pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information - Boateng, Daniel; Mutz, Sebastian G. (Geoscientific Model Development, 2023)
Keywords: Algorithms; Climate change; Climate models; Complexity; Computation; Environmental impact; Future climates; General circulation models; Generalized linear models; Glaciers; Impact assessment; Machine learning; Mathematical models; Mitigation; Modelling; Objective function; Open source software; Optimization; Precipitation; Reproducibility; Software; Software packages; Statistical analysis; Statistical tests; Trends; Variables; Visualization; Weather stations; Wind speed