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CliMetLab, a Python package from ECMWF, now incorporates the WEkEO Plugin for simplified access to an extended range of Copernicus service datasets. This integration streamlines the process by automatically configuring the WEkEO HDA, eliminating the need for manual monitoring of jobs and downloads.
CliMetLab enhances data management by storing and managing datasets in a cache, supporting various data formats, and enabling direct conversion to xarray datasets. With just two lines of code, users can effortlessly access and transform WEkEO datasets.
This article serves as a concise guide on installing the Plugin for seamless utilization. πͺ
How to install CliMetLab in a Jupyter Environment?
There are three modules you need to download to use CliMetLab WEkEO Plugin.
Installation of mandatory plugins
CliMetLab Plugin
This is the original plugin, which brings all the convenient functions to handle different formats and the management of files. It can be installed using pip
:
pip install climetlab
WEkEO Source Plugin
This plugin makes sure that CliMetLab can communicate with the WEkEO Harmonized Data Access (HDA) to download the queried datasets. It is also available on pip
:
pip install climetlab-wekeo-source
WEkEO Datastores Plugin
This plugin contains all the information on the datasets accessible via ClimetLab:
pip install climetlab-wekeo-datasets
Import the CliMetLab Plugin
After installation of the three mandatory plugins, you are able to import CliMetLab to the notebook environment:
import climetlab
What's next?
Feel free to check these articles that might be of interest for you:
Several articles are available in the WEkEO Help Center, but if you have any questions, issues or suggestions, feel free to contact us through a chat session available in the bottom right corner of the page.