diff --git a/.coveralls.yml b/.coveralls.yml
deleted file mode 100644
index 06e982e..0000000
--- a/.coveralls.yml
+++ /dev/null
@@ -1,2 +0,0 @@
-repo_token: hxJrvjqiH2xBI7eit7BAb7FidH0LeYpGq
-service_name: github-action
diff --git a/.github/workflows/ubuntu.yml b/.github/workflows/ubuntu.yml
index 7d5f4df..13fd038 100644
--- a/.github/workflows/ubuntu.yml
+++ b/.github/workflows/ubuntu.yml
@@ -29,7 +29,7 @@ jobs:
             python -m pip install --upgrade pip
             pip install --no-cache-dir Cython
             pip install --find-links=https://girder.github.io/large_image_wheels --no-cache GDAL
-            
+
       - name: Test GDAL installation
         run: |
             python -c "from osgeo import gdal"
@@ -41,8 +41,12 @@ jobs:
             python setup.py install
 
       - name: Generate coverage report
+        env:
+            ECMWF_API_URL: ${{ secrets.ECMWF_API_URL }}
+            ECMWF_API_KEY: ${{ secrets.ECMWF_API_KEY }}
+            ECMWF_API_EMAIL: ${{ secrets.ECMWF_API_EMAIL }}
         run: |
           python -m pytest -vvv --cov=earth2observe --cov-report=xml
 
       - name: Upload coverage reports to Codecov with GitHub Action
-        uses: codecov/codecov-action@v3
\ No newline at end of file
+        uses: codecov/codecov-action@v3
diff --git a/.gitignore b/.gitignore
index af2d68c..60465f6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -150,3 +150,4 @@ conda/
 .idea/*
 examples/data/chirps/*
 *.xml
+tests/mo/*
\ No newline at end of file
diff --git a/HISTORY.rst b/HISTORY.rst
index 367a939..fc87258 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -18,3 +18,11 @@ History
 
 * fix pypi package names in the requirements.txt file
 * fix python version in requirement.txt
+
+0.2.0 (2023-01-15)
+------------------
+
+* bump up numpy and pyramids versions
+* create an abstract class for datasource and catalog as a bluebrint for all data sources
+* test all classes in CI
+* use pathlib to deal with paths
diff --git a/README.md b/README.md
index 9440c64..03e7a4f 100644
--- a/README.md
+++ b/README.md
@@ -5,6 +5,7 @@
 
 
 [![codecov](https://codecov.io/gh/Serapieum-of-alex/earth2observe/branch/main/graph/badge.svg?token=2nBcI5ijvB)](https://codecov.io/gh/Serapieum-of-alex/earth2observe)
+[![Codacy Badge](https://app.codacy.com/project/badge/Grade/4c95cf4c0dd044e4b451e08355fe6ee7)](https://www.codacy.com/gh/Serapieum-of-alex/earth2observe/dashboard?utm_source=github.com&utm_medium=referral&utm_content=Serapieum-of-alex/earth2observe&utm_campaign=Badge_Grade)
 ![GitHub last commit](https://img.shields.io/github/last-commit/MAfarrag/earthobserve)
 ![GitHub forks](https://img.shields.io/github/forks/MAfarrag/earthobserve?style=social)
 ![GitHub Repo stars](https://img.shields.io/github/stars/MAfarrag/earthobserve?style=social)
@@ -60,7 +61,7 @@ pip install git+https://github.com/MAfarrag/earthobserve
 ## pip
 to install the last release you can easly use pip
 ```
-pip install earthobserve==0.1.7
+pip install earthobserve==0.2.0
 ```
 
 Quick start
diff --git a/conda-lock.yml b/conda-lock.yml
index 2985414..8d01e6f 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,12 +15,12 @@ metadata:
   - url: conda-forge
     used_env_vars: []
   content_hash:
-    linux-64: 9471042de6d15f085b36252dd3ffd90c6c591b2cdf0ddbb84e90d9aec48f6385
-    osx-64: e1e606a34bbb0275838bc27ac329dd1e44cde2073097d8c7b0880cf6c298e06a
-    win-64: 43f5e8c4e79cd0ab062939291d1fe9e7b33a79028cb3cc5a093ceff22a5daba4
+    linux-64: 254a8ec847efd0a02a050ea9fc62f1a75932bb3645fa638fc79971d4b8f35430
+    osx-64: d8e507a190f5b7c996b48cd0a82bc6c4ed5fed5a8279ee8d4157cb3c39be60c3
+    win-64: cc58bac7c0731eff5cf8ea05e67e60e4ddf69f70dfdf9d0080a8a7faa1a4d316
   platforms:
-  - osx-64
   - linux-64
+  - osx-64
   - win-64
   sources:
   - C:\gdrive\01Algorithms\Hydrology\earth2observe\environment.yml
@@ -138,14 +138,14 @@ package:
 - category: main
   dependencies: {}
   hash:
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-    sha256: 2966a87dcb0b11fad28f9fe8216bfa4071115776b47ffc7547492fed176e1a1f
+    md5: 4eb33d14d794b0f4be116443ffed3853
+    sha256: bcb15db27eb6fbc0fe15d23aa60dcfa58ef451d92771441068d4a911aea7bb9f
   manager: conda
   name: python_abi
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda
-  version: '3.11'
+  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-3_cp310.conda
+  version: '3.10'
 - category: main
   dependencies: {}
   hash:
@@ -481,6 +481,18 @@ package:
   platform: linux-64
   url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-h166bdaf_0.tar.bz2
   version: '1.17'
+- category: main
+  dependencies:
+    libgcc-ng: '>=12'
+  hash:
+    md5: b4f717df2d377410b462328bf0e8fb7d
+    sha256: 0d8b666ca4deabf948a76654df0fa1277145bed1c9e8a58e18a649c22c5f1c3e
+  manager: conda
+  name: libjpeg-turbo
+  optional: false
+  platform: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-2.1.4-h166bdaf_0.tar.bz2
+  version: 2.1.4
 - category: main
   dependencies:
     libgcc-ng: '>=9.4.0'
@@ -766,6 +778,18 @@ package:
   platform: linux-64
   url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
   version: 5.2.6
+- category: main
+  dependencies:
+    libgcc-ng: '>=9.4.0'
+  hash:
+    md5: 4cb3ad778ec2d5a7acbdf254eb1c42ae
+    sha256: a4e34c710eeb26945bdbdaba82d3d74f60a78f54a874ec10d373811a5d217535
+  manager: conda
+  name: yaml
+  optional: false
+  platform: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
+  version: 0.2.5
 - category: main
   dependencies:
     libopenblas: '>=0.3.21,<1.0a0'
@@ -823,17 +847,17 @@ package:
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     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.12,<1.3.0a0'
-    openssl: '>=3.0.5,<4.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.0.7,<4.0a0'
   hash:
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-    sha256: 66988eb178d6ffbad3de5e391dad49aaa298e1309ac197ab40996eac740fbfff
+    md5: dd682f0b6d65e75b2bc868fc8e93d87e
+    sha256: acb80dfd0b7be38c47101df812fc903374c8408daec127edb6f11a648a67c243
   manager: conda
   name: libnghttp2
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.47.0-hff17c54_1.tar.bz2
-  version: 1.47.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.51.0-hff17c54_0.conda
+  version: 1.51.0
 - category: main
   dependencies:
     libgcc-ng: '>=12'
@@ -1198,14 +1222,14 @@ package:
     xz: '>=5.2.6,<6.0a0'
     zstd: '>=1.5.2,<1.6.0a0'
   hash:
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-    sha256: f81d38e7458c6ba2fcf93bef4ed2c12c2977e89ca9a7f936ce53a3338a88352f
+    md5: a01611c54334d783847879ee40109657
+    sha256: 7237772229da1058fae73ae6f04ad846551a44d7da602e9d328b81049d3219a2
   manager: conda
   name: libtiff
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.4.0-h82bc61c_5.conda
-  version: 4.4.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.5.0-h82bc61c_0.conda
+  version: 4.5.0
 - category: main
   dependencies:
     libgcc-ng: '>=12'
@@ -1226,27 +1250,27 @@ package:
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
     ld_impl_linux-64: '>=2.36.1'
-    libffi: '>=3.4.2,<3.5.0a0'
+    libffi: '>=3.4,<4.0a0'
     libgcc-ng: '>=12'
     libnsl: '>=2.0.0,<2.1.0a0'
-    libsqlite: '>=3.39.4,<4.0a0'
+    libsqlite: '>=3.40.0,<4.0a0'
     libuuid: '>=2.32.1,<3.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
     ncurses: '>=6.3,<7.0a0'
-    openssl: '>=3.0.5,<4.0a0'
+    openssl: '>=3.0.7,<4.0a0'
     readline: '>=8.1.2,<9.0a0'
     tk: '>=8.6.12,<8.7.0a0'
     tzdata: ''
-    xz: '>=5.2.6,<5.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
   hash:
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-    sha256: 60cd4d442f851efd46640f7c212110721921f0ee9c664ea0d1c339567a82d7a3
+    md5: be2a6d78752c2ab85f360ce37d2c64e2
+    sha256: 79cc250d8f85da29c7a06116a51db4c9efbd46f62f21daef6cf10e8bccdc0523
   manager: conda
   name: python
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.11.0-ha86cf86_0_cpython.tar.bz2
-  version: 3.11.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.8-h4a9ceb5_0_cpython.conda
+  version: 3.10.8
 - category: main
   dependencies:
     libgcc-ng: '>=12'
@@ -1290,6 +1314,18 @@ package:
   platform: linux-64
   url: https://conda.anaconda.org/conda-forge/noarch/affine-2.3.1-pyhd8ed1ab_0.tar.bz2
   version: 2.3.1
+- category: main
+  dependencies:
+    python: ''
+  hash:
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+    sha256: ae9fb8f68281f84482f2c234379aa12405a9e365151d43af20b3ae1f17312111
+  manager: conda
+  name: appdirs
+  optional: false
+  platform: linux-64
+  url: https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyh9f0ad1d_0.tar.bz2
+  version: 1.4.4
 - category: main
   dependencies:
     python: '>=3.5'
@@ -1420,29 +1456,29 @@ package:
 - category: main
   dependencies:
     libgcc-ng: '>=12'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
   hash:
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-    sha256: 2a34843d55d4a10dd9028a8e8f4d4b644cf8e1367060bf0897c6ae4b961f568b
+    md5: 25e1626333f9a0646579a162e7b174ee
+    sha256: 1a213bfa274e847d08cf0d8b068dc94be002c9f17acd040b5c9f2ead80c3c7c0
   manager: conda
   name: frozenlist
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.3.3-py311hd4cff14_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.3.3-py310h5764c6d_0.tar.bz2
   version: 1.3.3
 - category: main
   dependencies:
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   hash:
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+    md5: fec8329fc739090f26a7d7803db254f1
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   manager: conda
   name: future
   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/noarch/future-0.18.2-pyhd8ed1ab_6.tar.bz2
-  version: 0.18.2
+  url: https://conda.anaconda.org/conda-forge/noarch/future-0.18.3-pyhd8ed1ab_0.conda
+  version: 0.18.3
 - category: main
   dependencies:
     python: '>=3.6'
@@ -1469,44 +1505,44 @@ package:
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 - category: main
   dependencies:
-    python: ''
+    python: '>=3.7'
   hash:
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   manager: conda
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   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/noarch/iniconfig-1.1.1-pyh9f0ad1d_0.tar.bz2
-  version: 1.1.1
+  url: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
+  version: 2.0.0
 - category: main
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    python: '>=3.10,<3.11.0a0'
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   platform: linux-64
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+  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py310hbf28c38_1.tar.bz2
   version: 1.4.4
 - category: main
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     libgcc-ng: '>=12'
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   optional: false
   platform: linux-64
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+  url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.14-hfd0df8a_1.conda
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 - category: main
   dependencies:
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   optional: false
   platform: linux-64
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libpq-15.1-hb675445_3.conda
   version: '15.1'
 - category: main
   dependencies:
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    python: '>=3.10,<3.11.0a0'
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   optional: false
   platform: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/loguru-0.6.0-py311h38be061_2.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/linux-64/loguru-0.6.0-py310hff52083_2.tar.bz2
   version: 0.6.0
 - category: main
   dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py310h5764c6d_2.tar.bz2
   version: 2.1.1
 - category: main
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   optional: false
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-  url: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.0.2-py311hd4cff14_2.tar.bz2
-  version: 6.0.2
+  url: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.0.4-py310h1fa729e_0.conda
+  version: 6.0.4
 - category: main
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-    sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a
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   optional: false
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-  url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2
-  version: 2.8.8
+  url: https://conda.anaconda.org/conda-forge/noarch/networkx-3.0-pyhd8ed1ab_0.conda
+  version: '3.0'
 - category: main
   dependencies:
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@@ -1629,45 +1665,58 @@ package:
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-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    numpy: '>=1.21.6,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
     ucrt: '>=10.0.20348.0'
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: 1446a03ee7e308ba21d165c5fca501fb
-    sha256: 894be16082d5de289c2a7fffc46fbfc305f7f40644785685137e31a6ddd8ee71
+    md5: 76b4d1b25e5ba9d036700b6a0da8cdbc
+    sha256: f0ab8fde6ab31ea1d53a06287f1402264dce683a934ccf170fdd67683f8308bb
   manager: conda
   name: shapely
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/shapely-1.8.5-py311habfe8a2_2.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/win-64/shapely-1.8.5-py310h8c82734_2.tar.bz2
   version: 1.8.5
 - category: main
   dependencies:
@@ -8846,9 +9110,9 @@ package:
     gdal: ''
     libgdal: '>=3.6.0,<3.7.0a0'
     munch: ''
-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    numpy: '>=1.21.6,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
     setuptools: ''
     shapely: ''
     six: '>=1.7'
@@ -8856,13 +9120,13 @@ package:
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: c725455aa4f5ca54ebf17b7d120c76c5
-    sha256: fe8d87cacbf2f83ec8953e5f4d8bd01655b6389be4ab8c63560677c5a4b798db
+    md5: 154fbd5cb756b259346cb860ec67f211
+    sha256: f5a0d4733db5d20ad841b85e6ce086729a27f923438cecb1bb7575d5a6899e04
   manager: conda
   name: fiona
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py311ha4db88c_5.conda
+  url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py310h4a685fe_5.conda
   version: 1.8.22
 - category: main
   dependencies:
@@ -8919,24 +9183,24 @@ package:
     fonttools: '>=4.22.0'
     freetype: '>=2.12.1,<3.0a0'
     kiwisolver: '>=1.0.1'
-    numpy: '>=1.23.4,<2.0a0'
+    numpy: '>=1.21.6,<2.0a0'
     packaging: '>=20.0'
     pillow: '>=6.2.0'
     pyparsing: '>=2.3.1'
-    python: '>=3.11,<3.12.0a0'
+    python: '>=3.10,<3.11.0a0'
     python-dateutil: '>=2.7'
-    python_abi: 3.11.* *_cp311
+    python_abi: 3.10.* *_cp310
     ucrt: '>=10.0.20348.0'
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: 01e95ec628fd823e3baab49fc27cdc21
-    sha256: 1596cb8cb84643bbe0c126e522c5f14939c44f7f716b706edfd50b61a9eecb11
+    md5: 51a43b04e415da8dd0850c2ded044c6e
+    sha256: f1ef00bb3af1777bb16ccbab290f2b3e5e9abd5885bfdc619a213499399b9f65
   manager: conda
   name: matplotlib-base
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.2-py311h6e989c2_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.2-py310h51140c5_0.tar.bz2
   version: 3.6.2
 - category: main
   dependencies:
@@ -8944,21 +9208,21 @@ package:
     hdf5: '>=1.12.2,<1.12.3.0a0'
     libnetcdf: '>=4.8.1,<4.8.2.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-    numpy: '>=1.23.4,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    numpy: '>=1.21.6,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
     setuptools: ''
     ucrt: '>=10.0.20348.0'
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: 34f677e6c466107dd9dbe3bbeca26789
-    sha256: 5a3089b52628364d3e816263a4195cee99784925f02c40b61d11e5597fc30a6e
+    md5: 71f0444f4abebfd46c5a4a8f39c6a90c
+    sha256: db08130c28445b69e09da8202483389d2ce698b4ae97eea0cbae0fc9710605f8
   manager: conda
   name: netcdf4
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/netcdf4-1.6.2-nompi_py311h45b207f_100.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/win-64/netcdf4-1.6.2-nompi_py310h459bb5f_100.tar.bz2
   version: 1.6.2
 - category: main
   dependencies:
@@ -8969,45 +9233,46 @@ package:
     click-plugins: ''
     cligj: '>=0.5'
     libgdal: '>=3.6.0,<3.7.0a0'
-    numpy: '>=1.23.4,<2.0a0'
+    numpy: '>=1.21.6,<2.0a0'
     proj: '>=9.1.0,<9.1.1.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
     setuptools: '>=0.9.8'
     snuggs: '>=1.4.1'
     ucrt: '>=10.0.20348.0'
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: 3c55605a40639983ea16d70df40390c1
-    sha256: fe4416774b30430db37f367dd180844f1c314e996dcb90c958ec55a420df1d3c
+    md5: 18159e9495e5a1b79612d3ac6d8c7abb
+    sha256: 980591cfde14a92e33eb75d86d8d2c5f28193245e87afd1c781f60202f1de946
   manager: conda
   name: rasterio
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.3.4-py311hd28ea1e_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.3.4-py310h1f46e14_0.tar.bz2
   version: 1.3.4
 - category: main
   dependencies:
-    joblib: '>=1.1.1'
+    libblas: '>=3.9.0,<4.0a0'
     libcblas: '>=3.9.0,<4.0a0'
-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.* *_cp311
-    scipy: ''
-    threadpoolctl: '>=2.0.0'
+    liblapack: '>=3.9.0,<4.0a0'
+    m2w64-gcc-libs: ''
+    numpy: '>=1.21.6,<2.0a0'
+    pooch: ''
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
     ucrt: '>=10.0.20348.0'
     vc: '>=14.2,<15'
     vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: f8c5ee2304960728676b188473b067a4
-    sha256: dd7678e1a50e5cc8a196192c739fc6c7527ad14eb76ab2e12605e5b26dd8f320
+    md5: 87356a414020b1b468bb808d62c183c3
+    sha256: f5e8f9f71dae19d89759814bdd5511a296854e68276dcd1ae3a2500d7c4f1890
   manager: conda
-  name: scikit-learn
+  name: scipy
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.2.0-py311h6619ee7_0.conda
-  version: 1.2.0
+  url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.10.0-py310h578b7cb_0.conda
+  version: 1.10.0
 - category: main
   dependencies:
     google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
@@ -9017,14 +9282,14 @@ package:
     python: '>=3.7'
     uritemplate: '>=3.0.1,<5'
   hash:
-    md5: 04241ec803212136585c4e7738de8543
-    sha256: 59d5c1e9afce9be9042900e10ffa804bbe68fb1331fed2ace5d15ce461f83b87
+    md5: d25bf20710e2622edfd16f1580d6f406
+    sha256: 9c2b34998b23486e9c9f8e35e18735247ca7b07f3b09e29a369b4ea8a658c807
   manager: conda
   name: google-api-python-client
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/noarch/google-api-python-client-2.70.0-pyhd8ed1ab_0.conda
-  version: 2.70.0
+  url: https://conda.anaconda.org/conda-forge/noarch/google-api-python-client-2.72.0-pyhd8ed1ab_0.conda
+  version: 2.72.0
 - category: main
   dependencies:
     google-api-core: '>=1.31.6,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
@@ -9042,40 +9307,25 @@ package:
   version: 2.3.2
 - category: main
   dependencies:
-    networkx: ''
-    numpy: '>=1.3'
-    pandas: '>=1.0'
-    python: '>=3.5'
-    scikit-learn: ''
-    scipy: '>=1.0'
-  hash:
-    md5: 908bbfb54da154042c5cbda77b37a3d1
-    sha256: 1435305fb0a127b3154e76c0836d44526eeb93e80bd37596128d7ad8fb196d97
-  manager: conda
-  name: mapclassify
-  optional: false
-  platform: win-64
-  url: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.4.3-pyhd8ed1ab_0.tar.bz2
-  version: 2.4.3
-- category: main
-  dependencies:
-    fiona: ''
-    folium: ''
-    geopandas-base: 0.12.2 pyha770c72_0
-    mapclassify: '>=2.4.0'
-    matplotlib-base: ''
-    python: '>=3.8'
-    rtree: ''
-    xyzservices: ''
+    joblib: '>=1.1.1'
+    libcblas: '>=3.9.0,<4.0a0'
+    numpy: '>=1.21.6,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.* *_cp310
+    scipy: ''
+    threadpoolctl: '>=2.0.0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vs2015_runtime: '>=14.29.30139'
   hash:
-    md5: ee3b330f13297f5839d46e1ca3e57d56
-    sha256: 51660094efee2a74b24ab535e03005a6ddedc9e160c0d573cfaf2724312d171c
+    md5: f5433a3e1971e7565a4a9bd00d1df2eb
+    sha256: da4c825912e4c388268611df0f3f99fae86e443bdbf17214fa2af1d9ef4bc80e
   manager: conda
-  name: geopandas
+  name: scikit-learn
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/noarch/geopandas-0.12.2-pyhd8ed1ab_0.conda
-  version: 0.12.2
+  url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.2.0-py310had3394f_0.conda
+  version: 1.2.0
 - category: main
   dependencies:
     google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
@@ -9094,6 +9344,23 @@ package:
   platform: win-64
   url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.7.0-pyh1a96a4e_0.conda
   version: 2.7.0
+- category: main
+  dependencies:
+    networkx: ''
+    numpy: '>=1.3'
+    pandas: '>=1.0'
+    python: '>=3.5'
+    scikit-learn: ''
+    scipy: '>=1.0'
+  hash:
+    md5: 2b0aace000c60c7a6de29907e3df4c6e
+    sha256: 76db2b87e74d94ff0ab64e9d5809d853f5f2735ee205e135b982a93bed72978d
+  manager: conda
+  name: mapclassify
+  optional: false
+  platform: win-64
+  url: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.5.0-pyhd8ed1ab_0.conda
+  version: 2.5.0
 - category: main
   dependencies:
     future: ''
@@ -9115,6 +9382,25 @@ package:
   platform: win-64
   url: https://conda.anaconda.org/conda-forge/noarch/earthengine-api-0.1.334-pyhd8ed1ab_1.conda
   version: 0.1.334
+- category: main
+  dependencies:
+    fiona: ''
+    folium: ''
+    geopandas-base: 0.12.2 pyha770c72_0
+    mapclassify: '>=2.4.0'
+    matplotlib-base: ''
+    python: '>=3.8'
+    rtree: ''
+    xyzservices: ''
+  hash:
+    md5: ee3b330f13297f5839d46e1ca3e57d56
+    sha256: 51660094efee2a74b24ab535e03005a6ddedc9e160c0d573cfaf2724312d171c
+  manager: conda
+  name: geopandas
+  optional: false
+  platform: win-64
+  url: https://conda.anaconda.org/conda-forge/noarch/geopandas-0.12.2-pyhd8ed1ab_0.conda
+  version: 0.12.2
 - category: main
   dependencies:
     affine: '>=2.3.1'
@@ -9123,24 +9409,22 @@ package:
     geopy: '>=2.2.0'
     loguru: '>=0.6.0'
     netcdf4: '>=1.6.1'
-    numpy: 1.23.5
+    numpy: 1.24.1
     pandas: '>=1.4.4'
     pip: '>=22.3.1'
     pyproj: '>=3.4.0'
-    pytest: '>=7.2.0'
-    pytest-cov: 4.0.0
-    python: '>=3.9,<3.15'
+    python: '>=3.9,<3.11'
     rasterio: '>=1.3.0'
     requests: '>=2.28.1'
     rtree: '>=1.0.0'
     shapely: '>=1.8.4,<2'
   hash:
-    md5: 668898d4e01567089bdfd74242b43dc5
-    sha256: 58f56ebc6bbc4af8ca5c8a02aad3bf976c116a2ec0460fb3642c4d5a8670216b
+    md5: fd315a429db61ecd8ac4ba1890bf5382
+    sha256: 06d6813e56b80e1b4306c33fc252dcecd4c4647e704b4f7dc0d7a2c300fa7f1a
   manager: conda
   name: pyramids
   optional: false
   platform: win-64
-  url: https://conda.anaconda.org/conda-forge/noarch/pyramids-0.2.10-pyhd8ed1ab_0.conda
-  version: 0.2.10
+  url: https://conda.anaconda.org/conda-forge/noarch/pyramids-0.2.12-pyhd8ed1ab_0.conda
+  version: 0.2.12
 version: 1
diff --git a/earth2observe/abstractdatasource.py b/earth2observe/abstractdatasource.py
new file mode 100644
index 0000000..f28ebea
--- /dev/null
+++ b/earth2observe/abstractdatasource.py
@@ -0,0 +1,95 @@
+from abc import ABC, abstractmethod
+from typing import Dict
+
+
+class AbstractDataSource(ABC):
+    """Bluebrint for all class for different datasources."""
+
+    def __init__(
+        self,
+        start: str = None,
+        end: str = None,
+        variables: list = None,
+        temporal_resolution: str = "daily",
+        lat_lim: list = None,
+        lon_lim: list = None,
+        fmt: str = "%Y-%m-%d",
+        # path: str = "",
+    ):
+        """
+
+        Parameters
+        ----------
+        temporal_resolution (str, optional):
+            [description]. Defaults to 'daily'.
+        start (str, optional):
+            [description]. Defaults to ''.
+        end (str, optional):
+            [description]. Defaults to ''.
+        path (str, optional):
+            Path where you want to save the downloaded data. Defaults to ''.
+        variables (list, optional):
+            Variable code: VariablesInfo('day').descriptions.keys(). Defaults to [].
+        lat_lim (list, optional):
+            [ymin, ymax]. Defaults to None.
+        lon_lim (list, optional):
+            [xmin, xmax]. Defaults to None.
+        fmt (str, optional):
+            [description]. Defaults to "%Y-%m-%d".
+        """
+        # initialize connection with ecmwf server
+        self.initialize()
+        self.temporal_resolution = temporal_resolution
+        # TODO: create a function to check if the given variable exists in the catalog
+        self.vars = variables
+
+        self.create_grid(lat_lim, lon_lim)
+        self.check_input_dates(start, end, temporal_resolution, fmt)
+        pass
+
+    @abstractmethod
+    def check_input_dates(self):
+        """Check validity of input dates."""
+        pass
+
+    @abstractmethod
+    def initialize(self):
+        """Initialize connection with the data source server (for non ftp servers)"""
+        pass
+
+    @abstractmethod
+    def create_grid(self):
+        """create a grid from the lat/lon boundaries."""
+        pass
+
+    @abstractmethod
+    def download(self):
+        """Wrapper over all the given variables."""
+        # loop over dates if the downloaded rasters/netcdf are for a specific date out of the required
+        # list of dates
+        pass
+
+    # @abstractmethod
+    def downloadDataset(self):
+        """Download single variable/dataset."""
+        # used for non ftp servers
+        pass
+
+    @abstractmethod
+    def API(self):
+        """send/recieve request to the dataset server."""
+        pass
+
+
+class AbstractCatalog(ABC):
+    """abstrach class for the datasource catalog."""
+
+    @abstractmethod
+    def get_catalog(self):
+        """read the catalog of the datasource from disk or retrieve it from server."""
+        pass
+
+    @abstractmethod
+    def get_variable(self, var_name) -> Dict[str, str]:
+        """get the details of a specific variable."""
+        pass
diff --git a/earth2observe/chirps.py b/earth2observe/chirps.py
index 3f6cd7e..29b554e 100644
--- a/earth2observe/chirps.py
+++ b/earth2observe/chirps.py
@@ -1,34 +1,47 @@
 import datetime as dt
 import os
 from ftplib import FTP
+from pathlib import Path
 
 import numpy as np
 import pandas as pd
 from joblib import Parallel, delayed
 from osgeo import gdal
 from pyramids.raster import Raster
+from pyramids.utils import extractFromGZ
 
-from earth2observe.utils import extractFromGZ, print_progress_bar
+from earth2observe.abstractdatasource import AbstractCatalog, AbstractDataSource
+from earth2observe.utils import print_progress_bar
 
 
-class CHIRPS:
+class CHIRPS(AbstractDataSource):
     """CHIRPS."""
 
+    api_url: str = "data.chc.ucsb.edu"
+    start_date: str = "1981-01-01"
+    end_date: str = "Now"
+    temporal_resolution = ["daily", "monthly"]
+    lat_bondaries = [-50, 50]
+    lon_boundaries = [-180, 180]
+    globe_fname = "chirps-v2.0"
+    clipped_fname = "P_CHIRPS.v2.0"
+
     def __init__(
         self,
-        start: str = "",
-        end: str = "",
-        lat_lim: list = [],
-        lon_lim: list = [],
-        time: str = "daily",
+        temporal_resolution: str = "daily",
+        start: str = None,
+        end: str = None,
         path: str = "",
+        variables: list = None,
+        lat_lim: list = None,
+        lon_lim: list = None,
         fmt: str = "%Y-%m-%d",
     ):
         """CHIRPS.
 
         Parameters
         ----------
-        time (str, optional):
+        temporal_resolution (str, optional):
             'daily' or 'monthly'. Defaults to 'daily'.
         start (str, optional):
             [description]. Defaults to ''.
@@ -45,56 +58,105 @@ def __init__(
         fmt (str, optional):
             [description]. Defaults to "%Y-%m-%d".
         """
-        # Define timestep for the timedates
-        self.lat_lim = []
-        self.lon_lim = []
-        if time.lower() == "daily":
-            self.time_freq = "D"
-            self.output_folder = os.path.join(path, "Precipitation", "CHIRPS", "Daily")
-        elif time.lower() == "monthly":
-            self.time_freq = "MS"
-            self.output_folder = os.path.join(
-                path, "Precipitation", "CHIRPS", "Monthly"
-            )
-        else:
-            raise KeyError("The input time interval is not supported")
-        self.time = time
+        super().__init__(
+            start=start,
+            end=end,
+            variables=variables,
+            temporal_resolution=temporal_resolution,
+            lat_lim=lat_lim,
+            lon_lim=lon_lim,
+            fmt=fmt,
+        )
+        self.output_folder = os.path.join(
+            Path(path).absolute(), "chirps", "precipitation"
+        )
 
         # make directory if it not exists
         if not os.path.exists(self.output_folder):
             os.makedirs(self.output_folder)
 
-        # check time variables
-        if start == "":
-            self.start = pd.Timestamp("1981-01-01")
+    def check_input_dates(
+        self, start: str, end: str, temporal_resolution: str, fmt: str
+    ):
+        """check validity of input dates.
+
+        Parameters
+        ----------
+        temporal_resolution: (str, optional)
+            [description]. Defaults to 'daily'.
+        start: (str, optional)
+            [description]. Defaults to ''.
+        end: (str, optional)
+            [description]. Defaults to ''.
+        fmt: (str, optional)
+            [description]. Defaults to "%Y-%m-%d".
+        """
+        # check temporal_resolution variables
+        if start is None:
+            self.start = pd.Timestamp(self.start_date)
         else:
             self.start = dt.datetime.strptime(start, fmt)
 
-        if end == "":
-            self.end = pd.Timestamp("Now")
+        if end is None:
+            self.end = pd.Timestamp(self.end_date)
         else:
             self.end = dt.datetime.strptime(end, fmt)
+
+        # Define timestep for the timedates
+        if temporal_resolution.lower() == "daily":
+            self.time_freq = "D"
+            # self.output_folder = os.path.join(path, "precipitation", "chirps", "daily")
+        elif temporal_resolution.lower() == "monthly":
+            self.time_freq = "MS"
+            # self.output_folder = os.path.join(
+            #     path, "Precipitation", "CHIRPS", "Monthly"
+            # )
+        else:
+            raise KeyError("The input temporal_resolution interval is not supported")
+
         # Create days
-        self.Dates = pd.date_range(self.start, self.end, freq=self.time_freq)
+        self.dates = pd.date_range(self.start, self.end, freq=self.time_freq)
+
+    def initialize(self):
+        """Initialize FTP server."""
+        print("FTP server datasources does not need server initialization")
+        pass
+
+    def create_grid(self, lat_lim: list, lon_lim: list):
+        """Create_grid.
 
+            create grid from the lat/lon boundaries
+
+        Parameters
+        ----------
+        lat_lim: []
+            latitude boundaries
+        lon_lim: []
+            longitude boundaries
+        """
+        self.lat_lim = []
+        self.lon_lim = []
         # Check space variables
-        if lat_lim[0] < -50 or lat_lim[1] > 50:
+        # -50 , 50
+        if lat_lim[0] < self.lat_bondaries[0] or lat_lim[1] > self.lat_bondaries[1]:
             print(
                 "Latitude above 50N or below 50S is not possible."
                 " Value set to maximum"
             )
-            self.lat_lim[0] = np.max(lat_lim[0], -50)
-            self.lat_lim[1] = np.min(lon_lim[1], 50)
-        if lon_lim[0] < -180 or lon_lim[1] > 180:
+            self.lat_lim[0] = np.max(lat_lim[0], self.lat_bondaries[0])
+            self.lat_lim[1] = np.min(lon_lim[1], self.lat_bondaries[1])
+        # -180, 180
+        if lon_lim[0] < self.lon_boundaries[0] or lon_lim[1] > self.lon_boundaries[1]:
             print(
                 "Longitude must be between 180E and 180W."
                 " Now value is set to maximum"
             )
-            self.lon_lim[0] = np.max(lat_lim[0], -180)
-            self.lon_lim[1] = np.min(lon_lim[1], 180)
+            self.lon_lim[0] = np.max(lat_lim[0], self.lon_boundaries[0])
+            self.lon_lim[1] = np.min(lon_lim[1], self.lon_boundaries[1])
         else:
             self.lat_lim = lat_lim
             self.lon_lim = lon_lim
+
         # Define IDs
         self.yID = 2000 - np.int16(
             np.array(
@@ -107,10 +169,10 @@ def __init__(
             )
         )
 
-    def Download(self, progress_bar: bool = True, cores=None):
+    def download(self, progress_bar: bool = True, cores=None, *args, **kwargs):
         """Download.
 
-        Download method downloads CHIRPS data
+            downloads CHIRPS data
 
         Parameters
         ----------
@@ -128,7 +190,7 @@ def Download(self, progress_bar: bool = True, cores=None):
         # Pass variables to parallel function and run
         args = [
             self.output_folder,
-            self.time,
+            self.temporal_resolution,
             self.xID,
             self.yID,
             self.lon_lim,
@@ -138,7 +200,7 @@ def Download(self, progress_bar: bool = True, cores=None):
         if not cores:
             # Create Waitbar
             if progress_bar:
-                total_amount = len(self.Dates)
+                total_amount = len(self.dates)
                 amount = 0
                 print_progress_bar(
                     amount,
@@ -148,8 +210,9 @@ def Download(self, progress_bar: bool = True, cores=None):
                     length=50,
                 )
 
-            for Date in self.Dates:
-                CHIRPS.RetrieveData(Date, args)
+            for date in self.dates:
+                self.API(date, args)
+
                 if progress_bar:
                     amount = amount + 1
                     print_progress_bar(
@@ -162,101 +225,126 @@ def Download(self, progress_bar: bool = True, cores=None):
             results = True
         else:
             results = Parallel(n_jobs=cores)(
-                delayed(CHIRPS.RetrieveData)(Date, args) for Date in self.Dates
+                delayed(self.API)(date, args) for date in self.dates
             )
         return results
 
-    @staticmethod
-    def RetrieveData(Date, args):
-        """RetrieveData.
-
-        RetrieveData method retrieves CHIRPS data for a given date from the
-        https://data.chc.ucsb.edu/
+    def API(self, date, args):
+        """form the request url abd trigger the request.
 
         Parameters
         ----------
-        Date : TYPE
-            DESCRIPTION.
-        args : TYPE
-            A list of parameters defined in the DownloadData function.
+        date:
 
-        Raises
-        ------
-        KeyError
-            DESCRIPTION.
-
-        Returns
-        -------
-        bool
-            DESCRIPTION.
+        args: [list]
         """
-        # Argument
-        [output_folder, TimeCase, xID, yID, lon_lim, latlim] = args
-
-        # open ftp server
-        # ftp = FTP("chg-ftpout.geog.ucsb.edu", "", "")
-        ftp = FTP("data.chc.ucsb.edu")
-        ftp.login()
+        [output_folder, temp_resolution, xID, yID, lon_lim, latlim] = args
 
         # Define FTP path to directory
-        if TimeCase.lower() == "daily":
-            pathFTP = (
-                "pub/org/chg/products/CHIRPS-2.0/global_daily/tifs/p05/%s/"
-                % Date.strftime("%Y")
-            )
-        elif TimeCase == "monthly":
+        if temp_resolution.lower() == "daily":
+            pathFTP = f"pub/org/chg/products/CHIRPS-2.0/global_daily/tifs/p05/{date.strftime('%Y')}/"
+        elif temp_resolution == "monthly":
             pathFTP = "pub/org/chg/products/CHIRPS-2.0/global_monthly/tifs/"
         else:
-            raise KeyError("The input time interval is not supported")
-
-        # find the document name in this directory
-        ftp.cwd(pathFTP)
-        listing = []
-
-        # read all the file names in the directory
-        ftp.retrlines("LIST", listing.append)
+            raise KeyError("The input temporal_resolution interval is not supported")
 
         # create all the input name (filename) and output (outfilename, filetif, DiFileEnd) names
-        if TimeCase.lower() == "daily":
-            filename = "chirps-v2.0.%s.%02s.%02s.tif.gz" % (
-                Date.strftime("%Y"),
-                Date.strftime("%m"),
-                Date.strftime("%d"),
-            )
+        if temp_resolution.lower() == "daily":
+            filename = f"{self.globe_fname}.{date.strftime('%Y')}.{date.strftime('%m')}.{date.strftime('%d')}.tif.gz"
             outfilename = os.path.join(
                 output_folder,
-                "chirps-v2.0.%s.%02s.%02s.tif"
-                % (Date.strftime("%Y"), Date.strftime("%m"), Date.strftime("%d")),
+                f"{self.globe_fname}.{date.strftime('%Y')}.{date.strftime('%m')}.{date.strftime('%d')}.tif",
             )
             DirFileEnd = os.path.join(
                 output_folder,
-                "P_CHIRPS.v2.0_mm-day-1_daily_%s.%02s.%02s.tif"
-                % (Date.strftime("%Y"), Date.strftime("%m"), Date.strftime("%d")),
+                f"{self.clipped_fname}_mm-day-1_daily_{date.strftime('%Y')}.{date.strftime('%m')}.{date.strftime('%d')}.tif",
             )
-        elif TimeCase == "monthly":
-            filename = "chirps-v2.0.%s.%02s.tif.gz" % (
-                Date.strftime("%Y"),
-                Date.strftime("%m"),
+        elif temp_resolution == "monthly":
+            filename = (
+                f"{self.globe_fname}.{date.strftime('%Y')}.{date.strftime('%m')}.tif.gz"
             )
             outfilename = os.path.join(
                 output_folder,
-                "chirps-v2.0.%s.%02s.tif" % (Date.strftime("%Y"), Date.strftime("%m")),
+                f"{self.globe_fname}.{date.strftime('%Y')}.{date.strftime('%m')}.tif",
             )
             DirFileEnd = os.path.join(
                 output_folder,
-                "P_CHIRPS.v2.0_mm-month-1_monthly_%s.%02s.%02s.tif"
-                % (Date.strftime("%Y"), Date.strftime("%m"), Date.strftime("%d")),
+                f"{self.clipped_fname}_mm-month-1_monthly_{date.strftime('%Y')}.{date.strftime('%m')}.{date.strftime('%d')}.tif",
             )
         else:
-            raise KeyError("The input time interval is not supported")
+            raise KeyError("The input temporal_resolution interval is not supported")
+
+        self.callAPI(pathFTP, output_folder, filename)
+        self.post_download(
+            output_folder, filename, lon_lim, latlim, xID, yID, outfilename, DirFileEnd
+        )
+
+    @staticmethod
+    def callAPI(pathFTP: str, output_folder: str, filename: str):
+        """send the request to the server.
+
+        RetrieveData method retrieves CHIRPS data for a given date from the
+        https://data.chc.ucsb.edu/
+
+        Parameters
+        ----------
+        filename
+        output_folder
+        pathFTP
+
+
+        Raises
+        ------
+        KeyError
+            DESCRIPTION.
+
+        Returns
+        -------
+        bool
+            DESCRIPTION.
+        """
+        ftp = FTP(CHIRPS.api_url)
+        ftp.login()
+        # find the document name in this directory
+        ftp.cwd(pathFTP)
+        listing = []
+
+        # read all the file names in the directory
+        ftp.retrlines("LIST", listing.append)
 
         # download the global rainfall file
-        try:
-            local_filename = os.path.join(output_folder, filename)
-            lf = open(local_filename, "wb")
-            ftp.retrbinary("RETR " + filename, lf.write, 8192)
-            lf.close()
+        local_filename = os.path.join(output_folder, filename)
+        lf = open(local_filename, "wb")
+        ftp.retrbinary("RETR " + filename, lf.write, 8192)
+        lf.close()
 
+    def post_download(
+        self,
+        output_folder,
+        filename,
+        lon_lim,
+        latlim,
+        xID,
+        yID,
+        outfilename,
+        DirFileEnd,
+    ):
+        """clip the downloaded data to the extent we want.
+
+        Parameters
+        ----------
+        output_folder: [str]
+            directory where files will be saved
+        filename: [str]
+            file name
+        lon_lim: [list]
+        latlim: [list]
+        xID: [list]
+        yID: [list]
+        outfilename: [str]
+        DirFileEnd: [str]
+        """
+        try:
             # unzip the file
             zip_filename = os.path.join(output_folder, filename)
             extractFromGZ(zip_filename, outfilename, delete=True)
@@ -289,7 +377,7 @@ def RetrieveData(Date, args):
             )
         return True
 
-    def ListAttributes(self):
+    def listAttributes(self):
         """Print Attributes List."""
 
         print("\n")
@@ -303,3 +391,26 @@ def ListAttributes(self):
                 print(str(key) + " : " + repr(self.__dict__[key]))
 
         print("\n")
+
+
+class Catalog(AbstractCatalog):
+    """CHIRPS data catalog."""
+
+    def __init__(self):
+        self.catalog = self.get_catalog()
+
+    def get_catalog(self):
+        """return the catalog."""
+        return {
+            "Precipitation": {
+                "descriptions": "rainfall [mm/temporal_resolution step]",
+                "units": "mm/temporal_resolution step",
+                "temporal resolution": ["daily", "monthly"],
+                "file name": "rainfall",
+                "var_name": "R",
+            }
+        }
+
+    def get_variable(self, var_name):
+        """get the details of a specific variable."""
+        return self.catalog.get(var_name)
diff --git a/earth2observe/earth2observe.py b/earth2observe/earth2observe.py
new file mode 100644
index 0000000..6ed6ab4
--- /dev/null
+++ b/earth2observe/earth2observe.py
@@ -0,0 +1,38 @@
+"""Front end module that runs each data source backend."""
+from earth2observe.chirps import CHIRPS
+from earth2observe.ecmwf import ECMWF
+
+
+class Earth2Observe:
+    """End user class to call all the data source classes abailable in earth2observe."""
+
+    DataSources = {"ecmwf": ECMWF, "chirps": CHIRPS}
+
+    def __init__(
+        self,
+        data_source: str = "chirps",
+        temporal_resolution: str = "daily",
+        start: str = None,
+        end: str = None,
+        path: str = "",
+        variables: list = None,
+        lat_lim: list = None,
+        lon_lim: list = None,
+        fmt: str = "%Y-%m-%d",
+    ):
+        if data_source not in self.DataSources:
+            raise ValueError(f"{data_source} not supported")
+
+        self.datasource = self.DataSources[data_source](
+            start=start,
+            end=end,
+            variables=variables,
+            lat_lim=lat_lim,
+            lon_lim=lon_lim,
+            temporal_resolution=temporal_resolution,
+            path=path,
+            fmt=fmt,
+        )
+
+    def download(self, progress_bar: bool = True, *args, **kwargs):
+        self.datasource.download(progress_bar=progress_bar, *args, **kwargs)
diff --git a/earth2observe/ecmwf.py b/earth2observe/ecmwf.py
index 3c9823a..8c2dce4 100644
--- a/earth2observe/ecmwf.py
+++ b/earth2observe/ecmwf.py
@@ -5,6 +5,8 @@
 import calendar
 import datetime as dt
 import os
+from pathlib import Path
+from typing import Dict
 
 import numpy as np
 import pandas as pd
@@ -15,37 +17,35 @@
 from pyramids.raster import Raster
 
 from earth2observe import __path__
+from earth2observe.abstractdatasource import AbstractCatalog, AbstractDataSource
 from earth2observe.utils import print_progress_bar
 
 
-class ECMWF:
+class ECMWF(AbstractDataSource):
     """RemoteSensing.
 
     RemoteSensing class contains methods to download ECMWF data
-
-    Methods:
-        1- main
-        2- DownloadData
-        3- API
-        4- ListAttributes
     """
 
+    temporal_resolution = ["daily", "monthly"]
+    spatial_resolution = 0.125
+
     def __init__(
         self,
-        time: str = "daily",
-        start: str = "",
-        end: str = "",
+        temporal_resolution: str = "daily",
+        start: str = None,
+        end: str = None,
         path: str = "",
-        variables: list = [],
-        lat_lim: list = [],
-        lon_lim: list = [],
+        variables: list = None,
+        lat_lim: list = None,
+        lon_lim: list = None,
         fmt: str = "%Y-%m-%d",
     ):
         """RemoteSensing.
 
         Parameters
         ----------
-        time (str, optional):
+        temporal_resolution (str, optional):
             [description]. Defaults to 'daily'.
         start (str, optional):
             [description]. Defaults to ''.
@@ -56,45 +56,96 @@ def __init__(
         variables (list, optional):
             Variable code: VariablesInfo('day').descriptions.keys(). Defaults to [].
         lat_lim (list, optional):
-            [ymin, ymax]. Defaults to [].
+            [ymin, ymax]. Defaults to None.
         lon_lim (list, optional):
-            [xmin, xmax]. Defaults to [].
+            [xmin, xmax]. Defaults to None.
         fmt (str, optional):
             [description]. Defaults to "%Y-%m-%d".
         """
+        super().__init__(
+            start=start,
+            end=end,
+            variables=variables,
+            temporal_resolution=temporal_resolution,
+            lat_lim=lat_lim,
+            lon_lim=lon_lim,
+            fmt=fmt,
+        )
+        self.path = Path(path).absolute()
+
+    def check_input_dates(
+        self, start: str, end: str, temporal_resolution: str, fmt: str
+    ):
+        """check validity of input dates.
+
+        Parameters
+        ----------
+        temporal_resolution: (str, optional)
+            [description]. Defaults to 'daily'.
+        start: (str, optional)
+            [description]. Defaults to ''.
+        end: (str, optional)
+            [description]. Defaults to ''.
+        fmt: (str, optional)
+            [description]. Defaults to "%Y-%m-%d".
+        """
         self.start = dt.datetime.strptime(start, fmt)
         self.end = dt.datetime.strptime(end, fmt)
 
-        if time == "six_hourly":
+        if temporal_resolution == "six_hourly":
             # Set required data for the three hourly option
             self.string1 = "oper"
         # Set required data for the daily option
-        elif time == "daily":
-            self.Dates = pd.date_range(self.start, self.end, freq="D")
-        elif time == "monthly":
-            self.Dates = pd.date_range(self.start, self.end, freq="MS")
+        elif temporal_resolution == "daily":
+            self.dates = pd.date_range(self.start, self.end, freq="D")
+        elif temporal_resolution == "monthly":
+            self.dates = pd.date_range(self.start, self.end, freq="MS")
+
+        self.date_str = f"{self.start}/to/{self.end}"
+
+    def initialize(self):
+        """Initialize connection with ECMWF server."""
+        try:
+            url = os.environ["ECMWF_API_URL"]
+            key = os.environ["ECMWF_API_KEY"]
+            email = os.environ["ECMWF_API_EMAIL"]
+        except KeyError:
+            raise AuthenticationError(
+                "Please define the following environment variables to successfully establish a "
+                "connection with ecmwf server ECMWF_API_URL, ECMWF_API_KEY, ECMWF_API_EMAIL"
+            )
+
+        self.server = ECMWFDataServer(url=url, key=key, email=email)
+
+    def create_grid(self, lat_lim: list, lon_lim: list):
+        """Create_grid.
 
-        self.time = time
-        self.path = path
-        self.vars = variables
+            create grid from the lat/lon boundaries
 
+        Parameters
+        ----------
+        lat_lim: []
+            latitude boundaries
+        lon_lim: []
+            longitude boundaries
+        """
+        cell_size = self.spatial_resolution
         # correct latitude and longitude limits
-        latlim_corr_one = np.floor(lat_lim[0] / 0.125) * 0.125
-        latlim_corr_two = np.ceil(lat_lim[1] / 0.125) * 0.125
+        latlim_corr_one = np.floor(lat_lim[0] / cell_size) * cell_size
+        latlim_corr_two = np.ceil(lat_lim[1] / cell_size) * cell_size
         self.latlim_corr = [latlim_corr_one, latlim_corr_two]
 
         # correct latitude and longitude limits
-        lonlim_corr_one = np.floor(lon_lim[0] / 0.125) * 0.125
-        lonlim_corr_two = np.ceil(lon_lim[1] / 0.125) * 0.125
+        lonlim_corr_one = np.floor(lon_lim[0] / cell_size) * cell_size
+        lonlim_corr_two = np.ceil(lon_lim[1] / cell_size) * cell_size
         self.lonlim_corr = [lonlim_corr_one, lonlim_corr_two]
-        # TODO move it to the ECMWF method later
-        # for ECMWF only
-        self.date_str = f"{self.start}/to/{self.end}"
 
-    def download(self, dataset: str = "interim", progress_bar: bool = True):
-        """ECMWF.
+    def download(
+        self, dataset: str = "interim", progress_bar: bool = True, *args, **kwargs
+    ):
+        """Download wrapper over all given variables.
 
-        ECMWF method downloads ECMWF daily data for a given variable, time
+        ECMWF method downloads ECMWF daily data for a given variable, temporal_resolution
         interval, and spatial extent.
 
 
@@ -109,41 +160,86 @@ def download(self, dataset: str = "interim", progress_bar: bool = True):
         -------
         None.
         """
+        # read the datasource catalog
+        catalog = Catalog()
+
         for var in self.vars:
             # Download data
             logger.info(
                 f"Download ECMWF {var} data for period {self.start} till {self.end}"
             )
-            self.downloadData(
-                var, dataset=dataset, progress_bar=progress_bar
+            var_info = catalog.get_variable(var)
+            self.downloadDataset(
+                var_info, dataset=dataset, progress_bar=progress_bar
             )  # CaseParameters=[SumMean, Min, Max]
         # delete the downloaded netcdf
         del_ecmwf_dataset = os.path.join(self.path, "data_interim.nc")
         os.remove(del_ecmwf_dataset)
 
-    def downloadData(
-        self, var: str, dataset: str = "interim", progress_bar: bool = True
+    def downloadDataset(
+        self,
+        var_info: Dict[str, str],
+        dataset: str = "interim",
+        progress_bar: bool = True,
     ):
-        """This function downloads ECMWF six-hourly, daily or monthly data.
+        """Download a climate variable.
+
+            This function downloads ECMWF six-hourly, daily or monthly data.
 
         Parameters
         ----------
-        var: [str]
-            variable name
+        var_info: [str]
+            variable detailed information
+            >>> {
+            >>>     'descriptions': 'Evaporation [m of water]',
+            >>>     'units': 'mm',
+            >>>     'types': 'flux',
+            >>>     'temporal resolution': ['six hours', 'daily', 'monthly'],
+            >>>     'file name': 'Evaporation',
+            >>>     'download type': 2,
+            >>>     'number_para': 182,
+            >>>     'var_name': 'e',
+            >>>     'factors_add': 0,
+            >>>     'factors_mul': 1000
+            >>> }
         dataset: [str]
             Default is "interm"
         progress_bar: [bool]
             True if you want to display a progress bar.
         """
-        # Load factors / unit / type of variables / accounts
-        VarInfo = Variables(self.time)
-        var_info = VarInfo.catalog.get(var)
-        # Create Out directory
-        out_dir = f"{self.path}, {self.time}, {VarInfo.catalog.get('file name')}"
+        # Create the directory
+        out_dir = f"{self.path}/{self.temporal_resolution}/{var_info.get('file name')}"
 
         if not os.path.exists(out_dir):
             os.makedirs(out_dir)
 
+        # trigger the request to the server
+        self.API(var_info, dataset)
+        # process the downloaded data
+        self.post_download(var_info, out_dir, dataset, progress_bar)
+
+    def API(self, var_info, dataset):
+        """form the request url abd trigger the request.
+
+        Parameters
+        ----------
+        dataset: [str]
+            dataset name
+        var_info: [str]
+            variable detailed information
+            >>> {
+            >>>     'descriptions': 'Evaporation [m of water]',
+            >>>     'units': 'mm',
+            >>>     'types': 'flux',
+            >>>     'temporal resolution': ['six hours', 'daily', 'monthly'],
+            >>>     'file name': 'Evaporation',
+            >>>     'download type': 2,
+            >>>     'number_para': 182,
+            >>>     'var_name': 'e',
+            >>>     'factors_add': 0,
+            >>>     'factors_mul': 1000
+            >>> }
+        """
         download_type = var_info.get("download type")
         # https://www.ecmwf.int/en/computing/software/ecmwf-web-api
         stream = "oper"  # https://apps.ecmwf.int/codes/grib/format/mars/stream/
@@ -175,14 +271,15 @@ def downloadData(
         parameter_number = var_info.get("number_para")
 
         param = f"{parameter_number}.128"
-        grid = "0.125/0.125"
+        grid = f"{self.spatial_resolution}/{self.spatial_resolution}"
         class_str = "ei"
         # N, W, S, E
         area_str = f"{self.latlim_corr[1]}/{self.lonlim_corr[0]}/{self.latlim_corr[0]}/{self.lonlim_corr[1]}"
 
         # Download data by using the ECMWF API
         logger.info("Use API ECMWF to collect the data, please wait")
-        ECMWF.API(
+        self.callAPI(
+            self.server,
             self.path,
             download_type,
             stream,
@@ -198,6 +295,112 @@ def downloadData(
             dataset=dataset,
         )
 
+    @staticmethod
+    def callAPI(
+        server,
+        output_folder: str,
+        download_type: str,
+        stream: str,
+        levtype: str,
+        param: str,
+        step: str,
+        grid: str,
+        time_str: str,
+        date_str: str,
+        type_str: str,
+        class_str: str,
+        area_str: str,
+        dataset: str = "interim",
+    ):
+        """send the request to the server.
+
+        Parameters
+        ----------
+        output_folder: [str]
+            directory where files will be saved
+        download_type: [int]
+        stream
+        levtype
+        param
+        step
+        grid
+        time_str
+        date_str
+        type_str
+        class_str
+        area_str
+        dataset
+        """
+
+        os.chdir(output_folder)
+
+        if download_type == 1 or download_type == 2:
+            server.retrieve(
+                {
+                    "stream": stream,
+                    "levtype": levtype,
+                    "param": param,
+                    "dataset": dataset,
+                    "step": step,
+                    "grid": grid,
+                    "time": time_str,
+                    "date": date_str,
+                    "type": type_str,  # http://apps.ecmwf.int/codes/grib/format/mars/type/
+                    "class": class_str,  # http://apps.ecmwf.int/codes/grib/format/mars/class/
+                    "area": area_str,
+                    "format": "netcdf",
+                    "target": f"data_{dataset}.nc",
+                }
+            )
+
+        if download_type == 3:
+            server.retrieve(
+                {
+                    "levelist": "1000",
+                    "stream": stream,
+                    "levtype": levtype,
+                    "param": param,
+                    "dataset": dataset,
+                    "step": step,
+                    "grid": grid,
+                    "time": time_str,
+                    "date": date_str,
+                    "type": type_str,  # http://apps.ecmwf.int/codes/grib/format/mars/type/
+                    "class": class_str,  # http://apps.ecmwf.int/codes/grib/format/mars/class/
+                    "area": area_str,
+                    "format": "netcdf",
+                    "target": f"data_{dataset}.nc",
+                }
+            )
+
+    def post_download(
+        self, var_info: Dict[str, str], out_dir, dataset: str, progress_bar: bool = True
+    ):
+        """clip the downloaded data to the extent we want.
+
+        Parameters
+        ----------
+        var_info: [str]
+            variable detailed information
+            >>> {
+            >>>     'descriptions': 'Evaporation [m of water]',
+            >>>     'units': 'mm',
+            >>>     'types': 'flux',
+            >>>     'temporal resolution': ['six hours', 'daily', 'monthly'],
+            >>>     'file name': 'Evaporation',
+            >>>     'download type': 2,
+            >>>     'number_para': 182,
+            >>>     'var_name': 'e',
+            >>>     'factors_add': 0,
+            >>>     'factors_mul': 1000
+            >>> }
+        out_dir: [str]
+            root directory for where the files will be saved.
+        dataset: [str]
+            dataset name. Default is interm
+        progress_bar: [bool]
+            True to display a progress bar
+        """
         # Open the downloaded data
         NC_filename = os.path.join(self.path, f"data_{dataset}.nc")
         fh = Dataset(NC_filename, mode="r")
@@ -217,17 +420,26 @@ def downloadData(
         # Define the georeference information
         geo_four = np.nanmax(lats)
         geo_one = np.nanmin(lons)
-        geo = tuple([geo_one, 0.125, 0.0, geo_four, 0.0, -0.125])
+        geo = tuple(
+            [
+                geo_one,
+                self.spatial_resolution,
+                0.0,
+                geo_four,
+                0.0,
+                -1 * self.spatial_resolution,
+            ]
+        )
 
         # Create Waitbar
         if progress_bar:
-            total_amount = len(self.Dates)
+            total_amount = len(self.dates)
             amount = 0
             print_progress_bar(
                 amount, total_amount, prefix="Progress:", suffix="Complete", length=50
             )
 
-        for date in self.Dates:
+        for date in self.dates:
 
             # Define the year, month and day
             year = date.year
@@ -242,9 +454,9 @@ def downloadData(
 
             Date_good = np.zeros(len(Data_time))
 
-            if self.time == "daily":
+            if self.temporal_resolution == "daily":
                 days_later = 1
-            if self.time == "monthly":
+            if self.temporal_resolution == "monthly":
                 days_later = calendar.monthrange(year, month)[1]
 
             Date_good[
@@ -270,7 +482,7 @@ def downloadData(
             # Define the out name
             name_out = os.path.join(
                 out_dir,
-                f"%{var_output_name}_ECMWF_ERA-Interim_{Var_unit}_{self.time}_{year}.{month}.{day}.tif",
+                f"%{var_output_name}_ECMWF_ERA-Interim_{Var_unit}_{self.temporal_resolution}_{year}.{month}.{day}.tif",
             )
 
             # Create Tiff files
@@ -289,96 +501,27 @@ def downloadData(
 
         fh.close()
 
-    @staticmethod
-    def API(
-        output_folder: str,
-        download_type: str,
-        stream: str,
-        levtype: str,
-        param: str,
-        step: str,
-        grid: str,
-        time_str: str,
-        date_str: str,
-        type_str: str,
-        class_str: str,
-        area_str: str,
-        dataset: str = "interim",
-    ):
-
-        os.chdir(output_folder)
-        server = ECMWFDataServer()
-        # url = os.environ['ECMWF_API_URL'],
-        # key = os.environ['ECMWF_API_KEY'],
-        # email = os.environ['ECMWF_API_EMAIL'],
-        if download_type == 1 or download_type == 2:
-            server.retrieve(
-                {
-                    "stream": stream,
-                    "levtype": levtype,
-                    "param": param,
-                    "dataset": dataset,
-                    "step": step,
-                    "grid": grid,
-                    "time": time_str,
-                    "date": date_str,
-                    "type": type_str,  # http://apps.ecmwf.int/codes/grib/format/mars/type/
-                    "class": class_str,  # http://apps.ecmwf.int/codes/grib/format/mars/class/
-                    "area": area_str,
-                    "format": "netcdf",
-                    "target": f"data_{dataset}.nc",
-                }
-            )
-
-        if download_type == 3:
-            server.retrieve(
-                {
-                    "levelist": "1000",
-                    "stream": stream,
-                    "levtype": levtype,
-                    "param": param,
-                    "dataset": dataset,
-                    "step": step,
-                    "grid": grid,
-                    "time": time_str,
-                    "date": date_str,
-                    "type": type_str,  # http://apps.ecmwf.int/codes/grib/format/mars/type/
-                    "class": class_str,  # http://apps.ecmwf.int/codes/grib/format/mars/class/
-                    "area": area_str,
-                    "format": "netcdf",
-                    "target": f"data_{dataset}.nc",
-                }
-            )
-
 
-class Variables:
-    """This class contains the information about the ECMWF variables http://rda.ucar.edu/cgi-bin/transform?xml=/metadata/ParameterTables/WMO_GRIB1.98-0.128.xml&view=gribdoc."""
+class Catalog(AbstractCatalog):
+    """ECMWF data catalog This class contains the information about the ECMWF variables http://rda.ucar.edu/cgi-bin/transform?xml=/metadata/ParameterTables/WMO_GRIB1.98-0.128.xml&view=gribdoc."""
 
-    with open(f"{__path__[0]}/ecmwf_data_catalog.yaml", "r") as stream:
-        catalog = yaml.safe_load(stream)
-
-    def __init__(self, step, version: int = 1):
+    def __init__(self, version: int = 1):
+        # get the catalog
+        self.catalog = self.get_catalog()
         self.version = version
 
-    # def __str__(self):
-    #     print(
-    #         f"Variable name:\n {self.var_name}\nDescriptions\n{self.descriptions}\nUnits : \n{self.units}"
-    #     )
+    def get_catalog(self):
+        """readthe data catalog from disk."""
+        with open(f"{__path__[0]}/ecmwf_data_catalog.yaml", "r") as stream:
+            catalog = yaml.safe_load(stream)
+        return catalog
 
-    def ListAttributes(self):
-        """Print Attributes List."""
-        print("\n")
-        print(
-            f"Attributes List of: {repr(self.__dict__['name'])} - {self.__class__.__name__} Instance\n"
-        )
-        self_keys = list(self.__dict__.keys())
-        self_keys.sort()
-        for key in self_keys:
-            if key != "name":
-                print(str(key) + " : " + repr(self.__dict__[key]))
+    def get_variable(self, var_name):
+        """retrieve a variable form the datasource catalog."""
+        return self.catalog.get(var_name)
 
-        print("\n")
 
+class AuthenticationError(Exception):
+    """Failed to establish connection with ECMWF server."""
 
-# class MSWEP():
-"http://www.gloh2o.org/mswx/"
+    pass
diff --git a/earth2observe/ecmwf_data_catalog.yaml b/earth2observe/ecmwf_data_catalog.yaml
index 63d2699..3a2d131 100644
--- a/earth2observe/ecmwf_data_catalog.yaml
+++ b/earth2observe/ecmwf_data_catalog.yaml
@@ -5,6 +5,7 @@ version: 1
 # available datasets
 #https://confluence.ecmwf.int/display/WEBAPI/Available+ECMWF+Public+Datasets
 datasets: [cams_gfas, cams_nrealtime, cera20c, cera_sat, era15, era20c, era20cm, era20cmv0, era40, geff_reanalysis, icoads, interim, interim_land, ispd, macc, macc_nrealtime, s2s, tigge, uerra, yopp, yotc]
+variables: [T, 2T, SRO, SSRO, WIND, 10SI, SP, Q, SSR, R, E, SUND, RO, TP, 10U, 10V, 2D, SR, AL, HCC]
 
 T:
   descriptions: Temperature [K]
diff --git a/earth2observe/utils.py b/earth2observe/utils.py
index 9f57fec..a3697a4 100644
--- a/earth2observe/utils.py
+++ b/earth2observe/utils.py
@@ -1,4 +1,3 @@
-import gzip
 import os
 import sys
 
@@ -44,31 +43,3 @@ def print_progress_bar(
 
     if i == total:
         print()
-
-
-def extractFromGZ(input_file, output_file, delete=False):
-    """ExtractFromGZ method extract data from the zip/.gz files, save the data.
-
-    Parameters
-    ----------
-    input_file : [str]
-        zipped file name .
-    output_file : [str]
-        directory where the unzipped data must be
-                            stored.
-    delete : [bool]
-        True if you want to delete the zipped file after the extracting the data
-    Returns
-    -------
-    None.
-    """
-    with gzip.GzipFile(input_file, "rb") as zf:
-        content = zf.read()
-        save_file_content = open(output_file, "wb")
-        save_file_content.write(content)
-
-    save_file_content.close()
-    zf.close()
-
-    if delete:
-        os.remove(input_file)
diff --git a/environment.yml b/environment.yml
index efac3f8..0f5ecb0 100644
--- a/environment.yml
+++ b/environment.yml
@@ -2,7 +2,7 @@ channels:
   - conda-forge
 dependencies:
   - python >=3.9,<3.11
-  - numpy ==1.23.5
+  - numpy ==1.24.1
   - pip >=22.3.1
   - gdal >=3.5.3
   - netCDF4 >=1.6.1
@@ -10,8 +10,10 @@ dependencies:
   - ecmwf-api-client >=1.6.3
   - earthengine-api >=0.1.324
   - joblib >=1.2.0
-  - pyramids >=0.2.11
+  - pyramids >=0.2.12
   - loguru >=0.6.0
+  - PyYAML >=6.0
+  - pathlib >=1.0.1
   - pytest >=7.2.0
   - pytest-cov ==4.0.0
   - requests >=2.28.1
diff --git a/examples/abstract_implementation.py b/examples/abstract_implementation.py
new file mode 100644
index 0000000..b260695
--- /dev/null
+++ b/examples/abstract_implementation.py
@@ -0,0 +1,51 @@
+from earth2observe.earth2observe import Earth2Observe
+
+source = "chirps"
+start = "2009-01-01"
+end = "2009-01-10"
+temporal_resolution = "daily"
+latlim = [4.19, 4.64]
+lonlim = [-75.65, -74.73]
+path = r"examples\data\chirps"
+variables = ["precipitation"]
+e2o = Earth2Observe(
+    data_source=source,
+    start=start,
+    end=end,
+    variables=variables,
+    lat_lim=latlim,
+    lon_lim=lonlim,
+    temporal_resolution=temporal_resolution,
+    path=path,
+)
+# e2o.download()
+#%%
+path = r"examples\data\chirps-cores"
+
+e2o = Earth2Observe(
+    data_source=source,
+    start=start,
+    end=end,
+    variables=variables,
+    lat_lim=latlim,
+    lon_lim=lonlim,
+    temporal_resolution=temporal_resolution,
+    path=path,
+)
+# e2o.download(cores=4)
+#%%
+
+path = r"examples\data\ecmwf"
+source = "ecmwf"
+variables = ["E"]
+e2o = Earth2Observe(
+    data_source=source,
+    start=start,
+    end=end,
+    variables=variables,
+    lat_lim=latlim,
+    lon_lim=lonlim,
+    temporal_resolution=temporal_resolution,
+    path=path,
+)
+e2o.download()
diff --git a/examples/chirps data.py b/examples/chirps_data.py
similarity index 78%
rename from examples/chirps data.py
rename to examples/chirps_data.py
index e3c92ea..d717b82 100644
--- a/examples/chirps data.py	
+++ b/examples/chirps_data.py
@@ -9,14 +9,14 @@
 
 path = r"examples\data\chirps"
 Coello = CHIRPS(
-    time=time,
     start=start,
     end=end,
     lat_lim=latlim,
     lon_lim=lonlim,
+    temporal_resolution=time,
     path=path,
 )
 #%%
-# Coello.Download()  # cores=4
+Coello.download()  # cores=4
 #%%
-Coello.Download(cores=4)
+# Coello.download(cores=4)
diff --git a/examples/data/ecmwf/data_interim.nc b/examples/data/ecmwf/data_interim.nc
deleted file mode 100644
index 3d8fd13..0000000
Binary files a/examples/data/ecmwf/data_interim.nc and /dev/null differ
diff --git a/examples/ecmwf_data.py b/examples/ecmwf_data.py
index 9440ea0..d9979e4 100644
--- a/examples/ecmwf_data.py
+++ b/examples/ecmwf_data.py
@@ -6,7 +6,7 @@
 """
 import os
 
-from earth2observe.ecmwf import ECMWF, Variables
+from earth2observe.ecmwf import ECMWF, Catalog
 
 rpath = os.getcwd()
 path = rf"{rpath}\examples\data\ecmwf"
@@ -16,12 +16,11 @@
 time = "daily"
 lat = [4.190755, 4.643963]
 lon = [-75.649243, -74.727286]
-path = "/data/satellite_data/"
 # Temperature, Evapotranspiration
 variables = ["T", "E"]
 #%%
-Vars = Variables("daily")
-Vars.__str__()
+Vars = Catalog()
+print(Vars.catalog)
 #%% Temperature
 start = "2009-01-01"
 end = "2009-02-01"
@@ -29,33 +28,30 @@
 latlim = [4.19, 4.64]
 lonlim = [-75.65, -74.73]
 # %%
-Vars = Variables("daily")
-print(Vars.catalog)
-# %%
 # Temperature, Evapotranspiration
 variables = ["E"]  # "T",
 
 Coello = ECMWF(
-    time=time,
+    temporal_resolution=time,
     start=start,
     end=end,
-    lat_lim=latlim,
-    lon_lim=lonlim,
     path=path,
     variables=variables,
+    lat_lim=latlim,
+    lon_lim=lonlim,
 )
 
 Coello.download(dataset="interim")
 #%%
 variables = ["SRO"]
 Coello = ECMWF(
-    time=time,
+    temporal_resolution=time,
     start=start,
     end=end,
-    lat_lim=latlim,
-    lon_lim=lonlim,
     path=path,
     variables=variables,
+    lat_lim=latlim,
+    lon_lim=lonlim,
 )
 
 Coello.download()
diff --git a/requirements.txt b/requirements.txt
index 55154c4..6c4cffa 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,8 +4,10 @@ gdal >=3.5.3
 joblib >=1.2.0
 loguru >=0.6.0
 netCDF4 >=1.6.1
-numpy ==1.23.5
+numpy ==1.24.1
 pandas >=1.4.4
+pathlib >=1.0.1
 pip >=22.3.1
-pyramids-gis >=0.2.11
+pyramids-gis >=0.2.12
+PyYAML >=6.0
 requests >=2.28.1
diff --git a/setup.py b/setup.py
index 00daa8a..2fa0ea2 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@
 
 setup(
     name="earth2observe",
-    version="0.1.7",
+    version="0.2.0",
     description="remote sensing package",
     author="Mostafa Farrag",
     author_email="moah.farag@gmail.come",
diff --git a/tests/conftest.py b/tests/conftest.py
index 7369fbd..26b5b3c 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,11 +1,71 @@
-import pandas as pd
+from pathlib import Path
+from typing import List
+
 import pytest
 
 from tests.gee.conftest import *
 
-# from typing import List
+
+@pytest.fixture(scope="session")
+def dates() -> List:
+    return ["2009-01-01", "2009-01-05"]
+
+
+@pytest.fixture(scope="session")
+def number_downloaded_files() -> int:
+    return 5
+
+
+@pytest.fixture(scope="session")
+def daily_temporal_resolution() -> str:
+    return "daily"
+
+
+@pytest.fixture(scope="session")
+def lat_bounds() -> List:
+    return [4.19, 4.64]
+
+
+@pytest.fixture(scope="session")
+def lon_bounds() -> List:
+    return [-75.65, -74.73]
+
+
+@pytest.fixture(scope="session")
+def chirps_base_dir() -> str:
+    return "tests/data/delete/chirps"
+
+
+@pytest.fixture(scope="session")
+def ecmwf_base_dir() -> Path:
+    return Path("tests/data/delete/ecmwf").absolute()
+
+
+@pytest.fixture(scope="session")
+def chirps_variables() -> List[str]:
+    return ["precipitation"]  # "T",
+
+
+@pytest.fixture(scope="session")
+def ecmwf_variables() -> List[str]:
+    return ["E"]  # "T",
+
+
+@pytest.fixture(scope="session")
+def ecmwf_data_source() -> str:
+    return "ecmwf"
+
+
+@pytest.fixture(scope="session")
+def ecmwf_data_source_output_dir() -> str:
+    return Path("tests/data/delete/ecmwf-backend").absolute()
+
+
+@pytest.fixture(scope="session")
+def chirps_data_source() -> str:
+    return "chirps"
 
 
-# @pytest.fixture(scope="module")
-# def time_series1() -> list:
-# return pd.read_csv("examples/data/time_series1.txt", header=None)[0].tolist()
+@pytest.fixture(scope="session")
+def chirps_data_source_output_dir() -> str:
+    return Path("tests/data/delete/chirps-backend").absolute()
diff --git a/tests/mo/mswep.py b/tests/mo/mswep.py
new file mode 100644
index 0000000..9f96b1a
--- /dev/null
+++ b/tests/mo/mswep.py
@@ -0,0 +1,2 @@
+# class MSWEP():
+"""http://www.gloh2o.org/mswx/"""
diff --git a/tests/test_chirps.py b/tests/test_chirps.py
new file mode 100644
index 0000000..ff09f81
--- /dev/null
+++ b/tests/test_chirps.py
@@ -0,0 +1,51 @@
+import glob
+import os
+import shutil
+from typing import List
+
+import pytest
+
+from earth2observe.chirps import CHIRPS
+
+
+@pytest.fixture(scope="session")
+def test_create_chirps_object(
+    dates: List,
+    daily_temporal_resolution: str,
+    chirps_variables: List[str],
+    lat_bounds: List,
+    lon_bounds: List,
+    chirps_base_dir: str,
+):
+    Coello = CHIRPS(
+        start=dates[0],
+        end=dates[1],
+        lat_lim=lat_bounds,
+        lon_lim=lon_bounds,
+        variables=chirps_variables,
+        temporal_resolution=daily_temporal_resolution,
+        path=chirps_base_dir,
+    )
+    assert Coello.api_url == "data.chc.ucsb.edu"
+    assert Coello.lon_boundaries == [-180, 180]
+    assert Coello.lat_bondaries == [-50, 50]
+    assert str(Coello.dates[0].date()) == dates[0]
+    assert str(Coello.dates[-1].date()) == dates[1]
+
+    return Coello
+
+
+def test_download(
+    test_create_chirps_object: CHIRPS,
+    chirps_base_dir: str,
+    number_downloaded_files: int,
+):
+    fname = test_create_chirps_object.clipped_fname
+    test_create_chirps_object.download()
+
+    filelist = glob.glob(
+        os.path.join(f"{chirps_base_dir}/chirps/precipitation", f"{fname}*.tif")
+    )
+    assert len(filelist) == number_downloaded_files
+    # delete the files
+    shutil.rmtree(f"{chirps_base_dir}/chirps/precipitation")
diff --git a/tests/test_earth2observe.py b/tests/test_earth2observe.py
new file mode 100644
index 0000000..44656c7
--- /dev/null
+++ b/tests/test_earth2observe.py
@@ -0,0 +1,98 @@
+import glob
+import os
+import shutil
+from typing import List
+
+import pytest
+
+from earth2observe.chirps import CHIRPS
+from earth2observe.earth2observe import Earth2Observe
+from earth2observe.ecmwf import ECMWF
+
+
+class TestChirpsBackend:
+    @pytest.fixture(scope="session")
+    def test_chirps_data_source_instantiate_object(
+        self,
+        chirps_data_source: str,
+        dates: List,
+        daily_temporal_resolution: str,
+        chirps_variables: List[str],
+        lat_bounds: List,
+        lon_bounds: List,
+        chirps_data_source_output_dir: str,
+    ):
+        e2o = Earth2Observe(
+            data_source=chirps_data_source,
+            start=dates[0],
+            end=dates[1],
+            variables=chirps_variables,
+            lat_lim=lat_bounds,
+            lon_lim=lon_bounds,
+            temporal_resolution=daily_temporal_resolution,
+            path=chirps_data_source_output_dir,
+        )
+        assert isinstance(e2o.DataSources, dict)
+        assert isinstance(e2o.datasource, CHIRPS)
+        assert e2o.datasource.vars == chirps_variables
+        assert isinstance(e2o.datasource.lat_lim, list)
+        return e2o
+
+    def test_download_chirps_backend(
+        self,
+        test_chirps_data_source_instantiate_object: CHIRPS,
+        chirps_data_source_output_dir: str,
+        number_downloaded_files: int,
+    ):
+        test_chirps_data_source_instantiate_object.download()
+        fname = "P_CHIRPS"
+        filelist = glob.glob(
+            os.path.join(
+                f"{chirps_data_source_output_dir}/chirps/precipitation", f"{fname}*.tif"
+            )
+        )
+        assert len(filelist) == number_downloaded_files
+        # delete the files
+        shutil.rmtree(f"{chirps_data_source_output_dir}/chirps/precipitation")
+
+
+class TestECMWFBackend:
+    @pytest.fixture(scope="session")
+    def test_ecmwf_data_source_instantiate_object(
+        self,
+        ecmwf_data_source: str,
+        dates: List,
+        daily_temporal_resolution: str,
+        ecmwf_variables: List[str],
+        lat_bounds: List,
+        lon_bounds: List,
+        ecmwf_data_source_output_dir: str,
+    ):
+        e2o = Earth2Observe(
+            data_source=ecmwf_data_source,
+            start=dates[0],
+            end=dates[1],
+            variables=ecmwf_variables,
+            lat_lim=lat_bounds,
+            lon_lim=lon_bounds,
+            temporal_resolution=daily_temporal_resolution,
+            path=ecmwf_data_source_output_dir,
+        )
+        assert isinstance(e2o.DataSources, dict)
+        assert isinstance(e2o.datasource, ECMWF)
+        assert e2o.datasource.vars == ecmwf_variables
+        return e2o
+
+    def test_download_chirps_backend(
+        self,
+        test_ecmwf_data_source_instantiate_object: CHIRPS,
+        ecmwf_data_source_output_dir: str,
+        number_downloaded_files: int,
+    ):
+        test_ecmwf_data_source_instantiate_object.download()
+        filelist = glob.glob(
+            os.path.join(f"{ecmwf_data_source_output_dir}/daily/Evaporation/", f"*.tif")
+        )
+        assert len(filelist) == number_downloaded_files
+        # delete the files
+        shutil.rmtree(f"{ecmwf_data_source_output_dir}/daily")
diff --git a/tests/test_ecmwf.py b/tests/test_ecmwf.py
new file mode 100644
index 0000000..a1d1c95
--- /dev/null
+++ b/tests/test_ecmwf.py
@@ -0,0 +1,40 @@
+import glob
+import os
+import shutil
+from typing import List
+
+import pytest
+
+from earth2observe.ecmwf import ECMWF
+
+
+@pytest.fixture(scope="session")
+def test_create_ecmwf_object(
+    dates: List,
+    lat_bounds: List,
+    lon_bounds: List,
+    ecmwf_base_dir: str,
+    ecmwf_variables: List[str],
+):
+    Coello = ECMWF(
+        start=dates[0],
+        end=dates[1],
+        lat_lim=lat_bounds,
+        lon_lim=lon_bounds,
+        path=ecmwf_base_dir,
+        variables=ecmwf_variables,
+    )
+    assert isinstance(Coello, ECMWF)
+    return Coello
+
+
+def test_download(
+    test_create_ecmwf_object: ECMWF,
+    ecmwf_base_dir: str,
+    number_downloaded_files: int,
+):
+    test_create_ecmwf_object.download()
+    filelist = glob.glob(os.path.join(f"{ecmwf_base_dir}/daily/Evaporation/", f"*.tif"))
+    assert len(filelist) == number_downloaded_files
+    # delete the files
+    shutil.rmtree(f"{ecmwf_base_dir}/daily")