A Coupled Land-Atmosphere Simulation Program (CLASP): Calibration and validation

[1] We present a model and application designed to study the coupled land-atmosphere hydrologic cycle, following water from its inflow into a region by horizontal atmospheric transport through surface-atmosphere exchange processes and aquifer recharge to outflow as runoff and river discharge. The model includes a two-way water flow among its major reservoirs (atmosphere, vadose zone, groundwater, surface water, river). A unique feature of the model is that phreatophytic interactions are included when the water table intersects the root zone. The model emulates a uniform grid box of an atmospheric general circulation model, but with finer horizontal resolution for the land processes, and forms a test bed for developing continental-scale simulation of the hydrologic cycle. The model is calibrated using the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) observations for 1987 and validated using FIFE observations for 1988 and 1989. Four physical factors emerge as important for simulating the FIFE water cycle: effective relative humidity for initiating stable (large scale) condensation, length of the growing season, amount of available soil water, and cloud cover parameterization. Further evaluation uses water table and river discharge measurements for years up to 1993. The model simulates multiyear behavior in the hydrologic cycle reasonably well. Average differences between FIFE observations and simulated fluxes during the calibration period are only a few percent, including fluxes not specifically calibrated. Model-observation differences in surface sensible and latent heat fluxes are larger during the 1988 drought but recover to relatively small values for 1989, suggesting some difficulty in simulating hydrologic extremes occurring outside the calibration conditions. A model sensitivity study using statistical disaggregation to allow precipitation to fall on only a portion of the landscape indicates that spatial disaggregation of precipitation can have strong impact on groundwater storage and surface discharge, potentially improving agreement between observed and simulated streamflow. Water redistributed through the model's aquifer-river network can at times raise the water table high enough for water to seep back to the vegetation root zone and increase evapotranspiration. During relatively dry periods, up to 33% of monthly evapotranspiration was derived from groundwater-supported evapotranspiration, emphasizing the need to quantify better aquifer-atmosphere interaction. The work also demonstrates the feasibility and utility of fully coupled water budgeting schemes.

[1]  Richard C. Thompson,et al.  Water budget analysis , 1987 .

[2]  Eric A. Smith,et al.  An intercomparison of surface energy flux measurement systems used during FIFE 1987 , 1992, ICSE 1990.

[3]  R. Vogel,et al.  Global warming and the hydrologic cycle , 1996 .

[4]  Alan K. Betts,et al.  FIFE Surface Climate and Site-Average Dataset 1987–89 , 1998 .

[5]  John L. Wilson,et al.  Ground‐Water Quality Modelinga , 1974 .

[6]  Eric A. Smith,et al.  Area‐averaged surface fluxes and their time‐space variability over the FIFE experimental domain , 1992 .

[7]  P. S. Eagleson,et al.  A one-dimensional interactive soil-atmosphere model for testing formulations of surface hydrology , 1990 .

[8]  Shashi B. Verma,et al.  Comparison of surface fluxes and conductances at two contrasting sites within the FIFE area , 1992 .

[9]  K. Emanuel A Scheme for Representing Cumulus Convection in Large-Scale Models , 1991 .

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

[11]  P. Wetzel,et al.  Evapotranspiration from Nonuniform Surfaces: A First Approach for Short-Term Numerical Weather Prediction , 1988 .

[12]  G. Salvucci,et al.  Equilibrium analysis of groundwater–vadose zone interactions and the resulting spatial distribution of hydrologic fluxes across a Canadian Prairie , 1999 .

[13]  D. Nie,et al.  Surface energy fluxes on four slope sites during FIFE 1988 , 1992 .

[14]  J. Roads,et al.  Large-Scale Aspects of the United States Hydrologic Cycle , 1994 .

[15]  W. James Shuttleworth,et al.  Executive summary of the Tucson Aggregation Workshop , 1997 .

[16]  B. Bonan,et al.  A Land Surface Model (LSM Version 1.0) for Ecological, Hydrological, and Atmospheric Studies: Technical Description and User's Guide , 1996 .

[17]  T. Phillips,et al.  Documentation of the AMIP models on the World Wide Web , 1995 .

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

[19]  G. Macpherson Hydrogeology of thin limestones: the Konza Prairie Long-Term Ecological Research Site, Northeastern Kansas , 1996 .

[20]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[21]  John C. Schaake,et al.  FIFE 1987 water budget analysis , 1996 .

[22]  C. Vorosmarty,et al.  Linked atmosphere-hydrology models at the macroscale , 1993 .

[23]  Charles J Vörösmarty,et al.  Potential evaporation functions compared on US watersheds: Possible implications for global-scale water balance and terrestrial ecosystem modeling , 1998 .

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

[25]  Edward N. Lorenz,et al.  The nature and theory of the general circulation of the atmosphere , 1967 .

[26]  Roger A. Pielke,et al.  Coupled Atmosphere–Biophysics–Hydrology Models for Environmental Modeling , 2000 .

[27]  J. Louis A parametric model of vertical eddy fluxes in the atmosphere , 1979 .

[28]  Eugenia Kalnay,et al.  Rules for Interchange of Physical Parameterizations , 1989 .

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

[30]  W. Gutowski,et al.  Effect of Ocean Surface Heterogeneity on Climate Simulation , 1998 .

[31]  David A. Randall,et al.  Alternative methods for specification of observed forcing in single-column models and cloud system models , 1999 .

[32]  Leonard F. Konikow,et al.  Modeling flow and chemical quality changes in an irrigated stream‐aquifer system , 1974 .

[33]  K. Liou,et al.  Parameterization of Infrared Radiative Transfer in Cloudy Atmospheres , 1981 .

[34]  William H. Press,et al.  Numerical Recipes in Fortran 77 , 1992 .

[35]  M. Alexander,et al.  Atomic oxygen in the Martian thermosphere , 1992 .

[36]  K. Liou,et al.  Theory of Equilibrium Temperatures in Radiative-Turbulent Atmospheres , 1983 .

[37]  W. Gutowski,et al.  Long Simulation of Regional Climate as a Sequence of Short Segments , 1999 .

[38]  R. Dickinson,et al.  Biosphere-Atmosphere Transfer Scheme (BATS) version le as coupled to the NCAR community climate model. Technical note. [NCAR (National Center for Atmospheric Research)] , 1993 .

[39]  Joseph Sela,et al.  Spectral Modeling at the National Meteorological Center , 1980 .

[40]  J. Garratt The Atmospheric Boundary Layer , 1992 .

[41]  J. Famiglietti,et al.  A catchment scale water balance model for FIFE , 1992 .

[42]  K. Liou,et al.  A Numerical Experiment on the Interactions of Radiation, Clouds and Dynamic Processes in a General Circulation Model , 1984 .

[43]  J. E. Putnam,et al.  Water Resources Data, Kansas, Water Year 1996 , 1997 .

[44]  Thomas C. Winter,et al.  THE CONCEPT OF HYDROLOGIC LANDSCAPES 1 , 2001 .

[45]  D. Stensrud Importance of Low-Level Jets to Climate: A Review. , 1996 .

[46]  Eric A. Smith,et al.  Surface flux measurements in FIFE: An overview , 1992 .

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

[48]  Ann Henderson-Sellers,et al.  Biosphere-atmosphere transfer scheme(BATS) version 1e as coupled to the NCAR community climate model , 1993 .

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

[50]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[51]  F. Giorgi,et al.  Use of output from high-resolution atmospheric models in landscape-scale hydrologic models: An assessment , 1993 .

[52]  W. G. V. BALCHIN Water Resources of the United States , 1961, Nature.

[53]  P. Sellers,et al.  The First ISLSCP Field Experiment (FIFE) , 1988 .