Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1531-2023
https://doi.org/10.5194/hess-27-1531-2023
Research article
 | 
14 Apr 2023
Research article |  | 14 Apr 2023

Diagnosing modeling errors in global terrestrial water storage interannual variability

Hoontaek Lee, Martin Jung, Nuno Carvalhais, Tina Trautmann, Basil Kraft, Markus Reichstein, Matthias Forkel, and Sujan Koirala

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Short summary
We spatially attribute the variance in global terrestrial water storage (TWS) interannual variability (IAV) and its modeling error with two data-driven hydrological models. We find error hotspot regions that show a disproportionately large significance in the global mismatch and the association of the error regions with a smaller-scale lateral convergence of water. Our findings imply that TWS IAV modeling can be efficiently improved by focusing on model representations for the error hotspots.