The weather and climate of the Mediterranean region are highly influenced by mid-latitude cyclones, i.e., Mediterranean cyclones. The accurate simulation of these systems is crucial for preparing for future climate change. This study evaluates the ability of 12 global climate models (GCMs) within the Coupled Model Intercomparison Project Phase 6 (CMIP6) to reproduce historical (1979–2014) spatial distribution, intensity, and seasonal cycle of Mediterranean cyclones against ERA5 reanalysis data. The results provide historical performance context for the interpretation of future projections. Cyclones are detected using an objective algorithm based on mean sea level pressure, which has a temporal resolution of 6-h, and a spatial resolution of 1°. The results demonstrate that although there is a systematic underestimation of cyclone numbers compared to the reference, GCMs reproduce regions with high cyclone frequencies relatively well. The accuracy of spatial patterns of frequencies shows seasonal differences: simulation results perform better during winter (when deeper cyclones occur), while summer performance is weaker. These seasonal and spatial differences also appear when analyzing selected focus regions, where GCMs struggle to consistently capture local seasonal cycles. This might be caused by a shift in the spatial placement of cyclones in the GCMs that highlights the need for higher resolution models when focusing on subregions.
Abstract. A 21-member ensemble of regional climate simulations has been produced for Southeast Asia (SEA) by dynamically downscaling Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) under the World Climate Research Programme's Coordinated Regional Climate Downscaling Experiment (CORDEX...
P. Nguyen, Lisa V. Alexander, T. Ngo-Duc et al.· Geoscientific Model Developm...· 1 citation
This paper reports on two sets of 22-year convection-permitting regional climate simulations conducted with the Weather Research and Forecasting model over the entirety of South America at 4-km grid spacing. The first simulation downscales the fifth-generation European Centre for Medium-Range Weather Forecasts atmosphe...
Chang-Hai Liu, Kyoko Ikeda, F. Dominguez et al.· Climate Dynamics· 1 citation
This paper describes an ensemble of global atmosphere reference simulations covering the period 1980 to 2023 produced with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS). The resulting dataset consists of 6-hourly three-dimensional global outputs from higher- and lowe...
M. Aengenheyster, Christopher D. Roberts, Razvan Aguridan et al.· Scientific Data· 1 citation
Simulating precipitation remains a significant challenge for climate models. This study assesses the performance of nine CORDEX-SEA CMIP5-based downscaling experiments, representing the highest resolution available for Southeast Asia, against ERA5 reanalysis data. Performance is evaluated across spatial and temporal di...
This study evaluates changes in tropical cyclone (TC) characteristics under different future emissions scenarios in a large set of climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Okubo–Weiss–Zeta parameter (OWZP) TC detection method is used to identify large-scale conditions conducive...
Krishneel K. Sharma, K. Tory, S. Chand et al.· Climate Dynamics· 0 citations
Regional reanalyses provide physically consistent reconstructions of past climate, offering a powerful tool for understanding the processes that shape regional responses to climate change. Here, we introduce MESMAR-R (Mediterranean Earth System Model at ISMAR – Reanalysis), a newly developed coupled atmosphere-ocean-hy...
A. Storto, V. de Toma, Chun-Xue Yang· Ocean Science (OS)· 0 citations
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