# 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
logger = logging.getLogger(__name__)
from _helpers import configure_logging
import os
import atlite
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)
cutout.prepare(nprocesses=snakemake.config['atlite'].get('nprocesses', 4))