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Water budget analysis within the surrounding of prominent lakes and reservoirs from multi-sensor earth observation data and hydrological models

  • 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 storageThe 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.show moreshow less

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Metadaten
Author:Alka Singh, Florian Seitz, Annette Eicker, Andreas GüntnerORCiDGND
URN:urn:nbn:de:kobv:517-opus4-407902
Parent Title (English):remote sensing
Subtitle (English):case studies of the Aral Sea and Lake Mead
Series (Serial Number):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (453)
Document Type:Postprint
Language:English
Date of first Publication:2018/06/28
Year of Completion:2016
Publishing Institution:Universität Potsdam
Release Date:2018/06/28
Tag:Aral Sea; GLDAS; GRACE; Lake Mead; WGHM; reservoir; water budget; water fluxes
Pagenumber:21
Source:MDPI Remote sensing (2016) Vol. 8(11), Art. 953 ; DOI: 10.3390/rs8110953
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Peer Review:Referiert
Publication Way:Open Access
Grantor:Multidisciplinary Digital Publishing Institute (MDPI)
Licence (German):License LogoCreative Commons - Namensnennung, 4.0 International