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

Climate Dynamics Springer 62:5 (2024) 3763-3781

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.

Superdeterminism without Conspiracy †

Universe MDPI 10:1 (2024) 47

Energy‐meteorology education workshop at the International Conference on Energy and Meteorology

Weather Wiley 79:1 (2024) 34-35

Authors:

Matthew Wright, Juan A Añel, Hannah Mallinson

Multi-decadal skill variability in predicting the spatial patterns of ENSO events

(2024)

Authors:

Matthew Wright, Antje Weisheimer, Tim Woollings

Postprocessing East African rainfall forecasts using a generative machine learning model

(2024)

Authors:

Bobby Antonio, Andrew McRae, David MacLeod, Fenwick Cooper, John Marsham, Laurence Aitchison, Tim Palmer, Peter Watson