Unlock the full potential of Earth Observation data with the CliMetLab WEkEO Plugins and xcube
WEkEO continues to expand its value offer as new tools are made available on its platform. Users will now be able to take advantage of WEkEO Plugins for CliMetLab and the xcube Python package. Combined, these tools enable facilitated access to Copernicus data and provide new ways to visualise and interact with multiple datasets at once.
Focus on your project, not the technical hurdles: take advantage of the CliMetLab WEkEO Plugins...
CliMetLab WEkEO Plugins will help users overcome the complexities created by data formats originating from different source endpoints and focus on their research with simplified access to climate and meteorological datasets.
Through the CliMetLab's wrapper functions, WEkEO users are empowered to access data from the Copernicus Land, Marine, Climate Change, Emergency and Atmosphere services and seamlessly conduct data analysis through familiar tools like Xarray, without the need to configure WEkEO’s Harmonised Data Access (HDA), specify requests and manage downloaded files in the directory.
WEkEO’s Jupyter Catalogue features an introductory guide to the CliMetLab WEkEO Plugins. Specific documentation on each thematic plugin developed can be found on the page below:
The CliMetLab WEkEO Plugins can be accessed from the Python Package Index (PyPI) and installed within Python environments using the 'pip' package manager. CliMetLab is a Python package designed by the European Centre for Medium-Range Weather Forecasts (ECMWF) to provide high-level unified access to climate and meteorological datasets.
...and the xcube Viewer App
The manipulation and visualisation of data acquired through the CliMetLab WEkEO Plugins is further streamlined thanks to the xcube Viewer App, now integrated into WEkEO’s Virtual Machines (VMs). xcube is an open-source Python package used to convert Earth Observation data into self-contained data cubes. The software is expanded and maintained by Brockmann Consult GmbH.
This Jupyter notebook provides a simple step-by-step guide to downloading data from different Copernicus services with the CilMetLab WEkEO plugins, creating compatible data cubes and visualising them through the xcube Viewer.
In the example shown in the tutorial, xcube-compatible data cubes are obtained from Copernicus Land Monitoring Service (CLMS) and Copernicus Climate Change Service (C3S) datasets previously downloaded and transformed to xarray using the CilMetLab WEkEO plugin.
Try out the new tools! You can access and interact with a wide range of datasets through the WEkEO Data Viewer and the Jupyter Notebooks Catalogue.
Additional Resources
Learn more on CliMetLab
Learn more on xcube
- Learn more on the Jupyter Catalogue