Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1803-2022
https://doi.org/10.5194/gmd-15-1803-2022
Model evaluation paper
 | 
03 Mar 2022
Model evaluation paper |  | 03 Mar 2022

Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM)

Justus Contzen, Thorsten Dickhaus, and Gerrit Lohmann

Related authors

Northern Greenland transect stacked ice cores as a proxy for winter extreme events in Europe
Alessandro Gagliardi, Norel Rimbu, Gerrit Lohmann, and Monica Ionita
EGUsphere, https://doi.org/10.5194/egusphere-2025-3071,https://doi.org/10.5194/egusphere-2025-3071, 2025
This preprint is open for discussion and under review for Climate of the Past (CP).
Short summary
Precession-driven low-latitude hydrological cycle paced by shifting perihelion
Hu Yang, Xiaoxu Shi, Xulong Wang, Qingsong Liu, Yi Zhong, Xiaodong Liu, Youbin Sun, Yanjun Cai, Fei Liu, Gerrit Lohmann, Martin Werner, Zhimin Jian, Tainã M. L. Pinho, Hai Cheng, Lijuan Lu, Jiping Liu, Chao-Yuan Yang, Qinghua Yang, Yongyun Hu, Xing Cheng, Jingyu Zhang, and Dake Chen
Clim. Past, 21, 1263–1279, https://doi.org/10.5194/cp-21-1263-2025,https://doi.org/10.5194/cp-21-1263-2025, 2025
Short summary
Newly dated permafrost deposits and their paleoecological inventory reveal an Eemian much warmer than today in Arctic Siberia
Lutz Schirrmeister, Margret C. Fuchs, Thomas Opel, Andrei Andreev, Frank Kienast, Andrea Schneider, Larisa Nazarova, Larisa Frolova, Svetlana Kuzmina, Tatiana Kuznetsova, Vladimir Tumskoy, Heidrun Matthes, Gerrit Lohmann, Guido Grosse, Viktor Kunitsky, Hanno Meyer, Heike H. Zimmermann, Ulrike Herzschuh, Thomas Böhmer, Stuart Umbo, Sevi Modestou, Sebastian F. M. Breitenbach, Anfisa Pismeniuk, Georg Schwamborn, Stephanie Kusch, and Sebastian Wetterich
Clim. Past, 21, 1143–1184, https://doi.org/10.5194/cp-21-1143-2025,https://doi.org/10.5194/cp-21-1143-2025, 2025
Short summary
Diagnosing the Atlantic Meridional Overturning Circulation in density space is critical in warmer climates
Fernanda DI Alzira Oliveira Matos, Dmitry Sidorenko, Xiaoxu Shi, Lars Ackermann, Janini Pereira, Gerrit Lohmann, and Christian Stepanek
EGUsphere, https://doi.org/10.5194/egusphere-2025-2326,https://doi.org/10.5194/egusphere-2025-2326, 2025
Short summary
Ice-proximal sea ice reconstruction in the Powell Basin, Antarctica, since the Last Interglacial
Wee Wei Khoo, Juliane Müller, Oliver Esper, Wenshen Xiao, Christian Stepanek, Paul Gierz, Gerrit Lohmann, Walter Geibert, Jens Hefter, and Gesine Mollenhauer
Clim. Past, 21, 299–326, https://doi.org/10.5194/cp-21-299-2025,https://doi.org/10.5194/cp-21-299-2025, 2025
Short summary

Cited articles

Acero, F. J., García, J. A., and Gallego, M. C.: Peaks-over-Threshold Study of Trends in Extreme Rainfall over the Iberian Peninsula, J. Climate, 24, 1089–1105, https://doi.org/10.1175/2010JCLI3627.1, 2011. a
Ackermann, L., Danek, C., Gierz, P., and Lohmann, G.: AMOC Recovery in a Multicentennial Scenario Using a Coupled Atmosphere-Ocean-Ice Sheet Model, Geophys. Res. Lett., 47, e2019GL086810, https://doi.org/10.1029/2019GL086810, 2020. a, b, c
Bador, M., Boé, J., Terray, L., Alexander, L. V., Baker, A., Bellucci, A., Haarsma, R., Koenigk, T., Moine, M.-P., Lohmann, K., Putrasahan, D. A., Roberts, C., Roberts, M., Scoccimarro, E., Schiemann, R., Seddon, J., Senan, R., Valcke, S., and Vanniere, B.: Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models, J. Geophys. Res.-Atmos., 125, e2019JD032184, https://doi.org/10.1029/2019JD032184, 2020a. a, b
Bargaoui, Z. and Bárdossy, A.: Modeling short duration extreme precipitation patterns using copula and generalized maximum pseudo-likelihood estimation with censoring, Adv. Water Resour., 84, 1–13, https://doi.org/10.1016/j.advwatres.2015.07.006, 2015. a
Bernard, E., Naveau, P., Vrac, M., and Mestre, O.: Clustering of Maxima: Spatial Dependencies among Heavy Rainfall in France, J. Climate, 26, 7929–7937, https://doi.org/10.1175/JCLI-D-12-00836.1, 2013. a, b
Download
Short summary
Climate models are of paramount importance to predict future climate changes. Since many severe consequences of climate change are due to extreme events, the accurate behaviour of models in terms of extremes needs to be validated thoroughly. We present a method for model validation in terms of climate extremes and an algorithm to detect regions in which extremes tend to occur at the same time. These methods are applied to data from different climate models and to observational data.
Share