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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>13</volume_number>
		<issue_number>12</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-2399-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/2399/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/2399/2009/hess-13-2399-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/2399/2009/hess-13-2399-2009.pdf</fulltext_pdf>
	<start_page>2399</start_page>
	<end_page>2412</end_page>
	<publication_date>2009-12-14</publication_date>
	<article_title content_type="html">Reducing scale dependence in TOPMODEL using a dimensionless topographic index</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>A. Ducharne</name>
			<email>agnes.ducharne@upmc.fr</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Laboratoire Sisyphe, CNRS/UPMC, Paris, France</affiliation>
	</affiliations>
	<abstract content_type="html">This paper stems from the fact that the topographic index used in TOPMODEL is
not dimensionless. In each pixel &lt;i&gt;i&lt;/i&gt; in a catchment, it is defined as
&lt;i&gt;x&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt;=ln(&lt;i&gt;a&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt;/&lt;i&gt;S&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt;), where &lt;i&gt;a&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt; is the specific contributing area per unit contour length and &lt;i&gt;S&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt; is the topographic slope. In the SI unit
system, &lt;i&gt;a&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt;/&lt;i&gt;S&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt; is in meters, and the unit of &lt;i&gt;x&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt; is problematic. We
propose a simple solution in the widespread cases where the topographic index
is computed from a regular raster digital elevation model (DEM). The pixel
length &lt;i&gt;C&lt;/i&gt; being constant, we can define a dimensionless topographic index
&lt;i&gt;y&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/sub&gt;&lt;/i&gt;=&lt;i&gt;x&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/i&gt;&lt;/sub&gt;-ln&lt;i&gt;C&lt;/i&gt;. Reformulating TOPMODEL equations to use &lt;i&gt;y&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/sub&gt;&lt;/i&gt;
instead of &lt;i&gt;x&lt;/i&gt;&lt;sub&gt;&lt;i&gt;i&lt;/sub&gt;&lt;/i&gt; helps giving the units of all their terms and emphasizes the
scale dependence of these equations via the explicit use of &lt;i&gt;C&lt;/i&gt; outside from
the topographic index, in what can be defined as the transmissivity at
saturation per unit contour length &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;0&lt;/sub&gt;/&lt;i&gt;C&lt;/i&gt;. The term ln&lt;i&gt;C&lt;/i&gt; defines the
numerical effect of DEM resolution, which contributes to shift the spatial
mean &lt;span style=&quot;border-top: 1px solid #000; color: #000;&quot;&gt;&lt;i&gt;x&lt;/i&gt;&lt;/span&gt; of the classical topographic index when the DEM cell size
&lt;i&gt;C&lt;/i&gt; varies. A key result is that both the spatial mean &lt;span style=&quot;border-top: 1px solid #000; color: #000;&quot;&gt;&lt;i&gt;y&lt;/i&gt;&lt;/span&gt; of the
dimensionless index and &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;0/&lt;i&gt;&lt;/sub&gt;&lt;/i&gt;&lt;i&gt;C&lt;/i&gt; are much more stable with respect to DEM
resolution than their counterparts &lt;span style=&quot;border-top: 1px solid #000; color: #000;&quot;&gt;&lt;i&gt;x&lt;/i&gt;&lt;/span&gt; and &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;0&lt;/sub&gt; in the classical
framework. This shows the importance of the numerical effect in the
dependence of the classical topographic index to DEM resolution, and reduces
the need to recalibrate TOPMODEL when changing DEM resolution.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Ambroise, B., Beven, K J., and Freer, J.: Toward a generalization of the TOPMODEL concepts: Topographic indices of hydrological similarity, Water Resour. Res., 32, 2135–2145, 1996. </reference>
		<reference numeration="2" content_type="text"> Beven, K.: Hillslope runoff processes and flood frequency characteristics, in: Hillslope processes, edited by: Abrahams, S D., Allen and Unwin, Boston, USA, 187–202, 1986. </reference>
		<reference numeration="3" content_type="text"> Beven, K. and Freer, J.: A dynamic TOPMODEL, Hydrol. Process., 15, 1993–201, 2001a. </reference>
		<reference numeration="4" content_type="text"> Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems, J Hydrol., 249, 11–29, 2001b. </reference>
		<reference numeration="5" content_type="text"> Beven, K. and Kirkby, M J.: A physically based variable contributing area model of basin hydrology, Hydrol. Sci. Bull., 24, 43–69, 1979. </reference>
		<reference numeration="6" content_type="text"> Beven, K J. and Binley, A M.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process, 6, 279–298, 1992. </reference>
		<reference numeration="7" content_type="text"> Brasington, J. and Richards, K.: Interactions between model predictions, parameters and DTM scales for TOPMODEL, Comput. Geosci., 24, 299–314, doi:10.1016/S0098-3004(97)00081-2, 1998. </reference>
		<reference numeration="8" content_type="text"> Brasington, J. and Richards, K.: Turbidity and suspended sediment dynamics in small catchments in the Nepal Middle Hills, Hydrol. Process., 14, 2559–2574, 2000. </reference>
		<reference numeration="9" content_type="text"> Bruneau, P., Gascuel-Odoux, C., Robin, P., Mérot, P., and Beven, K.: Sensitivity to space and time resolution of a hydrological model using digital elevation data, Hydrol. Process., 9, 69–81, 1995. </reference>
		<reference numeration="10" content_type="text"> Cappus: Etude des lois d&apos;écoulement – Application au calcul et à la prevision des débits, Bassin expérimental d&apos;Alrance, La Houille Blanche, 60, 493–520, 1960. </reference>
		<reference numeration="11" 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 Clim., 14, 1989–2014, 2001. </reference>
		<reference numeration="12" content_type="text"> Curie, F., Gaillard, S., Ducharne, A., and Bendjoudi, H.: Geomorphological methods to characterize wetlands at the scale of the Seine watershed, Sci. Total. Environ., 375, 59–68, doi:10.1016/j.scitotenv.2006.12.013, 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. Dyn., 26, 65–78, doi:10.1007/s00382-005-0059-7, 2006. </reference>
		<reference numeration="14" content_type="text"> Duan, J. and Miller, N L.: A generalized power function for the subsurface transmissivity profile in TOPMODEL, Water Resour. Res., 33, 2559–2562, 1997. </reference>
		<reference numeration="15" content_type="text"> Ducharne, A., Koster, R D., Suarez, M., Stieglitz, M., and Kumar, P.: A catchment-based approach to modeling land surface processes in a GCM – Part 2: Parameter estimation and model demonstration, J Geophys Res., 105, 24823–24838, 2000. </reference>
		<reference numeration="16" content_type="text"> Famiglietti, J S. and Wood, E F.: Multiscale modeling of spatially variable water and energy balance processes, Water Resour. Res., 30, 3061–3078, 1994. </reference>
		<reference numeration="17" content_type="text"> Franchini, M., Wendling, J., Obled, C., and Todini, E.: Physical interpretation and sensitivity analysis of the TOPMODEL, J Hydrol., 175, 293–338, 1996. </reference>
		<reference numeration="18" content_type="text"> Freer, J., Beven, K J., and Ambroise, B.: Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach, Water Resour. Res., 32, 2161–2173, 1996. </reference>
		<reference numeration="19" content_type="text"> Gallart, F., Latron, J., Llorens, P., and Beven, K.: Using internal catchment information to reduce the uncertainty of discharge and baseflow predictions, Adv. Water Resour., 30, 808–823, doi:10.1016/j.advwatres.2006.06.005, 2007. </reference>
		<reference numeration="20" content_type="text"> Gascoin, S., Ducharne, A., Ribstein, P., Carli, M., and Habets, F.: Adaptation of a catchment-based land surface model to the hydrogeological setting of the Somme River basin (France), J Hydrol., 368, 105–116, doi:10.1016/j.jhydrol.2009.01.039, 2009. </reference>
		<reference numeration="21" content_type="text"> Higy, C. and Musy, A.: Digital terrain analysis of the Haute-Mentue catchment an scale effect for hydrological modelling with TOPMODEL, Hydrol. Earth Syst. Sci., 4, 225–237, 2000. </reference>
		<reference numeration="22" content_type="text"> Holmgren, P.: Multiple flow direction algorithms for runoff modelling in grid based elevation models: An empirical evaluation, Hydrol. Process., 8, 327–334, 1994. </reference>
		<reference numeration="23" content_type="text"> Ibbitt, R. and Woods, R.: Re-scaling the topographic index to improve the representation of physical processes in catchment models, J Hydrol., 293, 205–218, doi:10.1016/j.jhydrol.2004.01.016, 2004. </reference>
		<reference numeration="24" content_type="text"> Iorgulescu, I. and Jordan, J.-P.: Validation of TOPMODEL on a small Swiss catchment, J Hydrol., 159, 255–273, 1994. </reference>
		<reference numeration="25" content_type="text"> Jenson, S K. and Domingue, J O.: Extracting topographic structure from digital elevation data for geographic information system analysis, Photogramm. Eng. Rem. S., 54, 1593–1600, 1988. </reference>
		<reference numeration="26" content_type="text"> Koster, R D., Suarez, M., Ducharne, A., Stieglitz, M., and Kumar, P.: A catchment-based approach to modeling land surface processes in a GCM – Part 1: Model structure, J Geophys Res., 105, 24809–24822, 2000. </reference>
		<reference numeration="27" content_type="text"> Kumar, P., Verdin, K L., and Greenlee, S K.: Basin level statistical properties of topographic index for North America, Adv. Water Resour., 23, 571–578, 2000. </reference>
		<reference numeration="28" content_type="text"> Lee, G., Tachikawa, Y., and Takara, K.: Analysis of Hydrologic Model Parameter Characteristics Using Automatic Global Optimization Method, Annals of Disaster Prevention Research Institute, 67–80, 2006. </reference>
		<reference numeration="29" content_type="text"> Mendicino, G. and Sole, A.: The information content theory for the estimation of the topographic index distribution used in TOPMODEL, Hydrol. Process., 11, 1099–1114, 1997. </reference>
		<reference numeration="30" content_type="text"> Mérot, P., Ezzahar, B., ~Walter, C., and Aurousseau, P.: Mapping waterlogging of soils using digital terrain models, Hydrol. Process., 9, 27–34, 1995. </reference>
		<reference numeration="31" content_type="text"> Nash, J E. and Sutcliffe, J V.: River flow forecasting through conceptual models. 1. A discussion of principles, J Hydrol., 10, 282–290, 1970. </reference>
		<reference numeration="32" content_type="text"> Niu, G.-Y., Yang, Z.-L., Dickinson, R E., and Gulden, L E.: A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models, J Geophys Res., 110, D21 106, doi:10.1029/2005JD006111, 2005. </reference>
		<reference numeration="33" content_type="text"> Obled, C., Wendling, J., and Beven, K.: The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data, J Hydrol., 159, 305–333, 1994. </reference>
		<reference numeration="34" content_type="text"> Pan, F., Peters-Lidard, C D., Sale, M J., and King, A W.: Comparison of geographical information systems-based algorithms for computing the TOPMODEL topographic index, Water Resour. Res., 40, W06 303, doi:10.1029/2004WR003069, 2004. </reference>
		<reference numeration="35" content_type="text"> Peters-Lidard, C D., Zion, M S., and Wood, E F.: A soil-vegetation-atmosphere transfer scheme for modelling spatially variable water and energy balance processes, J Geophys Res., 102, 4303–4324, 1997. </reference>
		<reference numeration="36" content_type="text"> Pradhan, N R., Tachikawa, Y., and Takara, K.: A downscaling method of topographic index distribution for matching the scales of model application and parameter identification, Hydrol. Process., 20, 1385–1405, 2006. </reference>
		<reference numeration="37" content_type="text"> Pradhan, N R., Ogden, F L., Tachikawa, Y., and Takara, K.: Scaling of slope, upslope area and soil water deficit: implications for transferability and regionalization in topographic index modeling, Water Resour. Res., 44, W12 421, doi:0.1029/2007WR006667, 2008. </reference>
		<reference numeration="38" content_type="text"> Quinn, P., Beven, K., Chevallier, P., and Planchon, O.: The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models, Hydrol. Process., 5, 59–79, 1991. </reference>
		<reference numeration="39" content_type="text"> Quinn, P., Beven, K., and Lamb, R.: The ln(a/tan\protectB) index: how to calculate it and how to use it within the TOPMODEL framework, Hydrol. Process., 9, 161–182, 1995. </reference>
		<reference numeration="40" content_type="text"> Saulnier, G.-M., Beven, K., and Obled, C.: Digital elevation analysis for distributed hydrological modelling: reducing scale dependence in effective hydraulic conductivity values, Water Resour. Res., 33, 2097–2101, 1997a. </reference>
		<reference numeration="41" content_type="text"> Saulnier, G.-M., Obled, C., and Beven, K.: Analytical compensation between \protectDTM grid resolution and effective values of saturated hydraulic conductivity within the \protectTOPMODEL framework, Hydrological processes, 11, 1331–1346, 1997b. </reference>
		<reference numeration="42" content_type="text"> Seibert, J. and McGlynn, B L.: A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models, Water Resour. Res., 43, W04 501, doi:0.1029/2006WR005128, 2006. </reference>
		<reference numeration="43" content_type="text"> Shannon, C E. and Weaver, W.: The Mathematical Theory of Communication, University of Illinois Press, Urbana, IL, 117~pp., 1949. </reference>
		<reference numeration="44" content_type="text"> Sivapalan, M., Beven, K., and Wood, E F.: On Hydrologic Similarity : 2. \protectA Scaled Model of Storm Runoff Production, Water Resour. Res., 23, 2266–2278, 1987. </reference>
		<reference numeration="45" content_type="text"> Sørensen, R. and Seibert, J.: Effects of DEM resolution on the calculation of topographical indices: TWI and its components, J Hydrol., 347, 79–89, 2007. </reference>
		<reference numeration="46" content_type="text"> Sørensen, R., Zinko, U., and Seibert, J.: On the calculation of the topographic wetness index: evaluation of different methods based on field observations, Hydrol. Earth Syst. Sci., 10, 101–112, 2006.  </reference>
		<reference numeration="47" content_type="text"> Stieglitz, M., Rind, M., Famiglietti, J., and Rosenzweig, C.: An efficient approach to modeling the topographic control of surface hydrology for regional and global modeling, J Clim., 10, 118–137, 1997. </reference>
		<reference numeration="48" content_type="text"> Tallaksen, L M.: A review of baseflow recession analysis, J Hydrol., 165, 349–370, doi:10.1016/0022-1694(94)02540-R, 1995. </reference>
		<reference numeration="49" content_type="text"> Tarboton, D G.: A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33, 309–319, 1997. </reference>
		<reference numeration="50" content_type="text"> Valeo, C. and Moin, S. M A.: Grid-resolution effects on a model for integrating urban and rural areas, Hydrol. Process., 14, 2505–2525, 2000. </reference>
		<reference numeration="51" content_type="text"> Wolock, D. and McCabe, G.: Differences in topographic characteristics computed from 100- and 1000-meter resolution digital elevation model data, Hydrol. Process., 14, 987–1002, 2000. </reference>
		<reference numeration="52" content_type="text"> Wolock, D M. and McCabe, G J.: Comparison of single and multiple flow direction algorithms for computing topographic parameters in TOPMODEL, Water Resour. Res., 31, 1315–1324, 1995. </reference>
		<reference numeration="53" content_type="text"> Wolock, D M. and Price, C V.: Effects of digital elevation model map scale and data resolution on a topography-based watershed model, Water Resour. Res., 30, 3041–3052, 1994. </reference>
		<reference numeration="54" content_type="text"> Wu, S., Li, J. and Huang, G H.: Modeling the effects of elevation data resolution on the performance of topography-based watershed runoff simulation, Environ. Modell. Softw., 22, 1250–1260, doi:10.1016/j.envsoft.2006.08.001, 2007. </reference>
		<reference numeration="55" content_type="text"> Zhang, W. and Montgomery, D R.: Digital elevation model grid size, landscape representation, and hydrologic simulations, Water Resour. Res., 30, 1019–1028, 1994. </reference>
	</references>
</article>

