Abstract
A sequential estimation approach is used for constraining GRACE monthly estimates of mass changes with observed hydrological data, which is available for 20% of the land area, in order to improve the overall quality of the GRACE dataset. It is expected that the hydrological data constrains GRACE by utilising the correlations within the spherical harmonic coefficients, which is described by a simulated covariance matrix. Due to the dependancy of the approach on the stochastic information of GRACE, the influence of different structures of the GRACE covariance matrix were also tested. Initial results show that the hydrology constraints replace GRACE completely in the constrained areas, and contribute only meagrely outside the constrained areas. This hints at better parametrization of the model. The tests with different structures of the GRACE covariance matrix indicate that the block-diagonal structure approximates the full covariance matrix very well.
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Acknowledgements
This work was carried out as part of the Direct Water Balance project funded by the Deutsche Forschungsgemeinschaft (DFG) sponsored Special Priority Programme, Mass transport and mass distribution in the Earth System (SPP 1257).
The authors thank two anonymous reviewers, whose comments helped improve the content of the manuscript considerably. The authors extend their thanks to GPCC, GRDC, and PO.DAAC (Physical Oceanography Distributed Active Archive Center) projects for providing precipitation, discharge, and CSR release 4 GRACE data, respectively.
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Devaraju, B., Sneeuw, N., Kindt, H., Riegger, J. (2010). Estimating GRACE Monthly Water Storage Change Consistent with Hydrology by Assimilating Hydrological Information. In: Mertikas, S. (eds) Gravity, Geoid and Earth Observation. International Association of Geodesy Symposia, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10634-7_80
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DOI: https://doi.org/10.1007/978-3-642-10634-7_80
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