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Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications

Authors
/persons/resource/jzhang

Zhang,  L.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dobslaw

Dobslaw,  H.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/mthomas

Thomas,  M.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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1551892.pdf
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Citation

Zhang, L., Dobslaw, H., Thomas, M. (2016): Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications. - Geophysical Journal International, 206, 1, 368-378.
https://doi.org/10.1093/gji/ggw153


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1551892
Abstract
Globally gridded estimates of monthly-mean anomalies of terrestrial water storage (TWS) are estimated from the most recent GRACE release 05a of GFZ Potsdam in order to provide non-geodetic users a convenient access to state-of-the-art GRACE monitoring data. We use an ensemble of five global land model simulations with different physics and different atmospheric forcing to obtain reliable gridded scaling factors required to correct for spatial leakage introduced during data processing. To allow for the application of this data-set for large-scale monitoring tasks, model validation efforts, and subsequently also data assimilation experiments, globally gridded estimates of TWS uncertainties that include (i) measurement, (ii) leakage and (iii) re-scaling errors are provided as well. The results are generally consistent with the gridded data provided by Tellus, but deviate in some basins which are largely affected by the uncertainties of the model information required for re-scaling, where the approach based on the median of a small ensemble of global land models introduced in this paper leads to more robust results.