64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
# SPDX-FileCopyrightText: : 2022 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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"""
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Transforms the global ship density data from https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density to the size of the considered cutout. The global ship density raster is later used for the exclusion when calculating the offshore potentials.
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Relevant Settings
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-----------------
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.. code:: yaml
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renewable:
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{technology}:
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cutout:
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.. seealso::
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Documentation of the configuration file ``config.yaml`` at
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:ref:`renewable_cf`
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Inputs
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------
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- ``data/bundle/shipdensity/shipdensity_global.zip``: `Global ship density from <https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density>`.
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Outputs
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-------
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- ``resources/europe_shipdensity_raster.nc``: Reduced version of `Global ship density from <https://datacatalog.worldbank.org/search/dataset/0037580/` to reduce computation time.
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Description
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-----------
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"""
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import logging
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from _helpers import configure_logging
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from build_natura_raster import determine_cutout_xXyY
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import zipfile
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import xarray as xr
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import os
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logger = logging.getLogger(__name__)
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if __name__ == "__main__":
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if 'snakemake' not in globals():
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from _helpers import mock_snakemake
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snakemake = mock_snakemake('build_ship_raster')
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configure_logging(snakemake)
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cutouts = snakemake.input.cutouts
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xs, Xs, ys, Ys = zip(*(determine_cutout_xXyY(cutout) for cutout in cutouts))
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with zipfile.ZipFile(snakemake.input.ship_density) as zip_f:
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zip_f.extract("shipdensity_global.tif")
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ship_density = xr.open_rasterio("shipdensity_global.tif")
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os.remove("shipdensity_global.tif")
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ship_density = ship_density.drop(["band"]).sel(x=slice(min(xs),max(Xs)), y=slice(max(Ys),min(ys)))
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ship_density.to_netcdf(snakemake.output[0])
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