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Remote Sens. 2016, 8(11), 953; doi:10.3390/rs8110953

Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead

1
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM), Technische Universität München, Arcisstr. 21, Munich 80333, Germany
2
HafenCity Universität, Überseeallee 16, Hamburg 20457, Germany
3
Helmholtz Center Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam 14473, Germany
4
Institute of Earth and Environmental Science, University of Potsdam, Potsdam 14476, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Qiusheng Wu, Charles Lane, Melanie Vanderhoof, Chunqiao Song, Magaly Koch, Richard Gloaguen and Prasad S. Thenkabail
Received: 22 August 2016 / Revised: 20 October 2016 / Accepted: 8 November 2016 / Published: 16 November 2016
(This article belongs to the Special Issue Remote Sensing of Climate Change and Water Resources)
View Full-Text   |   Download PDF [5264 KB, uploaded 16 November 2016]   |  

Abstract

The hydrological budget of a region is determined based on the horizontal and vertical water fluxes acting in both inward and outward directions. These integrated water fluxes vary, altering the total water storage and consequently the gravitational force of the region. The time-dependent gravitational field can be observed through the Gravity Recovery and Climate Experiment (GRACE) gravimetric satellite mission, provided that the mass variation is above the sensitivity of GRACE. This study evaluates mass changes in prominent reservoir regions through three independent approaches viz. fluxes, storages, and gravity, by combining remote sensing products, in-situ data and hydrological model outputs using WaterGAP Global Hydrological Model (WGHM) and Global Land Data Assimilation System (GLDAS). The results show that the dynamics revealed by the GRACE signal can be better explored by a hybrid method, which combines remote sensing-based reservoir volume estimates with hydrological model outputs, than by exclusive model-based storage estimates. For the given arid/semi-arid regions, GLDAS based storage estimations perform better than WGHM. View Full-Text
Keywords: GRACE; water budget; reservoir; water fluxes; GLDAS; WGHM; Aral Sea; Lake Mead GRACE; water budget; reservoir; water fluxes; GLDAS; WGHM; Aral Sea; Lake Mead
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Singh, A.; Seitz, F.; Eicker, A.; Güntner, A. Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead. Remote Sens. 2016, 8, 953.

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