@misc{WalterKeulerBlocketal., author = {Walter, Andreas and Keuler, Klaus and Block, Alexander and Knoche, Richard and Block, Alexander and Kotlarski, Sven and M{\"u}ller-Westermeier, Gerhard and Rechid, Diana and Ahrens, Wilfried}, title = {A high resolution reference data set of german wind velocity 1951-2001 and comparison with regional climate model results}, series = {Meteorologische Zeitschrift}, volume = {15}, journal = {Meteorologische Zeitschrift}, number = {6}, issn = {1610-1227}, doi = {10.1127/0941-2948/2006/0162}, pages = {585 -- 596}, language = {en} } @misc{KotlarskiBlockBoehmetal., author = {Kotlarski, Sven and Block, Alexander and B{\"o}hm, Ursula and Jacob, Daniela and Keuler, Klaus and Knoche, Richard and Rechid, Diana and Walter, Artur}, title = {Regional Climate Model Simulations as Input for Hydrological Applications: Evaluation of Uncertainties}, series = {Advances in Geoscience}, journal = {Advances in Geoscience}, number = {5}, doi = {10.5194/adgeo-5-119-2005}, pages = {119 -- 125}, language = {en} } @techreport{KeulerBlockAhrensetal., author = {Keuler, Klaus and Block, Alexander and Ahrens, Wilfried and Jacob, Daniela and Rechid, Diana and Kotova, Lola and Kotlarski, Sven and Heimann, Dietrich and Zemsch, Maria and Knoche, Richard and Dittmann, Ernst and Walter, Andreas and Berger, Franz and Sommer, Michael}, title = {QUIRCS: Quantification of uncertainties in regional climate and climate change simulations. German Climate Research Programme (2001-2006), Final Symposium 2005}, publisher = {DLR}, address = {Bonn}, pages = {9}, abstract = {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.}, language = {en} } @techreport{KeulerBlockAhrensetal., author = {Keuler, Klaus and Block, Alexander and Ahrens, Wilfried and Jacob, Daniela and Rechid, Diana and Kotova, Lola and Kotlarski, Sven and Heimann, Dietrich and Zemsch, Maria and Knoche, Richard and Dittmann, Ernst and Walter, Andreas and Berger, Franz and Sommer, Michael}, title = {Quantifizierung von Ungenauigkeiten regionaler Klima- und Klima{\"a}nderungssimulationen (QUIRCS). Zusammenfassung der wesentlichen Ergebnisse eines Projektes des deutschen Klimaforschungsprogramms DEKLIM}, pages = {153}, abstract = {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" gef{\"o}rdert worden sind [DEKLIM, 2005]. Unter der Koordination des Lehrstuhls Umweltmeteorologie der Brandenburgischen Technischen Universit{\"a}t (BTU) Cottbus waren 6 Institutionen mit insgesamt 13 Mitarbeitern {\"u}ber 4 Jahre an der Durchf{\"u}hrung des Projektes beteiligt. Der vorliegende Bericht gibt einen {\"U}berblick {\"u}ber die verschiedenen Aufgabenstellungen und fasst die wesentlichen Ergebnisse des Projektes zusammen.}, language = {de} } @misc{DavinRechidBreiletal., author = {Davin, Edouard and Rechid, Diana and Breil, Marcus and Cardoso, Rita M. and Coppola, Erika and Hoffmann, Peter and Jach, Lisa L. and Katragkou, Eleni and Noblet-Ducoudr{\´e}, Nathalie de and Radtke, Kai and Raffa, Mario and Soares, Pedro and Sofiadis, Giannis and Strada, Susanna and Strandberg, Gustav and T{\"o}lle, Merja H. and Warrach-Sagi, Kirsten and Wulfmeyer, Volker}, title = {Biogeophysical impacts of deforestation in Europe First results from the LUCAS Regional Climate Mode intercomparison}, series = {Earth System Dynamics}, volume = {11}, journal = {Earth System Dynamics}, number = {1}, issn = {2190-4995}, doi = {10.5194/esd-11-183-2020}, pages = {183 -- 200}, abstract = {The Land Use and Climate Across Scales Flagship Pilot Study (LUCAS FPS) is a coordinated community effort to improve the integration of land use change (LUC) in regional climate models (RCMs) and to quantify the biogeophysical effects of LUC on local to regional climate in Europe. In the first phase of LUCAS, nine RCMs are used to explore the biogeophysical impacts of re-/afforestation over Europe: two idealized experiments representing respectively a non-forested and a maximally forested Europe are compared in order to quantify spatial and temporal variations in the regional climate sensitivity to forestation. We find some robust features in the simulated response to forestation. In particular, all models indicate a year-round decrease in surface albedo, which is most pronounced in winter and spring at high latitudes. This results in a winter warming effect, with values ranging from +0.2 to +1 K on average over Scandinavia depending on models. However, there are also a number of strongly diverging responses. For instance, there is no agreement on the sign of temperature changes in summer with some RCMs predicting a widespread cooling from forestation (well below -2 K in most regions), a widespread warming (around +2 K or above in most regions) or a mixed response. A large part of the inter-model spread is attributed to the representation of land processes. In particular, differences in the partitioning of sensible and latent heat are identified as a key source of uncertainty in summer. Atmospheric processes, such as changes in incoming radiation due to cloud cover feedbacks, also influence the simulated response in most seasons. In conclusion, the multi-model approach we use here has the potential to deliver more robust and reliable information to stakeholders involved in land use planning, as compared to results based on single models. However, given the contradictory responses identified, our results also show that there are still fundamental uncertainties that need to be tackled to better anticipate the possible intended or unintended consequences of LUC on regional climates.}, language = {en} }