Effect of water table dynamics on land surface hydrologic memory

The representation of groundwater dynamics in land surface models has received considerable attention in recent years. Most studies have found that soil moisture increases after adding a groundwater component because of the additional supply of water to the root zone. However, the effect of groundwater on land surface hydrologic memory (persistence) has not been explored thoroughly. In this study we investigate the effect of water table dynamics on National Center for Atmospheric Research Community Land Model hydrologic simulations in terms of land surface hydrologic memory. Unlike soil water or evapotranspiration, results show that land surface hydrologic memory does not always increase after adding a groundwater component. In regions where the water table level is intermediate, land surface hydrologic memory can even decrease, which occurs when soil moisture and capillary rise from groundwater are not in phase with each other. Further, we explore the hypothesis that in addition to atmospheric forcing, groundwater variations may also play an important role in affecting land surface hydrologic memory. Analyses show that feedbacks of groundwater on land surface hydrologic memory can be positive, negative, or neutral, depending on water table dynamics. In regions where the water table is shallow, the damping process of soil moisture variations by groundwater is not significant, and soil moisture variations are mostly controlled by random noise from atmospheric forcing. In contrast, in regions where the water table is very deep, capillary fluxes from groundwater are small, having limited potential to affect soil moisture variations. Therefore, a positive feedback of groundwater to land surface hydrologic memory is observed in a transition zone between deep and shallow water tables, where capillary fluxes act as a buffer by reducing high-frequency soil moisture variations resulting in longer land surface hydrologic memory.

[1]  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 .

[2]  R. Pielke,et al.  Spatiotemporal Variability of Precipitation, Modeled Soil Moisture, and Vegetation Greenness in North America within the Recent Observational Record , 2009 .

[3]  I. Rodríguez‐Iturbe,et al.  Ecohydrology of groundwater‐dependent ecosystems: 1. Stochastic water table dynamics , 2009 .

[4]  Zong-Liang Yang,et al.  Impacts of vegetation and groundwater dynamics on warm season precipitation over the Central United States , 2009 .

[5]  Paul A. Dirmeyer,et al.  Precipitation, Recycling, and Land Memory: An Integrated Analysis , 2009 .

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

[7]  R. Dickinson,et al.  A Negative Soil Moisture-Precipitation Relationship and Its Causes , 2008 .

[8]  Zhenghui Xie,et al.  Effects of water table dynamics on regional climate , 2008 .

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

[10]  Wei‐Chyung Wang,et al.  Assessing land-atmosphere coupling using soil moisture from the Global Land Data Assimilation System and observational precipitation , 2008 .

[11]  R. Vervoort,et al.  Simulating the effect of capillary flux on the soil water balance in a stochastic ecohydrological framework , 2008 .

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

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

[14]  Peter E. Thornton,et al.  Improvements to the Community Land Model and their impact on the hydrological cycle , 2008 .

[15]  서기원,et al.  Gravity Recovery and Climate Experiment (GRACE) alias error from ocean tides , 2008 .

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

[17]  I. Rodríguez‐Iturbe,et al.  Coupled stochastic dynamics of water table and soil moisture in bare soil conditions , 2008 .

[18]  R. Maxwell,et al.  The groundwater land-surface atmosphere connection: Soil moisture effects on the atmospheric boundary layer in fully-coupled simulations , 2007 .

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

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

[21]  Zong-Liang Yang,et al.  Improving land‐surface model hydrology: Is an explicit aquifer model better than a deeper soil profile? , 2007 .

[22]  Bruno Merz,et al.  A global analysis of temporal and spatial variations in continental water storage , 2007 .

[23]  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 .

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

[25]  Peter Troch,et al.  Observed timescales of evapotranspiration response to soil moisture , 2006 .

[26]  S. Seneviratne,et al.  Land–atmosphere coupling and climate change in Europe , 2006, Nature.

[27]  G. G. Amenu,et al.  Interannual Variability of Deep-Layer Hydrologic Memory and Mechanisms of Its Influence on Surface Energy Fluxes , 2005 .

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

[29]  R. Koster,et al.  AGCM Biases in Evaporation Regime: Impacts on Soil Moisture Memory and Land–Atmosphere Feedback , 2005 .

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

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

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

[33]  Peter A. Troch,et al.  Improved understanding of soil moisture variability dynamics , 2005 .

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

[35]  R. Dickinson,et al.  Time Scales of Layered Soil Moisture Memory in the Context ofLand–Atmosphere Interaction , 2004 .

[36]  Paolo D'Odorico,et al.  Preferential states in soil moisture and climate dynamics , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Randal D. Koster,et al.  Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data , 2004 .

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

[39]  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 .

[40]  Randal D. Koster,et al.  Impact of Land Surface Initialization on Seasonal Precipitation and Temperature Prediction , 2003 .

[41]  R. Koster,et al.  Observational evidence that soil moisture variations affect precipitation , 2003 .

[42]  Robert E. Dickinson,et al.  A case study for land model evaluation: Simulation of soil moisture amplitude damping and phase shift , 2002 .

[43]  Praveen Kumar,et al.  Role of Terrestrial Hydrologic Memory in Modulating ENSO Impacts in North America , 2002 .

[44]  Robert E. Dickinson,et al.  The Response of Soil Moisture to Long-Term Variability of Precipitation , 2002 .

[45]  Randal D. Koster,et al.  Soil Moisture Memory in Climate Models , 2001 .

[46]  P. Dirmeyer An Evaluation of the Strength of Land–Atmosphere Coupling , 2001 .

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

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

[49]  P. Dirmeyer Using a global soil wetness dataset to improve seasonal climate simulation , 2000 .

[50]  A. Robock,et al.  Temporal and spatial scales of observed soil moisture variations in the extratropics , 2000 .

[51]  R. Koster,et al.  Variance and Predictability of Precipitation at Seasonal-to-Interannual Timescales , 2000 .

[52]  Yongqiang Liu,et al.  A Study of Persistence in the Land-Atmosphere System Using a General Circulation Model and Observations , 1999 .

[53]  Yongqiang Liu,et al.  A Study of Persistence in the Land-Atmosphere System with a Fourth-Order Analytical Model , 1999 .

[54]  D. Turcotte,et al.  Self-affine time series: measures of weak and strong persistence , 1999 .

[55]  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 .

[56]  Elfatih A. B. Eltahir,et al.  A Soil Moisture–Rainfall Feedback Mechanism: 1. Theory and observations , 1998 .

[57]  Elfatih A. B. Eltahir,et al.  An analysis of the soil moisture‐rainfall feedback, based on direct observations from Illinois , 1997 .

[58]  A. Robock,et al.  Scales of temporal and spatial variability of midlatitude soil moisture , 1996 .

[59]  Dara Entekhabi,et al.  Hillslope and Climatic Controls on Hydrologic Fluxes , 1995 .

[60]  Eric F. Wood,et al.  Effects of Spatial Variability and Scale on Areally Averaged Evapotranspiration , 1995 .

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

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

[63]  S. Manabe,et al.  The temporal variability of soil wetness and its impact on climate , 1990 .

[64]  Syukuro Manabe,et al.  The Influence of Soil Wetness on Near-Surface Atmospheric Variability , 1989 .

[65]  Syukuro Manabe,et al.  The influence of potential evaporation on the variabilities of simulated soil wetness and climate , 1988 .

[66]  Keith Beven,et al.  On hydrologic similarity: 2. A scaled model of storm runoff production , 1987 .

[67]  R. H. Brooks,et al.  Hydraulic properties of porous media , 1963 .

[68]  Peter E. Thornton,et al.  Technical Description of the Community Land Model (CLM) , 2004 .

[69]  E. Vivoni,et al.  Hydrology and Earth System Sciences Discussions Controls on Runoff Generation and Scale-dependence in a Distributed Hydrologic Model , 2022 .