Using global reanalyses for permafrost simulation
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Updated
Jul 23, 2026 - Python
Using global reanalyses for permafrost simulation
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
A step-by-step guide used to compile the NOAA ARL era52arl program on Linux
Predicting winter lake mixed-layer temperature on Lake Superior from ERA5-Land climate reanalysis using multiple linear regression in R. Full workflow with AIC/BIC/Lasso selection, diagnostics, and grouped cross-validation (adjusted R2 ≈ 0.80).
ERA-5 climate data pipeline for WBGT index calculations (extract ZIP-.nc, merge, DataFrame export)
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