Research Object Crate for Pangeo 101 for everyone - introduction to Xarray

Abstract CWL Automatically generated from the Galaxy workflow file: GTN 'Pangeo 101 for everyone - Introduction to Xarray'. In this tutorial, we analyze particle matter < 2.5 μm/m3 data from Copernicus Atmosphere Monitoring Service to understand Xarray Galaxy Tools: - Understand how an Xarray dataset is organized; - Get metadata from Xarray dataset such as variable names, units, coordinates (latitude, longitude, level), etc; - Plot an Xarray dataset on a geographical map and learn to customize it; - Select/Subset an Xarray dataset from coordinates values such as time selection or a subset over a geographical area; - Mask an Xarray dataset with a Where statement, for instance to only see PM2.5 > 30 μm/m and highlight on a map regions with "high" values; - Convert an Xarray dataset to Tabular data (pandas dataframe); - Plot tabular data to visualize the forecast PM2.5 over a single point (here Naples) using a scatterplot and/or climate stripes.

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MIT

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