pySTEPS/pysteps: pysteps v1.2

Summary of main changes and new features:

• Code formatting and bug fixes
• Improve documentation and test coverage
• Implementation of advanced ARI/VARI time series models, including options for localization and differencing, as well as the estimation of the parameters by OLS
• Implementation of S-PROG and STEPS in the spectral domain for improved performance
• New importer for EUMETSAT SAF CRRI data
• Fix error during gcc installation in travis-ci for osx
• Compatibility fixes for Numpy 1.18 and pyproj 2.2.0
• Remove Basemap as optional dependency

Pysteps v1.2.0 changelog:

• cascade.decomposition:
  • add a method for recomposing the cascade
  • add option to normalize the cascade levels
  • make computation of the cascade level statistics (mean and std) optional
  • add options to choose the input and output domains: spatial or spectral
  • in addition, implement option to use compact output in the spectral domain
  • use lowercase names for the field and mask arguments
• cascade.interface:
  • modify get_method so that two functions are returned: one for decomposing and one for recomposing the cascade
• extrapolation.semilagrangian:
  • add option to specify arbitrary time steps
• motion.lucaskanade:
  • fix error when only one sparse vector is found
• noise.fftgenerators:
  • add option to choose the output domain for the noise: spatial or spectral
• nowcasts.sprog and nowcasts.steps:
  • add option to choose the domain for the computations: spatial or spectral
• nowcasts.utils:
  • remove computation of mean and std from stack_cascades
  • use utils.tapering module to compute window functions
• io.importers
  • add import_saf_crri importer
• timeseries.autoregression:
  • add VAR models
  • add OLS estimation of AR/VAR parameters
  • add localized estimation of AR/VAR parameters
  • add differencing option to compute integrated AR/VAR methods
  • use lowercase names for variables and revise docstrings
• timeseries.correlation:
  • add options for localization and differencing
  • add computation of correlation coefficients in the spectral domain
  • add method for the estimation of multivariate temporal autocorrelation
• travis:
  • run brew update-reset and brew update before installing gcc-9
• utils.spectral:
  • add methods for computing mean, standard deviation and correlation coefficient in the spectral domain
  • add option to normalize the RAPSD
• visualizations.basemaps
  • add future deprecation warning for Basemap dependency