, setup_config):
+        ps = ParameterSet(
+            name='justatest',
+            directory='justatest',
+            config='justatest/config.ini',
+            target_model='wrongmodel',
+            supported_model_versions={'0.4.2'}
+        )
+        with pytest.raises(ValueError) as excinfo:
+            MockedModel(parameter_set=ps)
+
+        expected = 'Parameter set has wrong target model'
+        assert expected in str(excinfo.value)
+
+    def test_any_version(self, caplog, setup_config):
+        ps = ParameterSet(
+            name='justatest',
+            directory='justatest',
+            config='justatest/config.ini',
+            target_model='mockedmodel',  # == lowered class name
+            supported_model_versions=set()
+        )
+        with caplog.at_level(logging.INFO):
+            MockedModel(parameter_set=ps)
+
+        expected = 'is not explicitly listed in the supported model versions'
+        assert expected in caplog.text
+
+    def test_unsupported_version(self, setup_config):
+        ps = ParameterSet(
+            name='justatest',
+            directory='justatest',
+            config='justatest/config.ini',
+            target_model='mockedmodel',
+            supported_model_versions={'1.2.3'}
+        )
+        with pytest.raises(ValueError) as excinfo:
+            MockedModel(parameter_set=ps)
+
+        expected = 'Parameter set is not compatible with version'
+        assert expected in str(excinfo.value)
diff --git a/tests/models/test_lisflood.py b/tests/models/test_lisflood.py
index eb31ac39..e850659d 100644
--- a/tests/models/test_lisflood.py
+++ b/tests/models/test_lisflood.py
@@ -2,17 +2,16 @@
 from pathlib import Path
 from unittest.mock import patch
 
-import pytest
-from numpy.testing import assert_array_equal
 import numpy as np
-
-from grpc4bmi.bmi_client_singularity import BmiClientSingularity
+import pytest
 from basic_modeling_interface import Bmi
+from grpc4bmi.bmi_client_singularity import BmiClientSingularity
+from numpy.testing import assert_array_equal
 
 from ewatercycle import CFG
 from ewatercycle.forcing import load_foreign
-from ewatercycle.parametersetdb.datafiles import SubversionCopier
-from ewatercycle.models.lisflood import Lisflood, LisfloodParameterSet, XmlConfig
+from ewatercycle.models.lisflood import Lisflood, XmlConfig
+from ewatercycle.parameter_sets import ParameterSet, example_parameter_sets
 
 
 @pytest.fixture
@@ -20,50 +19,36 @@ def mocked_config(tmp_path):
     CFG['output_dir'] = tmp_path
     CFG['container_engine'] = 'singularity'
     CFG['singularity_dir'] = tmp_path
+    CFG['parameterset_dir'] = tmp_path / 'psr'
+    CFG['parameter_sets'] = {}
 
 
 class TestLFlatlonUseCase:
     @pytest.fixture
-    def parameterset(self, tmp_path):
-        # TODO dont let test download stuff from Internet, it is unreliable,
-        #  copy use case files to this repo instead
-        source = 'https://github.com/ec-jrc/lisflood-usecases/trunk/LF_lat_lon_UseCase'
-        copier = SubversionCopier(source)
-        root = tmp_path / 'input'
-        copier.save(str(root))
-
-        mask_dir = tmp_path / 'mask'
-        mask_dir.mkdir()
-        shutil.copy(
-            root / 'maps' / 'masksmall.map',
-            mask_dir / 'model_mask',
-        )
-        return LisfloodParameterSet(
-            PathRoot=root,
-            MaskMap=mask_dir / 'model_mask',
-            config_template=root / 'settings_lat_lon-Run.xml',
-        )
+    def parameterset(self, mocked_config):
+        example_parameter_set = example_parameter_sets()['lisflood_fraser']
+        example_parameter_set.download()
+        example_parameter_set.to_config()
+        return example_parameter_set
 
     @pytest.fixture
-    def generate_forcing(self, tmp_path, parameterset):
+    def generate_forcing(self, tmp_path, parameterset: ParameterSet):
         forcing_dir = tmp_path / 'forcing'
         forcing_dir.mkdir()
-        meteo_dir = Path(parameterset.PathRoot) / 'meteo'
+        meteo_dir = Path(parameterset.directory) / 'meteo'
         # Create the case where forcing data arenot part of parameter_set
         for file in meteo_dir.glob('*.nc'):
             shutil.copy(file, forcing_dir)
 
-        forcing = load_foreign(target_model='lisflood',
-                               directory=str(forcing_dir),
-                               start_time='1986-01-02T00:00:00Z',
-                               end_time='2018-01-02T00:00:00Z',
-                               forcing_info={
-                                   'PrefixPrecipitation': 'tp.nc',
-                                   'PrefixTavg': 'ta.nc',
-                                   'PrefixE0': 'e0.nc',
-                               })
-
-        return forcing
+        return load_foreign(target_model='lisflood',
+                            directory=str(forcing_dir),
+                            start_time='1986-01-02T00:00:00Z',
+                            end_time='2018-01-02T00:00:00Z',
+                            forcing_info={
+                                'PrefixPrecipitation': 'tp.nc',
+                                'PrefixTavg': 'ta.nc',
+                                'PrefixE0': 'e0.nc',
+                            })
 
     @pytest.fixture
     def model(self, parameterset, generate_forcing):
@@ -77,22 +62,21 @@ def model(self, parameterset, generate_forcing):
     def test_default_parameters(self, model: Lisflood, tmp_path):
         expected_parameters = [
             ('IrrigationEfficiency', '0.75'),
-            ('PathRoot', f'{tmp_path}/input'),
-            ('MaskMap', f'{tmp_path}/mask'),
-            ('config_template',  f'{tmp_path}/input/settings_lat_lon-Run.xml'),
+            ('PathRoot', f'{tmp_path}/psr/lisflood_fraser'),
+            ('MaskMap', '$(PathMaps)/masksmall.map'),
+            ('config_template', f'{tmp_path}/psr/lisflood_fraser/settings_lat_lon-Run.xml'),
             ('start_time', '1986-01-02T00:00:00Z'),
             ('end_time', '2018-01-02T00:00:00Z'),
             ('forcing directory', f'{tmp_path}/forcing'),
         ]
         assert model.parameters == expected_parameters
 
-
     @pytest.fixture
     def model_with_setup(self, mocked_config, model: Lisflood):
         with patch.object(BmiClientSingularity, '__init__', return_value=None) as mocked_constructor, patch(
-              'time.strftime', return_value='42'):
+                'time.strftime', return_value='42'):
             config_file, config_dir = model.setup(
-                IrrigationEfficiency = '0.8',
+                IrrigationEfficiency='0.8',
             )
         return config_file, config_dir, mocked_constructor
 
@@ -102,8 +86,7 @@ def test_setup(self, model_with_setup, tmp_path):
         mocked_constructor.assert_called_once_with(
             image=f'{tmp_path}/ewatercycle-lisflood-grpc4bmi_20.10.sif',
             input_dirs=[
-                f'{tmp_path}/input',
-                f'{tmp_path}/mask',
+                f'{tmp_path}/psr/lisflood_fraser',
                 f'{tmp_path}/forcing'],
             work_dir=f'{tmp_path}/lisflood_42')
         assert 'lisflood_42' in str(config_dir)
@@ -130,43 +113,97 @@ def test_get_value_at_coords_multiple(self, model: Lisflood):
         def test_get_value_at_coords_faraway(self, model: Lisflood):
             model.bmi = MockedBmi()
             with pytest.raises(ValueError) as excinfo:
-                    model.get_value_at_coords('Discharge', lon=[0.0], lat=[0.0])
+                model.get_value_at_coords('Discharge', lon=[0.0], lat=[0.0])
             msg = str(excinfo.value)
             assert "This point is outside of the model grid." in msg
 
+    class TestCustomMaskMap:
+        @pytest.fixture
+        def model(self, tmp_path, parameterset, generate_forcing):
+            # Create the case where mask map is not part of parameter_set
+            mask_dir = tmp_path / 'custommask'
+            mask_dir.mkdir()
+            mask_file_in_ps = parameterset.directory / 'maps/mask.map'
+            shutil.copy(mask_file_in_ps, mask_dir / 'mask.map')
+            forcing = generate_forcing
+            m = Lisflood(version='20.10', parameter_set=parameterset, forcing=forcing)
+            yield m
+            if m.bmi:
+                # Clean up container
+                del m.bmi
+
+        @pytest.fixture
+        def model_with_setup(self, tmp_path, mocked_config, model: Lisflood):
+            with patch.object(BmiClientSingularity, '__init__', return_value=None) as mocked_constructor, patch(
+                'time.strftime', return_value='42'):
+                config_file, config_dir = model.setup(
+                    MaskMap=str(tmp_path / 'custommask/mask.map')
+                )
+            return config_file, config_dir, mocked_constructor
+
+        def test_setup(self, model_with_setup, tmp_path):
+            config_file, config_dir, mocked_constructor = model_with_setup
+            _cfg = XmlConfig(str(config_file))
+            mocked_constructor.assert_called_once_with(
+                image=f'{tmp_path}/ewatercycle-lisflood-grpc4bmi_20.10.sif',
+                input_dirs=[
+                    f'{tmp_path}/psr/lisflood_fraser',
+                    f'{tmp_path}/forcing',
+                    f'{tmp_path}/custommask',
+                ],
+                work_dir=f'{tmp_path}/lisflood_42')
+            assert 'lisflood_42' in str(config_dir)
+            assert config_file.name == 'lisflood_setting.xml'
+            for textvar in _cfg.config.iter("textvar"):
+                textvar_name = textvar.attrib["name"]
+                if textvar_name == 'IrrigationEfficiency':
+                    assert textvar.get('value') in ['0.75', '$(IrrigationEfficiency)']
+                if textvar_name == 'MaskMap':
+                    assert textvar.get('value') == f'{tmp_path}/custommask/mask'
+
+        def test_parameters_after_setup(self, model_with_setup, model: Lisflood, tmp_path):
+            expected_parameters = [
+                ('IrrigationEfficiency', '0.75'),
+                ('PathRoot', f'{tmp_path}/psr/lisflood_fraser'),
+                ('MaskMap', f'{tmp_path}/custommask/mask'),
+                ('config_template', f'{tmp_path}/psr/lisflood_fraser/settings_lat_lon-Run.xml'),
+                ('start_time', '1986-01-02T00:00:00Z'),
+                ('end_time', '2018-01-02T00:00:00Z'),
+                ('forcing directory', f'{tmp_path}/forcing'),
+            ]
+            assert model.parameters == expected_parameters
+
 
 class MockedBmi(Bmi):
     """Mimic a real use case with realistic shape and abitrary high precision."""
+
     def get_var_grid(self, name):
         return 0
 
     def get_grid_shape(self, grid_id):
-        return (14, 31) #shape returns (len(y), len(x))
+        return 14, 31  # shape returns (len(y), len(x))
 
     def get_grid_x(self, grid_id):
-         return np.array([-124.450000000003, -124.350000000003, -124.250000000003,
-                -124.150000000003, -124.050000000003, -123.950000000003,
-                -123.850000000003, -123.750000000003, -123.650000000003,
-                -123.550000000003, -123.450000000003, -123.350000000003,
-                -123.250000000003, -123.150000000003, -123.050000000003,
-                -122.950000000003, -122.850000000003, -122.750000000003,
-                -122.650000000003, -122.550000000003, -122.450000000003,
-                -122.350000000003, -122.250000000003, -122.150000000003,
-                -122.050000000003, -121.950000000003, -121.850000000003,
-                -121.750000000003, -121.650000000003, -121.550000000003, -121.450000000003])
+        return np.array([-124.450000000003, -124.350000000003, -124.250000000003,
+                         -124.150000000003, -124.050000000003, -123.950000000003,
+                         -123.850000000003, -123.750000000003, -123.650000000003,
+                         -123.550000000003, -123.450000000003, -123.350000000003,
+                         -123.250000000003, -123.150000000003, -123.050000000003,
+                         -122.950000000003, -122.850000000003, -122.750000000003,
+                         -122.650000000003, -122.550000000003, -122.450000000003,
+                         -122.350000000003, -122.250000000003, -122.150000000003,
+                         -122.050000000003, -121.950000000003, -121.850000000003,
+                         -121.750000000003, -121.650000000003, -121.550000000003, -121.450000000003])
 
     def get_grid_y(self, grid_id):
-         return np.array([53.950000000002, 53.8500000000021, 53.7500000000021, 53.6500000000021,
-                53.5500000000021, 53.4500000000021, 53.3500000000021, 53.2500000000021,
-                53.1500000000021, 53.0500000000021, 52.9500000000021, 52.8500000000021,
-                52.7500000000021, 52.6500000000021 ])
+        return np.array([53.950000000002, 53.8500000000021, 53.7500000000021, 53.6500000000021,
+                         53.5500000000021, 53.4500000000021, 53.3500000000021, 53.2500000000021,
+                         53.1500000000021, 53.0500000000021, 52.9500000000021, 52.8500000000021,
+                         52.7500000000021, 52.6500000000021])
 
     def get_grid_spacing(self, grid_id):
-        return (0.1, 0.1)
+        return 0.1, 0.1
 
     def get_value_at_indices(self, name, indices):
         self.indices = indices
         return np.array([1.0])
-
-
-
diff --git a/tests/models/test_marrmotm01.py b/tests/models/test_marrmotm01.py
index a927bc4d..b53ac3e6 100644
--- a/tests/models/test_marrmotm01.py
+++ b/tests/models/test_marrmotm01.py
@@ -1,7 +1,6 @@
 from datetime import datetime, timezone
 from pathlib import Path
 
-import numpy as np
 import pytest
 import xarray as xr
 from numpy.testing import assert_almost_equal
@@ -10,8 +9,7 @@
 
 from ewatercycle import CFG
 from ewatercycle.forcing import load_foreign
-from ewatercycle.models import MarrmotM01
-from ewatercycle.models.marrmot import Solver
+from ewatercycle.models.marrmot import Solver, MarrmotM01
 
 
 @pytest.fixture
@@ -50,7 +48,6 @@ def model_with_setup(self, model: MarrmotM01):
         return model, cfg_file, cfg_dir
 
     def test_parameters(self, model, forcing_file):
-
         expected = [
             ('maximum_soil_moisture_storage', 10.0),
             ('initial_soil_moisture_storage', 5.0),
@@ -131,12 +128,12 @@ def forcing_file(self, sample_marrmot_forcing_file):
     @pytest.fixture
     def generate_forcing(self, forcing_file):
         forcing = load_foreign('marrmot',
-                                directory=str(Path(forcing_file).parent),
-                                start_time='1989-01-01T00:00:00Z',
-                                end_time='1992-12-31T00:00:00Z',
-                                forcing_info={
-                                    'forcing_file': str(Path(forcing_file).name)
-                                })
+                               directory=str(Path(forcing_file).parent),
+                               start_time='1989-01-01T00:00:00Z',
+                               end_time='1992-12-31T00:00:00Z',
+                               forcing_info={
+                                   'forcing_file': str(Path(forcing_file).name)
+                               })
         return forcing
 
     @pytest.fixture
@@ -166,8 +163,8 @@ def test_setup(self, model_with_setup):
         assert actual['model_name'] == "m_01_collie1_1p_1s"
         assert actual['parameters'] == [[1234]]
         assert actual['store_ini'] == [[4321]]
-        assert_almost_equal(actual['time_start'], [[1990,   1,   1,    0,    0,    0]])
-        assert_almost_equal(actual['time_end'], [[1991,   12,   31,    0,    0,    0]])
+        assert_almost_equal(actual['time_start'], [[1990, 1, 1, 0, 0, 0]])
+        assert_almost_equal(actual['time_end'], [[1991, 12, 31, 0, 0, 0]])
 
 
 class TestWithDatesOutsideRangeSetupAndExampleData:
@@ -178,12 +175,12 @@ def forcing_file(self, sample_marrmot_forcing_file):
     @pytest.fixture
     def generate_forcing(self, forcing_file):
         forcing = load_foreign('marrmot',
-                                directory=str(Path(forcing_file).parent),
-                                start_time='1989-01-01T00:00:00Z',
-                                end_time='1992-12-31T00:00:00Z',
-                                forcing_info={
-                                    'forcing_file': str(Path(forcing_file).name)
-                                })
+                               directory=str(Path(forcing_file).parent),
+                               start_time='1989-01-01T00:00:00Z',
+                               end_time='1992-12-31T00:00:00Z',
+                               forcing_info={
+                                   'forcing_file': str(Path(forcing_file).name)
+                               })
         return forcing
 
     @pytest.fixture
diff --git a/tests/models/test_marrmotm14.py b/tests/models/test_marrmotm14.py
index a786a7d1..11de990f 100644
--- a/tests/models/test_marrmotm14.py
+++ b/tests/models/test_marrmotm14.py
@@ -1,7 +1,6 @@
 from datetime import datetime, timezone
 from pathlib import Path
 
-import numpy as np
 import pytest
 import xarray as xr
 from numpy.testing import assert_almost_equal, assert_array_equal
@@ -10,8 +9,7 @@
 
 from ewatercycle import CFG
 from ewatercycle.forcing import load_foreign
-from ewatercycle.models import MarrmotM14
-from ewatercycle.models.marrmot import Solver
+from ewatercycle.models.marrmot import Solver, MarrmotM14
 
 
 @pytest.fixture
@@ -26,12 +24,12 @@ def generate_forcing(self):
         # Downloaded from
         # https://github.com/wknoben/MARRMoT/blob/master/BMI/Config/BMI_testcase_m01_BuffaloRiver_TN_USA.mat
         forcing = load_foreign('marrmot',
-                                directory=f'{Path(__file__).parent}/data',
-                                start_time='1989-01-01T00:00:00Z',
-                                end_time='1992-12-31T00:00:00Z',
-                                forcing_info={
-                                    'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
-                                })
+                               directory=f'{Path(__file__).parent}/data',
+                               start_time='1989-01-01T00:00:00Z',
+                               end_time='1992-12-31T00:00:00Z',
+                               forcing_info={
+                                   'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
+                               })
         return forcing
 
     @pytest.fixture
@@ -142,12 +140,12 @@ def generate_forcing(self):
         # Downloaded from
         # https://github.com/wknoben/MARRMoT/blob/master/BMI/Config/BMI_testcase_m01_BuffaloRiver_TN_USA.mat
         forcing = load_foreign('marrmot',
-                                directory=f'{Path(__file__).parent}/data',
-                                start_time='1989-01-01T00:00:00Z',
-                                end_time='1992-12-31T00:00:00Z',
-                                forcing_info={
-                                    'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
-                                })
+                               directory=f'{Path(__file__).parent}/data',
+                               start_time='1989-01-01T00:00:00Z',
+                               end_time='1992-12-31T00:00:00Z',
+                               forcing_info={
+                                   'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
+                               })
         return forcing
 
     @pytest.fixture
@@ -178,8 +176,8 @@ def test_setup(self, model_with_setup):
         assert actual['model_name'] == "m_14_topmodel_7p_2s"
         assert_array_equal(actual['parameters'], [[1234.0, 0.5, 0.5, 100.0, 0.5, 4.25, 2.5]])
         assert_array_equal(actual['store_ini'], [[4321, 900]])
-        assert_almost_equal(actual['time_start'], [[1990,   1,   1,    0,    0,    0]])
-        assert_almost_equal(actual['time_end'], [[1991,   12,   31,    0,    0,    0]])
+        assert_almost_equal(actual['time_start'], [[1990, 1, 1, 0, 0, 0]])
+        assert_almost_equal(actual['time_end'], [[1991, 12, 31, 0, 0, 0]])
 
 
 class TestWithDatesOutsideRangeSetupAndExampleData:
@@ -188,12 +186,12 @@ def generate_forcing(self):
         # Downloaded from
         # https://github.com/wknoben/MARRMoT/blob/master/BMI/Config/BMI_testcase_m01_BuffaloRiver_TN_USA.mat
         forcing = load_foreign('marrmot',
-                                directory=f'{Path(__file__).parent}/data',
-                                start_time='1989-01-01T00:00:00Z',
-                                end_time='1992-12-31T00:00:00Z',
-                                forcing_info={
-                                    'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
-                                })
+                               directory=f'{Path(__file__).parent}/data',
+                               start_time='1989-01-01T00:00:00Z',
+                               end_time='1992-12-31T00:00:00Z',
+                               forcing_info={
+                                   'forcing_file': 'BMI_testcase_m01_BuffaloRiver_TN_USA.mat'
+                               })
         return forcing
 
     @pytest.fixture
diff --git a/tests/parameter_sets/__init__.py b/tests/parameter_sets/__init__.py
new file mode 100644
index 00000000..fc1a4a3f
--- /dev/null
+++ b/tests/parameter_sets/__init__.py
@@ -0,0 +1,14 @@
+from ewatercycle import CFG
+from ewatercycle.parameter_sets import download_example_parameter_sets
+
+
+def test_download_example_parameter_sets(tmp_path):
+    CFG["parameterset_dir"] = tmp_path / "parameters"
+    download_example_parameter_sets()
+
+    assert (tmp_path / "parameters" / "pcrglobwb_example_case").exists()
+    assert (tmp_path / "parameters/pcrglobwb_example_case/setup_natural_test.ini").exists()
+
+
+# TODO test for the case where ewatercycle.yaml cfg is not writable
+# TODO test for NoneType paths in CFG
diff --git a/tests/parameter_sets/test_default_parameterset.py b/tests/parameter_sets/test_default_parameterset.py
new file mode 100644
index 00000000..5cd3e3c8
--- /dev/null
+++ b/tests/parameter_sets/test_default_parameterset.py
@@ -0,0 +1,58 @@
+from pathlib import Path
+
+import pytest
+
+from ewatercycle import CFG
+from ewatercycle.parameter_sets import ParameterSet
+
+
+@pytest.fixture
+def mocked_config(tmp_path):
+    CFG['parameterset_dir'] = tmp_path
+    config = tmp_path / 'mymockedconfig.ini'
+    config.write_text('Something')
+    return config
+
+
+class TestDefaults:
+    @pytest.fixture
+    def parameter_set(self, tmp_path, mocked_config: Path):
+        return ParameterSet(
+            name='justatest',
+            directory=str(tmp_path),
+            config=mocked_config.name,
+        )
+
+    def test_directory(self, parameter_set: ParameterSet, tmp_path):
+        assert parameter_set.directory == tmp_path
+
+    def test_config(self, parameter_set: ParameterSet, mocked_config):
+        assert parameter_set.config == mocked_config
+
+    def test_supported_model_versions(self, parameter_set: ParameterSet):
+        assert parameter_set.supported_model_versions == set()
+
+    def test_is_available(self, parameter_set: ParameterSet):
+        assert parameter_set.is_available
+
+    def test_repr(self, parameter_set: ParameterSet, tmp_path):
+        expected = (
+            "ParameterSet(name='justatest', "
+            f"directory=PosixPath('{tmp_path}'), "
+            f"config=PosixPath('{tmp_path}/mymockedconfig.ini'), "
+            "doi='N/A', target_model='generic', supported_model_versions=set())"
+        )
+        assert repr(parameter_set) == expected
+
+    def test_str(self, parameter_set: ParameterSet, tmp_path):
+        expected = (
+            'Parameter set\n'
+            '-------------\n'
+            "name='justatest'\n"
+            f"directory=PosixPath('{tmp_path}')\n"
+            f"config=PosixPath('{tmp_path}/mymockedconfig.ini')\n"
+            "doi='N/A'\n"
+            "target_model='generic'\n"
+            "supported_model_versions=set()"
+        )
+        assert str(parameter_set) == expected
diff --git a/tests/parameter_sets/test_example.py b/tests/parameter_sets/test_example.py
new file mode 100644
index 00000000..99087dc2
--- /dev/null
+++ b/tests/parameter_sets/test_example.py
@@ -0,0 +1,86 @@
+import logging
+from unittest.mock import patch, Mock
+
+import pytest
+
+from ewatercycle import CFG
+from ewatercycle.parameter_sets import ExampleParameterSet
+
+
+@pytest.fixture
+def setup_config(tmp_path):
+    CFG['parameterset_dir'] = tmp_path
+    yield CFG
+    # Rollback changes made to CFG by tests
+    CFG.reload()
+
+
+@pytest.fixture
+def example(setup_config):
+    return ExampleParameterSet(
+        name='firstexample',
+        config_url='https://github.com/mymodelorg/mymodelrepo/raw/master/mymodelexample/config.ini',
+        datafiles_url='https://github.com/mymodelorg/mymodelrepo/trunk/mymodelexample',
+        directory='mymodelexample',
+        config='mymodelexample/config.ini',
+        supported_model_versions={'0.4.2'},
+    )
+
+
+def test_to_config(example):
+    example.to_config()
+
+    assert 'firstexample' in CFG['parameter_sets']
+    expected = dict(
+        doi='N/A',
+        target_model='generic',
+        directory='mymodelexample',
+        config='mymodelexample/config.ini',
+        supported_model_versions={'0.4.2'},
+    )
+    assert CFG['parameter_sets']['firstexample'] == expected
+
+
+@patch('urllib.request.urlopen')
+@patch('subprocess.check_call')
+def test_download(mock_check_call, mock_urlopen, example, tmp_path):
+    ps_dir = tmp_path / 'mymodelexample'
+    r = Mock()
+    r.read.return_value = b'somecontent'
+    mock_urlopen.return_value = r
+    mock_check_call.side_effect = lambda _: ps_dir.mkdir()
+
+    example.download()
+
+    mock_urlopen.assert_called_once_with('https://github.com/mymodelorg/mymodelrepo/raw/master/mymodelexample/config.ini')
+    mock_check_call.assert_called_once_with([
+        'svn', 'export',
+        'https://github.com/mymodelorg/mymodelrepo/trunk/mymodelexample',
+        ps_dir
+    ])
+    assert (ps_dir / 'config.ini').read_text() == 'somecontent'
+
+
+def test_download_already_exists(example, tmp_path):
+    ps_dir = tmp_path / 'mymodelexample'
+    ps_dir.mkdir()
+
+    with pytest.raises(ValueError) as excinfo:
+        example.download()
+
+    assert 'already exists, will not overwrite.' in str(excinfo.value)
+
+
+@patch('urllib.request.urlopen')
+@patch('subprocess.check_call')
+def test_download_already_exists_but_skipped(mock_check_call, mock_urlopen, example, tmp_path, caplog):
+    ps_dir = tmp_path / 'mymodelexample'
+    ps_dir.mkdir()
+
+    with caplog.at_level(logging.INFO):
+        example.download(skip_existing=True)
+
+    mock_urlopen.assert_not_called()
+    mock_check_call.assert_not_called()
+
+    assert 'already exists, skipping download.' in caplog.text
diff --git a/tests/test_parameter_sets.py b/tests/test_parameter_sets.py
new file mode 100644
index 00000000..f0846895
--- /dev/null
+++ b/tests/test_parameter_sets.py
@@ -0,0 +1,113 @@
+from unittest.mock import patch
+
+import pytest
+
+from ewatercycle import CFG
+from ewatercycle.config import DEFAULT_CONFIG
+from ewatercycle.parameter_sets import available_parameter_sets, get_parameter_set, example_parameter_sets, \
+    download_example_parameter_sets, ExampleParameterSet
+
+
+@pytest.fixture
+def setup_config(tmp_path):
+    CFG['parameterset_dir'] = tmp_path
+    CFG['ewatercycle_config'] = tmp_path / 'ewatercycle.yaml'
+    yield CFG
+    CFG['ewatercycle_config'] = DEFAULT_CONFIG
+    CFG.reload()
+
+
+@pytest.fixture
+def mocked_parameterset_dir(setup_config, tmp_path):
+    ps1_dir = tmp_path / 'ps1'
+    ps1_dir.mkdir()
+    config1 = ps1_dir / 'mymockedconfig1.ini'
+    config1.write_text('Something')
+    ps2_dir = tmp_path / 'ps2'
+    ps2_dir.mkdir()
+    config2 = ps2_dir / 'mymockedconfig2.ini'
+    config2.write_text('Something else')
+    CFG['parameter_sets'] = {
+        'ps1': {
+            'directory': str(ps1_dir),
+            'config': str(config1.relative_to(tmp_path)),
+            'target_model': 'generic',
+            'doi': 'somedoi1'
+        },
+        'ps2': {
+            'directory': str(ps2_dir),
+            'config': str(config2.relative_to(tmp_path)),
+            'target_model': 'generic',
+            'doi': 'somedoi2'
+        },
+        'ps3': {
+            'directory': str(tmp_path / 'ps3'),
+            'config': 'unavailable_config_file',
+            'target_model': 'generic',
+            'doi': 'somedoi3'
+        }
+    }
+
+
+class TestAvailableParameterSets:
+    def test_filled(self, mocked_parameterset_dir):
+        names = available_parameter_sets('generic')
+        assert set(names) == {'ps1', 'ps2'}  # ps3 is filtered due to not being available
+
+    def test_no_config(self, tmp_path):
+        # Load default config shipped with package
+        CFG['ewatercycle_config'] = DEFAULT_CONFIG
+        CFG.reload()
+
+        with pytest.raises(ValueError) as excinfo:
+            available_parameter_sets()
+
+        assert 'No configuration file found' in str(excinfo.value)
+
+    def test_no_sets_in_config(self, setup_config):
+        with pytest.raises(ValueError) as excinfo:
+            available_parameter_sets()
+
+        assert 'No parameter sets defined in' in str(excinfo.value)
+
+    def test_no_sets_for_model(self, mocked_parameterset_dir):
+        with pytest.raises(ValueError) as excinfo:
+            available_parameter_sets('somemodel')
+
+        assert 'No parameter sets defined for somemodel model in' in str(excinfo.value)
+
+
+class TestGetParameterSet:
+
+    def test_valid(self, mocked_parameterset_dir, tmp_path):
+        actual = get_parameter_set('ps1')
+
+        assert actual.name == 'ps1'
+        assert actual.directory == tmp_path / 'ps1'
+        assert actual.config == tmp_path / 'ps1' / 'mymockedconfig1.ini'
+        assert actual.doi == 'somedoi1'
+        assert actual.target_model == 'generic'
+
+    def test_unknown(self, mocked_parameterset_dir):
+        with pytest.raises(KeyError):
+            get_parameter_set('ps9999')
+
+    def test_unavailable(self, mocked_parameterset_dir):
+        with pytest.raises(ValueError):
+            get_parameter_set('ps3')
+
+
+def test_example_parameter_sets(setup_config):
+    examples = example_parameter_sets()
+    assert len(list(examples)) > 0
+    for name in examples:
+        assert name == examples[name].name
+
+
+@patch.object(ExampleParameterSet, 'download')
+def test_download_example_parameter_sets(mocked_download, setup_config, tmp_path):
+    download_example_parameter_sets()
+
+    assert mocked_download.call_count > 0
+    assert CFG['ewatercycle_config'].read_text() == CFG.dump_to_yaml()
+    assert len(CFG['parameter_sets']) > 0