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xradar
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Xradar is a Python package that allows you to import and export weather radar data in various formats, such as CfRadial and ODIM_H5. It also supports data transformation, georeferencing, and angle reindexing using xarray data model.
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Xradar Xradar is a Python package developed to streamline the reading and writing of radar data across various formats, with exports aligned to standards like ODIM_H5 and CfRadial. Born from the Open Radar Science Community's collaboration at ERAD2022, Xradar uses an xarray-based data model, compatible with the upcoming CfRadial2.1/FM301 ...
Top-level documentation for xradar, with links to the rest of the site.
Xradar includes all the tools to get your weather radar into the xarray data model.
Within xradar, we have a collection of xarray backends, which enable us to read a variety of radar data formats using xarray! In this case, we are reading cfradial1 data, which follows the data structure described above.
xradar is a library that allows users to import, explore, and plot radar data from various formats and sources. Learn how to use xradar with jupyter notebooks, examples, and documentation.
Xradar offers a georeference submodule, which utilizes the Azimuthal Equadistant Area projection to transform the data from distance around the radar to a projection.
Radarx is a Python library built for radar data processing and visualization. The library integrates tightly with xradar and leverages xarray and DataTree structures to enable easy and efficient manipulation of radar sweeps and volume data.
Radarx leverages xradar to handle radar file formats and integrates smoothly with xarray and DataTree for organizing and analyzing radar data. Xradar Integration # Radarx makes use of the powerful xradar library for radar data ingestion and format handling.