Statistical Downscaling of climate data

🌏 Statistical downscaling is a two-step process consisting of i) the development of statistical relationships between local climate variables (e.g., surface air temperature and precipitation) and large-scale predictors (e.g., pressure fields), and ii) the application of such relationships to the output of global climate model experiments to simulate local climate characteristics in the future.

✅Scripts for point-based time series and gridded datasets.

Author: Julio Montenegro Gambini, MSc.