Notebooks

Interactive Jupyter notebooks demonstrating the main features of healpix-analyse.

• convert ERA5 data into healpix using ALM
• comput div,curl from u,v field
• Data from tina notebook’s S2
• Test with S2 l2a
• RWRAP round-trip test
• Local FFT geometry and round trip
• Local FFT on Sentinel-2
• Large receptive-field convolution
• FFT large-kernel convolution
• HealPixDecomp: local multiscale decomposition
• get DATA
• Global-to-local validation of multiscale HEALPix divergence and curl
• Physical spectral divergence and curl