HESS Hydrology and Earth System Sciences HESS Hydrol. Earth Syst. Sci. 1607-7938 Copernicus Publications Göttingen, Germany 10.5194/hess-11-1469-2007 A distributed stream temperature model using high resolution temperature observations Westhoff M. C. 1 Savenije H. H. G. 1 Luxemburg W. M. J . 1 Stelling G. S. 2 van de Giesen N. C. 1 Selker J. S. 3 Pfister L. 4 Uhlenbrook S. 5 Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands Fluid Mechanics Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands Department of Biological and Ecological Engineering, Oregon State University,116 Gilmore Hall, Corvallis, OR 97331, USA Department Environment and Agro-biotechnologies, Centre de Recherche Public – Gabriel Lippmann, 41, rue du Brill, 4422 Belvaux, Luxembourg Department of Water Engineering, UNESCO-IHE, Westvest 7, 2611 AX Delft, The Netherlands 30 07 2007 11 4 1469 1480 Copyright: © 2007 M. C. Westhoff et al. 2007 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-sa/2.5/ This article is available from https://hess.copernicus.org/articles/11/1469/2007/hess-11-1469-2007.html The full text article is available as a PDF file from https://hess.copernicus.org/articles/11/1469/2007/hess-11-1469-2007.pdf

Distributed temperature data are used as input and as calibration data for an energy based temperature model of a first order stream in Luxembourg. A DTS (Distributed Temperature Sensing) system with a fiber optic cable of 1500 m was used to measure stream water temperature with 1 m resolution each 2 min. Four groundwater inflows were identified and quantified (both temperature and relative discharge). The temperature model calculates the total energy balance including solar radiation (with shading effects), longwave radiation, latent heat, sensible heat and river bed conduction. The simulated temperature is compared with the observed temperature at all points along the stream. Knowledge of the lateral inflow appears to be crucial to simulate the temperature distribution and conversely, that stream temperature can be used successfully to identify sources of lateral inflow. The DTS fiber optic is an excellent tool to provide this knowledge.

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