Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin

(1) Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands (n.tangdamrongsub@tudelft.nl), (2) Water Resources Management, Delft University of Technology, Delft, The Netherlands, (3) School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, The United States, (4) Operational Water Management, Deltares, Delft, The Netherlands, (5) Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands

[1]  Hubert H. G. Savenije,et al.  A Comparison of Global and Regional GRACE Models for Land Hydrology , 2008 .

[2]  P. Tregoning,et al.  Assessment of GRACE satellites for groundwater estimation in Australia , 2012 .

[3]  S. Bettadpur.  Insights into the Earth System mass variability from CSR-RL05 GRACE gravity fields , 2012 .

[4]  M. Cheng,et al.  Variations in the Earth's oblateness during the past 28 years , 2004 .

[5]  J. Maréchal,et al.  Projected impacts of climate change on farmers' extraction of groundwater from crystalline aquifers in South India , 2014, Scientific reports.

[6]  B. Forman,et al.  The spatial scale of model errors and assimilated retrievals in a terrestrial water storage assimilation system , 2013 .

[7]  Praveen Kumar,et al.  A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .

[8]  Yann Kerr,et al.  Soil Moisture , 1922, Botanical Gazette.

[9]  Assefa M. Melesse,et al.  Global Daily Reference Evapotranspiration Modeling and Evaluation 1 , 2008 .

[10]  F. Landerer,et al.  Accuracy of scaled GRACE terrestrial water storage estimates , 2012 .

[11]  M. Rodell,et al.  Assimilation of terrestrial water storage from GRACE in a snow‐dominated basin , 2011 .

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

[13]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[14]  A. Robock,et al.  The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .

[15]  E. Wood,et al.  Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .

[16]  P. Jones,et al.  A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 , 2008 .

[17]  M. Bierkens,et al.  Groundwater convergence as a possible mechanism for multi‐year persistence in rainfall , 2007 .

[18]  R. Koster,et al.  Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe , 2012 .

[19]  S. Swenson,et al.  Accuracy of GRACE mass estimates , 2006 .

[20]  Randal D. Koster,et al.  Soil moisture effects on seasonal temperature and precipitation forecast scores in Europe , 2010, Climate Dynamics.

[21]  H. Kooi,et al.  Beneath the surface of global change: Impacts of climate change on groundwater , 2011 .

[22]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

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

[24]  Evaluation of two precipitation data sets for the Rhine River using streamflow simulations , 2011 .

[25]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .

[26]  Zong-Liang Yang,et al.  Multisensor snow data assimilation at the continental scale: The value of Gravity Recovery and Climate Experiment terrestrial water storage information , 2010 .

[27]  James S. Famiglietti,et al.  GRACE-Based Estimates of Terrestrial Freshwater Discharge from Basin to Continental Scales , 2007 .

[28]  Pavel Ditmar,et al.  Retracking Cryosat data in the SARIn mode and robust lake level extraction , 2014 .

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

[30]  Jiancheng Shi,et al.  The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.

[31]  Geir Evensen,et al.  The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .

[32]  W. Peltier.  GLOBAL GLACIAL ISOSTASY AND THE SURFACE OF THE ICE-AGE EARTH: The ICE-5G (VM2) Model and GRACE , 2004 .

[33]  Niko E. C. Verhoest,et al.  Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model , 2010 .

[34]  A. Weerts,et al.  Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall‐runoff models , 2006 .

[35]  S. Seneviratne,et al.  Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .

[36]  M. Rodell,et al.  Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin , 2008 .

[37]  Göran Lindström,et al.  Development and test of the distributed HBV-96 hydrological model , 1997 .

[38]  A. M. Wagenaar-Hart.  International Commission for the Hydrology of the Rhine Basin (CHR) , 1994 .

[39]  Arnaud Mialon,et al.  The SMOS Soil Moisture Retrieval Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Anny Cazenave,et al.  Past terrestrial water storage (1980–2008) in the Amazon Basin reconstructed from GRACE and in situ river gauging data , 2010 .

[41]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[42]  Oldrich Rakovec,et al.  State updating of a distributed hydrological model with Ensemble Kalman Filtering: Effects of updating frequency and observation network density on forecast accuracy , 2012 .

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

[44]  W. Bosch,et al.  A new Database of Water Level Time Series for Lakes, Rivers, and Wetlands from Multi-Mission Satellite Altimetry , 2013 .

[45]  R. Reichle.  Data assimilation methods in the Earth sciences , 2008 .

[46]  Andreas Güntner,et al.  Improvement of Global Hydrological Models Using GRACE Data , 2008 .

[47]  R. Houborg,et al.  Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations , 2012 .

[48]  Peter Salamon,et al.  A software framework for construction of process-based stochastic spatio-temporal models and data assimilation , 2010, Environ. Model. Softw..

[49]  R. Koster,et al.  A catchment-based approach to modeling land surface processes in a general circulation model , 2000 .

[50]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[51]  R. E. Benestad,et al.  Impact of snow initialization on sub-seasonal forecasts , 2013, Climate Dynamics.

[52]  P. E. O'connell,et al.  IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences , 2003 .

[53]  E. Widiastuti.  Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin , 2009 .

[54]  C. Jekeli.  Alternative methods to smooth the Earth's gravity field , 1981 .

[55]  G. Evensen.  Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .

[56]  M. Bierkens,et al.  Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources , 2013 .

[57]  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.

[58]  Lifeng Luo,et al.  Contribution of land surface initialization to subseasonal forecast skill: First results from a multi‐model experiment , 2010 .

[59]  J. Famiglietti,et al.  Satellite-based estimates of groundwater depletion in India , 2009, Nature.

[60]  W. Wagner,et al.  Global Soil Moisture Patterns Observed by Space Borne Microwave Radiometers and Scatterometers , 2008 .

[61]  押谷 潤,et al.  To be International , 2002 .

[62]  Massimo Menenti,et al.  CESat derived elevation changes of Tibetan lakes between 2003 and 2009 u , 2012 .

[63]  S. Seneviratne,et al.  Analysis of seasonal terrestrial water storage variations in regional climate simulations over Europe , 2007 .