# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors # # SPDX-License-Identifier: GPL-3.0-or-later """ Create cutouts with `atlite `_. For this rule to work you must have - installed the `Copernicus Climate Data Store `_ ``cdsapi`` package (`install with `pip``) and - registered and setup your CDS API key as described `on their website `_. .. seealso:: For details on the weather data read the `atlite documentation `_. If you need help specifically for creating cutouts `the corresponding section in the atlite documentation `_ should be helpful. Relevant Settings ----------------- .. code:: yaml atlite: nprocesses: cutouts: {cutout}: .. seealso:: Documentation of the configuration file ``config.yaml`` at :ref:`atlite_cf` Inputs ------ *None* Outputs ------- - ``cutouts/{cutout}``: weather data from either the `ERA5 `_ reanalysis weather dataset or `SARAH-2 `_ satellite-based historic weather data with the following structure: **ERA5 cutout:** =================== ========== ========== ========================================================= Field Dimensions Unit Description =================== ========== ========== ========================================================= pressure time, y, x Pa Surface pressure ------------------- ---------- ---------- --------------------------------------------------------- temperature time, y, x K Air temperature 2 meters above the surface. ------------------- ---------- ---------- --------------------------------------------------------- soil temperature time, y, x K Soil temperature between 1 meters and 3 meters depth (layer 4). ------------------- ---------- ---------- --------------------------------------------------------- influx_toa time, y, x Wm**-2 Top of Earth's atmosphere TOA incident solar radiation ------------------- ---------- ---------- --------------------------------------------------------- influx_direct time, y, x Wm**-2 Total sky direct solar radiation at surface ------------------- ---------- ---------- --------------------------------------------------------- runoff time, y, x m `Runoff `_ (volume per area) ------------------- ---------- ---------- --------------------------------------------------------- roughness y, x m Forecast surface roughness (`roughness length `_) ------------------- ---------- ---------- --------------------------------------------------------- height y, x m Surface elevation above sea level ------------------- ---------- ---------- --------------------------------------------------------- albedo time, y, x -- `Albedo `_ measure of diffuse reflection of solar radiation. Calculated from relation between surface solar radiation downwards (Jm**-2) and surface net solar radiation (Jm**-2). Takes values between 0 and 1. ------------------- ---------- ---------- --------------------------------------------------------- influx_diffuse time, y, x Wm**-2 Diffuse solar radiation at surface. Surface solar radiation downwards minus direct solar radiation. ------------------- ---------- ---------- --------------------------------------------------------- wnd100m time, y, x ms**-1 Wind speeds at 100 meters (regardless of direction) =================== ========== ========== ========================================================= .. image:: ../img/era5.png :scale: 40 % A **SARAH-2 cutout** can be used to amend the fields ``temperature``, ``influx_toa``, ``influx_direct``, ``albedo``, ``influx_diffuse`` of ERA5 using satellite-based radiation observations. .. image:: ../img/sarah.png :scale: 40 % Description ----------- """ import logging from _helpers import configure_logging import os import atlite logger = logging.getLogger(__name__) if __name__ == "__main__": if 'snakemake' not in globals(): from _helpers import mock_snakemake snakemake = mock_snakemake('build_cutout', cutout='europe-2013-era5') configure_logging(snakemake) cutout_params = snakemake.config['atlite']['cutouts'][snakemake.wildcards.cutout] for p in ('xs', 'ys', 'years', 'months'): if p in cutout_params: cutout_params[p] = slice(*cutout_params[p]) cutout = atlite.Cutout(snakemake.wildcards.cutout, cutout_dir=os.path.dirname(snakemake.output[0]), **cutout_params) nprocesses = snakemake.config['atlite'].get('nprocesses', 4) cutout.prepare(nprocesses=nprocesses)