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

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.

[1]  Matthew Rodell,et al.  Groundwater Storage Changes: Present Status from GRACE Observations , 2016, Surveys in Geophysics.

[2]  Robinson I. Negrón Juárez,et al.  Comparison of Precipitation Datasets over the Tropical South American and African Continents , 2009 .

[3]  J. Kusche,et al.  Comparisons of atmospheric data and reduction methods for the analysis of satellite gravimetry observations , 2013 .

[4]  J. Wahr,et al.  Computations of the viscoelastic response of a 3-D compressible Earth to surface loading: an application to Glacial Isostatic Adjustment in Antarctica and Canada , 2012 .

[5]  K. Moffett,et al.  Remote Sens , 2015 .

[6]  S. Calmant,et al.  Large‐scale hydrologic and hydrodynamic modeling of the Amazon River basin , 2013 .

[7]  P. Micklin,et al.  Aral Sea: Water level, salinity and long-term changes in biological communities of an endangered ecosystem-past, present and future , 2009 .

[8]  Javier Tomasella,et al.  Satellite-based estimates of groundwater storage variations in large drainage basins with extensive floodplains , 2011 .

[9]  D. Chambers,et al.  Estimating Geocenter Variations from a Combination of GRACE and Ocean Model Output , 2008 .

[10]  Dong-Bin Shin,et al.  Agreement between monthly precipitation estimates from TRMM satellite, NCEP reanalysis, and merged gauge-satellite analysis , 2011 .

[11]  Wim G.M. Bastiaanssen,et al.  Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data , 2013 .

[12]  Muddu Sekhar,et al.  Satellite-derived surface and sub-surface water storage in the Ganges–Brahmaputra River Basin , 2015 .

[13]  Brian C. Gunter,et al.  Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin , 2014 .

[14]  S. Swenson,et al.  A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois , 2006 .

[15]  B. Scanlon,et al.  Comparison of seasonal terrestrial water storage variations from GRACE with groundwater‐level measurements from the High Plains Aquifer (USA) , 2007 .

[16]  S. Swenson,et al.  Satellites measure recent rates of groundwater depletion in California's Central Valley , 2011 .

[17]  J. Famiglietti,et al.  Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE , 2007 .

[18]  Martina Flörke,et al.  Modelling the impact of Global Change on the hydrological system of the Aral Sea basin , 2011 .

[19]  S. Abelen,et al.  Relating satellite gravimetry data to global soil moisture products via data harmonization and correlation analysis , 2013 .

[20]  F. Giorgi,et al.  The Effects of Desiccation and Climatic Change on the Hydrology of the Aral Sea , 2001 .

[21]  Tong Xiao,et al.  An Automated Method for Extracting Rivers and Lakes from Landsat Imagery , 2014, Remote. Sens..

[22]  M. Cheng,et al.  Deceleration in the Earth's oblateness , 2013 .

[23]  Dennis P. Lettenmaier,et al.  On the contribution of groundwater storage to interannual streamflow anomalies in the Colorado River basin , 2012 .

[24]  J. Kusche,et al.  Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data , 2014 .

[25]  Bridget R. Scanlon,et al.  GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage , 2012 .

[26]  Zizhan Zhang,et al.  Long-Term Groundwater Variations in Northwest India From Satellite Gravity Measurements , 2014 .

[27]  Christian Schwatke,et al.  Application of Multi-Sensor Satellite Data to Observe Water Storage Variations , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[28]  M. Watkins,et al.  Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons , 2015 .

[29]  Jean-François Crétaux,et al.  History of Aral Sea level variability and current scientific debates , 2013 .

[30]  Charles J Vörösmarty,et al.  Widespread decline in hydrological monitoring threatens Pan-Arctic Research , 2002 .

[31]  P. Döll,et al.  A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .

[32]  B. Scanlon,et al.  Global analysis of approaches for deriving total water storage changes from GRACE satellites , 2015 .

[33]  J. Kusche,et al.  Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results , 2013, Surveys in Geophysics.

[34]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[35]  Xungang Yin,et al.  Comparison of the GPCP and CMAP Merged Gauge-Satellite Monthly Precipitation Products for the Period 1979-2001 , 2004 .

[36]  Matthew Rodell,et al.  Groundwater depletion during drought threatens future water security of the Colorado River Basin , 2014, Geophysical research letters.

[37]  Seiji Hayashi,et al.  Measuring Water Storage Fluctuations in Lake Dongting, China, by Topex/Poseidon Satellite Altimetry , 2006, Environmental monitoring and assessment.

[38]  John Wahr,et al.  Monitoring the water balance of Lake Victoria, East Africa, from space. , 2009 .

[39]  P. Döll,et al.  Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration , 2014 .

[40]  F. Giorgi,et al.  Simulating the water balance of the Aral Sea with a coupled regional climate-lake model , 1999 .

[41]  S. Swenson,et al.  Quantifying renewable groundwater stress with GRACE , 2015, Water resources research.

[42]  C. Prigent,et al.  Inundated wetland dynamics over boreal regions from remote sensing: the use of Topex‐Poseidon dual‐frequency radar altimeter observations , 2006 .

[43]  J. Kusche,et al.  Covariance Analysis and Sensitivity Studies for GRACE Assimilation into WGHM , 2015 .

[44]  Peter H. Gleick,et al.  Water in crisis: a guide to the world's fresh water resources , 1993 .

[45]  B. Rajagopalan,et al.  Comment on “When will Lake Mead go dry?” by T. P. Barnett and D. W. Pierce , 2009 .

[46]  Paul D. Bates,et al.  Tracking water level changes of the Amazon Basin with space-borne remote sensing and integration with large scale hydrodynamic modelling: A review , 2010 .

[47]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[48]  C. K. Shum,et al.  Signals of extreme weather conditions in Central Europe in GRACE 4-D hydrological mass variations , 2008 .

[49]  Jean-François Crétaux,et al.  Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations , 2010 .

[50]  Alka Singh,et al.  Remote Sensing of Storage Fluctuations of Poorly Gauged Reservoirs and State Space Model (SSM)-Based Estimation , 2015, Remote. Sens..