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PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment

PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment

Objective

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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Coordinator

MET OFFICE

Address

Fitzroy Road
Ex1 3pb Exeter

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 613 162,50

Participants (20)

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THE UNIVERSITY OF READING

United Kingdom

EU Contribution

€ 1 670 943,75

KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI

Netherlands

EU Contribution

€ 1 263 516,25

SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT

Sweden

EU Contribution

€ 1 096 250

CENTRE EUROPEEN DE RECHERCHE ET DE FORMATION AVANCEE EN CALCUL SCIENTIFIQUE

France

EU Contribution

€ 708 896

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU Contribution

€ 1 240 250

UNIVERSITE CATHOLIQUE DE LOUVAIN

Belgium

EU Contribution

€ 738 000

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain

EU Contribution

€ 1 277 425

FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI

Italy

EU Contribution

€ 882 500

ALFRED-WEGENER-INSTITUT HELMHOLTZ-ZENTRUM FUR POLAR- UND MEERESFORSCHUNG

Germany

EU Contribution

€ 721 425

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 456 720

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 645 000

EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS

United Kingdom

EU Contribution

€ 1 194 166

UNIVERSITY OF LEEDS

United Kingdom

EU Contribution

€ 464 500

STOCKHOLMS UNIVERSITET

Sweden

EU Contribution

€ 172 550

UNITED KINGDOM RESEARCH AND INNOVATION

United Kingdom

EU Contribution

€ 560 290

SCIENCE AND TECHNOLOGY FACILITIES COUNCIL

United Kingdom

NATURAL ENVIRONMENT RESEARCH COUNCIL

United Kingdom

PREDICTIA INTELLIGENT DATA SOLUTIONS SL

Spain

EU Contribution

€ 91 500

DEUTSCHES KLIMARECHENZENTRUM GMBH

Germany

EU Contribution

€ 138 375

ADMINISTRATIA NATIONALA DE METEOROLOGIE R.A.

Romania

EU Contribution

€ 32 500

Project information

Grant agreement ID: 641727

Status

Ongoing project

  • Start date

    1 November 2015

  • End date

    31 July 2020

Funded under:

H2020-EU.3.5.1.

  • Overall budget:

    € 14 967 969,50

  • EU contribution

    € 14 967 969,50

Coordinated by:

MET OFFICE

United Kingdom