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PRIMAVERA

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Cerrado

PRocess based climate sIMulation AdVances in high resolution modelling and Euro...

PRocess based climate sIMulation AdVances in high resolution modelling and European climate Risk Assessment The goal of PRIMAVERA is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability w... ver más

31/07/2020

MET OFFICE

15M€

Presupuesto del proyecto: 15M€

Líder del proyecto

MET OFFICE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 20 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-07-31

SC5-01-2014: Advanced Earth-system models

I+D

Cerrada hace 10 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

20 Participantes

MET OFFICE

1.60M€ | Lider

BIT AND BRAIN TECHNOLOGIES

151.12K€ | Participante

NATIONAL OCEANOGRAPHY CENTRE

131.67K€ | Participante

MPG

1.28M€ | Participante

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Duración del proyecto: 62 meses Fecha Inicio: 2015-05-11
Fecha Fin: 2020-07-31

Líder del proyecto

MET OFFICE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 15M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The goal of PRIMAVERA is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability will deliver innovative climate science and a new generation of advanced Earth System Models. Sector-specific end-users in policy and business will be identified and engaged individually, with iterative feedback, to ensure that new climate information is tailored, actionable and strengthening societal risk management decisions. These goals will be achieved through the development of coupled GCMs from seven groups across Europe, with sufficient resolution to reproduce realistic weather and climate features (~25km mesh size), in addition to enhanced process parameterisation. Thorough assessment will use innovative process-based metrics and the latest observational and reanalysis datasets. Targeted experimental design will reduce inter-model spread and produce robust projections, forming the European contribution to the CMIP6 High-Resolution Model Intercomparison Project, led by PRIMAVERA. It is the first time that high-resolution coupled GCMs will be used under a single experimental protocol. Coordination, and the underlying process-understanding, will significantly increase the robustness of our findings. Our new capabilities will be used to improve understanding of the drivers of variability and change in European climate, including extremes, since such regional changes continue to be characterised by high uncertainty. We will also explore the frontiers of climate modelling and of high performance computing to produce simulations with a reduced reliance on physical parameterisations. These will explicitly resolve key processes such as ocean eddies, and will include new stochastic parameterisations to represent sub-grid scale processes. These frontiers simulations will further our understanding of the robustness of climate projections.

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