Learning from model failure: insights from an AI/SHAP-based temporal error decomposition of tracer-aided ecohydrological modelling
Hyekyeng Jung, C. Soulsby, C. Birkel et al.
· 0 citations
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Open access
Aug 2026
High‐Resolution Regional Atmospheric Simulation of Precipitation and Isotopes in Central America
With advances in global and regional circulation models, the high‐resolution simulation of atmospheric variables has become increasingly feasible. In this study, we use IsoRSM, an isotope‐enabled regional spectral model, to improve the simulation of precipitation and its isotopic composition over tropical Costa Rica, w...
Yan Yang, C. Birkel, C. Soulsby et al.
· Journal of Geophysical Resea... · 0 citations
Open access
Sep 2026
Development of a New Generic AI Model for Spatio‐Temporal Prediction of Soil Moisture and Soil Water Isotopes
A data‐driven Artificial Intelligence approach was applied in a first attempt to simulate daily soil moisture and soil water isotopes across soil profiles of a mixed land use catchment using parsimonious climate and vegetation predictors, outperforming a process‐based model previously applied in the catchment.
Hyekyeng Jung, D. Tetzlaff, Kristina Yordanova et al.
· Water Resources Research · 0 citations