TY - GEN A1 - Walter, Andreas A1 - Keuler, Klaus A1 - Block, Alexander A1 - Knoche, Richard A1 - Block, Alexander A1 - Kotlarski, Sven A1 - Müller-Westermeier, Gerhard A1 - Rechid, Diana A1 - Ahrens, Wilfried T1 - A high resolution reference data set of german wind velocity 1951-2001 and comparison with regional climate model results T2 - Meteorologische Zeitschrift Y1 - 2006 U6 - https://doi.org/10.1127/0941-2948/2006/0162 SN - 1610-1227 VL - 15 IS - 6 SP - 585 EP - 596 ER - TY - THES A1 - Block, Alexander T1 - Unsicherheiten in Oberflächen- und Bodenparametern und ihre Auswirkungen auf die Ergebnisse regionaler Klimasimulationen KW - Klima KW - Model KW - Boden KW - Energiebilanz Y1 - 2007 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus-3636 ER - TY - GEN A1 - Kotlarski, Sven A1 - Block, Alexander A1 - Böhm, Ursula A1 - Jacob, Daniela A1 - Keuler, Klaus A1 - Knoche, Richard A1 - Rechid, Diana A1 - Walter, Artur T1 - Regional Climate Model Simulations as Input for Hydrological Applications: Evaluation of Uncertainties T2 - Advances in Geoscience Y1 - 2005 U6 - https://doi.org/10.5194/adgeo-5-119-2005 IS - 5 SP - 119 EP - 125 ER - TY - RPRT A1 - Will, Andreas A1 - Keuler, Klaus A1 - Block, Alexander T1 - The Climate Local Model - Evaluation Results and Recent Developments N2 - A successful and overall evaluation of the CLM was a prerequisite for conduction of the consortial runs, which will be the data basis of the BMBF research program “Research for the climate protection and protection from climate impact”. We present selected results showing the quality of the model and discuss open questions in regional climate modelling, which may be further addressed using the results of the consortial runs. Y1 - 2006 UR - https://www.dkrz.de/pdfs/downloads/terraflops-2002-2008/Terraflops_No08_2006_11_Mres.pdf?lang=de IS - 8 SP - 2 EP - 3 PB - TerraFLOPS ER - TY - RPRT A1 - Böhm, Uwe A1 - Kücken, Martin A1 - Ahrens, Wilfried A1 - Block, Alexander A1 - Hauffe, Detlef A1 - Keuler, Klaus A1 - Rockel, Burkhardt A1 - Will, Andreas T1 - CLM - The Climate Version of LM: Brief Description and Long-Term Applications Y1 - 2006 UR - http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter06/cnl6_clm.pdf PB - COSMO Newsletter CY - Offenbach, Germany ER - TY - RPRT A1 - Keuler, Klaus A1 - Block, Alexander A1 - Ahrens, Wilfried A1 - Jacob, Daniela A1 - Rechid, Diana A1 - Kotova, Lola A1 - Kotlarski, Sven A1 - Heimann, Dietrich A1 - Zemsch, Maria A1 - Knoche, Richard A1 - Dittmann, Ernst A1 - Walter, Andreas A1 - Berger, Franz A1 - Sommer, Michael T1 - QUIRCS: Quantification of uncertainties in regional climate and climate change simulations. German Climate Research Programme (2001-2006), Final Symposium 2005 N2 - The comparison of multi model runs of the reference period 1979-1993 with different observational data sets for several climate parameters enables the quantification of the model uncertainties in representing present-day climate conditions for Central Europe. The quantification is based on a number of objective distance measures which detect differences in the spatial and temporal structures of the data sets being compared. Additional climate change simulations of two 30-year periods (control and scenario simulation) are performed for the SRES B2 global change scenario. They indicate a severe warming for Germany with values of up to 4 K in summer which is much higher than the quantified uncertainty range of the regional models for this climate parameter. For precipitation in Germany, a weak reduction during the summer months is overcompensated by an increase in winter and fall. However, the simulated changes are smaller than the quantified uncertainty range for the regional models so that in particular a significant reduction of the annual precipitation in Germany cannot be stated on basis of the current simulations for the B2 scenario. Aim of the research in the context of DEKLIM A reliable assessment of possible future climate developments requires an improved understanding of climate and its variability as well as a detailed knowledge of the uncertainties of climate simulations which provide the requested information about the potential degree of future changes. The project QUIRCS focuses on the climate patterns of Central Europe and investigates the quality of currently used regional climate models and regionalization techniques by a model inter-comparison, a substantial model evaluation, additional sensitivity studies and an extensive analysis of climate data. The major scientific aims are • to quantify the uncertainties of regional climate simulations and of observed climate data, • to provide a regional climate change scenario for Europe with a particular focus on Germany, • to assess the reliability of the produced climate change signals with respect to the Collapse. KW - regional climate simulation KW - model evaluation KW - uncertainty KW - climate change KW - climate data Y1 - 2005 UR - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.596.557&rep=rep1&type=pdf PB - DLR CY - Bonn ER - TY - RPRT A1 - Keuler, Klaus A1 - Block, Alexander A1 - Ahrens, Wilfried A1 - Jacob, Daniela A1 - Rechid, Diana A1 - Kotova, Lola A1 - Kotlarski, Sven A1 - Heimann, Dietrich A1 - Zemsch, Maria A1 - Knoche, Richard A1 - Dittmann, Ernst A1 - Walter, Andreas A1 - Berger, Franz A1 - Sommer, Michael T1 - Quantifizierung von Ungenauigkeiten regionaler Klima- und Klimaänderungssimulationen (QUIRCS). Zusammenfassung der wesentlichen Ergebnisse eines Projektes des deutschen Klimaforschungsprogramms DEKLIM N2 - Das Projekt QUIRCS (“Quantification of Uncertainties in Regional Climate and Climate-Change Simulations“) ist eines von insgesamt37Verbundforschungsprojekten, die im Rahmen des Deutschen Klimaforschungsprogramms DEKLIM vom BMBF als Beitrag zum Teilbereich „Klima-forschung und Vorhersagbarkeit“ gefördert worden sind [DEKLIM, 2005]. Unter der Koordination des Lehrstuhls Umweltmeteorologie der Brandenburgischen Technischen Universität (BTU) Cottbus waren 6 Institutionen mit insgesamt 13 Mitarbeitern über 4 Jahre an der Durchführung des Projektes beteiligt. Der vorliegende Bericht gibt einen Überblick über die verschiedenen Aufgabenstellungen und fasst die wesentlichen Ergebnisse des Projektes zusammen. Y1 - 2006 UR - https://www-docs.b-tu.de/fg-meteorologie/public/publikationen/quircs_abschlussbericht.pdf ER - TY - CHAP A1 - Keuler, Klaus A1 - Block, Alexander ED - Bärring, Lars ED - Laprise, Rene T1 - High resolution climate change simulation for Central Europe T2 - Extended abstracts of a WMO/WCRP-sponsored Regional-Scale Climate Modelling Workshop, high-resolution climate modelling, assessment, added value and applications, Lund, Sweden, 29 March-2 April 2004 Y1 - 2005 SP - 106 EP - 107 PB - Lund University CY - Lund, Sweden ER - TY - CHAP A1 - Keuler, Klaus A1 - Block, Alexander A1 - Schaller, Eberhard ED - Bärring, Lars ED - Laprise, Rene T1 - Assessment of quality and uncertainty in regional climate simulations T2 - Extended abstracts of a WMO/WCRP-sponsored Regional-Scale Climate Modelling Workshop, high-resolution climate modelling, assessment, added value and applications, Lund, Sweden, 29 March-2 April 2004 Y1 - 2005 SP - 68 EP - 69 PB - Lund University CY - Lund, Sweden ER - TY - GEN A1 - Böhm, Uwe A1 - Kücken, Martin A1 - Hauffe, Detlef A1 - Gerstengarbe, F.-W. A1 - Werner, P. C. A1 - Flechsig, Michael A1 - Keuler, Klaus A1 - Block, Alexander A1 - Ahrens, Wilfried A1 - Nocke, Th. T1 - Reliability of regional climate model simulations of extremes and of long-term climate T2 - Natural Hazards and Earth System Sciences N2 - We present two case studies that demonstrate how a common evaluation methodology can be used to assess the reliability of regional climate model simulations from different fields of research. In Case I, we focused on the agricultural yield loss risk for maize in Northeastern Brazil during a drought linked to an El-Niño event. In Case II, the present-day regional climatic conditions in Europe for a 10-year period are simulated. To comprehensively evaluate the model results for both kinds of investigations, we developed a general methodology. On its basis, we elaborated and implemented modules to assess the quality of model results using both advanced visualization techniques and statistical algorithms. Besides univariate approaches for individual near-surface parameters, we used multivariate statistics to investigate multiple near-surface parameters of interest together. For the latter case, we defined generalized quality measures to quantify the model's accuracy. Furthermore, we elaborated a diagnosis tool applicable for atmospheric variables to assess the model's accuracy in representing the physical processes above the surface under various aspects. By means of this evaluation approach, it could be demonstrated in Case Study I that the accuracy of the applied regional climate model resides at the same level as that we found for another regional model and a global model. Excessive precipitation during the rainy season in coastal regions could be identified as a major contribution leading to this result. In Case Study II, we also identified the accuracy of the investigated mean characteristics for near-surface temperature and precipitation to be comparable to another regional model. In this case, an artificial modulation of the used initial and boundary data during preprocessing could be identified as the major source of error in the simulation. Altogether, the achieved results for the presented investigations indicate the potential of our methodology to be applied as a common test bed to different fields of research in regional climate modeling. Y1 - 2004 U6 - https://doi.org/10.5194/nhess-4-417-2004 VL - 4 IS - 3 SP - 417 EP - 431 ER - TY - GEN A1 - Block, Alexander A1 - Keuler, Klaus A1 - Schaller, Eberhard T1 - Impacts of anthropogenic heat on regional climate patterns T2 - Geophysical Research Letters N2 - [1] Four different simulations of a winter period in Central Europe are carried out to investigate the principle effect of anthropogenic heat release from the highly industrialized and populated Ruhrarea region (Germany) on regional climate conditions. The results reveal a permanent warming due to anthropogenic heat emissions over affected areas ranging from 0.15 K over land area with an additional 2 W m−2 anthropogenic heat flux up to 0.5 K over the Ruhrarea with additional 20 W m−2 anthropogenic heat flux. The temperature effects induced by anthropogenic heat not only depend on the amount of added heat but also on orographical factors. No significant variations are found for precipitation. Y1 - 2004 U6 - https://doi.org/10.1029/2004GL019852 VL - 31 IS - 12 ER - TY - GEN A1 - Böhm, Uwe A1 - Kücken, Martin A1 - Ahrens, Wilfried A1 - Block, Alexander A1 - Hauffe, Detlef A1 - Keuler, Klaus A1 - Rockel, Burkhardt A1 - Will, Andreas T1 - The Climate Version of LM: Brief Description and Long-Term Applications T2 - COSMO Newsletter Y1 - 2006 UR - http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter06/newsLetter_06.pdf IS - 6 SP - 225 EP - 235 ER -