Tropical cyclones in global high-resolution simulations using the IPSL model

Climate Dynamics Springer Nature 62:5 (2024) 4343-4368

Authors:

Stella Bourdin, Sébastien Fromang, Arnaud Caubel, Josefine Ghattas, Yann Meurdesoif, Thomas Dubos

Earth Virtualization Engines (EVE)

Earth System Science Data Copernicus Publications 16:4 (2024) 2113-2122

Authors:

Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Guy Brasseur, David N Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Alexandra Jahn, Daniela Jacob

Abstract:

To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.

Assessing observational constraints on future European climate in an out-of-sample framework

npj Climate and Atmospheric Science Springer Nature 7:1 (2024) 95

Authors:

Christopher H O’Reilly, Lukas Brunner, Saïd Qasmi, Rita Nogherotto, Andrew P Ballinger, Ben Booth, Daniel J Befort, Reto Knutti, Andrew P Schurer, Aurélien Ribes, Antje Weisheimer, Erika Coppola, Carol McSweeney

Abstract:

Observations are increasingly used to constrain multi-model projections for future climate assessments. This study assesses the performance of five constraining methods, which have previously been applied to attempt to improve regional climate projections from CMIP5-era models. We employ an out-of-sample testing approach to assess the efficacy of these constraining methods when applied to “pseudo-observational” datasets to constrain future changes in the European climate. These pseudo-observations are taken from CMIP6 simulations, for which future changes were withheld and used for verification. The constrained projections are more accurate and broadly more reliable for regional temperature projections compared to the unconstrained projections, especially in the summer season, which was not clear prior to this study. However, the constraining methods do not improve regional precipitation projections. We also analysed the performance of multi-method projections by combining the constrained projections, which are found to be competitive with the best-performing individual methods and demonstrate improvements in reliability for some temperature projections. The performance of the multi-method projection highlights the potential of combining constraints for the development of constraining methods.

SPEEDY-NEMO: performance and applications of a fully-coupled intermediate-complexity climate model

Copernicus Publications (2024)

Authors:

Paolo Ruggieri, Muhammad Adnan Abid, Javier Garcia-Serrano, Carlo Grancini, Fred Kucharski, Salvatore Pascale, Danila Volpi

SPEEDY-NEMO: performance and applications of a fully-coupled intermediate-complexity climate model

Climate Dynamics (2024)

Authors:

Paolo Ruggieri, Muhammad Adnan Abid, Javier García-Serrano, Carlo Grancini, Fred Kucharski, Salvatore Pascale & Danila Volpi

Abstract:

A fully-coupled general circulation model of intermediate complexity is documented. The study presents an overview of the model climatology and variability, with particular attention to the phenomenology of processes that are relevant for the predictability of the climate system on seasonal-to-decadal time-scales. It is shown that the model can realistically simulate the general circulation of the atmosphere and the ocean, as well as the major modes of climate variability on the examined time-scales: e.g. El Niño-Southern Oscillation, North Atlantic Oscillation, Tropical Atlantic Variability, Pacific Decadal Variability, Atlantic Multi-decadal Variability. Potential applications of the model are discussed, with emphasis on the possibility of generating sets of low-cost large-ensemble retrospective forecasts. We argue that the presented model is suitable to be employed in traditional and innovative model experiments that can play a significant role in future developments of seasonal-to-decadal climate prediction.