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M. J. Roberts

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#explainable ai Open access Sep 2026

Unravelling the role of increased model resolution in simulating surface temperature fields using explainable AI

Minimizing climate model biases is essential to reduce uncertainties in future climate projections. Despite recent advances, improvements between generations of Earth System Models (ESMs) remain modest, largely due to continued reliance on subgrid-scale parametrizations. These are required because CMIP6 model resolut...

Simon L. L. Michel, Kristian Strommen, J. Kröger et al. · 0 citations
Open access Aug 2026

Multi-decadal high-resolution historical simulations with the ECMWF global atmosphere model

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. · 1 citation

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