pySTEPS/pysteps: pysteps v1.5.0

Pysteps v1.5.0 is now available with some exciting new features! We would like to thank everyone who contributed to this release.

• Add new ensemble nowcast model: Lagrangian INtegro-Difference equation model with Autoregression (LINDA) by Pulkkinen et al. (2021). [#221, gallery]
• Implement the local Lagrangian approach for probabilistic nowcasting by Germann and Zawadzki (2004). [#207, gallery]
• Refactor the utils.interpolate module. The rbfinterp2d method now wraps the scipy's Rbf class, while the old version is renamed to idwinterp2d (inverse distance interpolation). [#210]
• Implement the max_num_features keyword argument for all methods in the pysteps.feature module. With this argument, the user can specify the maximum number of detected features. [#225]

• Fix a bug in utils.spectral.rapsd function causing negative frequency for evenly-sized images. [#211]
• Fix coordinates of the bounding box in io.importers.import_mrms_grib. [#222]

You can upgrade to the latest release using pip install pysteps –upgrade or 'conda update pysteps`. It is also possible to build from source following these instructions.

This release represents our last feature release for pysteps v1, while our efforts will now focus on the upcoming v2! See #216 to learn more about this.

Thanks to the following developers for their contributions in this release (alphabetical order): @aperezhortal, @dnerini, @loforest, @pulkkins, @RubenImhoff