Monitoring and comparison of terrestrial water storage changes in the northern high plains using GRACE and in-situ based integrated hydrologic model estimates

Abstract Enhanced measurement of the variation of the terrestrial water cycle are imperative to better understand the dynamics, water availability, and evaluate impacts of global changes on the water cycle. This study quantified storage in the various terrestrial water compartments using an integrated hydrologic model (IHM) – MIKE SHE that simulates the entire terrestrial water cycle and the Gravity Recovery and Climate Experiment (GRACE) satellite data in the intensively irrigated Northern High Plains (area ∼ 250,000 km 2 ). The IHM, mainly constructed using in-situ data, was evaluated using field measured groundwater level, stream flow, and soil moisture data. The model was first used to calculate the incremental water storage for each water balance component (e.g. storage in the saturated zone) and then the GRACE equivalent terrestrial water storage anomaly. In the study area, storage in the saturated zone is the major component of the terrestrial water storage (TWS) anomaly. The GRACE-derived TWS anomaly and the anomaly simulated from the model are generally in agreement on a monthly scale with few discrepancies. Generally, both GRACE and the IHM results displayed a statistically significant increasing trend in the total TWS and groundwater storage anomalies from 2002–2013 over the Northern High Plains. This study demonstrates the applicability of an integrated hydrologic model to monitor TWS variations in a large area, and GRACE data and IHMs are capable of reproducing observed trends in TWS.

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

[2]  Sharon L. Qi,et al.  Geodatabase compilation of hydrogeologic, remote sensing, and water-budget-component data for the High Plains aquifer, 2011 , 2013 .

[3]  M. Watkins,et al.  The gravity recovery and climate experiment: Mission overview and early results , 2004 .

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

[5]  Marcia K Mcnutt,et al.  Water-level changes in the High Plains aquifer, predevelopment to 2009, 2007-08, and 2008-09, and change in water in storage, predevelopment to 2009 , 2011 .

[6]  Chong-Yu Xu,et al.  Observed trends of annual maximum water level and streamflow during past 130 years in the Yangtze River basin, China , 2006 .

[7]  Matthew Rodell,et al.  Detectability of variations in continental water storage from satellite observations of the time dependent gravity field , 1999 .

[8]  Matthew Rodell,et al.  Analysis of terrestrial water storage changes from GRACE and GLDAS , 2008 .

[9]  S. Bettadpur,et al.  Ensemble prediction and intercomparison analysis of GRACE time‐variable gravity field models , 2014 .

[10]  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 .

[11]  W. Feng,et al.  Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground‐based measurements , 2013 .

[12]  R. Nativ,et al.  Hydrogeology and geochemistry of the Ogallala aquifer, Southern High Plains , 1987 .

[13]  E. Gutentag,et al.  Geohydrology of the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming , 1984 .

[14]  J. Famiglietti,et al.  Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated base flow data , 2010 .

[15]  E. D. Gutentag,et al.  Summary of the High Plains Regional Aquifer-System Analysis in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming , 1988 .

[16]  Victor Zlotnicki,et al.  Time‐variable gravity from GRACE: First results , 2004 .

[17]  S. Swenson,et al.  Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE) , 2006 .

[18]  Jens Christian Refsgaard,et al.  Transient modeling of regional groundwater flow using parameter estimates from steady-state automatic calibration , 2003 .

[19]  Richard Becker,et al.  Estimating the Effects of Anthropogenic Modification on Water Balance in the Aral Sea Watershed Using GRACE: 2003–12 , 2014, Earth Interactions.

[20]  V. L. McGuire.  Water-Level Changes in the High Plains Aquifer, Predevelopment to 2007, 2005-06, and 2006-07 , 2009 .

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

[22]  Sharon L. Qi,et al.  Selected approaches to estimate water-budget components of the High Plains, 1940 through 1949 and 2000 through 2009 , 2011 .

[23]  V. L. McGuire.  Water-level changes and change in water in storage in the High Plains aquifer, predevelopment to 2013 and 2011-13 , 2014 .

[24]  Jesslyn F. Brown,et al.  Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture , 2014 .

[25]  J. Arnold,et al.  Suitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds , 2007 .

[26]  V. L. McGuire.  Water-level and storage changes in the High Plains aquifer, predevelopment to 2011 and 2009-11 , 2013 .

[27]  Eric F. Wood,et al.  Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches , 2011 .

[28]  R. Reedy,et al.  Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley , 2012, Proceedings of the National Academy of Sciences.

[29]  Bruce A. McCarl,et al.  Trading Water for Carbon with Biological Carbon Sequestration , 2005, Science.

[30]  Racha Elkadiri,et al.  Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco , 2015, Remote. Sens..

[31]  Charles S. Zender,et al.  Gravity Recovery and Climate Experiment (GRACE) detection of water storage changes in the Three Gorges Reservoir of China and comparison with in situ measurements , 2011 .

[32]  D. Lettenmaier,et al.  Assimilating remotely sensed snow observations into a macroscale hydrology model , 2006 .

[33]  Jens Christian Refsgaard,et al.  Integrated hydrological modeling of the North China Plain and implications for sustainable water management , 2013 .

[34]  B. Scanlon,et al.  GRACE Hydrological estimates for small basins: Evaluating processing approaches on the High Plains Aquifer, USA , 2010 .

[35]  Thomas J. Jackson,et al.  Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[36]  C. K. Shum,et al.  Characterization of terrestrial water dynamics in the Congo Basin using GRACE and satellite radar altimetry , 2011 .

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

[38]  Md Shahriar Pervez,et al.  Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics , 2010, Remote. Sens..

[39]  Mohamed Sultan,et al.  Integration of GRACE (Gravity Recovery and Climate Experiment) data with traditional data sets for a better understanding of the time-dependent water partitioning in African watersheds , 2011 .

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

[41]  Peter Strauss,et al.  Hydrology and Earth System Sciences Multi-site Calibration, Validation, and Sensitivity Analysis of the Mike She Model for a Large Watershed in Northern China , 2022 .

[42]  J. Famiglietti,et al.  A GRACE‐based water storage deficit approach for hydrological drought characterization , 2014 .

[43]  Wondwosen M. Seyoum,et al.  Understanding the relative impacts of natural processes and human activities on the hydrology of the Central Rift Valley lakes, East Africa , 2015 .

[44]  K. Dennehy,et al.  High Plains regional ground-water study , 2000 .

[45]  B. Scanlon,et al.  GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas , 2013 .

[46]  S. Yirdaw,et al.  GRACE satellite observations of terrestrial moisture changes for drought characterization in the Canadian Prairie , 2008 .

[47]  D. Lettenmaier,et al.  Measuring surface water from space , 2004 .

[48]  Brian F. Thomas,et al.  River basin flood potential inferred using GRACE gravity observations at several months lead time , 2014 .

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

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

[51]  José Agustín Breña-Naranjo,et al.  Improved methods for satellite‐based groundwater storage estimates: A decade of monitoring the high plains aquifer from space and ground observations , 2014 .

[52]  M. Becker,et al.  Hydrogeology, water use, and simulation of flow in the High Plains aquifer in northwestern Oklahoma, southeastern Colorado, southwestern Kansas, northeastern New Mexico, and northwestern Texas , 1999 .

[53]  Alexander Y. Sun,et al.  Toward calibration of regional groundwater models using GRACE data , 2012 .

[54]  Bridget R. Scanlon,et al.  Evaluation of groundwater storage monitoring with the GRACE satellite: Case study of the High Plains aquifer, central United States , 2009 .

[55]  Mohamed Sultan,et al.  A remote sensing solution for estimating runoff and recharge in arid environments , 2009 .

[56]  Jürgen Kusche,et al.  Evaluation of GRACE filter tools from a hydrological perspective , 2009 .

[57]  Douglas A. Miller,et al.  A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling , 1998 .

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

[59]  J. C. Refsgaard,et al.  An Integrated Model for the Danubian Lowland – Methodology and Applications , 1998 .

[60]  Yaning Chen,et al.  Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, northwest of China, during 1960–2010 , 2013 .

[61]  D. Hyndman,et al.  Water Level Declines in the High Plains Aquifer: Predevelopment to Resource Senescence , 2016, Ground water.

[62]  Peter Strauss,et al.  Evaluation of the MIKE SHE Model for Application in the Loess Plateau, China 1 , 2008 .

[63]  Hugo A. Loáiciga,et al.  Distributed hydrological modelling in California semi-arid shrublands: MIKE SHE model calibration and uncertainty estimation , 2006 .

[64]  K. Kristensen,et al.  A MODEL FOR ESTIMATING ACTUAL EVAPOTRANSPIRATION FROM POTENTIAL EVAPOTRANSPIRATION , 1975 .

[65]  G. Heinson,et al.  Electrical evidence of continental accretion: Steeply‐dipping crustal‐scale conductivity contrast , 2006 .

[66]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system , 1986 .

[67]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .

[68]  James S. Famiglietti,et al.  Remote Sensing of Terrestrial Water Storage, Soil Moisture and Surface Waters , 2013 .

[69]  K. Jensen,et al.  Distributed hydrological modelling of the Senegal River Basin — model construction and validation , 2001 .