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v1.5.0

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@emanuel-schmid emanuel-schmid released this 22 Sep 08:59
· 2229 commits to main since this release

changed environment

Many external dependencies had to be updated or added, among others:

  • numpy: 1.16 > 1.19
  • pandas: 0.24 > 1.0
  • gdal: 2.3 > 3.0
  • matplotlib: 3.1 > 3.2
  • rasterio: 1.0 > 1.1
  • xarray: 0.12 > 0.13
  • netcdf4: 1.4 >1.5

⚠️ If you are upgrading from a previous version, updating the conda environment will likely fail. Please create a new conda environment instead. See the docs on installing CLIMADA.

new features:

  • module river_flood
  • modules relative_cropyield and crop_potential, classes RelativeCropyield (Hazard) and CropProduction (Exposure): assess climate impacts on agricultural crop yields (rice, maize, wheat, soy) based on global gridded crop model runs from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), e.g. ISIMIP2b, combined with crop statistics from FAOSTAT.
  • module low_flow, class LowFlow (hazard): assess climate change impacts on surface water discharge (river low flow) based on hydrological model runs from ISIMIP.
  • module climada.engine.impact_data: Functions to read reported impact data from The International Disaster Database EM-DAT and load into a CLIMADA Impact instance.
  • class climada.entity.impact_funcs.trop_cyclone.IFSTropCyclone: regionally calibrated impact function set for TC wind (based on Eberenz et al., in review; c.f. climada_papers)

minor changes:

  • module trop_cyclone :use statistical estimate as a fallback only if radius information is missing from the reported data
  • module util.constants :add NATEARTH_CENTROIDS_150AS and NATEARTH_CENTROIDS_360AS datasets
  • module util.coordinates : method get_country_code has mapping of disputed areas to values above 900
  • module util.coordinates : new method get_isimip_gridpoints()
  • class hazard.tc_tracks.TCTracks: new fields bounds and extent, new method subset
  • class hazard.centroids.Centroids: new method from_geodataframe(), new optional parameter extent in select()