Trends and Interannual Variability in Terrestrial Water Storage Over the Eastern United States, 2003–2016

We examine the relative contributions of root zone soil moisture (SM) and groundwater (GW) storage to trends and interannual variability in total water storage (TWS) from essentially the entire Gravity Recovery and Climate Experiment (GRACE) record (2003–2016). Our study region is the Eastern United States where GW generally is shallow, and we use observations and simulations from a suite of land surface models (LSMs) where observations are not available. We first consider Illinois, which has a long‐term network of SM sensors and observation wells. We assessed the uncertainties in GRACE TWS in comparison with the observation‐based TWS using observed SM, well‐derived GW, and model‐reconstructed snow water equivalent. We evaluated LSM SM compared with observations over Illinois; generally good agreement encouraged us to use the LSM‐ensemble average SM, well‐derived GW, and Snow Data Assimilation System snow water equivalent over the entire Eastern United States to examine the relative contribution of storage components to GRACE TWS over this larger domain. Taken together, the three components explained 2%–85% of interannual variability in GRACE TWS across the 2‐digit Hydrologic Unit Code regions. Root zone SM was the dominant contributor to the interannual variability (but not trends) of GRACE TWS over much of the Eastern United States. We also compared three independent approaches to estimating GW: well data, baseflow observations, and GRACE. Despite much smaller magnitudes of variation, baseflow‐derived GW correlated more highly with well‐derived GW over the eastern‐most and Upper Mississippi regions, while GRACE‐derived GW matched better with well‐derived GW over the remaining regions.

[1]  F. Landerer,et al.  Emerging trends in global freshwater availability , 2018, Nature.

[2]  R. Reedy,et al.  Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data , 2018, Proceedings of the National Academy of Sciences.

[3]  Sujay V. Kumar,et al.  Rivers and Floodplains as Key Components of Global Terrestrial Water Storage Variability , 2017 .

[4]  Dennis P. Lettenmaier,et al.  How much groundwater did California's Central Valley lose during the 2012–2016 drought? , 2017 .

[5]  Bailing Li,et al.  Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States , 2017 .

[6]  B. Scanlon,et al.  Global evaluation of new GRACE mascon products for hydrologic applications , 2016 .

[7]  Srinivas Bettadpur,et al.  High‐resolution CSR GRACE RL05 mascons , 2016 .

[8]  F. Landerer,et al.  A comparison of watershed storage trends over the eastern and upper Midwestern regions of the United States, 2003–2015 , 2016 .

[9]  R. Maxwell,et al.  Connections between groundwater flow and transpiration partitioning , 2016, Science.

[10]  David M. Lawrence,et al.  A GRACE‐based assessment of interannual groundwater dynamics in the Community Land Model , 2015 .

[11]  Reed M. Maxwell,et al.  Evaluating the relationship between topography and groundwater using outputs from a continental‐scale integrated hydrology model , 2015 .

[12]  Bailing Li,et al.  Groundwater Variability Across Temporal and Spatial Scales in the Central and Northeastern U.S. , 2015 .

[13]  D. Lettenmaier,et al.  Is climate change implicated in the 2013–2014 California drought? A hydrologic perspective , 2015 .

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

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

[16]  Wenji Zhao,et al.  Subregional‐scale groundwater depletion detected by GRACE for both shallow and deep aquifers in North China Plain , 2015 .

[17]  Liang Chang,et al.  Monitoring Groundwater Variations from Satellite Gravimetry and Hydrological Models: A Comparison with in-situ Measurements in the Mid-Atlantic Region of the United States , 2015, Remote. Sens..

[18]  Zong-Liang Yang,et al.  Assessment of simulated water balance from Noah, Noah‐MP, CLM, and VIC over CONUS using the NLDAS test bed , 2014 .

[19]  W. Brutsaert,et al.  Long-term annual groundwater storage trends in Australian catchments , 2014 .

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

[21]  M. Ek,et al.  Evaluation of multi-model simulated soil moisture in NLDAS-2 , 2014 .

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

[23]  S. Swenson,et al.  Estimating the human contribution to groundwater depletion in the Middle East, from GRACE data, land surface models, and well observations , 2014 .

[24]  Cédric H. David,et al.  Hydrological evaluation of the Noah‐MP land surface model for the Mississippi River Basin , 2014 .

[25]  Tim R. McVicar,et al.  Global patterns in base flow index and recession based on streamflow observations from 3394 catchments , 2013 .

[26]  Martha C. Anderson,et al.  An Intercomparison of Drought Indicators Based on Thermal Remote Sensing and NLDAS-2 Simulations with U.S. Drought Monitor Classifications , 2013 .

[27]  M. Rodell,et al.  Water in the Balance , 2013, Science.

[28]  Y. Fan,et al.  Global Patterns of Groundwater Table Depth , 2013, Science.

[29]  Matthew Rodell,et al.  Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region , 2013, Water resources research.

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

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

[32]  Richard Gloaguen,et al.  Impact of transient groundwater storage on the discharge of Himalayan rivers , 2012 .

[33]  Kevin W. Manning,et al.  The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins , 2011 .

[34]  Kevin W. Manning,et al.  The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .

[35]  Alexander Y. Sun,et al.  Inferring aquifer storage parameters using satellite and in situ measurements: Estimation under uncertainty , 2010 .

[36]  W. Brutsaert Annual drought flow and groundwater storage trends in the eastern half of the United States during the past two-third century , 2010 .

[37]  Dennis P. Lettenmaier,et al.  Multimodel Ensemble Reconstruction of Drought over the Continental United States , 2009 .

[38]  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 .

[39]  J. Famiglietti,et al.  Regional Groundwater Evapotranspiration in Illinois , 2009 .

[40]  Wilfried Brutsaert,et al.  Long‐term groundwater storage trends estimated from streamflow records: Climatic perspective , 2008 .

[41]  E. Wood,et al.  Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950–2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle , 2008 .

[42]  A. Mariotti,et al.  Variability of Basin-Scale Terrestrial Water Storage from a PER Water Budget Method: The Amazon and the Mississippi , 2008 .

[43]  Jeffrey B. Basara,et al.  Estimating profile soil moisture and groundwater variations using GRACE and Oklahoma Mesonet soil moisture data , 2008 .

[44]  Zong-Liang Yang,et al.  Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data , 2007 .

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

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

[47]  Dennis P. Lettenmaier,et al.  A TEST BED FOR NEW SEASONAL HYDROLOGIC FORECASTING APPROACHES IN THE WESTERN UNITED STATES , 2006 .

[48]  Dennis P. Lettenmaier,et al.  Hydrology: Water from on high , 2006, Nature.

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

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

[51]  D. Lettenmaier,et al.  Twentieth-Century Drought in the Conterminous United States , 2005 .

[52]  H. Haitjema,et al.  Are Water Tables a Subdued Replica of the Topography? , 2005, Ground water.

[53]  Elfatih A. B. Eltahir,et al.  Representation of Water Table Dynamics in a Land Surface Scheme. Part I: Model Development , 2005 .

[54]  E. Eltahir,et al.  Representation of Water Table Dynamics in a Land Surface Scheme. Part II: Subgrid Variability , 2005 .

[55]  J. D. Tarpley,et al.  Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .

[56]  Zhenghui Xie,et al.  A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model , 2003 .

[57]  Matthew Rodell,et al.  The potential for satellite-based monitoring of groundwater storage changes using GRACE: the High Plains aquifer, Central US , 2002 .

[58]  P. Cook,et al.  Using groundwater levels to estimate recharge , 2002 .

[59]  Matthew Rodell,et al.  An analysis of terrestrial water storage variations in Illinois with implications for the Gravity Recovery and Climate Experiment (GRACE) , 2001 .

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

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

[62]  K. Mitchell,et al.  A parameterization of snowpack and frozen ground intended for NCEP weather and climate models , 1999 .

[63]  Dennis P. Lettenmaier,et al.  Hydrologic effects of frozen soils in the upper Mississippi River basin , 1999 .

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

[65]  Elfatih A. B. Eltahir,et al.  Hydroclimatology of Illinois: A comparison of monthly evaporation estimates based on atmospheric water balance and soil water balance , 1998 .

[66]  K. Mitchell,et al.  Impact of Atmospheric Surface-layer Parameterizations in the new Land-surface Scheme of the NCEP Mesoscale Eta Model , 1997 .

[67]  K. Mitchell,et al.  Simple water balance model for estimating runoff at different spatial and temporal scales , 1996 .

[68]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

[69]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[70]  John L. Nieber,et al.  Regionalized drought flow hydrographs from a mature glaciated plateau , 1977 .

[71]  P. Sen Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[72]  M. Rodell,et al.  Evaluation of a Model-Based Groundwater Drought Indicator in the Conterminous U.S. , 2015 .

[73]  Wilfried Brutsaert,et al.  Hydrology: An Introduction , 2005 .

[74]  D. Wolock Flow characteristics at U.S. Geological Survey streamgages in the conterminous United States , 2003 .

[75]  Thomas R. Carroll,et al.  NOHRSC OPERATIONS AND THE SIMULATION OF SNOW COVER PROPERTIES FOR THE COTERMINOUS U.S , 2001 .

[76]  Erich Barke,et al.  Hierarchical partitioning , 1996, Proceedings of International Conference on Computer Aided Design.

[77]  Lake Springfield,et al.  Illinois State Water Survey , 1991 .

[78]  Eric A. Anderson,et al.  National Weather Service river forecast system: snow accumulation and ablation model , 1973 .

[79]  H. Theil A Rank-Invariant Method of Linear and Polynomial Regression Analysis , 1992 .