Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 12 6 2008 10.5194/hess-12-1387-2008 http://www.hydrol-earth-syst-sci.net/12/1387/2008/ http://www.hydrol-earth-syst-sci.net/12/1387/2008/hess-12-1387-2008.html http://www.hydrol-earth-syst-sci.net/12/1387/2008/hess-12-1387-2008.pdf 1387 1401 2008-12-15 Sensitivity of the West African hydrological cycle in ORCHIDEE to infiltration processes T. d'Orgeval tristan.dorgeval@lmd.jussieu.fr J. Polcher P. de Rosnay UPMC/LMD, Paris, France (Université Pierre et Marie Curie / Laboratoire de Météorologie Dynamique) CNRS/LMD, Paris, France (Centre National de la Recherche Scientifique / Laboratoire de Météorologie Dynamique) CNRS/CESBIO, Toulouse, France (Centre National de la Recherche Scientifique / Centre d'Etudes Spatiales de la BIOsphère) The aim of this article is to test the sensitivity of the West African hydrological cycle to infiltration processes and to river reinfiltration pathways. This is done through sensitivity experiments to both inputs and paramterization settings of the ORCHIDEE Land-Surface Model. The parameterizations to take into account the effects of flat areas, ponds and floodplains on surface infiltration, and the effect of roots and deep-soil compactness on infiltration are first described. The sensitivity analysis to parameterization settings shows that the surface infiltration processes have a stronger impact in the soudano-sahelian region and more generally in semi-arid African regions, whereas the rootzone and deep-soil infiltration also play a role in the guinean and intermediate regions between arid and humid ones. In the equatorial and semi-humid regions, infiltration processes generally play a minor role. The infiltration parameterizations may explain part of the difference between simulated and observed river discharge in semi-arid and intermediate basins. The sensitivity analysis to the Land-Surface Model inputs shows that different sources of uncertainty might also explain part of the error. Indeed, the precipitation forcing in the whole West African region, the long-term storage in the soudano-sahelian region, the soil types in the guinean region and the vegetation types in the equatorial region are significant sources of errors. Therefore, observations and analyses of small scale infiltration processes as well as continuous measurements of river discharges in West Africa are essential to ensure the reliability of future calibration for the infiltration parameterizations. Beven, K.: Macropores and water flow in soils, Water Resour. Res., 18, 1311–1325, 1982. Beven, K.: Infiltration into a class of vertically non uniform soils, Hydrolog. Sci. J., 29, 1425–434, 1984. Bonan, G., Oleson, K., Vertenstein, M., Levis, S., Zeng, X., Dai, Y., Dickinson, R., and Yang, Z.-L.: The land surface climatology of the Community Land Model coupled to the NCAR Community Climate Model, J Climate, 15, 3123–3149, 2002. Boone, A. and de~Rosnay, P.: AMMA forcing data for a better understanding of the West African monsoon surface-atmosphere-hydrology interactions. Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resource Management, in: IAHS Publ. proceeding, vol. 313, 2007. Cappelaere, B., Vieux, B., Peugeot, C., Maia, A., and Séguis, L.: Hydrologic process simulation of a semiarid, endoreic catchment in Sahelian West Niger. 2. Model calibration and uncertainty characterization, J Hydrol., 279, 244–261, 2003. Carsel, R. and Parrish, R.: Developing joint probability distributions of soil water retention characteristics, Water Resour. Res., 24, 755–769, 1988. Chen, J. and Kumar, P.: Topographic influence on the seasonal and interannual variation of water and energy balance of basins in North America, J Climate, 14, 1989–2014, 2001. de~Rosnay, P. and Polcher, J.: Improvements of the representation of the hydrological exchanges between the biosphere and the atmosphere in a GCM, Hydrol. Earth Syst. Sci., 2, 239–256, 1998. de~Rosnay, P., Bruen, M., and Polcher, J.: Sensitivity of surface fluxes to the number of layers in the soil model used in GCMs, Geophys Res Lett., 27, 3329–3332, 2000. de~Rosnay, P., Polcher, J., Bruen, M., and Laval, K.: Impact of a physically based soil water flow and soil-plant interaction representation for modeling large scale land surface processes, J Geophys Res., 107(D11), 4118, doi:2001JD000 634, 2002. Decharme, B. and Douville, H.: Introduction of a sub-grid hydrology in the ISBA land surface model, Clim Dynam., 26, 65–78, 2006. Decharme, B., Douville, H., Boone, A., Habets, F., and Noilhan, J.: Impact of an Exponential Profile of Saturated Hydraulic Conductivity within the ISBA LSM: Simulations over the Rhône Basin., J Hydrometeorol., 7, 61–80, 2006. Dirmeyer, P. and Zeng, F.: An update to the distribution and treatment of vegetation and soil properties in SSiB, Tech. Rep. COLA Tech. Report, Center for Ocean-Land-Atmosphere, 25 pp., 1999. Dirmeyer, P., Gao, X., and Oki, T.: The second Global Soil Wetness Project science and implementation plan, Tech. Rep. IGPO Publ. Series, Int. Global Energy and Water Cycle Exp. (GEWEX) Project Office, Silver Spring, Md., 65 pp., 2002. Dirmeyer, P., Gao, X., Zhao, M., Guo, Z., Oki, T., and Hanasaki, N.: The second Global Soil Wetness Project (\protectGSWP-2): Multi-model analysis and implications for our perception of the land surface, B. Am. Meteorol. Soc., 87, 1381–1397, 2006. d'Orgeval, T.: Impact du changement climatique sur le cycle de l'eau en Afrique de l'Ouest: Modélisation et Incertitudes, Ph.D. thesis, Université Paris VI, 188 pp., 2006. d'Orgeval, T. and Polcher, J.: Impacts of precipitation events and land-use changes on West African river discharges during the years 1951–2000, Clim. Dynam., 31, 249–262, 2008. Ek, M., Mitchell, K., Lin, Y., Grunmann, P., Rogers, E., Gayno, G., Koren, V., and Tarpley, J.: Implementation of the upgraded NOAH land-surface model in the NCEP operational mesoscale Eta model, J Geophys Res., 108, 8851, doi:10.1019/2002JD003 296, 2003. Essery, R., Best, M., Betts, R., Cox, P., and Taylor, C.: Explicit representation of subgrid variability in the GCM land surface scheme, J Hydrometeorol., 4, 530–543, 2003. Etchevers, P., Colaz, C., and Habets, F.: Simulation of the water budet and the rivers flows of the Rhône basin from 1981 to 1994, J Hydrol., 244, 60–85, 2001. Fekete, B M., Vorosmarty, C., and Grabs, W.: Global, Composite Runoff Fields Based on Observed River Discharge and Simulated Water Balances, Tech. rep., UNH/GRDC, Global Runoff Data Centre, Koblenz, Germany, 2000. Food and Agriculture Organization: Soil map of the world, scale 1:5000000, Tech. rep., United Nations, volumes I-X, United Nations Educationnal, Scientific and Cultural Organization, Paris, 1978. Gennero, M., Crétaux, J., Bergé-Nguyen, M., Maheu, C., Do~Minh, K., Calmant, S., and Cazenave, A.: Surface water monitoring by satellite altimetry, http://www.legos.obs-mip.fr/soa/hydrologie/hydroweb/, 2006. Goutorbe, J.-P., Lebel, T., Tinga, A., Bessemoulin, P., Brouwer, J., Dolman, A J., Engman, E T., Gash, J. H C., Hopffner, M., Kabat, P., Kerr, Y H., Monteny, B., Prince, S., Said, F., Sellers, P., and Wallace, J S.: HAPEX-Sahel: a large-scale study of land-atmosphere interactions in semi-arid tropics., Ann. Geophys., 12, 53–64, 1994. Guo, Z., Dirmeyer, P., Koster, R., Bonan, G., Chan, E., Cox, P., Gordon, C., Kanae, S., Kowalczik, E., Lawrence, D., Liu, P., Lu, C.-H., Malyshev, S., McAvaney, B., McGregor, J., Mitchell, K., Mocko, D., Oki, T., Oleson, K., Pitman, A., Sud, Y., Taylor, C., Verseghy, D., Vasic, R., Xue, Y., and Yamada, T.: GLACE: The Global Land-Atmosphere Coupling Experiment. Part II: Analysis, J Hydrometeorol., 7, 611–625, 2006. Gusev, Y. and Nasonova, O.: The simulation of heat and water exchange in the boreal spruce forest by the land-surface model SWAP, J Hydrol., 280, 162–191, 2003. Hagemann, S., Botzet, M., Dümenil, L., and Machenhauer, B.: Derivation of global GCM boundary conditions from 1 km land use satellite data, Report, Max-Planck-Institut für Meteorologie, Hamburg, Report No 289, 34 pp., 1998. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, D., Iredella, M., Saha, S., White, G., Woolen, J., Zhu, Y., Leetma, A., and Reynolds, B.: The NCEP-NCAR 40-year reanalysis project, B. Am. Meteorol. Soc., 77, 437–471, 1996. Kanamitsu, M., Ebisuzaki, W., Woollen, J., and Yang, S.: NCEP/DOE AMIP-II Reanalysis (R-2), B. Am. Meteorol. Soc., 93, 1631–1643, 2002. Koster, R D. and Suarez, Max, J.: Modeling the Land surface boundary in climate models as a composite of independent vegetation stands, J Geophys Res., 97, 2697–2715, 1992. Koster, R., Suarez, M., Ducharne, A., Praveen, K., and Stieglitz, M.: A catchement-based approach to modelling land-surface processes in a GCM – Part 1: Model structure, J Geophys Res., 105(D20), 24 809–24 822, 2000. Koster, R D., Dirmeyer, P A., Guo, Z., Bonan, G., Chan, E., Cox, P., Gordon, C T., Kanae, S Kowalczyk, E., Lawrence, D., Liu, P., Lu, C.-H., Malyshev, S., McAvaney, B., Mitchell, K., Mocko, D., Oki, T., Oleson, K., Pitman, A., Sud, Y C., Taylor, C M., Verseghy, D., Vasic, R., Xue, Y., and Yamada, T.: Regions of strong coupling between soil moisture and precipitation, Science, 305, 1138–1140, 2004. Koster, R., Guo, Z., Dirmeyer, P., Bonan, G., Chan, E., Cox, P., Davies, H., Gordon, C., Kanae, S., Kowalczik, E., Lawrence, D., Liu, P., Lu, C.-H., Malyshev, S., McAvaney, B., Mitchell, K., Mocko, D., Oki, T., Oleson, K., Pitman, A., Sud, Y., Taylor, C., Verseghy, D., Vasic, R., Xue, Y., and Yamada, T.: GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview, J Hydrometeorol., 7, 590–610, 2006. Krinner, G., Viovy, N., De~Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Stitch, S., and Prentice, C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, GB1015, doi:10.1029/2003GB002199, 2005. Le~Barbé, L., Lebel, T., and Tabsoba, D.: Rainfall Variability in West Africa during the years 1950–1990, J Climate, 15, 187–202, 2002. Lehner, B. and Doll, P.: Development and validation of a global database of lakes, reservoirs and wetlands, J Hydrol., 296, 1–22, 2004. Manabe, S.: Climate and the ocean circulation 1. The atmospheric circulation and the hydrology of the earth's surface, Mon Weather~Rev., 97, 739–774, 1969. Miller, J R., Russell, G L., and Caliri, G.: Continental-Scale River Flow in Climate Models., J Climate, 7, 914–928, 1994. Milly, P. and Shmakin, A.: Global modeling of land water and energy balances. Part I: The land dynamics (LaD) model, J Hydrometeorol., 3, 283–299, 2002. Mocko, D. and Sud, Y.: Refinements to SSiB with an emphasis on snow-physics: Evaluation and Validation using GSWP and Valda\"i data, Earth Interactions, 5, 31 pp., 2001. Monsi, M. and Saeki, T.: Über den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung für die Stoffproduktion, Jpn. J. Bot., 14, 22–52, 1953. Mualem, Y.: A new model for predicting the hydraulic conductivity of unsaturated porous media, Water Resour. Res., 12, 513–522, 1976. New, M., Hulme, M., and Jones, P D.: Representing twentieth century space-time climate variability. Part 2: Development of 1901–1996 monthly grids of terrestrial surface climate, J Climate, 13, 2217–2238, 2000. Ngo-Duc, T., Polcher, J., and Laval, K.: A 53-year forcing data set for land surface models, J Geophys Res., 110, D06 116, doi:10.1029/2004JD005 435, 2005. Ngo-Duc, T., Laval, K., Ramillien, G., and Polcher, J.: Validation of the land water storage simulated by ORCHIDEE with GRACE data: role of the routing scheme, Water Resour. Res., 43, W04 427, doi:2006WR004 941, 2007. Oki, T., Nishimura, T., and Dirmeyer, P.: Assessment of Land Surface Models by runoff in major river basins of the globe using Total Runoff Integrating Pathways (TRIP), J Meteorol Soc Jpn., 77, 235–255, 1999. Peugeot, C., Cappelaere, B., Vieux, B., Séguis, L., and Maia, A.: Hydrologic process simulation of a semiarid, endoreic catchment in Sahelian West Niger. 1 Model aided data analysis and screening, J Hydrol., 279, 224–243, 2003. Prigent, C., Matthews, E., Aires, F., and Rossow, W.: Remote sensing of global wetland dynamics with multiple satellite datasets, Geophys Res Lett., 24, 4631–4634, 2001. Prigent, C., Papam, F., Aires, F., Rossow, W., and Matthews, E.: Global inundation dynamics inferred from multiple satellite observations, 1993–2000, J Geophys Res., 112, D12107, doi:10.1029/2006JD007847, 2007. R Development Core Team: R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org, ISBN 3-900051-00-3, 2003. Reynolds, C., Jackson, T., and Rawls, W. J.: Estimating Available Water Content by Linking the FAO Soil Map of the World with Global Soil Profile Databases and Pedo-transfer Functions, in: Proceedings of the AGU 1999 Spring Conference, Boston, MA, 1999. Sterling, S. and Ducharne, A.: Comprehensive data set of global land cover change for land surface model applications, Global Biogeochem. Cy., 22, GB3017, doi:10.1029/2007GB002959, 2006. Stieglitz, M., Rind, D., Famiglietti, J., and Rosenzweig, C.: An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling, J Climate, 10, 118–137, 1995. Van~Genuchten, M.: A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980. Yang, Z.-L. and Niu, G.-Y.: The versatile integrator of surface and atmosphere processes (VISA), Part I: Model description, Global and Planetary Change, 38, 175–189, 2003. Yu, Z.: Assessing the response of sub-grid hydrologic processes to atmospheric forcing with a hydrologic model system, Global Planet. Change, 25, 1–17, 2003. Zeng, N., Mariotti, A., and Wetzel, P.: Mechanisms of interannual CO2 variability, Global. Biogeochem. Cy., 19, GB1016, doi:10.1019/2004GB002 273, 2005. Zobler, L.: A world soil file for global climate modeling, Tech. rep., NASA tech. Memo. 87802, 1986.