From cc12ce4f94ae4c2b9b25d05be605c9be766d8e06 Mon Sep 17 00:00:00 2001 From: Cassie Nickles Date: Tue, 2 Jul 2024 19:04:20 +0000 Subject: [PATCH] Update the outputs of the SWOT oceanography data There was a discrepancy in the outputs for these notebooks --- ...DirectCloud_Access_SWOT_Oceanography.ipynb | 844 +- .../Localmachine_SWOT_Oceanography.ipynb | 9147 +++++++++++------ 2 files changed, 6366 insertions(+), 3625 deletions(-) diff --git a/notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb b/notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb index 37cd7299..fe4a9576 100644 --- a/notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb +++ b/notebooks/datasets/DirectCloud_Access_SWOT_Oceanography.ipynb @@ -13,7 +13,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Access SWOT Oceanography Data in the Cloud\n", + "# Access SWOT L2 Oceanography Data in AWS Cloud\n", "\n", "## Summary\n", "This notebook will show direct access of PO.DAAC archived products in the Earthdata Cloud in AWS Simple Storage Service (S3). In this demo, we will showcase the usage of SWOT Level 2 Low Rate products:\n", @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": { "tags": [] }, @@ -145,7 +145,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5f841b54bda64956bc21646d90f1d0a2", + "model_id": "1dcf8b9a94284d65a5f175d54f3e5117", "version_major": 2, "version_minor": 0 }, @@ -159,7 +159,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ec4d87fa49b84464942d7fd3646a2632", + "model_id": "4f19897f7b374afb8abdc3b51373e6fd", "version_major": 2, "version_minor": 0 }, @@ -173,7 +173,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "49e9c9ba9c9f43738b347d531ae5809f", + "model_id": "c6c0472f9f514f838ae9f49cc0e2bc7c", "version_major": 2, "version_minor": 0 }, @@ -550,29 +550,29 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.Dataset>\n",
+       "
<xarray.Dataset> Size: 4GB\n",
        "Dimensions:                                (num_lines: 98660, num_pixels: 69,\n",
        "                                            num_sides: 2)\n",
        "Coordinates:\n",
-       "    latitude                               (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    longitude                              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    latitude_nadir                         (num_lines) float64 dask.array<chunksize=(9866,), meta=np.ndarray>\n",
-       "    longitude_nadir                        (num_lines) float64 dask.array<chunksize=(9866,), meta=np.ndarray>\n",
+       "    latitude                               (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    longitude                              (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    latitude_nadir                         (num_lines) float64 789kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
+       "    longitude_nadir                        (num_lines) float64 789kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
        "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
        "Data variables: (12/98)\n",
-       "    time                                   (num_lines) float64 dask.array<chunksize=(9866,), meta=np.ndarray>\n",
-       "    time_tai                               (num_lines) float64 dask.array<chunksize=(9866,), meta=np.ndarray>\n",
-       "    ssh_karin                              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    ssh_karin_qual                         (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    ssh_karin_uncert                       (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    ssha_karin                             (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    time                                   (num_lines) float64 789kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
+       "    time_tai                               (num_lines) float64 789kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
+       "    ssh_karin                              (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    ssh_karin_qual                         (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    ssha_karin                             (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
        "    ...                                     ...\n",
-       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    volumetric_correlation                 (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
-       "    volumetric_correlation_uncert          (num_lines, num_pixels) float32 dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 27MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 27MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 27MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 27MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    volumetric_correlation                 (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
+       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 54MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
        "Attributes: (12/62)\n",
        "    Conventions:                                   CF-1.7\n",
        "    title:                                         Level 2 Low Rate Sea Surfa...\n",
@@ -586,7 +586,7 @@
        "    good_ocean_data_percent:                       76.4772191457865\n",
        "    ssha_variance:                                 0.4263933333980923\n",
        "    references:                                    V1.2.1\n",
-       "    equator_longitude:                             -5.36