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Results from a Full Coupling of the Hirham Regional Climate Model and the Mike She Hydrological Model for a Danish Catchment : Volume 11, Issue 3 (14/03/2014)

By Larsen, M. A. D.

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Book Id: WPLBN0004012045
Format Type: PDF Article :
File Size: Pages 43
Reproduction Date: 2015

Title: Results from a Full Coupling of the Hirham Regional Climate Model and the Mike She Hydrological Model for a Danish Catchment : Volume 11, Issue 3 (14/03/2014)  
Author: Larsen, M. A. D.
Volume: Vol. 11, Issue 3
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Butts, M. B., Refsgaard, J. C., Drews, M., Christensen, J. H., Christensen, O. B., Jensen, K. H., & D. Larse, M. A. (2014). Results from a Full Coupling of the Hirham Regional Climate Model and the Mike She Hydrological Model for a Danish Catchment : Volume 11, Issue 3 (14/03/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark. In recent years research on the coupling of existing regional climate models and hydrology/land surface models has emerged. A major challenge in this emerging research field is the computational interaction between the models. In this study we present results from a full two-way coupling of the HIRHAM regional climate model over a 4000 km x 2800 km domain in 11 km resolution and the combined MIKE SHE-SWET hydrology and land surface models over the 2500 km2 Skjern river catchment. A total of 26 one-year runs were performed to assess the influence of the data transfer interval (DTI) between the two models and the internal HIRHAM model variability of ten variables. In general, the coupled model simulations exhibit less accurate performance than the uncoupled simulations which is to be expected as both models prior to this study have been individually refined or calibrated to reproduce observations. Four of six output variables from HIRHAM, precipitation, relative humidity, wind speed and air temperature, showed statistically significant improvements in RMSE with a reduced DTI as evaluated in the range of 12–120 min. For these four variables the perturbation induced HIRHAM variability was shown to correspond to 47% of the RMSE improvement when using a DTI of 120 min compared to a DTI of 12 min and the variability resulted in large ranges in simulated precipitation. Also, the DTI was shown to substantially affect computation time. The MIKE SHE energy flux and discharge output variables experienced little impact from the DTI.

Summary
Results from a full coupling of the HIRHAM regional climate model and the MIKE SHE hydrological model for a Danish catchment

Excerpt
Alexandru, A., Elia, R. D., and Laprisé, R.: Internal variability in regional climate downscaling at the seasonal scale, Mon. Weather Rev., 135, 3221–3238, doi:10.1175/MWR3456.1, 2007.; Allerup, P., Madsen, H., and Vejen, F.: Standardværdier (1961–90) af Nedbørkorrektioner, Danish Meteorological Institute, Copenhagen, Denmark, Technical Report, 98–10, 1998.; 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 pp., 2008.; Butts, M., Drews, M., Larsen, M. A. D., Lerer, S., Rasmussen, S. H., Gross, J., Overgaard, J., Refsgaard, J. C., Christensen, O. B., and Christensen, J. H.: Embedding complex hydrology in the regional climate system – dynamic coupling across different modelling domains, Adv. Water Resour., submitted, 2013.; Casati, B., Ross, G., and Stephenson, D. B.: A new intensity-scale approach for the verification of spatial precipitation forecasts, Meteorol. Appl., 11, 141–154, doi:10.1017/S1350482704001239, 2004.; Caya, D. and Laprise, R.: A semi-implicit semi-Lagrangian regional climate model: the Canadian RCM, Mon. Weather Rev., 127, 341–362, 1999.; Christensen, J. H., Christensen, O. B., Lopez, P., Meijgaard, E., and van Botzet, M.: The HIRHAM4 Regional Atmospheric Climate Model, Danish Meteorological Institute, Copenhagen, Denmark, Technical Report, 96–4, 1996.; Giorgi, F. and Bi, X.: A study of internal variability of a regional climate model, J. Geophys. Res., 105, 29503–29521, 2000.; Christensen, O. B., Drews, M., Christensen, J. H., Dethloff, K., Ketelsen, K., Hebestadt, I., and Rinke, A.: The HIRHAM regional climate model version 5, Danish Meteorological Institute, Copenhagen, Denmark, Technical Report 06-17, 2006.; Collins, M., Chandler, R. E., Cox, P. M., Huthnance, J. M., Rougier, J., and Stephenson, D. B.: Quantifying future climate change, Nature Climate Change, 2, 403–409, doi:10.1038/NCLIMATE1414, 2012.; Cui, X., Graf, H.-F., Langmann, B., Chen, W., and Huang, R.: Climate impacts of anthropogenic land use changes on the Tibetan Plateau, Global Planet. Change, 54, 33–56, doi:10.1016/j.gloplacha.2005.07.006, 2006.; Dai, Y., Zeng, X., Dickinson, R. E., Baker, I., Bonan, G. B., Bosilovich, M. G., Denning, A. S., Dirmeyer, P. A., Houser, P. R., Niu, G., Oleson, K. W., Schlosser, C. A., and Yang, Z.-L.: The common land model, B. Am. Meteorol. Soc., 84, 1013–1023, doi:10.1175/BAMS-84-8-1013, 2003; Deser, C., Phillips, A. Bourdette, V., and Teng, H.: Uncertainty in climate change projections: the role of internal variability, Clim. Dynam., 38, 527–546, doi:10.1007/s00382-010-0977-x, 2012.; Diaconescu, E. P., Laprise, R., and Sushama, L.: The impact of lateral boundary data errors on the simulated climate of a nested regional climate model, Clim. Dynam., 28, 333–350, doi:10.1007/s00382-006-0189-6, 2007; Durieux, L., Machado, L. A. T., and Laurent, H.: The impact of deforestation on cloud cover over the Amazon arc of deforestation, Remote Sens. Environ., 86, 132–140, doi:10.1016/S0034-4257(03)00095-6, 2003.; Giorgi, F.: Climate Change Prediction, Climatic Change, 73, 239–265, doi:10.1007/s10584-005-6857-4, 2005.; Ek, M., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., and Tarpley, J. D.: Implementation of Noah land surface model advances in the National Ce

 

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