TY - GEN A1 - Hall, Braeden A1 - Schmidt, Kathleen A1 - Wagge, Jordan A1 - Lewis, Savannah C. A1 - Weissgerber, Sophia C. A1 - Kiunke, Felix A1 - Pfuhl, Gerit A1 - Stieger, Stefan A1 - Tran, Ulrich S. A1 - Barzykowski, Krystian A1 - Bogatyreva, Natalia A1 - Kowal, Marta A1 - Massar, KarlIJn A1 - Pernerstofer, Felizitas A1 - Sorokowski, Piotr A1 - Voracek, Martin A1 - Chartier, Christopher R. A1 - Brandt, Mark J. A1 - Grahe, Jon E. A1 - Özdoğru, Asil A. A1 - Andreychik, Michael R. A1 - Chen, Sau-Chin A1 - Evans, Thomas R. A1 - Hautekiet, Caro A1 - IJzerman, Hans A1 - Kačmár, Pavol A1 - Krafnick, Anthony J. A1 - Musser, Erica D. A1 - Vergauwe, Evie A1 - Werner, Kaitlyn M. A1 - Aczel, Balazs A1 - Arriaga, Patrícia A1 - Batres, Carlota A1 - Beaudry, Jennifer L. A1 - Cova, Florian A1 - Ďurbisová, Simona A1 - Cramblet Alvarez, Leslie D. A1 - Feldman, Gilad A1 - Godbersen, Hendrik A1 - Gottfried, Jaroslav A1 - Haeffel, Gerald J. A1 - Hartanto, Andree A1 - Isloi, Chris A1 - McFall, Joseph P. A1 - Milyavskaya, Marina A1 - Moreau, David A1 - Nosáľová, Ester A1 - Papaioannou, Kostas A1 - Ruiz-Fernandez, Susana A1 - Schrötter, Jana A1 - Storage, Daniel A1 - Vezirian, Kevin A1 - Volz, Leonhard A1 - Weisberg, Yanna J. A1 - Xiao, Qinyu A1 - Awlia, Dana A1 - Branit, Hannah W. A1 - Dunn, Megan R. A1 - Groyecka-Bernard, Agata A1 - Haneda, Ricky A1 - Kielinska, Julita A1 - Kolle, Caroline A1 - Lubomski, Paweł A1 - Miller, Alexys M. A1 - Mækelæ, Martin J. A1 - Pantazi, Mytro A1 - Ribeiro, Rafael R. A1 - Ross, Robert M. A1 - Sorokowska, Agnieszka A1 - Aberson, Christopher L. A1 - Vassiliou, Xanthippi Alexi A1 - Baker, Bradley J. A1 - Bognar, Miklos A1 - Cong, Chin Wen A1 - Danvers, Alex F. A1 - Davis, William E. A1 - Dranseika, Vilius A1 - Dumbravă, Andrei A1 - Farmer, Harry A1 - Field, Andy P. A1 - Forscher, Patrick S. A1 - Graton, Aurélien A1 - Hajdu, Nandor A1 - Howlett, Peter A. A1 - Kabut, Radosław A1 - Larsen, Emmett M. A1 - Lee, Sean T. H. A1 - Legate, Nicole A1 - Levitan, Carmel A. A1 - Levy, Neil A1 - Lu, Jackson G. A1 - Misiak, Michał A1 - Morariu, Roxana E. A1 - Novak, Jennifer A1 - Pronizius, Ekaterina A1 - Prusova, Irina A1 - Rathnayake, Athulya S. A1 - Romanova, Marina O. A1 - Röer, Jan P. A1 - Sampaio, Waldir M. A1 - Schild, Christoph A1 - Schulte-Mecklenbeck, Michael A1 - Stephen, Ian D. A1 - Szecsi, Peter A1 - Takacs, Elizabeth A1 - Teeter, Julia N. A1 - Thiele-Evans, Elian H. A1 - Valeiro-Paterlini, Julia A1 - Vilares, Iris A1 - Villafana, Louise A1 - Wang, Ke A1 - Wu, Raymond A1 - Álvarez-Solas, Sara A1 - Moshontz, Hannah A1 - Buchanan, Erin M. T1 - Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication of Turri et al. (2015) T2 - Advances in Methods and Practices in Psychological Science Y1 - 2024 U6 - https://doi.org/10.1177/25152459241267902 SN - 2515-2459 VL - 7 IS - 4 SP - 1 EP - 38 PB - SAGE Publications 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 -