Introduction of a sub-grid hydrology in the ISBA land surface model

In atmospheric models, the partitioning of precipitation between infiltration and runoff has a major influence on the terrestrial water budget, and thereby on the simulated weather or climate. River routing models are now available to convert the simulated runoff into river discharge, offering a good opportunity to validate land surface models at the regional scale. However, given the low resolution of global atmospheric models, the quality of the hydrological simulations is much dependent on various processes occurring on unresolved spatial scales. This paper focuses on the parameterization of sub-grid hydrological processes within the ISBA land surface model. Five off-line simulations are performed over the French Rhône river basin, including various sets of parameterizations related to the sub-grid variability of topography, precipitation, maximum infiltration capacity and land surface properties. Parallel experiments are conducted at a high (8 km by 8 km) and low (1° by 1°) resolution, in order to test the robustness of the simulated water budget. Additional simulations are performed using the whole package of sub-grid parameterizations plus an exponential profile with depth of saturated hydraulic conductivity, in order to investigate the interaction between the vertical soil physics and the horizontal heterogeneities. All simulations are validated against a dense network of gauging measurements, after the simulated runoff is converted into discharge using the MODCOU river routing model. Generally speaking, the new version of ISBA, with both the sub-grid hydrology and the modified hydraulic conductivity, shows a better simulation of river discharge, as well as a weaker sensitivity to model resolution. The positive impact of each individual sub-grid parameterization on the simulated discharges is more obvious at the low resolution, whereas the high-resolution simulations are more sensitive to the exponential profile with depth of saturated hydraulic conductivity.

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

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

[3]  Gregory J. McCabe,et al.  Differences in topographic characteristics computed from 100- and 1000-m resolution digital elevation model data , 2000 .

[4]  J. Deardorff.  A Parameterization of Ground-Surface Moisture Content for Use in Atmospheric Prediction Models , 1977 .

[5]  J. Mahfouf,et al.  The ISBA land surface parameterisation scheme , 1996 .

[6]  R. H. Brooks,et al.  Properties of Porous Media Affecting Fluid Flow , 1966 .

[7]  M. Castro,et al.  Sensitivity of the Continental Hydrological Cycle to the Spatial Resolution over the Iberian Peninsula , 2004 .

[8]  R. Koster,et al.  Modeling the land surface boundary in climate models as a composite of independent vegetation stands , 1992 .

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

[10]  Jean-Christophe Calvet,et al.  Inclusion of a Third Soil Layer in a Land Surface Scheme Using the Force–Restore Method , 1999 .

[11]  J. Smith,et al.  Fractional coverage of rainfall over a grid: Analyses of NEXRAD data over the southern Plains , 1996 .

[12]  Zhongbo Yu.  Assessing the response of subgrid hydrologic processes to atmospheric forcing with a hydrologic model system. , 2000 .

[13]  F. Habets,et al.  Subgrid runoff parameterization , 2001 .

[14]  J. Royer,et al.  A new snow parameterization for the M 6 t 6 o-France climate model Part II : validation in a 3-D GCM experiment , 2022 .

[15]  Richard Essery,et al.  Explicit representation of subgrid heterogeneity in a GCM land surface scheme , 2003 .

[16]  Jean-François Mahfouf,et al.  A new snow parameterization for the Météo-France climate model , 1995 .

[17]  E. Todini,et al.  A rainfall–runoff scheme for use in the Hamburg climate model , 1992 .

[18]  E. Martin,et al.  A meteorological estimation of relevant parameters for snow models , 1993 .

[19]  H. Giordani,et al.  The Land Surface Scheme ISBA within the Météo-France Climate Model ARPEGE. Part I. Implementation and Preliminary Results , 1995 .

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

[21]  G. Hornberger,et al.  Empirical equations for some soil hydraulic properties , 1978 .

[22]  C. Rosenzweig,et al.  Improved Ground Hydrology Calculations for Global Climate Models (GCMs): Soil Water Movement and Evapotranspiration , 1988 .

[23]  A. Ducharne,et al.  Development of a high resolution runoff routing model, calibration and application to assess runoff from the LMD GCM , 2003 .

[24]  S. Planton,et al.  A Simple Parameterization of Land Surface Processes for Meteorological Models , 1989 .

[25]  H. Giordani,et al.  Modelling the surface processes and the atmospheric boundary layer for semi-arid conditions , 1996 .

[26]  D. Vidal-Madjar,et al.  The ISBA surface scheme in a macroscale hydrological model applied to the Hapex-Mobilhy area Part I: Model and database , 1999 .

[27]  R. Koster,et al.  The Rhône-Aggregation Land Surface Scheme Intercomparison Project: An Overview , 2002 .

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

[29]  J. Mahfouf,et al.  Inclusion of Gravitational Drainage in a Land Surface Scheme Based on the Force-Restore Method. , 1996 .

[30]  H. Douville.  Assessing the Influence of Soil Moisture on Seasonal Climate Variability with AGCMs , 2003 .

[31]  Etienne Leblois,et al.  Simulation of the water budget and the river flows of the Rhone basin , 1999 .

[32]  Zong-Liang Yang,et al.  The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons , 1998 .

[33]  J.-L. Champeaux,et al.  AVHRR-derived vegetation mapping over Western Europe for use in Numerical Weather Prediction models , 2000 .

[34]  F. Chauvin,et al.  Sensitivity of the hydrological cycle to increasing amounts of greenhouse gases and aerosols , 2002 .

[35]  Patch scale aggregation of heterogeneous land surface cover for mesoscale meteorological models , 1997 .

[36]  T. Oki,et al.  Off-line simulation of the Amazon water balance: a sensitivity study with implications for GSWP , 2002 .

[37]  Florence Habets,et al.  Impact of an Exponential Profile of Saturated Hydraulic Conductivity within the ISBA LSM: Simulations over the Rhône Basin , 2006 .

[38]  R. Haverkamp,et al.  Bare-ground surface heat and water exchanges under dry conditions: Observations and parameterization , 1993 .

[39]  J. Noilhan,et al.  GCM grid-scale evaporation from mesoscale modeling , 1995 .

[40]  Clemens Simmer,et al.  The Influence of Hydrologic Modeling on the Predicted Local Weather: Two-Way Coupling of a Mesoscale Weather Prediction Model and a Land Surface Hydrologic Model , 2002 .

[41]  Eric F. Wood,et al.  A land-surface hydrology parameterization with subgrid variability for general circulation models , 1992 .

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

[43]  Eric F. Wood,et al.  A soil‐vegetation‐atmosphere transfer scheme for modeling spatially variable water and energy balance processes , 1997 .

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

[45]  P. S. Eagleson,et al.  Land Surface Hydrology Parameterization for Atmospheric General Circulation models Including Subgrid Scale Spatial Variability , 1989 .

[46]  Taikan Oki,et al.  Assessment of Annual Runoff from Land Surface Models Using Total Runoff Integrating Pathways (TRIP) , 1999 .

[47]  Lars-Christer Lundin,et al.  Surface runoff and soil water percolation as affected by snow and soil frost , 1991 .

[48]  Praveen Kumar,et al.  Topographic Influence on the Seasonal and Interannual Variation of Water and Energy Balance of Basins in North America , 2001 .

[49]  Florence Habets,et al.  On the utility of operational precipitation forecasts to served as input for streamflow forecasting , 2004 .

[50]  J. Mahfouf,et al.  Comparative Study of Various Formulations of Evaporations from Bare Soil Using In Situ Data , 1991 .

[51]  Pierre Etchevers,et al.  Simulation of the water budget and the river flows of the Rhone basin from 1981 to 1994 , 2001 .

[52]  A. J. Dolman,et al.  The Pilot Phase of the Global Soil Wetness Project , 1999 .

[53]  Zhao Ren-jun,et al.  The Xinanjiang model applied in China , 1992 .

[54]  G. Niu,et al.  The Versatile Integrator of Surface and Atmosphere processes: Part 1. Model description , 2003 .

[55]  Aaron Boone,et al.  The Influence of the Inclusion of Soil Freezing on Simulations by a Soil–Vegetation–Atmosphere Transfer Scheme , 2000 .