Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2609-2020
https://doi.org/10.5194/hess-24-2609-2020
Research article
 | 
20 May 2020
Research article |  | 20 May 2020

Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?

Denis Ruelland

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Cited articles

Ahmed, S. and de Marsily, G.: Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity, Water Resour. Res., 23, 1717–1737, https://doi.org/10.1029/WR023i009p01717, 1987. 
Andréassian, V. and Perrin, C.: On the ambiguous interpretation of the Turc–Budyko nondimensional graph, Water Resour. Res., 48, W10601, https://doi.org/10.1029/2012WR012532, 2012. 
Bárdossy, A. and Pegram, G.: Interpolation of precipitation under topographic influence at different time scales, Water Resour. Res., 49, 4545–4565, https://doi.org/10.1002/wrcr.20307, 2013. 
Barry, R. G. and Chorley, R. J.: Atmosphere, Weather and Climate, 9th Edn., London, Routledge, 516 pp., 2010. 
Beck, H., van Dijk, A. I. J. M., de Roo, A., Miralles, D. G. McVicar, T. R., Schellekens, J., and Bruijnzeel, L. A.: Global-scale regionalization of hydrologic model parameters, Water Resour. Res., 52, 3599–3622, https://doi.org/10.1002/2015WR018247, 2016. 
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Short summary
Interpolation methods accounting for elevation dependency from scattered gauges result in inaccurate inputs for snow-hydrological models. Altitudinal gradients of temperature and precipitation can be successfully inferred using an inverse snow-hydrological modelling approach. This approach can significantly improve the simulation of snow cover and streamflow dynamics through more parsimonious parametrization.