Regional climate models (RCMs) have become established as essential dynamical downscaling tools, providing physically consistent, high-resolution climate information where global climate models (GCMs) are unable to resolve. Added value is obtained over heterogeneous vegetation, coastal, urban or orographically complex zones. Temperature, precipitation or wind benefit whenever fine-scale processes govern the climate signal, as with extreme events. CORDEX initiative (since 2009) has further consolidated RCM research with coordinated multi-model ensembles covering all continental regions, enabling systematic uncertainty quantification of regional climate projections. PROMES RCM has been an active scientific contributor across three decades to the modelling community ensemble, with operations discontinued around 2015. This retrospective narrative review synthesizes and documents PROMES’s development, performance across Europe, West Africa and South America, and assesses its scientific contributions. This includes climate change projection features, extreme events (droughts, heat waves, or Mediterranean tropical-like cyclones) or land surface–atmosphere studies. Its behaviour within the more relevant international multi-model ensembles (from PRUDENCE to EuroCORDEX), with structurally independent characteristics, represents a scientific asset for uncertainty characterization beyond the model’s individual results, offering a legacy argument for preserving RCM diversity in ensemble design strategies, as it is an essential and many times underappreciated key point of uncertainty analysis.
Regional climate modelling plays a central role in understanding and projecting climate change across Australasia, a region characterised by complex topography, diverse climate regimes, and high exposure to climate extremes. Over the past fifteen years, CORDEX-Australasia has coordinated regional climate downscaling un...
J. Evans, Marcus Thatcher, Daniel Argüeso et al.· PLOS Climate· 0 citations
We present an evaluation and future projections of ten Global Climate Models (GCMs) dynamically downscaled using Rossby Centre Regional Atmospheric model version 4 (RCA4) under the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework. Evaluations were done with Climate Research Unit (CRU) time-series...
Qudsia Zafar, Shahbaz Mehmood, M. Adnan et al.· Discover Atmosphere· 0 citations
Since its creation, the Intergovernmental Panel on Climate Change (IPCC) produces comprehensive Assessment Reports (AR) of scientific, technical and socio-economic knowledge on climate changes, its impacts, risks and the respective mitigation solutions, based on Representative Concentration Pathways (RCPs) climate pr...
Carlos Antunes· Portuguese Yearbook of the L...· 0 citations
With advances in global and regional circulation models, the high‐resolution simulation of atmospheric variables has become increasingly feasible. In this study, we use IsoRSM, an isotope‐enabled regional spectral model, to improve the simulation of precipitation and its isotopic composition over tropical Costa Rica, w...
Yan Yang, C. Birkel, C. Soulsby et al.· Journal of Geophysical Resea...· 0 citations
The selection of global climate models (GCMs) that represent the main features of the present climate is crucial for reducing uncertainties when assessing climate trends or driving regional climate models. Based on this premise, the main goal of this study is to assess the skill of 17 GCMs from the Coupled Model Interc...
M. L. da Silva, M. Reboita, Naurinete de Jesus da Costa Barreto et al.· Theoretical and Applied Clim...· 0 citations
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