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Insights from GRACE data assimilation in the presence of heatwaves using two different hydrological models over Europe

Authors

Ewerdwalbesloh,  Yorck
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Springer,  Anne
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Schulze,  Kerstin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Sivaprasad,  Visakh
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Gerdener,  Helena
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kusche,  Jürgen
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Montzka,  Carsten
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Ewerdwalbesloh, Y., Springer, A., Schulze, K., Sivaprasad, V., Gerdener, H., Kusche, J., Montzka, C. (2023): Insights from GRACE data assimilation in the presence of heatwaves using two different hydrological models over Europe, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2446


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018306
Abstract
Geodetic measurement techniques provide valuable information for constraining Earth system models towards reality. Assimilating satellite gravity observations measured by GRACE/-FO into hydrological models helps to improve simulations of modeled water storages and fluxes, to overcome deficits resulting from simplifications or processes that are not considered in the model, and to disaggregate GRACE/-FO observations temporally and spatially. However, the best way to assimilate those observations is still a matter of research, often depending on the application. Especially an adequate data assimilation strategy needs to be developed in order to capture extreme events such as heatwaves if the simulations should be of use for European scale water monitoring. Within the Collaborative Research Centre CRC1502, we want to develop a coupled multi-scale, multi-source data assimilation system. In this study, we asses the impact of GRACE/-FO data assimilation over Europe on two different hydrological models: the high-resolution land-surface model CLM3.5 (Community Land Model) at a 12 km and the global conceptual model WGHM (WaterGAP Global Hydrology Model) at a 50 km grid scale. For both models, data assimilation experiments are performed with consistent settings regarding observations and assimilation algorithms. We evaluate simulations of both models by comparing against independent observations such as discharge from river gauges and satellite derived soil moisture. By setting the focus of our analysis on heatwaves, we are able to investigate how these are captured by the models both with and without data assimilation. Finally, we conclude on the consequences of our study for future data assimilation experiments using satellite gravimetry.