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-hydrology reanalysis for the Mediterranean region. The system couples state-of-the-art numerical models with data assimilation in both the ocean and the atmosphere, producing a dynamically coherent reconstruction of the 1993–2024 period. MESMAR-R shows strong performance in the ocean, particularly for sea level, sea-surface salinity, and upper-layer temperature, confirming its skill in the most relevant layers for air–sea interactions. The atmospheric component performs reasonably well given its simplified assimilation based on three-dimensional scale-selective nudging, yielding basin-scale fields comparable to state-of-the-art reanalyses and maintaining internally consistent coupled air–sea interactions. Sensitivity experiments show that data assimilation in both the ocean and atmosphere is essential for optimal performance: coupling alone does not necessarily improve reanalysis skill, but its benefits are relevant for salinity and surface fluxes and amplify when complemented by data assimilation. The ocean and atmospheric trends reconstructed by MESMAR-R are physically coherent and consistent with observations, reproducing basin-wide salinification, thermo-halo compensation in steric sea level, mass-driven sea-level rise, and pronounced near-surface atmospheric warming and drying. MESMAR-R therefore provides a unique, balanced reconstruction of past Mediterranean climate, suitable for investigating coupled air–sea processes, compound events, marine extremes, and other phenomena where dynamically consistent atmosphere-ocean interactions are essential.
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
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
Increasing the complexity of regional weather and climate models by developing coupled environmental prediction systems improves their performance, particularly in coastal areas where equilibrium assumptions between Earth system components break down. By allowing consistency between earth system components, they also u...
S. Berthou, J. M. Castillo, Vivian Fraser-Leonhardt et al.· Geoscientific Model Developm...· 0 citations
Abstract. This study presents a new set of high-resolution global climate simulations conducted with the EC-Earth3 model, including a 350 year pre-industrial, followed by historical (1850–2014) and future (2015–2100, SSP2-4.5) simulations. The model features a horizontal resolution of ∼ 40 km in the atmosphere and 0.25...
M. Karami, T. Koenigk, Shi-Yu Wang et al.· Earth System Dynamics· 1 citation
Abstract. Accurate initialization of ocean states is essential for skillful prediction of Earth system variability across seasonal-to-decadal timescales. In this study, we evaluate the impact of a newly developed four-dimensional ensemble variational (4DEnVar)-based weakly coupled ocean data assimilation (WCODA) system...
Peng-Fei Shi, L. R. Leung, Zhao-Xia Pu et al.· Geoscientific Model Developm...· 0 citations
High-resolution atmospheric thermodynamic information is essential for resolving localized weather processes in complex urbanized regions such as the Yangtze River Delta (YRD). However, existing global reanalysis products are limited by coarse spatial resolution, constraining their ability to represent fine-scale the...
Yan-An Liu, Zheng-Yan Zhang, Tian-Yue Zeng et al.· Advances in Atmospheric Scie...· 0 citations
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