Optimal High Resolution Earth System Models for Exploring Future Climate Changes

Project Information

OptimESM

Grant agreement ID: 101081193

DOI 10.3030/101081193

EC signature date 22 September 2022

Start date 1 January 2023

End date 31 December 2027

Funded under

• Climate, Energy and Mobility

Total cost € 7 691 803,96

EU contribution € 7 691 803,96

Coordinated by

SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT
Sweden

Publications

Peer reviewed articles (5)

Multi-centennial evolution of the climate response and deep-ocean heat uptake in a set of abrupt stabilization scenarios with EC-Earth3

Author(s): Federico Fabiano, Paolo Davini, Virna L. Meccia, Giuseppe Zappa, Alessio Bellucci, Valerio Lembo, Katinka Bellomo, and Susanna Corti
Published in: Earth System Dynamics, Issue 15, 2024, ISSN 2190-4987
Publisher: Göttingen Copernicus Publ.
DOI: 10.5194/esd-15-527-2024

Deep Learning for Bias‐Correcting CMIP6‐Class Earth System Models

Author(s): Philipp Hess; Stefan Lange; Christof Schötz; Niklas Boers
Published in: Earth's Future, Issue 11, 10, 2023, ISSN 2328-4277
Publisher: John Wiley & Sons
DOI: 10.48550/arxiv.2301.01253

Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis

Author(s): Tian Tian, Shuting Yang, Jacob Lorentsen Høyer, Pia Nielsen-Englyst & Suman Singh
Published in: Communications earth & environment, Issue 5, 111, 2024, ISSN 2662-4435
Publisher: Springer Nature
DOI: 10.1038/s43247-024-01276-z.

Local cooling and drying induced by Himalayan glaciers under global warming

Author(s): Franco Salerno, Nicolas Guyennon, Kun Yang, Thomas E. Shaw, Changgui Lin, Nicola Colombo, Emanuele Romano, Stephan Gruber, Tobias Bolch, Andrea Alessandri, Paolo Cristofanelli, Davide Putero, Guglielmina Diolaiuti, Gianni Tartari, Gianpietro Verza, Sudeep
Published in: Nature Geoscience, Issue 16, 2023, ISSN 1752-0908
Publisher: Nature Portfolio
DOI: 10.1038/s41561-023-01331-y

Simulating AMOC tipping driven by internal climate variability with a rare event algorithm

Author(s): Cini M, Zappa G, Ragone F, and Corti S
Published in: npj Clim Atmos Sci, Issue 7, 31, 2024, ISSN 2397-3722
Publisher: Springer Nature
DOI: 10.1038/s41612-024-00568-7