Extended Data Fig. 5: The ensemble reconstruction based on the Random Forest model skillfully predicts the variability and trends in out-of-sample in situ snowpack data.
From: Evidence of human influence on Northern Hemisphere snow loss
R2 (a) and RMSE (b) of Random Forest model predictions of in situ March SWE at 2,961 locations over the period 1981–2020. Insets show the distribution of skill across sites, with the red line and value indicating the median. Observed (c) and reconstructed (d) 1981–2020 March SWE trends. c, Scatterplot of reconstructed versus observed trends, where each dot represents an in situ location. Points are colored by their density. Dashed line denotes perfect agreement between reconstructed and observed trends. Pearson’s correlation is shown in bottom right corner. Maps were generated using cartopy v0.18.0.
