A GRACE‐based assessment of interannual groundwater dynamics in the Community Land Model

The estimation of groundwater storage variations is important for quantifying available water resources and managing storage surpluses to alleviate storage deficiencies during droughts. This is particularly true in semi-arid regions, where multiyear droughts can be common. To complement the local information provided by soil moisture and well level measurements, land models such as the Community Land Model (CLM) can be used to simulate regional scale water storage variations. CLM includes a bulk aquifer model to simulate saturated water storage dynamics below the model soil column. Aquifer storage increases when it receives recharge from the overlying soil column, and decreases due to lateral flow (i.e., base flow) and capillary rise. In this study, we examine the response of the CLM aquifer model to transitions between low and high recharge inputs, and show that the model simulates unrealistic long-period behavior relative to total water storage (TWS) observations from the Gravity Recovery and Climate Experiment (GRACE). We attribute the model's poor response to large wetting events to the lack of a finite lower boundary in the bulk aquifer model. We show that by removing the bulk aquifer model and adding a zero-flux boundary condition at the base of the soil column, good agreement with GRACE observations can be achieved. In addition, we examine the sensitivity of simulated total water storage to the depth at which the zero-flux boundary is applied, i.e., the thickness of the soil column. Based on comparisons to GRACE, an optimal soil thickness map is constructed. Simulations using the modified CLM with the derived soil thickness map are shown to perform as well or better than standard CLM simulations. The improvements in simulated, climatically induced, long-period water storage variability will reduce the uncertainty in GRACE-based estimates of anthropogenic groundwater depletion.

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

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

[3]  L. Konikow Long‐Term Groundwater Depletion in the United States , 2015, Ground water.

[4]  J. Famiglietti The global groundwater crisis , 2014 .

[5]  D. Pool Variations in climate and ephemeral channel recharge in southeastern Arizona, United States , 2005 .

[6]  V. M. Tiwari,et al.  Dwindling groundwater resources in northern India, from satellite gravity observations , 2009 .

[7]  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 .

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

[9]  P. Döll,et al.  Groundwater use for irrigation - a global inventory , 2010 .

[10]  D. Lawrence,et al.  Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .

[11]  J. Janowiak,et al.  The Global Precipitation Climatology Project (GPCP) combined precipitation dataset , 1997 .

[12]  M. Bierkens,et al.  Global depletion of groundwater resources , 2010 .

[13]  David M. Lawrence,et al.  Assessing a dry surface layer‐based soil resistance parameterization for the Community Land Model using GRACE and FLUXNET‐MTE data , 2014 .

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

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

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

[17]  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.

[18]  A. Bondeau,et al.  Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .

[19]  L. Konikow Contribution of global groundwater depletion since 1900 to sea‐level rise , 2011 .

[20]  J. Famiglietti,et al.  Effect of water table dynamics on land surface hydrologic memory , 2010 .

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

[22]  L. Ruby Leung,et al.  Climate–soil–vegetation control on groundwater table dynamics and its feedbacks in a climate model , 2011 .

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

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

[25]  A. Robock,et al.  Incorporating water table dynamics in climate modeling: 3. Simulated groundwater influence on coupled land‐atmosphere variability , 2008 .

[26]  Reed M. Maxwell,et al.  On the Development of a Coupled Land Surface and Groundwater Model , 2004 .

[27]  Ying Fan,et al.  Incorporating water table dynamics in climate modeling: 2. Formulation, validation, and soil moisture simulation , 2007 .

[28]  M. Flörke,et al.  Future long-term changes in global water resources driven by socio-economic and climatic changes , 2007 .

[29]  B. Scanlon,et al.  Ground water and climate change , 2013 .

[30]  W. Collins,et al.  The Community Earth System Model: A Framework for Collaborative Research , 2013 .

[31]  T. Stacke,et al.  Multimodel projections and uncertainties of irrigation water demand under climate change , 2013 .

[32]  Reed M. Maxwell,et al.  Development of a Coupled Land Surface and Groundwater Model , 2005 .

[33]  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 .

[34]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[35]  Zong-Liang Yang,et al.  A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models , 2005 .

[36]  L. V. Beek,et al.  Water balance of global aquifers revealed by groundwater footprint , 2012, Nature.

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