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<front>
<journal-meta>
<journal-id journal-id-type="publisher">GMD</journal-id>
<journal-title-group>
<journal-title>Geoscientific Model Development</journal-title>
<abbrev-journal-title abbrev-type="publisher">GMD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Geosci. Model Dev.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1991-9603</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/gmd-7-725-2014</article-id>
<title-group>
<article-title>Snow water equivalent modeling components in NewAge-JGrass</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Formetta</surname>
<given-names>G.</given-names>
<ext-link>https://orcid.org/0000-0002-0252-1462</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kampf</surname>
<given-names>S. K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>David</surname>
<given-names>O.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rigon</surname>
<given-names>R.</given-names>
<ext-link>https://orcid.org/0000-0002-7668-5806</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>University of Trento, 77 Mesiano St., 38123 Trento, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Dept. of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Dept. of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2014</year>
</pub-date>
<volume>7</volume>
<issue>3</issue>
<fpage>725</fpage>
<lpage>736</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 G. Formetta et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://gmd.copernicus.org/articles/7/725/2014/gmd-7-725-2014.html">This article is available from https://gmd.copernicus.org/articles/7/725/2014/gmd-7-725-2014.html</self-uri>
<self-uri xlink:href="https://gmd.copernicus.org/articles/7/725/2014/gmd-7-725-2014.pdf">The full text article is available as a PDF file from https://gmd.copernicus.org/articles/7/725/2014/gmd-7-725-2014.pdf</self-uri>
<abstract>
<p>This paper presents a package of modified temperature-index-based snow
water equivalent models as part of the hydrological modeling system
NewAge-JGrass. Three temperature-based snow models are integrated into the
NewAge-JGrass modeling system and use many of its components such as those
for radiation balance (short wave radiation balance, SWRB), kriging (KRIGING), automatic calibration
algorithms (particle swarm optimization) and tests of goodness of fit
(NewAge-V), to build suitable modeling solutions (MS). Similarly to all the
NewAge-JGrass components, the models can be executed both in raster and in
vector mode. The simulation time step can be daily, hourly or sub-hourly,
depending on user needs and availability of input data. The MS are applied on
the Cache la Poudre River basin (CO, USA) using three test applications.
First, daily snow water equivalent is simulated for three different
measurement stations for two snow model formulations. Second, hourly snow
water equivalent is simulated using all the three different snow model
formulae. Finally, a raster mode application is performed to compute snow
water equivalent maps for the whole Cache la Poudre Basin.</p>
</abstract>
<counts><page-count count="12"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple">Beven, K.: Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. Water Res., 16, 41–51, 1993.</mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple">Beven, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12, &lt;a href=&quot;http://dx.doi.org/10.5194/hess-5-1-2001&quot;&gt;https://doi.org/10.5194/hess-5-1-2001&lt;/a&gt;, 2001.</mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple">Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, 2006.</mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple">Beven, K. and Binley, A.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992.</mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple">Brubaker, K., Rango, A., and Kustas, W.: Incorporating radiation inputs into the snowmelt runoff model, Hydrol. Process., 10, 1329–1343, 1996.</mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple">Brun, E., David, P., Sudul, M., and Brunot, G.: A nutnerical tnodel to silDulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, 1992.</mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple">Brutsaert, W.: Evaporation into the atmosphere: Theory, history, and applications, Vol. 1, Springer, 1982.</mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple">Brutsaert, W.: Hydrology: an introduction, Cambridge Univ. Press, 2005.</mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple">Cazorzi, F. and Dalla Fontana, G.: Snowmelt modelling by combining air temperature and a distributed radiation index, J. Hydrol., 181, 169–187, 1996.</mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple">Cressie, N.: Statistics for spatial data, Terra Nova, 4, 613–617, 1992.</mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple">Dall&apos;Amico, M., Endrizzi, S., Gruber, S., and Rigon, R.: A robust and energy-conserving model of freezing variably-saturated soil, The Cryosphere, 5, 469–484, &lt;a href=&quot;http://dx.doi.org/10.5194/tc-5-469-2011&quot;&gt;https://doi.org/10.5194/tc-5-469-2011&lt;/a&gt;, 2011.</mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple">David, O., Ascough II, J., Lloyd, W., Green, T., Rojas, K., Leavesley, G., and Ahuja, L.: A software engineering perspective on environmental modeling framework design: The Object Modeling System, Environ. Model. Softw., 39, 201–213, 2013.</mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple">Eberhart, R. and Shi, Y.: Particle swarm optimization: developments, applications and resources, in: Proceedings of the 2001 congress on evolutionary computation, Vol. 1, 81–86, Piscataway, NJ, USA, IEEE, 2001.</mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple">Endrizzi, S.: Snow cover modelling at a local and distributed scale over complex terrain, Ph.D. thesis, Ph. D. dissertation, Dept. of Civil and Environmental Engineering, University of Trento, Italy, 2007.</mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple">Endrizzi, S., Gruber, S., Dall&apos;Amico, M., and Rigon, R.: GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects, Geosci. Model Dev. Discuss., 6, 6279–6341, &lt;a href=&quot;http://dx.doi.org/10.5194/gmdd-6-6279-2013&quot;&gt;https://doi.org/10.5194/gmdd-6-6279-2013&lt;/a&gt;, 2013.</mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple">Erbs, D., Klein, S., and Duffie, J.: Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation, Sol. Energ., 28, 293–302, 1982.</mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple">Forland, E. J., Allerup, P., Dahlstrom, B., Elomaa, E., Jonsson, T., Madsen, H., Perala, J., Rissanen, P., Vedin, H., and Vejen, F.: Manual for operational correction of Nordic precipitation data, Norwegian Meteorological Institute, 1996.</mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple">Formetta, G.: Hydrological modelling with components: the OMS3 NewAge-JGrass system, PhD Thesis, 2013.</mixed-citation>
</ref>
<ref id="ref19">
<label>19</label><mixed-citation publication-type="other" xlink:type="simple">Formetta, G., Mantilla, R., Franceschi, S., Antonello, A., and Rigon, R.: The JGrass-NewAge system for forecasting and managing the hydrological budgets at the basin scale: models of flow generation and propagation/routing, Geosci. Model Dev., 4, 943–955, &lt;a href=&quot;http://dx.doi.org/10.5194/gmd-4-943-2011&quot;&gt;https://doi.org/10.5194/gmd-4-943-2011&lt;/a&gt;, 2011.</mixed-citation>
</ref>
<ref id="ref20">
<label>20</label><mixed-citation publication-type="other" xlink:type="simple">Formetta, G., Rigon, R., Chávez, J. L., and David, O.: Modeling shortwave solar radiation using the JGrass-NewAge system, Geosci. Model Dev., 6, 915–928, &lt;a href=&quot;http://dx.doi.org/10.5194/gmd-6-915-2013&quot;&gt;https://doi.org/10.5194/gmd-6-915-2013&lt;/a&gt;, 2013.</mixed-citation>
</ref>
<ref id="ref21">
<label>21</label><mixed-citation publication-type="other" xlink:type="simple">Garen, D. and Marks, D.: Spatially distributed energy balance snowmelt modelling in a mountainous river basin: estimation of meteorological inputs and evaluation of model results, J. Hydrol., 315, 126–153, 2005.</mixed-citation>
</ref>
<ref id="ref22">
<label>22</label><mixed-citation publication-type="other" xlink:type="simple">Garen, D., Johnson, G., and Hanson, C.: Mean areal precipitation for daily hydrologic modeling in mountainous region, J. Am. Water Resour. As., 30, 481–491, 1994.</mixed-citation>
</ref>
<ref id="ref23">
<label>23</label><mixed-citation publication-type="other" xlink:type="simple">Goovaerts, P.: Geostatistics for natural resources evaluation, Oxford University Press, USA, 1997.</mixed-citation>
</ref>
<ref id="ref24">
<label>24</label><mixed-citation publication-type="other" xlink:type="simple">Gupta, H., Kling, H., Yilmaz, K., and Martinez, G.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, 2009.</mixed-citation>
</ref>
<ref id="ref25">
<label>25</label><mixed-citation publication-type="other" xlink:type="simple">Hay, L., Leavesley, G., Clark, M., Markstrom, S., Viger, R., and Umemoto, M.: Step wise, multiple objective calibration of a hydrologic model for snowmelt dominated basin, J. Am. Water Resour. As., 42, 877–890, 2006.</mixed-citation>
</ref>
<ref id="ref26">
<label>26</label><mixed-citation publication-type="other" xlink:type="simple">Helbig, N., Lowe, H., Mayer, B., and Lehning, M.: Explicit validation of a surface shortwave radiation balance model over snow-covered complex terrain, J. Geophys. Res.-Atmos., 115, D18113, &lt;a href=&quot;http://dx.doi.org/10.1029/2010JD013970&quot;&gt;https://doi.org/10.1029/2010JD013970&lt;/a&gt;, 2010.</mixed-citation>
</ref>
<ref id="ref27">
<label>27</label><mixed-citation publication-type="other" xlink:type="simple">Hock, R.: A distributed temperature-index ice-and snowmelt model including potential direct solar radiation, J. Glaciol., 45, 101–111, 1999.</mixed-citation>
</ref>
<ref id="ref28">
<label>28</label><mixed-citation publication-type="other" xlink:type="simple">Kavetski, D., Kuczera, G., and Franks, S.: Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts, J. Hydrol., 320, 173–186, 2006.</mixed-citation>
</ref>
<ref id="ref29">
<label>29</label><mixed-citation publication-type="other" xlink:type="simple">Kokkonen, T., Koivusalo, H., Jakeman, T., and Norton, J.: Construction of a degree–day snow model in the light of the ten iterative steps in model development, in: Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modelling and Software. Environmental Modelling and Software Society, Burlington, USA, 2006.</mixed-citation>
</ref>
<ref id="ref30">
<label>30</label><mixed-citation publication-type="other" xlink:type="simple">Kustas, W. P., Rango, A., and Uijlenhoet, R.: A simple energy budget algorithm for the snowmelt runoff model, Water Resour. Res., 30, 1515–1527, 1994.</mixed-citation>
</ref>
<ref id="ref31">
<label>31</label><mixed-citation publication-type="other" xlink:type="simple">Lehning, M., Völksch, I., Gustafsson, D., Nguyen, T. A., Stähli, M., and Zappa, M.: ALPINE3D: a detailed model of mountain surface processes and its application to snow hydrology, Hydrol. Process., 20, 2111–2128, 2006.</mixed-citation>
</ref>
<ref id="ref32">
<label>32</label><mixed-citation publication-type="other" xlink:type="simple">Lloyd, C.: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain, J. Hydrol., 308, 128–150, 2005.</mixed-citation>
</ref>
<ref id="ref33">
<label>33</label><mixed-citation publication-type="other" xlink:type="simple">Marks, D., Domingo, J., Susong, D., Link, T., and Garen, D.: A spatially distributed energy balance snowmelt model for application in mountain basins, Hydrol. Process., 13, 1935–1959, 1999.</mixed-citation>
</ref>
<ref id="ref34">
<label>34</label><mixed-citation publication-type="other" xlink:type="simple">Martinec, J.: Snowmelt-runoff model for stream flow forecasts, Nord. Hydrol., 6, 145–154, 1975.</mixed-citation>
</ref>
<ref id="ref35">
<label>35</label><mixed-citation publication-type="other" xlink:type="simple">Martinec, J., Rango, A., and Major, E.: The Snowmelt-Runoff Model(SRM) user&apos;s manual, 1983.</mixed-citation>
</ref>
<ref id="ref36">
<label>36</label><mixed-citation publication-type="other" xlink:type="simple">Martinec, J., Rango, A., Roberts, R., Baumgartner, M. F., and Apfl, G. M.: Snowmelt runoff model (SRM) user&apos;s manual, Geographisches Institut der Universität, 1994.</mixed-citation>
</ref>
<ref id="ref37">
<label>37</label><mixed-citation publication-type="other" xlink:type="simple">Michelson, D.: Systematic correction of precipitation gauge observations using analyzed meteorological variables, J. Hydrol., 290, 161–177, 2004.</mixed-citation>
</ref>
<ref id="ref38">
<label>38</label><mixed-citation publication-type="other" xlink:type="simple">Orgill, J. and Hollands, K.: Correlation equation for hourly diffuse radiation on a horizontal surface, Sol. Energ., 19, 357–359, 1977.</mixed-citation>
</ref>
<ref id="ref39">
<label>39</label><mixed-citation publication-type="other" xlink:type="simple">Reindl, D., Beckman, W., and Duffie, J.: Diffuse fraction correlations, Sol. Energ., 45, 1–7, 1990.</mixed-citation>
</ref>
<ref id="ref40">
<label>40</label><mixed-citation publication-type="other" xlink:type="simple">Richer, E. E., Kampf, S. K., Fassnacht, S. R., and Moore, C. C.: Spatiotemporal index for analyzing controls on snow climatology: application in the Colorado Front Range, Phys. Geogr., 34, 85–107, 2013.</mixed-citation>
</ref>
<ref id="ref41">
<label>41</label><mixed-citation publication-type="other" xlink:type="simple">Rigon, R., Bertoldi, G., and Over, T.: GEOtop: A distributed hydrological model with coupled water and energy budgets, J. Hydrometeorol., 7, 371–388, 2006.</mixed-citation>
</ref>
<ref id="ref42">
<label>42</label><mixed-citation publication-type="other" xlink:type="simple">Rubel, F. and Hantel, M.: Correction of daily rain gauge measurements in the Baltic Sea drainage basin, Nord. Hydrol., 30, 191–208, 1999.</mixed-citation>
</ref>
<ref id="ref43">
<label>43</label><mixed-citation publication-type="other" xlink:type="simple">Schaefli, B. and Gupta, H. V.: Do Nash values have value?, Hydrol. Process., 21, 2075–2080, 2007.</mixed-citation>
</ref>
<ref id="ref44">
<label>44</label><mixed-citation publication-type="other" xlink:type="simple">Stehr, A., Debels, P., Romero, F., and Alcayaga, H.: Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study, Hydrolog. Sci. J., 53, 588–601, 2008.</mixed-citation>
</ref>
<ref id="ref45">
<label>45</label><mixed-citation publication-type="other" xlink:type="simple">Tarboton, D. G. and Luce, C. H.: Utah energy balance snow accumulation and melt model (UEB), Citeseer, 1996.</mixed-citation>
</ref>
<ref id="ref46">
<label>46</label><mixed-citation publication-type="other" xlink:type="simple">Tobin, C., Schaefli, B., Nicótina, L., Simoni, S., Barrenetxea, G., Smith, R., Parlange, M., and Rinaldo, A.: Improving the degree-day method for sub-daily melt simulations with physically-based diurnal variations, Adv. Water Resour., 55, 149–164, 2013.</mixed-citation>
</ref>
<ref id="ref47">
<label>47</label><mixed-citation publication-type="other" xlink:type="simple">Van Liew, M., Arnold, J., and Bosch, D.: Problems and potential of autocalibrating a hydrologic model, T. ASAE, 48, 1025–1040, 2005.</mixed-citation>
</ref>
<ref id="ref48">
<label>48</label><mixed-citation publication-type="other" xlink:type="simple">Vrugt, J., Ter Braak, C., Diks, C., Higdon, D., Robinson, B., and Hyman, J.: Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling, Int. J. Nonlin. Sci. Num., 10, 273–290, 2009.</mixed-citation>
</ref>
<ref id="ref49">
<label>49</label><mixed-citation publication-type="other" xlink:type="simple">Willmott, C. J.: On the validation of models, Phys. Geogr., 2, 184–194, 1981.</mixed-citation>
</ref>
</ref-list>
</back>
</article>