SPEI (R package)
Open Source
The reference R implementation of SPEI and SPI from the index's own authors.
downscaleR
StableStatistical downscaling and bias correction of climate projections in R — part of the climate4R framework.
by Santander Meteorology Group
- Pricing
- Open Source
- License
- GPL-3.0
- Commercial use
- Permitted
- Ecosystem
- R, climate4R
- Platform
- Windows, macOS, Linux
About downscaleR
downscaleR, from the Santander Meteorology Group's climate4R framework, implements the established statistical downscaling toolbox: bias correction (quantile mapping variants), perfect-prognosis methods (analogs, regression, generalised linear models), and the validation machinery to prove your downscaled scenarios are fit for purpose. It contributed to the VALUE intercomparison that benchmarked these methods for Europe.
For engineers, this is the documented route from coarse GCM output to catchment-scale forcing you can defend in a design report — with companion packages (loadeR, visualizeR) handling data access and visualisation within the same framework.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
Alternatives to downscaleR
Ranked by the topics, categories and workflow stages they share with downscaleR.
SWMM-CAT
Gov-Public
EPA's Climate Adjustment Tool for SWMM — apply downscaled climate projections to rainfall and evaporation inputs.
WEAP
Freemium
Integrated water resources planning and policy analysis framework for basin-scale supply and demand modeling.
xclim
Open Source
Climate indices and bias adjustment on xarray — the operational-grade library for climate-data engineering.
NEOPRENE
Open Source
Neyman-Scott stochastic rainfall generation in Python — synthetic series and disaggregation, single or multi-site.
VIC
Open Source
The Variable Infiltration Capacity model — macroscale land-surface hydrology for big basins and climate studies.