Descrizione del progetto
Miglioramento della modellizzazione del sistema Terra e della previsione climatica considerando i vortici oceanici di mesoscala
Il clima è modellato da numerosi processi, non solo dai gas serra emessi nell’atmosfera come risultato dell’attività umana. I modelli del sistema Terra simulano i processi fisici, chimici e biologici e il loro funzionamento congiunto, integrando le interazioni tra atmosfera, oceani, terreno, ghiaccio e biosfera per stimare il clima in varie condizioni. Finora, questi modelli hanno omesso i vortici oceanici di mesoscala, ovvero vortici dipendenti dal tempo con scale di distanza inferiori a 100 chilometri e scale temporali di circa un mese. L’ambizioso progetto EERIE, finanziato dall’UE, svilupperà modelli del sistema Terra migliorati, sfruttando i computer europei pre-esascala e prendendo in considerazione i vortici oceanici di mesoscala europei in preparazione del prossimo rapporto del Gruppo intergovernativo di esperti sul cambiamento climatico.
Obiettivo
Eddy Rich Earth System Models (EERIE) will develop a new generation of Earth System Models (ESMs) that are capable of explicitly representing a crucially important, yet unexplored regime of the Earth system, the ocean mesoscale. Leveraging the latest advances in science and technology, EERIE will substantially improve the ability of such ESMs to faithfully represent the centennial-scale evolution of the global climate, especially its variability, extremes and how tipping points may unfold under the influence of the ocean mesoscale. Model improvements include new dynamical cores, new components (particularly sea ice), scale-aware parametrization and the complementary use of Machine Learning (ML)
The technological challenge associated with this ambition is very high. EERIE’s goal is to achieve a simulation speed of up to 5 simulated years per day (5 SYPDs) and to make efficient use (reduction in power consumption by 50%) of the pre-exascale supercomputers now available in Europe. The technological solutions that are to be leveraged in EERIE are the use of reduced precision, GPUs, ML and reduced I/O. Alongside model improvements, EERIE will develop innovative experimental simulation protocols that are suitable for the mesoscale, to be pioneered on behalf of the global climate modelling community, in preparation for the next IPCC.
EERIE will produce useful and usable climate information that will contribute to national and international climate change assessments such as IPCC; it will incorporate model variability and extremes within an Integrated Assessment Model (IAM) via a MLemulato;, and it will deliver storyline approaches to the consequences of climate tipping points and disease outbreaks.
Campo scientifico
- natural sciencesmathematicsapplied mathematicsdynamical systems
- natural sciencesmathematicsapplied mathematicsstatistics and probability
- natural sciencesearth and related environmental sciencesoceanography
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
27570 Bremerhaven
Germania