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Effects of Climate Model Radiation, Humidity and Wind Estimates on Hydrological Simulations : Volume 8, Issue 4 (22/08/2011)

By Haddeland, I.

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Book Id: WPLBN0004013014
Format Type: PDF Article :
File Size: Pages 27
Reproduction Date: 2015

Title: Effects of Climate Model Radiation, Humidity and Wind Estimates on Hydrological Simulations : Volume 8, Issue 4 (22/08/2011)  
Author: Haddeland, I.
Volume: Vol. 8, Issue 4
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Eisner, S., Voß, F., Hagemann, S., Heinke, J., Chen, C., Haddeland, I., & Ludwig, F. (2011). Effects of Climate Model Radiation, Humidity and Wind Estimates on Hydrological Simulations : Volume 8, Issue 4 (22/08/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Norwegian Water Resources and Energy Directorate, Oslo, Norway. Due to biases in the output of climate models, a bias correction is often needed to make the output suitable for use in hydrological simulations. In most cases only the temperature and precipitation values are bias corrected. However, often there are also biases in other variables such as radiation, humidity and wind speed. In this study we tested to what extent it is also needed to bias correct these variables. Responses to radiation, humidity and wind estimates from two climate models for four large-scale hydrological models are analysed. For the period 1971–2000 these hydrological simulations are compared to simulations using meteorological data based on observations and reanalysis; i.e. the baseline simulation. In both forcing datasets originating from climate models precipitation and temperature are bias corrected to the baseline forcing dataset. Hence, it is only effects of radiation, humidity and wind estimates that are tested here. The direct use of climate model outputs result in substantial different evapotranspiration and runoff estimates, when compared to the baseline simulations. A simple bias correction method is implemented and tested by rerunning the hydrological models using bias corrected radiation, humidity and wind values. The results indicate that bias correction can successfully be used to match the baseline simulations. Finally, historical (1971–2000) and future (2071–2100) model simulations resulting from using bias corrected forcings are compared to the results using non-bias corrected forcings. The relative changes in simulated evapotranspiration and runoff are relatively similar for the bias corrected and non bias corrected hydrological projections, although the absolute evapotranspiration and runoff numbers are often very different. The simulated relative and absolute differences when using bias corrected and non bias corrected climate model radiation, humidity and wind values are, however, smaller than literature reported differences resulting from using bias corrected and non bias corrected climate model precipitation and temperature values.

Summary
Effects of climate model radiation, humidity and wind estimates on hydrological simulations

Excerpt
Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrol. Sci. J., 48, 317–333, 2003.; Bates, B. C., Kundzewicz, Z. W., Wu, S., and Palutikof, J. P. (Eds.): Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva, 210 p., 2008.; Bondeau, A., Smith, P., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., and Smith, B.: Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Global Change Biol., 13, 679–706, 2007.; Haddeland, I., Clark, D. B., Franssen, W., Ludwig, F., Vo{ß}, F., Arnell, N. W., Bertrand, N., Best, M., Folwell, S., Gerten, D., Gomes, S., Gosling, S. N., Hagemann, S., Hanasaki, N., Harding, R., Heinke, J., Kabat, P., Koirala, S., Oki, T., Polcher, J., Stacke, T., Viterbo, P., Weedon, G. P., and Yeh, P.: Multi-model estimate of the global terrestrial water balance: setup and first results, J. Hydrometeor., doi:10.1175/2011JHM1324.1, in press, 2011.; Hagemann, S. and Dümenil, L.: A parameterization of the lateral waterflow for the global scale, Clim. Dynam., 14, 17–31, 1998.; Hagemann, S. and Dümenil Gates, L.: Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations, Clim. Dynam., 21, 349–359, 2003.; Hagemann, S., Chen, C., Haerter, J. O., Heinke, J., Gerten, D., and Piani, C.: Impact of a statistical bias correction on the projected hydrological changes obtained from three GCMs and two hydrology models, J. Hydrometeor., 12, 556–578, doi:10.1175/2011JHM1336.1, 2011.; Harding, R. J., Best, M., Blyth, E., Hagemann, S., Kabat, P., Tallaksen, L. M., Warnaars, T., Wiberg, D., Weedon, G. P., van Lanen, H., Ludwig, F., and Haddeland, I.: Preface to the Water and Global Change (WATCH) special collection: current knowledge of the terrestrial Global Water Cycle, J. Hydrometeor, doi:10.1175/JHM-D-11-024.1, in press, 2011.; Hay, L. E., Wilby, R. L., and Leavesley, G. H.: A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States, J. Am. Water Resour. Assoc., 36, 387–398, 2000.; Liang, X., Lettennmaier, D. P., Wood, E. F., and Burges, S. J.: A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99(D7), 14415–14428, 1994.; Materia, S., Dirmeyer, P. A., Guo, Z., Alessandri, A., and Navarra, A.: The sensitivity of simulated river discharge to land surface representation and meteorological forcings, J. Hydrometeor., 11, 334–351, doi:10.1175/2009JHM1162.1

 

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