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ESCAPE-2 SIGNED

Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale

Total Cost €

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EC-Contrib. €

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Partnership

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 ESCAPE-2 project word cloud

Explore the words cloud of the ESCAPE-2 project. It provides you a very rough idea of what is the project "ESCAPE-2" about.

weather    models    time    foundations    parallel    climate    cross    tools    structures    techniques    computations    earth    levels    escape    overlapping    ready    efforts    components    optimize    numerical    basis    flexible    spatial    performance    operated    uranie    connecting    algorithm    scales    learning    extreme    reassessing    ensemble    sub    programming    thereby    stepping    model    combining    iterative    demonstrators    energy    portability    bespoke    esd    significantly    mathematics    prediction    1960s    class    accelerated    supporting    grid    proven    world    pioneered    hard    community    capability    benchmarks    quantify    sum    solvers    combines    forming    multiple    computation    proofed    implementing    at    exascale    mathematical    algorithmic    accuracy    originating    scalable    disciplinary    discretization    computing    physics    domain    resilience    dynamics    machine    invests    effect    combined    forecasting    quantification    solution    soft    productive    accelerating    strengthen    data   

Project "ESCAPE-2" data sheet

The following table provides information about the project.

Coordinator
EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS 

Organization address
address: SHINFIELD PARK
city: READING
postcode: RG2 9AX
website: www.ecmwf.int

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 3˙999˙650 €
 EC max contribution 3˙999˙650 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS UK (READING) coordinator 767˙548.00
2    EIDGENOESSISCHES DEPARTEMENT DES INNERN CH (BERN) participant 439˙750.00
3    INSTITUT ROYAL METEOROLOGIQUE DE BELGIQUE BE (BRUXELLES) participant 387˙485.00
4    LOUGHBOROUGH UNIVERSITY UK (LOUGHBOROUGH) participant 359˙000.00
5    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 356˙497.00
6    DANMARKS METEOROLOGISKE INSTITUT DK (KOBENHAVN) participant 307˙000.00
7    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 265˙625.00
8    POLITECNICO DI MILANO IT (MILANO) participant 256˙250.00
9    DEUTSCHES KLIMARECHENZENTRUM GMBH DE (HAMBURG) participant 255˙000.00
10    BULL SAS FR (LES CLAYES SOUS BOIS) participant 242˙993.00
11    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 232˙500.00
12    FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI IT (LECCE) participant 130˙000.00

Map

 Project objective

ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for weather and climate domain benchmarks to be deployed on extreme-scale demonstrators and beyond. This will be achieved by developing bespoke and novel mathematical and algorithmic concepts, combining them with proven methods, and thereby reassessing the mathematical foundations forming the basis of Earth system models. ESCAPE-2 also invests in significantly more productive programming models for the weather-climate community through which novel algorithm development will be accelerated and future-proofed. Eventually, the project aims at providing exascale-ready production benchmarks to be operated on extreme-scale demonstrators (EsD) and beyond. ESCAPE-2 combines cross-disciplinary uncertainty quantification tools (URANIE) for high-performance computing, originating from the energy sector, with ensemble based weather and climate models to quantify the effect of model and data related uncertainties on forecasting – a capability, which weather and climate prediction has pioneered since the 1960s. The mathematics and algorithmic research in ESCAPE-2 will focus on implementing data structures and tools supporting parallel computation of dynamics and physics on multiple scales and multiple levels. Highly-scalable spatial discretization will be combined with proven large time-stepping techniques to optimize both time-to-solution and energy-to-solution. Connecting multi-grid tools, iterative solvers, and overlapping computations with flexible-order spatial discretization will strengthen algorithm resilience against soft or hard failure. In addition, machine learning techniques will be applied for accelerating complex sub-components. The sum of these efforts will aim at achieving at the same time: performance, resilience, accuracy and portability.

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The information about "ESCAPE-2" are provided by the European Opendata Portal: CORDIS opendata.

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