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

Acronimo: PRIMAVERA

Data di inizio

2015-11-01

Data di fine

2019-10-31

Capofila/Coordinatore

MET OFFICE (UK)


Abstract

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.


Programma

H2020-EU.3.5.1.

Call

H2020-SC5-2014-two-stage


Partecipanti Pugliesi
Partner Ruolo Contributo UE Referente
Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici Partecipante 882,500.00€

Partner Ruolo Paese
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Partecipante UK
THE UNIVERSITY OF READING Partecipante UK
ALFRED-WEGENER-INSTITUT HELMHOLTZ- ZENTRUM FUER POLAR- UND MEERESFORSCHUNG Partecipante DE
SCIENCE AND TECHNOLOGY FACILITIES COUNCIL Partecipante UK
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION Partecipante ES
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Partecipante DE
UNIVERSITE CATHOLIQUE DE LOUVAIN Partecipante BE
UNIVERSITY OF LEEDS Partecipante UK
CENTRE EUROPEEN DE RECHERCHE ET DE FORMATION AVANCEE EN CALCUL SCIENTIFIQUE Partecipante FR
CONSIGLIO NAZIONALE DELLE RICERCHE Partecipante IT
PREDICTIA INTELLIGENT DATA SOLUTIONS SL Partecipante ES
EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS Partecipante UK
SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT Partecipante SE
DEUTSCHES KLIMARECHENZENTRUM GMBH Partecipante DE
KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI Partecipante NL
STOCKHOLMS UNIVERSITET Partecipante SE
NATURAL ENVIRONMENT RESEARCH COUNCIL Partecipante UK

Budget Totale

14,967,969.00€

Contributo UE

14,967,969.00€