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The Importance of Glacier and Forest Change in Hydrological Climat...

By: R. Weingartner; D. Viviroli; B. Schädler; N. Köplin

Description: Institute of Geography, University of Bern, Bern, Switzerland. Changes in land cover alter the water balance components of a catchment, due to strong interactions between soils, vegetation and the atmosphere. Therefore, hydrological climate impact studies should also integrate scenarios of associated land cover change. To reflect two severe climate-induced changes in land cover, we applied scenarios of glacier retreat and forest cover increase that...

Arendt, A. A., Echelmeyer, K. A., Harrison, W. D., Lingle, C. S., and Valentine, V. B.: Rapid Wastage of Alaska Glaciers and their contribution to rising sea level, Science, 297, 382–386, doi:10.1126/science.1072497, 2002.; Arnell, N. W.: Uncertainty in the relationship between climate forcing and hydrological response in UK catchments, Hydrol. Earth Syst. Sci., 15, 897–912,

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Flood Forecasting Using Medium-range Probabilistic Weather Predict...

By: G. Franchello; J. Thielen; B. T. Gouweleeuw; A. P. J. De Roo; R. Buizza

Description: NASA/GSFC, Mail Code 614.3, Greenbelt, MD 20770, USA. Following the developments in short- and medium-range weather forecasting over the last decade, operational flood forecasting also appears to show a shift from a so-called single solution or 'best guess' deterministic approach towards a probabilistic approach based on ensemble techniques. While this probabilistic approach is now more or less common practice and well established in the meteorological ...

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Statistical Atmospheric Downscaling for Rainfall Estimation in Kyu...

By: K. Jinno; O. Morita; K. Nishiyama; J. Olsson; A. Kawamura; N. Koreeda; C. Bertacchi Uvo; T. Nakashima

Description: Department of Water Resources Engineering, Lund University, Box 118, 221 00 Lund, Sweden.. The present paper develops linear regression models based on singular value decomposition (SVD) with the aim of downscaling atmospheric variables statistically to estimate average rainfall in the Chikugo River Basin, Kyushu Island, southern Japan, on a 12-hour basis. Models were designed to take only significantly correlated areas into account in the downscaling ...

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Optimising Training Data for Anns with Genetic Algorithms : Volume...

By: R. G. Kamp; H. H. G. Savenije

Description: Section of Water Resources, Delft University of Technology, Delft, The Netherlands. Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) ...

Anctil, F. and Lauzon, N.: Generalisation for neural networks through data sampling and training procedures with applications to streamflow predictions, Hydrol. Earth Syst. Sci., 8, 940–958, 2004.; Babovic, V. and Keijzer, M.: Genetic programming as a model induction engine, J. Hydroinformatics, 2(1), 35–60, 2000.; Babovic, V. and Abbott, M. B.: The evolution of equations from hydraulic data: Part I – Theory, J. Hydraulic Res., 35, 3, 1–14, 1997.; Bowden, G. J., Holger, ...

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Temporal Dynamics of Hydrological Threshold Events : Volume 11, Is...

By: M. Sivapalan; C. Hinz; G. S. McGrath

Description: School of Earth and Geographical Sciences, University of Western Australia, Crawley, Australia. The episodic nature of hydrological flows such as surface runoff and preferential flow is a result of the nonlinearity of their triggering and the intermittency of rainfall. In this paper we examine the temporal dynamics of threshold processes that are triggered by either an infiltration excess (IE) mechanism when rainfall intensity exceeds a specified thresho...

Arora, V.: The use of the aridity index to assess climate change effect on annual runoff., J. Hydrol., 265, 164–177, 2002.; Bauters, T.: Soil water content dependent wetting front characteristics in sands., J. Hydrol., 231-232, 244–254, 2000.; Beven, K. and Germann, P.: Macropores and water flow in soils., Water Resour. Res., 18, 1311–1325, 1982.; Budyko, M.: Climate and Life., Academic Press, New York, 1974.; Crockford, R. and Richardson, D.: Partitioning of rainfall in...

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