Tracking seasonal fluctuations in land water storage using global models and GRACE satellites

Here we compare seasonal changes in land total water storage anomalies using seven global hydrologic and land surface models (WGHM, PCR-GLOBWB, and five GLDAS models) to GRACE satellite data in 183 river basins globally. This work builds on previous analysis that focused on total water storage anomaly trends.

Results show that most models underestimate seasonal water storage amplitudes in tropical and (semi)arid basins and land surface models generally overestimate amplitudes in northern basins. Some models (CLM-5.0 and PCR-GLOBWB) agree better with GRACE than others. Causes of model-GRACE discrepancies are attributed to missing storage compartments (e.g., surface water and/or groundwater) and underestimation of modeled storage capacities in tropical basins and to variations in modeled fluxes in northern basins.