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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences Discussions</journal_title>
		<journal_url>www.hydrol-earth-syst-sci-discuss.net</journal_url>
		<issn>1812-2108</issn>
		<eissn>1812-2116</eissn>
		<volume_number>5</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/hessd-5-1319-2008</doi>
	<article_url>http://www.hydrol-earth-syst-sci-discuss.net/5/1319/2008/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci-discuss.net/5/1319/2008/hessd-5-1319-2008.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci-discuss.net/5/1319/2008/hessd-5-1319-2008.pdf</fulltext_pdf>
	<start_page>1319</start_page>
	<end_page>1370</end_page>
	<publication_date>2008-06-11</publication_date>
	<article_title content_type="html">Improvement, calibration and validation of a distributed hydrological model over France</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. Quintana Seguí</name>
			<email>pere.quintana-segui@meteo.fr</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>E. Martin</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>F. Habets</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>J. Noilhan</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CNRM-GAME, Météo-France CNRS, 42 av. G. Coriolis, 31057 Toulouse Cedex, France</affiliation>
		<affiliation numeration="2" content_type="html">UMR Sisyphe, Université Pierre et Marie Curie CNRS, Centre de Géosciences, 35 rue St Honoré, 77305 Fontainebleau, France</affiliation>
	</affiliations>
	<abstract content_type="html">The hydrometeorological model SAFRAN-ISBA-MODCOU (SIM) computes water and
      energy budgets on the land surface and riverflows and the level of several
      aquifers at the scale of France.  SIM is composed of a meteorological
      analysis system (SAFRAN), a land surface model (ISBA) and a
      hydrogeological model (MODCOU).  In this study, an exponential profile of
      hydraulic conductivity at saturation is introduced to the model and its
      impact analysed. It is also studied how calibration modifies the
      performance of the model. A very simple method of calibration is
      implemented and applied to the parameters of hydraulic conductivity and
      subgrid runoff.  The study shows that a better description of the hydraulic
      conductivity of the soil is important to simulate more realistic
      discharges.  It is also shown that the calibrated model is more robust than
      the original SIM.  In fact, the calibration mainly affects the processes
      related to the dynamics of the flow (drainage and runoff), and the rest of
      relevant processes  (like evaporation) remain stable.  It is also proven
      that it is only worth introducing the new empirical parameterization of
      hydraulic conductivity if it is accompanied by a calibration of its
      parameters, otherwise the simulations can be degraded.  In conclusion, it
      is shown that the new parameterization is necessary to obtain good
      simulations. Calibration is a tool that must be used to improve the
      performance of distributed models like SIM that have some empirical
      parameters.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Andersen, J., Refsgaard, J C., and Jensen, K H.: Distributed hydrological modelling of the Senegal River Basin &amp;ndash; model construction and validation, J. Hydrol., 247, 200&amp;ndash;214, 2001. </reference>
		<reference numeration="2" content_type="text"> Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18&amp;ndash;36, 2006. </reference>
		<reference numeration="3" content_type="text"> Beven, K. and Kirby, M.: A physically based variable contribution area model of basin hydrology, Hydrol. Sci. Bull., 24, 43&amp;ndash;69, 1979. </reference>
		<reference numeration="4" content_type="text"> Boone, A.: Modélisation des processus hydrologiques dans le schéma de surface ISBA: Inclusion d&apos;un réservoir hydrologique, du gel et modélisation de la neige, PhD thesis, Université Paul Sabatier (Toulouse III), 2000. </reference>
		<reference numeration="5" content_type="text"> Boone, A. and Etchevers, P.: An Intercomparison of Three Snow Schemes of Varying Complexity Coupled to the Same Land Surface Model: Local-Scale Evaluation at an Alpine Site, J. Hydrometeorol., 2, 374&amp;ndash;394, 2001. </reference>
		<reference numeration="6" content_type="text"> Boone, A., Calvet, J C., and Noilhan, J.: Inclusion of a Third Soil Layer in a Land Surface Scheme Using the Force-Restore Method, J. Appl. Meteorol., 38, 1611&amp;ndash;1630, 1999. </reference>
		<reference numeration="7" content_type="text"> Caballero, Y., Voirin-Morel, S., Habets, F., Noilhan, J., LeMoigne, P., Lehenaff, A., and Boone, A.: Hydrological sensitivity of the Adour-Garonne river basin to climate change, Water. Resour. Res., 43, W07448, doi:10.1029/2005WR004192, 2007. </reference>
		<reference numeration="8" content_type="text"> 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&amp;ndash;2014, 2001. </reference>
		<reference numeration="9" content_type="text"> Clapp, R B. and Hornberger, G M.: Empirical Equations for Some Soil Hydraulic Properties, Water. Resour. Res., 14, 601&amp;ndash;604, 1978. </reference>
		<reference numeration="10" content_type="text"> Courtier, P., Freydier, C., Geleyn, J F., Rabier, F., and Rochas, M.: The Arpège project at Météo-France, Reading, European Centre for Medium-range Weather Forecast, 193&amp;ndash;232, 1991. </reference>
		<reference numeration="11" content_type="text"> Deardorff, J W.: A Parameterization of Ground-Surface Moisture Content for Use in Atmospheric Prediction Models, J. Appl. Meteorol., 16, 1182&amp;ndash;1185, 1977. </reference>
		<reference numeration="12" content_type="text"> Decharme, B. and Douville, H.: Global validation of the ISBA sub-grid hydrology, Clim. Dynam., 29, 21&amp;ndash;37, 2007. </reference>
		<reference numeration="13" content_type="text"> Decharme, B. and Douville, H.: Introduction of a sub-grid hydrology in the ISBA land surface model, Clim. Dynam., 26, 65&amp;ndash;78, 2006. </reference>
		<reference numeration="14" content_type="text"> 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&amp;ndash;80, 2006. </reference>
		<reference numeration="15" content_type="text"> Dümenil, L. and Todini, E.: A rainfall-runoff scheme for use in the Hamburg climate model., p. 462, McGraw Hil, New York, 1992. </reference>
		<reference numeration="16" content_type="text"> Durand, Y., Brun, E., Mérindol, L., Guyomarc&apos;h, G., Lesaffre, B., and Martin, E.: A meteorological estimation of relevant parameters for snow models, Ann. Glaciol., 18, 65&amp;ndash;71, 1993. </reference>
		<reference numeration="17" content_type="text"> Fenicia, F., Savenije, H. H G., Matgen, P., and Pfister, L.: Is the groundwater reservoir linear? Learning from data in hydrological modelling, Hydrol. Earth Syst. Sci., 10, 139&amp;ndash;150, 2006. </reference>
		<reference numeration="18" content_type="text"> Habets, F.: Modélisation du cycle continental de l&apos;eau à l&apos;échelle régionale. Application aux bassins versants de l&apos;Adour et du Rhône, PhD thesis, Université Paul Sabatier (Toulouse III), 1998. </reference>
		<reference numeration="19" content_type="text"> Habets, F. and Saulnier, G M.: Subgrid runoff parameterization, Phys. Chem. Earth., 26, 455&amp;ndash;459, 2001. </reference>
		<reference numeration="20" content_type="text"> Habets, F., Etchevers, P., Golaz, C., Leblois, E., Ledoux, E., Martin, E., Noilhan, J., and Ottle, C.: Simulation of the water budget and the river flows of the Rhône basin, J. Geophys. Res., 104, 31 145&amp;ndash;31 172, 1999a. </reference>
		<reference numeration="21" content_type="text"> Habets, F., Noilhan, J., Golaz, C., Goutorbe, J P., Lacarrere, P., Leblois, E., Ledoux, E., Martin, E., Ottle, C., and Vidal-Madjar, D.: The ISBA surface scheme in a macroscale hydrological model applied to the Hapex-Mobilhy area. Part I: Model and database, J. Hydrol., 217, 75&amp;ndash;96, 1999b. </reference>
		<reference numeration="22" content_type="text"> Habets, F., Boone, A., Champeaux, J L., Etchevers, P., Franchistéguy, L., Leblois, E., Ledoux, E., Moigne, P L., Martin, E., Morel, S., Noilhan, J., Quintana-Segu\&apos;i, P., Rousset-Regimbeau, F., and Viennot, P.: The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France, J. Geophys. Res., 113, D06113, doi:10.1029/2007JD008548, 2008. </reference>
		<reference numeration="23" content_type="text"> Henriksen, H J., Troldborg, L., Nyegaard, P., Sonnenborg, T O., Refsgaard, J C., and Madsen, B.: Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280, 52&amp;ndash;71, 2003. </reference>
		<reference numeration="24" content_type="text"> Kirchner, J W.: Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology, Water. Resour. Res., 42, W03S04, doi:10.1029/2005WR00436, 2006. </reference>
		<reference numeration="25" content_type="text"> Klemes, V.: Operational testing of hydrological simulation models, Hydrolog. Sci. J., 31, 13&amp;ndash;24, 1986. </reference>
		<reference numeration="26" content_type="text"> Ledoux, E., Girard, G., de~Marsilly, G., and Deschenes, J.: Spatially distributed modeling: conceptual approach, coupling surface water and ground water, 435&amp;ndash;454, Kluwer Academic, Dordrecht, 1989. </reference>
		<reference numeration="27" content_type="text"> Masson, V., Champeaux, J.-L., Chauvin, F., Meriguet, C., and Lacaze, R.: A Global Database of Land Surface Parameters at 1-km Resolution in Meteorological and Climate Models, J. Climate, 16, 1261&amp;ndash;1282, 2003. </reference>
		<reference numeration="28" content_type="text"> Merz, R. and Bloschl, G.: Regionalisation of catchment model parameters, J. Hydrol., 287, 95&amp;ndash;123, 2004. </reference>
		<reference numeration="29" content_type="text"> Mitchell, K E., Lohmann, D., Houser, P. R., et al.: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823, 2004. </reference>
		<reference numeration="30" content_type="text"> Montaldo, N. and Albertson, J D.: On the Use of the Force-Restore SVAT Model Formulation for Stratified Soils, J. Hydrometeorol., 2, 571&amp;ndash;578, 2001. </reference>
		<reference numeration="31" content_type="text"> Moussa, R., Chahinian, N., and Bocquillon, C.: Distributed hydrological modelling of a Mediterranean mountainous catchment &amp;ndash; Model construction and multi-site validation, J. Hydrol., 337, 35&amp;ndash;51, 2007. </reference>
		<reference numeration="32" content_type="text"> Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models. Part I: A discussion of principles, J. Hydrol., 10, 282&amp;ndash;290, 1970. </reference>
		<reference numeration="33" content_type="text"> Niu, G Y. and Yang, Z L.: The versatile integrator of surface atmospheric processes. Part 2: Evaluation of three topography-based runoff schemes, Global Planet. Change, 38, 191&amp;ndash;120, 2003. </reference>
		<reference numeration="34" content_type="text"> Noilhan, J. and Mahfouf, J.: The ISBA land surface parameterisation scheme, Global Planet. Change, 13, 145&amp;ndash;159, 1996. </reference>
		<reference numeration="35" content_type="text"> Noilhan, J. and Planton, S.: A Simple Parameterization of Land Surface Processes for Meteorological Models, Mon. Weather Rev., 117, 536&amp;ndash;549, 1989. </reference>
		<reference numeration="36" content_type="text"> Parajka, J., Blöschl, G., and Merz, R.: Regional calibration of catchment models: Potential for ungauged catchments, Water. Resour. Res., 43, W06406, doi:10.1029/2006WR005271, 2007. </reference>
		<reference numeration="37" content_type="text"> Perrin, C., Michel, C., and Andreassian, V.: Does a large number of parameters enhance model performance?: Comparative assessment of common catchment model structures on 429 catchments, J. Hydrol., 242, 275&amp;ndash;301, 2001. </reference>
		<reference numeration="38" content_type="text"> Quinn, P F., Beven, K J., and Lamb, R.: The ln (a/tanb) index: How to calculate it and how to use it within the topmodel framework, Hydrol. Process., 9, 161&amp;ndash;182, 1995. </reference>
		<reference numeration="39" content_type="text"> Quintana-Segu\&apos;i, P., Moigne, P L., Durand, Y., Martin, E., Habets, F., Baillon, M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of Near-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over France, J. Appl. Meteorol. Clim., 47, 92&amp;ndash;107, 2008. </reference>
		<reference numeration="40" content_type="text"> Refsgaard, J C.: Parameterisation, calibration and validation of distributed hydrological models, J. Hydrol., 198, 69&amp;ndash;97, 1997. </reference>
		<reference numeration="41" content_type="text"> Ritter, B. and Geleyn, J F.: A Comprehensive Radiation Scheme for Numerical Weather Prediction Models with Potential Applications in Climate Simulations, Mon. Weather Rev., 120, 303&amp;ndash;325, 1992. </reference>
		<reference numeration="42" content_type="text"> 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&amp;ndash;137, 1997. </reference>
		<reference numeration="43" content_type="text"> Warrach, K., Stieglitz, M., Mengelkamp, H T., and Raschke, E.: Advantages of a Topographically Controlled Runoff Simulation in a Soil-Vegetation-Atmosphere Transfer Model, J. Hydrometeorol., 3, 131&amp;ndash;148, 2002. </reference>
		<reference numeration="44" content_type="text"> Weglarczyk, S.: The interdependence and applicability of some statistical quality measures for hydrological models, J. Hydrol., 206, 98&amp;ndash;103, 1998. </reference>
		<reference numeration="45" content_type="text"> Wood, E F., Lettenmaier, D P., and Zartarian, V G.: A land-surface hydrology parametrization with subgrid variability for general circulation models, J. Geophys. Res., 97, 2717&amp;ndash;2728, 1992. </reference>
		<reference numeration="46" content_type="text"> Xie, Z. and Yuan, F.: A parameter estimation scheme of the land surface model VIC using the MOPEX databases, IAHS Publication, 307, 169&amp;ndash;179, 2006. </reference>
		<reference numeration="47" content_type="text"> Young, I M., Blanchart, E., Chenu, C., Dangerfield, M., Fragoso, C., Grimaldi, M., Ingram, J., and Monrozier, L J.: The interaction of soil biota and soil structure under global change, Glob. Change Biol., 4, 703&amp;ndash;712, 1998. </reference>
		<reference numeration="48" content_type="text"> Zhao, R J.: The Xinanjiang model applied in China, J. Hydrol., 135, 371&amp;ndash;381, 1992. </reference>
	</references>
</article>
