Global‐scale land surface hydrologic modeling with the representation of water table dynamics

[1] Water table dynamics, a basic hydrologic process, was traditionally not considered in global-scale land surface models (LSMs). In this study, a representation of water table dynamics is integrated into a global LSM to address the shortcomings of existing global-scale modeling studies and the appropriateness of specifying certain parameters as globally constant. Evaluation of model simulation using globally varying parameters against river discharge observations in selected large rivers shows improvements when the water table dynamics is included in the model. The mechanisms by which the water table dynamics affects land surface hydrologic simulation are then investigated by analyzing the sensitivity simulation of groundwater (GW) capillary flux. The result indicates that global mean evapotranspiration (ET) increases by ~9% when GW capillary flux is considered. The semiarid regions with marked dry season have the largest increase (~25%), while the humid and high-latitude regions with sufficient moisture but limited radiation energy have the smallest increase. Increase in ET is more pronounced in dry season when GW recharge becomes negative (upward moisture supply from the aquifer), but its magnitude depends on the water table depth (WTD). On the other hand, a deeper WTD caused by the GW capillary flux is found to decrease runoff throughout the year in regions with a large increase in ET in dry season only. Based on our modeling result, about 50% of global land area (especially in humid and high-latitude regions) is simulated to have the mean WTD shallower than 5 m, which emphasizes the significance of representing water table dynamics in global-scale LSMs.

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

[2]  Taikan Oki,et al.  Global projections of changing risks of floods and droughts in a changing climate , 2008 .

[3]  Mark Person,et al.  A Coupled Land-Atmosphere Simulation Program (CLASP): Calibration and validation , 2002 .

[4]  G. Niu,et al.  Model performance, model robustness, and model fitness scores: A new method for identifying good land‐surface models , 2008 .

[5]  B. Scanlon,et al.  Assessing controls on diffuse groundwater recharge using unsaturated flow modeling , 2005 .

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

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

[8]  H. Mooney,et al.  Modeling the Exchanges of Energy, Water, and Carbon Between Continents and the Atmosphere , 1997, Science.

[9]  C. Justice,et al.  A revised land surface parameterization (SiB2) for GCMs. Part III: The greening of the Colorado State University general circulation model , 1996 .

[10]  G. Miguez-Macho,et al.  The role of groundwater in the Amazon water cycle: 1. Influence on seasonal streamflow, flooding and wetlands , 2012 .

[11]  Keith Beven,et al.  Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology , 2001 .

[12]  Regional terrestrial water storage change and evapotranspiration from terrestrial and atmospheric water balance computations , 2008 .

[13]  Jens Hartmann,et al.  Mapping permeability over the surface of the Earth , 2011 .

[14]  W. Edmunds,et al.  Published online in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/hyp.6335 Global synthesis of groundwater recharge in semiarid andaridregions , 2022 .

[15]  J. Famiglietti,et al.  Multiscale modeling of spatially variable water and energy balance processes , 1994 .

[16]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

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

[18]  Eric F. Wood,et al.  Predicting the Discharge of Global Rivers , 2001, Journal of Climate.

[19]  L. A. Richards Capillary conduction of liquids through porous mediums , 1931 .

[20]  J. Deardorff Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation , 1978 .

[21]  Taikan Oki,et al.  Role of rivers in the seasonal variations of terrestrial water storage over global basins , 2009 .

[22]  J. Famiglietti,et al.  Constraining water table depth simulations in a land surface model using estimated baseflow , 2008 .

[23]  Stefan Kollet,et al.  Influence of soil heterogeneity on evapotranspiration under shallow water table conditions: transient, stochastic simulations , 2009 .

[24]  A. Dalcher,et al.  A Simple Biosphere Model (SIB) for Use within General Circulation Models , 1986 .

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

[26]  D. Randall,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .

[27]  Yang Hong,et al.  Coupling Terrestrial and Atmospheric Water Dynamics to Improve Prediction in a Changing Environment , 2008 .

[28]  Eric F. Wood,et al.  Evapotranspiration and runoff from large land areas: Land surface hydrology for atmospheric general circulation models , 1991 .

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

[30]  Xi Chen,et al.  Groundwater influences on soil moisture and surface evaporation , 2004 .

[31]  R. Dickinson Land Surface Processes and Climate—Surface Albedos and Energy Balance , 1983 .

[32]  Taikan Oki,et al.  Toward flood risk prediction: a statistical approach using a 29-year river discharge simulation over Japan , 2008 .

[33]  S. Kanae,et al.  Iso-MATSIRO, a land surface model that incorporates stable water isotopes , 2006 .

[34]  D. Lawrence,et al.  Regions of Strong Coupling Between Soil Moisture and Precipitation , 2004, Science.

[35]  Reed M. Maxwell,et al.  Role of groundwater in watershed response and land surface feedbacks under climate change , 2010 .

[36]  Zong-Liang Yang,et al.  Effects of Frozen Soil on Snowmelt Runoff and Soil Water Storage at a Continental Scale , 2006 .

[37]  T. C. Winter,et al.  Groundwater-supported evapotranspiration within glaciated watersheds under conditions of climate change , 2006 .

[38]  H. Hasumi,et al.  Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity , 2010, Journal of Climate.

[39]  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 .

[40]  Kumiko Takata,et al.  Development of the minimal advanced treatments of surface interaction and runoff , 2003 .

[41]  Zong-Liang Yang,et al.  The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .

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

[43]  David Rind,et al.  An Efficient Approach to Modeling the Topographic Control of Surface Hydrology for Regional and Global Climate Modeling , 1997 .

[44]  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 .

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

[46]  P. Dirmeyer,et al.  ISLSCP initiative II global data sets : Surface boundary conditions and atmospheric forcings for land-atmosphere studies , 2006 .

[47]  Is Mongolia's groundwater increasing or decreasing? The case of the Kherlen River basin / Les eaux souterraines de Mongolie s'accroissent ou décroissent-elles? Cas du bassin versant la Rivière Kherlen , 2008 .

[48]  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 .

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

[50]  Taikan Oki,et al.  A 100-year (1901-2000) global retrospective estimation of the terrestrial water cycle , 2005 .

[51]  Sujan Koirala,et al.  GLOBAL SIMULATION OF GROUNDWATER RECHARGE, WATER TABLE DEPTH, AND LOW FLOW USING A LAND SURFACE MODEL WITH GROUNDWATER REPRESENTATION , 2012 .

[52]  A. Dijk,et al.  The role of climatic and terrain attributes in estimating baseflow recession in tropical catchments , 2010 .

[53]  Soroosh Sorooshian,et al.  Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops , 2006 .

[54]  Hydrograph Separation of the Amazon River: A Methodological Study , 1997 .

[55]  J. Famiglietti,et al.  Precipitation response to land subsurface hydrologic processes in atmospheric general circulation model simulations , 2011 .

[56]  Randal D. Koster,et al.  A Catchment-Based Approach to Modeling Land Surface Processes in a Gcm, Part 1: Model Structure , 2013 .

[57]  M. Kanamitsu,et al.  NCEP–DOE AMIP-II Reanalysis (R-2) , 2002 .

[58]  Marc Lynch-Stieglitz,et al.  The development and validation of a simple snow model for the GISS GCM , 1994 .

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

[60]  Josef M. Oberhuber,et al.  Snow cover model for global climate simulations , 1993 .

[61]  Naota Hanasaki,et al.  GSWP-2 Multimodel Analysis and Implications for Our Perception of the Land Surface , 2006 .

[62]  Ying Fan,et al.  Incorporating water table dynamics in climate modeling: 1. Water table observations and equilibrium water table simulations , 2007 .

[63]  R. Dickinson,et al.  Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia , 2003 .

[64]  R. Maxwell,et al.  Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model , 2008 .

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

[66]  R. Maxwell,et al.  Interdependence of groundwater dynamics and land-energy feedbacks under climate change , 2008 .

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

[68]  G. Hornberger,et al.  A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils , 1984 .

[69]  S. Manabe CLIMATE AND THE OCEAN CIRCULATION1 , 1969 .

[70]  Wilfried Brutsaert,et al.  Basin‐scale geohydrologic drought flow features of riparian aquifers in the Southern Great Plains , 1998 .

[71]  Sujan Koirala,et al.  FULLY DYNAMIC GROUNDWATER REPRESENTATION IN THE MATSIRO LAND SURFACE MODEL , 2010 .

[72]  Haibin Li,et al.  SIMULATED WATER TABLE AND SOIL MOISTURE CLIMATOLOGY OVER NORTH AMERICA , 2008 .

[73]  T. Oki,et al.  Design of Total Runoff Integrating Pathways (TRIP)—A Global River Channel Network , 1998 .

[74]  P. Döll,et al.  Global-scale modeling of groundwater recharge , 2008 .

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

[76]  Peter H. Stone,et al.  Efficient Three-Dimensional Global Models for Climate Studies: Models I and II , 1983 .

[77]  J. Polcher,et al.  A 53-year forcing data set for land surface models , 2005 .

[78]  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 .

[79]  Ann Henderson-Sellers,et al.  Biosphere-atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model , 1986 .

[80]  Thomas C. Winter,et al.  Putting aquifers into atmospheric simulation models: an example from the Mill Creek Watershed, northeastern Kansas , 2002 .

[81]  Naota Hanasaki,et al.  Incorporating anthropogenic water regulation modules into a land surface model , 2012 .

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