NEOPRENE
Open Source
Neyman-Scott stochastic rainfall generation in Python — synthetic series and disaggregation, single or multi-site.
7 tools · Category
Climate & Change Analysis
Design assumptions built on a stationary climate no longer hold, and a new generation of tools has emerged to deal with it: climate-projection access layers, statistical downscaling packages, non-stationary frequency analysis and drought/heat indices. This category indexes the tools engineers and hydrologists use to bring climate change into practical design — not climate science for its own sake, but change analysis you can defend in a design report.
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SPEI (R package)
Open Source
The reference R implementation of SPEI and SPI from the index's own authors.
SWMM-CAT
Gov-Public
EPA's Climate Adjustment Tool for SWMM — apply downscaled climate projections to rainfall and evaporation inputs.
Programmatic access to ERA5 and the Copernicus Climate Data Store — the world's reanalysis workhorse.
climate_indices
Open Source
Reference Python implementations of SPI, SPEI and Palmer indices for drought monitoring.
downscaleR
Open Source
Statistical downscaling and bias correction of climate projections in R — part of the climate4R framework.
xclim
Open Source
Climate indices and bias adjustment on xarray — the operational-grade library for climate-data engineering.