diff --git a/data/NSIDC-0780_SeaIceRegions_PS-N3.125km_v1_wLatLon_df1.nc b/data/NSIDCRegions_N3.125km_v1.1_wLatLon_df1.nc similarity index 68% rename from data/NSIDC-0780_SeaIceRegions_PS-N3.125km_v1_wLatLon_df1.nc rename to data/NSIDCRegions_N3.125km_v1.1_wLatLon_df1.nc index e86c4e1d5976518a6e7d7a189b0e3b4465d32c23..1ff14dec0789756210cdee8efd9f097a6c474c7c 100644 Binary files a/data/NSIDC-0780_SeaIceRegions_PS-N3.125km_v1_wLatLon_df1.nc and b/data/NSIDCRegions_N3.125km_v1.1_wLatLon_df1.nc differ diff --git a/src/tbxsectors.py b/src/tbxsectors.py index 498ad21353437c28daaa8f99ddbb193a23ab514b..f78487ad92ff8e640562623ae59857265f499726 100644 --- a/src/tbxsectors.py +++ b/src/tbxsectors.py @@ -1,9 +1,7 @@ import xarray as xr import numpy as np -import pandas as pd import matplotlib.pyplot as plt import matplotlib.path as mpath -import matplotlib.patches as mpatches import cartopy.crs as ccrs import cartopy.feature as cfeat from pathlib import Path @@ -76,7 +74,7 @@ def define_sectors(ref="RH"): return sectors def interp_mask2grid(target_grid=None, - maskFile=Path.home().joinpath('shared/NSIDC-0780_SeaIceRegions_PS-N3.125km_v1_wLatLon.nc')): + maskFile=Path.cwd().joinpath('../data/NSIDCRegions_N3.125km_v1.1_wLatLon_df1.nc')): """ This function creates a region mask based on the NSIDC definition for the Arctic Ocean. It loads the NSIDC mask and interpolates it onto the provided grid. @@ -98,12 +96,11 @@ def interp_mask2grid(target_grid=None, # Before calculating weights, check if this is one of the pre-calculated situations if isinstance(target_grid,str): if target_grid == 'ORCA1_nh': - ds_mask_interp = xr.open_dataset(Path.home().joinpath('shared/NSIDCRegionsMask_ORCA1_nh.nc')) + ds_mask_interp = xr.open_dataset(Path.cwd().joinpath('../data/NSIDCRegionsMask_ORCA1_nh.nc')) elif target_grid == 'ORCA025_nh': - ds_mask_interp = xr.open_dataset(Path.home().joinpath('shared/NSIDCRegionsMask_ORCA025_nh.nc')) + ds_mask_interp = xr.open_dataset(Path.cwd().joinpath('../data/NSIDCRegionsMask_ORCA025_nh.nc')) else: - print("ERROR: the target grid could not be recognized.") - return + ds_mask_interp = xr.open_dataset(target_grid) else: # First of all, load the mask ds_mask = xr.open_dataset(maskFile) @@ -137,7 +134,9 @@ def interp_mask2grid(target_grid=None, return ds_mask_interp -def groupby_sectors(ds, ref=None, target_gd=None): +def groupby_sectors(ds, ref=None, + target_gd=None, + maskFile=Path.cwd().joinpath('../data/NSIDCRegions_N3.125km_v1.1_wLatLon_df1.nc')): """ Define sectors and Groupby a dataset or dataArray into those sectors. This can then be used to perform calculations such as ice extent or ice area for each sector. @@ -154,6 +153,8 @@ def groupby_sectors(ds, ref=None, target_gd=None): - target_gd: String, the target grid. This is only valid if ref='NSIDC'. This is not necessary, but does speed up the function greatly, as it loads an already processed mask, on the ORCA1_nh or ORCA025_nh grid. + - maskFile: path and name of NSIDC mask file. If not provided, uses the default location + in interp_mask2grid. Outputs: A xr.Dataset.groupby object on which computations can be applied. Example: @@ -217,7 +218,7 @@ def groupby_sectors(ds, ref=None, target_gd=None): if target_gd is None: target_gd=ds # Reminder: in `interp_mask2grid`, target_grid can be a string or a ds. # Use `interp_mask2grid` to load or calculate the appropriate mask - ds_mask = interp_mask2grid(target_grid=target_gd) + ds_mask = interp_mask2grid(target_grid=target_gd, maskFile=maskFile) # Then mask the CoordSec appropriately: # loop over sectors, use the `where` method to replace flag by sector name. for n, (secName, secFlag) in enumerate(sectors.items()): @@ -275,7 +276,7 @@ def plot_sectormaps(): try: # If xesmf exists, create or load the regridder and regrid groupd = groupby_sectors(ds_map, ref=ref) except ImportError: # If the import failed, send an error - print("ERROR: xesmf could not be loaded, reference {0:s} skipped.".format(ref)) + print("ERROR: xesmf could not be imported, reference {0:s} skipped.".format(ref)) continue ungroupd = xr.concat([groupd[sec] for sec in groupd.groups.keys()], dim='stacked_y_x').unstack() # Extract the list of sectors. Could simply call `define_sectors`, but then I wouldn't be diff --git a/src/test_tbxsectors.ipynb b/src/test_tbxsectors.ipynb index 7a4d8bc1df4f5da98eecc9b39bbb118f450b0a66..09ed7623a9616693837317d09c98237a1cef10a4 100644 --- a/src/test_tbxsectors.ipynb +++ b/src/test_tbxsectors.ipynb @@ -426,14 +426,14 @@ " comment: SSTs were observed by conventional thermometer...\n", " summary: ERSST.v5 is developed based on v4 after revisi...\n", " dataset_title: NOAA Extended Reconstructed SST V5\n", - " data_modified: 2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-79112ae9-44db-485a-aa01-7f7f3347dfed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79112ae9-44db-485a-aa01-7f7f3347dfed' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-271fbc86-79a4-4b1a-b18f-07a6748aa51a' class='xr-section-summary-in' type='checkbox' checked><label for='section-271fbc86-79a4-4b1a-b18f-07a6748aa51a' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-61400384-7b80-4b41-947e-5d14247d7671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61400384-7b80-4b41-947e-5d14247d7671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-927a75cc-6e08-47ee-82d2-2527657ad709' class='xr-var-data-in' type='checkbox'><label for='data-927a75cc-6e08-47ee-82d2-2527657ad709' 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'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88., 86., 84., 82., 80., 78., 76., 74., 72., 70., 68., 66.,\n", + " data_modified: 2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-617b2a36-6a01-43a6-98bc-213f8d857a4e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-617b2a36-6a01-43a6-98bc-213f8d857a4e' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd075066-2506-42fe-b9e6-918525704870' class='xr-section-summary-in' type='checkbox' checked><label for='section-cd075066-2506-42fe-b9e6-918525704870' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-80c5e381-20ad-4a3c-93a2-f0a58cf71ddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80c5e381-20ad-4a3c-93a2-f0a58cf71ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c3a98f7-ae4e-4fdb-ab63-4c0dfcdd8804' class='xr-var-data-in' type='checkbox'><label for='data-4c3a98f7-ae4e-4fdb-ab63-4c0dfcdd8804' 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'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88., 86., 84., 82., 80., 78., 76., 74., 72., 70., 68., 66.,\n", " 64., 62., 60., 58., 56., 54., 52., 50., 48., 46., 44., 42.,\n", " 40., 38., 36., 34., 32., 30., 28., 26., 24., 22., 20., 18.,\n", " 16., 14., 12., 10., 8., 6., 4., 2., 0., -2., -4., -6.,\n", " -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,\n", " -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,\n", " -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,\n", - " -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-6765e71f-be4b-46eb-9c7d-ede60317a6f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6765e71f-be4b-46eb-9c7d-ede60317a6f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6448434-253a-40b5-a47e-a5a6772df707' class='xr-var-data-in' type='checkbox'><label for='data-a6448434-253a-40b5-a47e-a5a6772df707' 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'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[ 0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 2., 4., 6., 8., 10., 12., 14., 16., 18., 20., 22.,\n", + " -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-1047f3d1-8a6b-4f71-be07-e50552553ee3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1047f3d1-8a6b-4f71-be07-e50552553ee3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-054f9696-a55e-4b93-af02-5fe10e1c189e' class='xr-var-data-in' type='checkbox'><label for='data-054f9696-a55e-4b93-af02-5fe10e1c189e' 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'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[ 0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 2., 4., 6., 8., 10., 12., 14., 16., 18., 20., 22.,\n", " 24., 26., 28., 30., 32., 34., 36., 38., 40., 42., 44., 46.,\n", " 48., 50., 52., 54., 56., 58., 60., 62., 64., 66., 68., 70.,\n", " 72., 74., 76., 78., 80., 82., 84., 86., 88., 90., 92., 94.,\n", @@ -448,10 +448,10 @@ " 288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,\n", " 312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,\n", " 336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],\n", - " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-7cb1e07e-7d1a-423f-87f6-111160df39b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cb1e07e-7d1a-423f-87f6-111160df39b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96cba82-bb6f-4f09-bd7d-2e870a08251a' class='xr-var-data-in' type='checkbox'><label for='data-f96cba82-bb6f-4f09-bd7d-2e870a08251a' 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'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array(['1970-01-01T00:00:00.000000000', '1970-02-01T00:00:00.000000000',\n", + " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-86445ef8-0794-4eb0-ad7a-e2b196a7d734' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86445ef8-0794-4eb0-ad7a-e2b196a7d734' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0688bd1-41d4-46ee-883d-608aa3a9cbee' class='xr-var-data-in' type='checkbox'><label for='data-d0688bd1-41d4-46ee-883d-608aa3a9cbee' 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'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array(['1970-01-01T00:00:00.000000000', '1970-02-01T00:00:00.000000000',\n", " '1970-03-01T00:00:00.000000000', ..., '2021-10-01T00:00:00.000000000',\n", " '2021-11-01T00:00:00.000000000', '2021-12-01T00:00:00.000000000'],\n", - " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-317034f6-a27b-47a9-bd0b-d477ae600b61' class='xr-section-summary-in' type='checkbox' checked><label for='section-317034f6-a27b-47a9-bd0b-d477ae600b61' class='xr-section-summary' >Data variables: <span>(2)</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>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5af5b2ce-f384-4576-ba14-3ae6c55848cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5af5b2ce-f384-4576-ba14-3ae6c55848cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68372e4b-bad9-4cd2-a5f6-a2d1dbb2a268' class='xr-var-data-in' type='checkbox'><label for='data-68372e4b-bad9-4cd2-a5f6-a2d1dbb2a268' 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'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>[1248 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04d8e05d-ec3a-47da-99d9-e0bc40d9890d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04d8e05d-ec3a-47da-99d9-e0bc40d9890d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e690050-03e7-4129-a6b0-8f807d074657' class='xr-var-data-in' type='checkbox'><label for='data-3e690050-03e7-4129-a6b0-8f807d074657' 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'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8 42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[9996480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe69bc00-481a-484d-9739-b67573ce6956' class='xr-section-summary-in' type='checkbox' ><label for='section-fe69bc00-481a-484d-9739-b67573ce6956' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-faaf8a97-5b7a-4d75-a5c9-422029759e9a' class='xr-index-data-in' type='checkbox'/><label for='index-faaf8a97-5b7a-4d75-a5c9-422029759e9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 88.0, 86.0, 84.0, 82.0, 80.0, 78.0, 76.0, 74.0, 72.0,\n", + " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21e2d998-912a-4b2b-922b-5cf328c110de' class='xr-section-summary-in' type='checkbox' checked><label for='section-21e2d998-912a-4b2b-922b-5cf328c110de' class='xr-section-summary' >Data variables: <span>(2)</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>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e312316b-f460-4cda-b92d-ec1def9a42f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e312316b-f460-4cda-b92d-ec1def9a42f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c469ad2d-0dc0-4979-a8b3-35316a3217e0' class='xr-var-data-in' type='checkbox'><label for='data-c469ad2d-0dc0-4979-a8b3-35316a3217e0' 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'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>[1248 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11fa0d23-edea-4794-9d46-e29961a5263a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11fa0d23-edea-4794-9d46-e29961a5263a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-895cabfb-d4c4-4135-9044-74d9d9bab8e7' class='xr-var-data-in' type='checkbox'><label for='data-895cabfb-d4c4-4135-9044-74d9d9bab8e7' 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'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8 42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[9996480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b758896a-0afa-4f90-ade3-9ffa41c4d304' class='xr-section-summary-in' type='checkbox' ><label for='section-b758896a-0afa-4f90-ade3-9ffa41c4d304' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-603ec69e-ff36-4a44-8299-137afdf32a3c' class='xr-index-data-in' type='checkbox'/><label for='index-603ec69e-ff36-4a44-8299-137afdf32a3c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 88.0, 86.0, 84.0, 82.0, 80.0, 78.0, 76.0, 74.0, 72.0,\n", " 70.0, 68.0, 66.0, 64.0, 62.0, 60.0, 58.0, 56.0, 54.0,\n", " 52.0, 50.0, 48.0, 46.0, 44.0, 42.0, 40.0, 38.0, 36.0,\n", " 34.0, 32.0, 30.0, 28.0, 26.0, 24.0, 22.0, 20.0, 18.0,\n", @@ -461,19 +461,19 @@ " -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0, -52.0, -54.0,\n", " -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0, -72.0,\n", " -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],\n", - " dtype='float64', name='lat'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ffc6fd68-c0e2-4a9b-bcd5-fee7f4af6410' class='xr-index-data-in' type='checkbox'/><label for='index-ffc6fd68-c0e2-4a9b-bcd5-fee7f4af6410' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0,\n", + " dtype='float64', name='lat'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bbea7f43-1180-4025-907c-65db0e9df80f' class='xr-index-data-in' type='checkbox'/><label for='index-bbea7f43-1180-4025-907c-65db0e9df80f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0,\n", " 18.0,\n", " ...\n", " 340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0,\n", " 358.0],\n", - " dtype='float64', name='lon', length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7f761873-4cf7-433f-86ad-d605b6a6ff36' class='xr-index-data-in' type='checkbox'/><label for='index-7f761873-4cf7-433f-86ad-d605b6a6ff36' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['1970-01-01', '1970-02-01', '1970-03-01', '1970-04-01',\n", + " dtype='float64', name='lon', length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e7ba2f4-8bd2-46e0-b945-51a0a17adae2' class='xr-index-data-in' type='checkbox'/><label for='index-1e7ba2f4-8bd2-46e0-b945-51a0a17adae2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['1970-01-01', '1970-02-01', '1970-03-01', '1970-04-01',\n", " '1970-05-01', '1970-06-01', '1970-07-01', '1970-08-01',\n", " '1970-09-01', '1970-10-01',\n", " ...\n", " '2021-03-01', '2021-04-01', '2021-05-01', '2021-06-01',\n", " '2021-07-01', '2021-08-01', '2021-09-01', '2021-10-01',\n", " '2021-11-01', '2021-12-01'],\n", - " dtype='datetime64[ns]', name='time', length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08e3e699-62c1-45e5-b91d-a950a64b928b' class='xr-section-summary-in' type='checkbox' ><label for='section-08e3e699-62c1-45e5-b91d-a950a64b928b' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature ></dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI's ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div>" + " dtype='datetime64[ns]', name='time', length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b69c8d4-a4dc-42dc-8f89-75ebffd8fb92' class='xr-section-summary-in' type='checkbox' ><label for='section-8b69c8d4-a4dc-42dc-8f89-75ebffd8fb92' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature ></dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI's ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.Dataset>\n", @@ -532,7 +532,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: xesmf could not be loaded, reference NSIDC skipped.\n" + "ERROR: xesmf could not be imported, reference NSIDC skipped.\n" ] }, { @@ -582,8 +582,8 @@ " - ref=\"NSIDC\" (recommended): NSIDC new (as of 2023) definition (NSIDC Special report 25, figure 3)\n", "Returns a dictionary with names of the sectors as keys and a 2-items list of the bounding longitudes (E and W) for each sector.\n", "\n", - "V3: Includes the 'nsidc' definition.\n", - "\u001b[0;31mFile:\u001b[0m ~/Projects/MassBalance/src/tbxsectors.py\n", + "V0.3: Includes the 'nsidc' definition.\n", + "\u001b[0;31mFile:\u001b[0m ~/Projects/toolbox/src/tbxsectors.py\n", "\u001b[0;31mType:\u001b[0m function" ] } @@ -635,16 +635,16 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "<xarray.plot.facetgrid.FacetGrid at 0x7fb028293a00>" + "<xarray.plot.facetgrid.FacetGrid at 0x7f75f5999ab0>" ] }, - "execution_count": 12, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, @@ -670,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -679,7 +679,7 @@ "Text(0.5, 1.02, 'SST Anomalies for each Arctic Ocean sectors (Ã…rthun et al. 2021 definition)')" ] }, - "execution_count": 46, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, @@ -720,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -729,13 +729,13 @@ "Text(0.5, 1.02, 'SST Anomalies for each Southern Ocean sector (Raphael & Hobbs 2014 definition)')" ] }, - "execution_count": 45, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "<Figure size 1000x600 with 6 Axes>" ]