## climetlab-wekeo_clms
A dataset plugin for climetlab for the CLMS datasets available on WEkEO.
For installation and usage instructions, please refer to [the documentation](https://climetlab-wekeo-clms.readthedocs.io/).
Features
--------
This plugin provides a simple access to CLMS datasets provided by WEkEO.
To narrow down the data to download, users can specify a start and an end date.
While it is not mandatory, the usage of Dask is recommended.
For usage examples, please refer to the [demo notebook](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)
## Datasets description
There are several datasets:
- cgls_continents_wb_v1_1km
- cgls_daily10_lst_dc_global_v1
- cgls_daily10_lst_dc_global_v2
- cgls_daily10_lst_tci_global_v1
- cgls_daily10_lst_tci_global_v2
- cgls_global_albh_v1_1km
- cgls_global_aldh_v1_1km
- cgls_global_ba300_v1_333m
- cgls_global_ba300_v3
- cgls_global_dmp_v2_1km
- cgls_global_dmp300_v1_333m
- cgls_global_fapar_v1_1km
- cgls_global_fapar_v2_1km
- cgls_global_fapar300_v1_333m
- cgls_global_fcover_v1_1km
- cgls_global_fcover_v2_1km
- cgls_global_fcover300_v1_333m
- cgls_global_gdmp_v2_1km
- cgls_global_gdmp300_v1_333m
- cgls_global_lai_v1_1km
- cgls_global_lai_v2_1km
- cgls_global_lai300_v1_333m
- cgls_global_ndvi_st
- cgls_global_ndvi_v2_1km_lts
- cgls_global_ndvi_v2_1km
- cgls_global_ndvi_v3_1km
- cgls_global_ndvi300_v1_333m
- cgls_global_ndvi300_v2_333m
- cgls_global_swi_static_v1_0_1degree
- cgls_global_swi10_v3_0_1degree
- cgls_global_wb300_v1_333m
- cgls_hourly_lst_global_v1
- cgls_hourly_lst_global_v2
The descriptions can be retrieved directly from [WEkEO](https://www.wekeo.eu/data)
## Using climetlab to access the data
See the [demo notebooks](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks)
[](https://mybinder.org/v2/gh/wekeo/climetlab-wekeo-clms/main?urlpath=lab)
- [demo_main.ipynb](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)
[](https://nbviewer.jupyter.org/github/wekeo/climetlab-wekeo-clms/blob/main/notebooks/demo_main.ipynb)
[](https://colab.research.google.com/github/wekeo/climetlab-wekeo-clms/blob/main/notebooks/demo_main.ipynb)
[](https://mybinder.org/v2/gh/wekeo/climetlab-wekeo-clms/main?filepath=notebooks/demo_main.ipynb)
[<img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg">](https://deepnote.com/launch?name=MyProject&url=https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)
The climetlab python package allows easy access to the data with a few lines of code such as:
``` python
!pip install climetlab climetlab-wekeo-clms
import climetlab as cml
ds = cml.load_dataset(
"wekeo-clms-cgls-hourly-lst-global-v2",
start="2021-01-18",
end="2021-01-19",
)
ds.to_xarray(xarray_open_mfdataset_kwargs={"chunks": "auto", "engine": "netcdf4"})
Support and contributing
------------------------
Please open a issue on github if this is a github repository.
LICENSE
-------
See the LICENSE file.
(C) Copyright 2023 European Centre for Medium-Range Weather Forecasts.
This software is licensed under the terms of the Apache Licence Version 2.0
which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
In applying this licence, ECMWF does not waive the privileges and immunities
granted to it by virtue of its status as an intergovernmental organisation
nor does it submit to any jurisdiction.
Authors
-------
Germano Guerrini and al.
See also the CONTRIBUTORS.md file.
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"description": "## climetlab-wekeo_clms\n\nA dataset plugin for climetlab for the CLMS datasets available on WEkEO.\n\nFor installation and usage instructions, please refer to [the documentation](https://climetlab-wekeo-clms.readthedocs.io/).\n\nFeatures\n--------\n\nThis plugin provides a simple access to CLMS datasets provided by WEkEO.\n\nTo narrow down the data to download, users can specify a start and an end date.\n\nWhile it is not mandatory, the usage of Dask is recommended.\n\nFor usage examples, please refer to the [demo notebook](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)\n\n## Datasets description\n\nThere are several datasets:\n\n- cgls_continents_wb_v1_1km\n- cgls_daily10_lst_dc_global_v1\n- cgls_daily10_lst_dc_global_v2\n- cgls_daily10_lst_tci_global_v1\n- cgls_daily10_lst_tci_global_v2\n- cgls_global_albh_v1_1km\n- cgls_global_aldh_v1_1km\n- cgls_global_ba300_v1_333m\n- cgls_global_ba300_v3\n- cgls_global_dmp_v2_1km\n- cgls_global_dmp300_v1_333m\n- cgls_global_fapar_v1_1km\n- cgls_global_fapar_v2_1km\n- cgls_global_fapar300_v1_333m\n- cgls_global_fcover_v1_1km\n- cgls_global_fcover_v2_1km\n- cgls_global_fcover300_v1_333m\n- cgls_global_gdmp_v2_1km\n- cgls_global_gdmp300_v1_333m\n- cgls_global_lai_v1_1km\n- cgls_global_lai_v2_1km\n- cgls_global_lai300_v1_333m\n- cgls_global_ndvi_st\n- cgls_global_ndvi_v2_1km_lts\n- cgls_global_ndvi_v2_1km\n- cgls_global_ndvi_v3_1km\n- cgls_global_ndvi300_v1_333m\n- cgls_global_ndvi300_v2_333m\n- cgls_global_swi_static_v1_0_1degree\n- cgls_global_swi10_v3_0_1degree\n- cgls_global_wb300_v1_333m\n- cgls_hourly_lst_global_v1\n- cgls_hourly_lst_global_v2\n\nThe descriptions can be retrieved directly from [WEkEO](https://www.wekeo.eu/data)\n\n## Using climetlab to access the data\n\nSee the [demo notebooks](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks)\n[](https://mybinder.org/v2/gh/wekeo/climetlab-wekeo-clms/main?urlpath=lab)\n\n\n- [demo_main.ipynb](https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)\n[](https://nbviewer.jupyter.org/github/wekeo/climetlab-wekeo-clms/blob/main/notebooks/demo_main.ipynb)\n[](https://colab.research.google.com/github/wekeo/climetlab-wekeo-clms/blob/main/notebooks/demo_main.ipynb)\n[](https://mybinder.org/v2/gh/wekeo/climetlab-wekeo-clms/main?filepath=notebooks/demo_main.ipynb)\n[<img src=\"https://deepnote.com/buttons/launch-in-deepnote-small.svg\">](https://deepnote.com/launch?name=MyProject&url=https://github.com/wekeo/climetlab-wekeo-clms/tree/main/notebooks/demo_main.ipynb)\n\n\nThe climetlab python package allows easy access to the data with a few lines of code such as:\n``` python\n\n!pip install climetlab climetlab-wekeo-clms\nimport climetlab as cml\nds = cml.load_dataset(\n \"wekeo-clms-cgls-hourly-lst-global-v2\",\n start=\"2021-01-18\",\n end=\"2021-01-19\",\n)\nds.to_xarray(xarray_open_mfdataset_kwargs={\"chunks\": \"auto\", \"engine\": \"netcdf4\"})\n\n\nSupport and contributing\n------------------------\n\nPlease open a issue on github if this is a github repository.\n\nLICENSE\n-------\n\nSee the LICENSE file.\n(C) Copyright 2023 European Centre for Medium-Range Weather Forecasts.\nThis software is licensed under the terms of the Apache Licence Version 2.0\nwhich can be obtained at http://www.apache.org/licenses/LICENSE-2.0.\nIn applying this licence, ECMWF does not waive the privileges and immunities\ngranted to it by virtue of its status as an intergovernmental organisation\nnor does it submit to any jurisdiction.\n\nAuthors\n-------\n\nGermano Guerrini and al.\n\nSee also the CONTRIBUTORS.md file.",
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