TY - GEN A1 - Böhm, Uwe A1 - Keuler, Klaus A1 - Österle, Hermann A1 - Kücken, Martin A1 - Hauffe, Detlef T1 - Quality of a climate reconstruction for the CADSES regions T2 - Meteorologische Zeitschrift N2 - We used the regional climate model CCLM 4 to reconstruct the climate over the CADSES regions for the period 1961-2000. This most recent model version is currently still in a test phase. The simulation quality for this part of the entire simulation area is exemplarily analyzed by using a small but representative subset of model variables. Mean sea level pressure is chosen as an indicator for the behavior of the near-surface dynamics. Furthermore, the two regional variables 2 m temperature and precipitation are evaluated, which are of relevance for hydrological applications. For additional analyses to identify sources of uncertainty, we used soil moisture and cloudiness. Altogether, the accuracy of the simulation results can be judged as being in good agreement with the results of similar simulations by other regional climate models over Europe. Area-averaged monthly mean 2 m temperatures during winter show a cold bias of about -2 K. The simulated mean sea level pressure is with a bias of about 2 hPa slightly too high compared to the used reference data set. Although cloud cover evaluation hints at insufficiencies in the corresponding parameterization, further analyses are required to unambiguously identify the causes for this cold bias. During summer, higher 2 m temperatures linked to reduced precipitation are identified in nearly identical regions over southern and southeastern Europe. Further analyses of soil moisture evolution and cloud cover give evidence for a source of uncertainty in the surface hydrological scheme. Altogether, the detected differences do not exceed the typical ranges of uncertainty in comparable regional climate simulations over Europe. For input in hydrological applications, however, the uncertainties produced by the CCLM simulation described here have to be reduced in the medium term. N2 - Das Klima über den CADSES-Regionen wurde mit dem regionalen Klimamodell CCLM, Version 4.0 für den Zeitraum 1961-2000 rekonstruiert. Diese aktuellste Modellversion befindet sich gegenwärtig noch in einer Testphase. Die Qualität der Simulation für diesen Teil des Simulationsgebietes wird beispielhaft anhand einer kleinen, aber repräsentativen Teilmenge von Modellvariablen analysiert. Der Druck auf Meeresniveau wurde ausgewählt als Indikator für das Verhalten der bodennahen Dynamik. Weiterhin wurden die beiden Variablen 2 m Temperatur und Niederschlag als wichtige regionale Variablen für hydrologische Anwendungen bewertet. Für zusätzliche Analysen zur Identifizierung von Ungenauigkeitsquellen verwendeten wir die Bodenfeuchte und die Bewölkung. Insgesamt kann die Genauigkeit dieser Simulationsresultate als gut im Vergleich zu Ergebnissen von Simulationsläufen anderer regionaler Klimamodelle für Europa beurteilt werden. Gebietsmittel der monatlichen 2 m Temperaturen im Winter zeigen einen systematischen Fehler von etwa -2 K. Der simulierte Druck auf Meeresniveau ist mit einem systematischen Fehler von etwa 2 hPa etwas zu hoch im Vergleich zum verwendeten Referenzdatensatz. Obwohl die Evaluierung der Wolkendecke auf Unzulänglichkeiten in der entsprechenden Parametrisierung hinweist, sind weitere Analysen nötig, um die Ursachen für das systematisch zu kalte Modellverhalten eindeutig zu identifizieren. Im Sommer treten über nahezu identischen Regionen in Süd- und Südosteuropa höhere 2 m Temperaturen sowie geringere Niederschlägen auf. Weitere Analysen der zeitlichen Entwicklung der Bodenfeuchte und der Wolkenbedeckung geben Anhaltspunkte für eine Quelle von Ungenauigkeit im hydrologischen Teil des Bodenmodells. Insgesamt überschreiten die nachgewiesenen Unterschiede nicht die typischen Fehlerbereiche in vergleichbaren Klimasimulationen über Europa. Als Antrieb für hydrologische Anwendungen ist es allerdings mittelfristig erforderlich, die Ungenauigkeiten der hier beschriebenen CCLM-Simulation zu verringern. Y1 - 2008 U6 - https://doi.org/10.1127/0941-2948/2008/0318 SN - 1610-1227 VL - 17 IS - 4 SP - 477 EP - 485 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 - Hollweg, Heinz-Dieter A1 - Böhm, Uwe A1 - Fast, Irina A1 - Hennemuth, Barbara A1 - Keuler, Klaus A1 - Keup-Thiel, Elke A1 - Lautenschlager, Michael A1 - Legutke, Stephanie A1 - Radtke, Kai A1 - Rockel, Burkhardt A1 - Schubert, Martina A1 - Will, Andreas A1 - Woldt, Michael A1 - Wunram, Claudia T1 - Ensemble Simulations over Europe with the Regional Climate Model CLM forced with IPCC AR4 Global Scenarios N2 - Regional climate projections have been performed for Europe with the climate version CLM (version 3.1) of the 'Lokal-Modell' (LM) of the German Meteorological Service. CLM has been forced with output of the ECHAM5/MPIOM global climate model of the Max Planck Institute for Meteorology, which contributed to the fourth climate assessment report (AR4) of the International Panel on Climate Change (IPCC). The results of the global model for the IPCC A1B and B1 scenarios as well as the reconstruction of the last four decades of the 20th century (20C3M) for the AR4 are dynamically scaled down to the CLM grid cell size of about 18×18 km2. Climatological parameters including all model variables and additional quantities characterising the climate are available from the World Data Centre for Climate database run by the German climate service group Model and Data. They can be accessed by the general public at no costs with the help of M and D. In particular, the 'Service Group Adaptation' (SGA) has been established at M and D to assist adaptation projects funded by the German Federal Ministry of Education and Research (BMBF) giving advice on the interpretation of the CLM model results. Y1 - 2008 UR - https://cera-www.dkrz.de/WDCC/ui/cerasearch/entry?acronym=MaD_TeReport_No03 U6 - https://doi.org/10.2312/WDCC/MaD_TeReport_No03 PB - Max-Planck-Institut für Meteorologie CY - Hamburg 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 - 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 - TY - GEN A1 - Quinkenstein, Ansgar A1 - Böhm, Christian A1 - Freese, Dirk A1 - Wöllecke, Jens A1 - Grünewald, Holger A1 - Schneider, Bernd Uwe A1 - Hüttl, Reinhard F. T1 - Alley-Cropping - Ein klima-adaptierbares Landnutzungssystem zur nachhaltigen Biomasseproduktion T2 - Forum der Forschung Y1 - 2008 SN - 0947-6989 VL - 12 IS - 21 SP - 131 EP - 138 ER - TY - GEN A1 - Liebsch, Claudia A1 - Rödiger, Stefan A1 - Böhm, Alexander A1 - Nitschke, Jörg A1 - Weinreich, Jörg A1 - Fruth, Angelika A1 - Roggenbuck, Dirk A1 - Lehmann, Werner A1 - Schedler, Uwe A1 - Juretzek, Thomas A1 - Schierack, Peter T1 - Solid-phase microbead array for multiplex O-serotyping of Escherichia coli T2 - Microchimica Acta Y1 - 2017 U6 - https://doi.org/10.1007/s00604-017-2088-4 SN - 0026-3672 SN - 1436-5073 VL - 184 IS - 5 SP - 1405 EP - 1415 ER - TY - GEN A1 - Quinkenstein, Ansgar A1 - Wöllecke, Jens A1 - Böhm, Christian A1 - Grünewald, Holger A1 - Freese, Dirk A1 - Schneider, Bernd Uwe A1 - Hüttl, Reinhard F. T1 - Ecological benefits of the alley cropping agroforestry system in sensitive regions of Europe T2 - Environmental Science & Policy Y1 - 2009 U6 - https://doi.org/10.1016/j.envsci.2009.08.008 SN - 1462-9011 VL - 12 IS - 8 SP - 1112 EP - 1121 ER - TY - GEN A1 - Freese, Dirk A1 - Böhm, Christian A1 - Quinkenstein, Ansgar A1 - Schneider, Bernd Uwe A1 - Hüttl, Reinhard F. T1 - Agroforst - flächenschonende Alternative für die Bioenergieproduktion: Feld und Wald auf einem Schlag T2 - Neue Landwirtschaft Y1 - 2010 IS - 9 SP - 76 EP - 78 ER - TY - CHAP A1 - Dilly, Oliver A1 - Nii-Annang, Seth A1 - Böhm, Christian A1 - Grünewald, Holger A1 - Freese, Dirk A1 - Schneider, Bernd Uwe A1 - Hüttl, Reinhard F. T1 - Agroforestry as an environmental technology for multiple purposes and for atmospheric carbon dioxide and nitrogen fixation in the sensitive region Lusatia T2 - Impact Assessment of Land Use Changes, International Conference, 6-9 April 2008 in Berlin Y1 - 2008 UR - http://tran.zalf.de/home_ip-sensor/conference/IALUC2008Abstracts.pdf SP - S. 220 ER -