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Processing and Analysing an Ensemble of Climate Projections for the Joint Research Project Kliwas : Volume 10, Issue 1 (12/06/2013)

By Imbery, F.

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Book Id: WPLBN0003982682
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Processing and Analysing an Ensemble of Climate Projections for the Joint Research Project Kliwas : Volume 10, Issue 1 (12/06/2013)  
Author: Imbery, F.
Volume: Vol. 10, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Namyslo, J., Plagemann, S., & Imbery, F. (2013). Processing and Analysing an Ensemble of Climate Projections for the Joint Research Project Kliwas : Volume 10, Issue 1 (12/06/2013). Retrieved from http://members.worldlibrary.net/


Description
Description: German Weather Service, Offenbach, Germany. The research programme KLIWAS, funded by the German Federal Ministry of Transport, Building and Urban affairs is focussed on climate change and its impacts on waterways and navigation for Germany in the 21th century. In order to derive sound statements about the range of possible future climate changes, KLIWAS use hydro-meteorological information derived from a wide variety of global and regional climate models.

In the framework of KLIWAS emphasis is taken on the quantification of uncertainties in climate model output. Therefore, a 19-member ensemble of climate model runs was used. On the basis of the SRES-scenario A1B the probabilities of changes in air temperature, precipitation amount, global radiation and several climate indices were computed for near (2021 to 2050) and distant (2071–2100) scenario horizons.

Furthermore, statistical downscaling techniques, including approved bias correction methods, were used to provide a spatial high-resolution sub-ensemble of eight climate model simulations for climate change impact investigations.


Summary
Processing and analysing an ensemble of climate projections for the joint research project KLIWAS

Excerpt
Teutschbein, C. and Seibert, J.: Is bias correction of Regional Climate Model (RCM) simulations possible for non-stationary conditions?, Hydrol. Earth Syst. Sci. Discuss., 9, 12765–12795, doi:10.5194/hessd-9-12765-2012, 2012.; Theme{ß}l, M. J., Gobiet, A., and Heinrich, G.: Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal, Climatic Change, 112, 449–468, 2012.; Annoni, A., Luzet, C., Gubler, E., and Ihde, J.: Map projections for Europe, available at: http://www.ec-gis.org/sdi/publist/pdfs/annoni-etal2003eur.pdf, 2003.; Christensen, J., Kjellstrom, E., Giorgi, F., Lenderink, G., and Rummukainen, M.: Weight assignment in regional climate models, Clim. Res., 44, 179–194, 2010.; Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Da Costa Bechtold, V., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R. P., Andersson, E., Arpe, K., Balmaseda, M. A., Beljaars, A. C. M., Van De Berg, L., Bidlot, J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Hólm, E., Hoskins, B. J., Isaksen, L., Janssen, P. A. E. M., Jenne, R., Mcnally, A. P., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N. A., Saunders, R. W., Simon, P., Sterl, A., Trenberth, K. E., Untch, A., Vasiljevic, D., Viterbo, P., and Woollen, J.: The ERA-40 re-analysis, Q. J. Roy. Meteor. Soc., 131, 2961–2012, 2005.; Van der Linden, P. and Mitchell, J. F. B.: ENSEMBLES: Climate Change and its Impacts: Summary of research and results from the ENSEMBLES project, Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK, 2009.; Deque, M. and Somot, S.: Weighted frequency distributions express modelling uncertainties in the ENSEMBLES regional climate experiments, Clim. Res., 44, 195–209, 2010.; Fowler, H. J., Blenkinsopa, S., and Tebaldi, C.: Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling, Int. J. Climatol., 27, 1547–1578, 2007.; Giorgi, F., Jones, C., and Asrar, G. R.: Addressing climate information needs at the regional level: the CORDEX framework, WMO Bulletin, 58, 175–183, 2009.; Whiteman, C. D: Fundamentals and Applications, Mountain Meteorology, 1, 312–319, 2000.; Hashino, T., Bradley, A. A., and Schwartz, S. S.: Evaluation of bias-correction methods for ensemble streamflow volume forecasts, Hydrol. Earth Syst. Sci., 11, 939–950, doi:10.5194/hess-11-939-2007, 2007.; IPCC: Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, New York, USA, 2007.; Jacob, D.: REMO Climate of the 20th Century Run, UBA Project, 0.088 Degree Resolution, Run No. 006210, 1H Data, World Data Center for Climate, CERA-DB REMO_ UBA_C20_1_R006210_1H, http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=REMO_UBA_C20_1_R006210_1H, 2005a.; Jacob, D.: REMO A1B Scenario Run, UBA Project, 0.088 Degree Resolution, Run No. 006211, 1H Data, World Data Center for Climate, CERA-DB REMO_UBA_A1B_1_R006211_1H, http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=REMO_UBA_A1B_1_R006211_1H, 2005b.; Jacob, D., Nilson, E., Tomassini, L., and Bülow, K.: REMO Climate of the 20th Century Run, BFG Project, 0.088 Degree Resolution, Run No. 2, 1H Data. World Data Center for Climate, CERA-DB REMO_BFG_A1B_1H,

 

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