Articles | Volume 19, issue 9
https://doi.org/10.5194/hess-19-3727-2015
https://doi.org/10.5194/hess-19-3727-2015
Research article
 | 
01 Sep 2015
Research article |  | 01 Sep 2015

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

A. Gallice, B. Schaefli, M. Lehning, M. B. Parlange, and H. Huwald

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Cited articles

Arscott, D. B., Tockner, K., and Ward, J.: Thermal heterogeneity along a braided floodplain river (Tagliamento River, northeastern Italy), Can. J. Fish. Aquat. Sci., 58, 2359–2373, 2001.
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Benyahya, L., Caissie, D., St-Hilaire, A., Ouarda, T. B., and Bobée, B.: A Review of Statistical Water Temperature Models, Can. Water Resour. J., 32, 179–192, https://doi.org/10.4296/cwrj3203179, 2007.
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Biswal, B. and Marani, M.: Geomorphological origin of recession curves, Geophys. Res. Lett., 37, L24403, https://doi.org/10.1029/2010GL045415, 2010.
Short summary
This study presents a new model to estimate the monthly mean stream temperature of ungauged rivers over multiple years in an Alpine country. Contrary to the other approaches developed to date, which are usually based on standard regression techniques, our model makes use of the understanding that we have about the physics controlling stream temperature. On top of its accuracy being comparable to that of the other models, it can be used to gain some knowledge about the stream temperature dynamics