Spatial How-tos

This section contains how-to guides for working with spatial data from ERA5 using earthkit-transforms. Each guide is an interactive Jupyter notebook that demonstrates a specific workflow for working with ERA5 data and performing spatial transformations. The examples cover various aspects of spatial data processing, including masking data with geometries, calculating area means, and working with spatial subsets of data.

• Mask Gridded Data with Geometry Data
• Calculate the spatial mean of gridded data over geometry data
• Calculate the spatial mean of gridded data over an area/bounding box