InfraStructure for the European Network for Earth System modelling - PowerPoint PPT Presentation

Combine GA, Exeter, 26/05/2011 InfraStructure for the European Network for Earth System modelling IS-ENES Sylvie Joussaume, CNRS/IPSL, France

ENES http://www.enes.org  A network of European groups in climate models of the Earth system Launched in 2001 by Guy Brasseur (MOU)  More than 40 groups from academic, public and industrial world  Main focus : discuss strategy to accelerate progress in climate/Earth system modeling and understanding  Several EU projects PRISM , ENSEMBLES, METAFOR, COMBINE, IS-ENES , EUCLIPSE EMBRACE (under negotiation) Scientific Board : S. Joussaume, J.C. André, J. Mitchell, T. Palmer, J. Marotzke, R. Budich, A. Navarra, P. Kabat, B. Lawrence

IS-ENES : Infrastructure for ENES FP7 project - 2009-2012 18 partners 7.6 M € Infrastructure : Users : Models and their environment The ENES community Model data Regional climate models Interface with HPC ecosystem Impact studies Europe : 6 global climate models CMCC, COSMOS, EC-Earth, Hadley, IPSL, Meteo-France Network activities / Service activities / Joint Research activities

http://is.enes.org/ Objectives: Integration of the European ESM community  ENES strategy, exchange of expertise/training, portal Development of ESMs  service on common tools and model components, common evaluation international standards Prepare for high-end simulations  interface with PRACE, improve model performance Foster application of ESM simulations for climate change  impacts dissemination of model results, interface with decision makers and users

Climate Models Model data information distributed network & software IPCC AR4 & AR5 ESM evaluation http://is.enes.org/ http://is.enes.org/ Virt rtual Earth System Resourc rce Center European Unified access to Web service High-performance interface for the impact computing community ecosystem PROTOTYPE PRACE/DEISA Use cases / methodologies

A unified access to European ESM information & software Common software :  OASIS coupler  CDO data processing software  NEMO, Nucleus for European Modeling of the Ocean Standard configurations Support to users User support OASIS 4 Tutorial, FAQ, developments Model documentation Evaluation toolkits & for models A network of experts

Access to distributed ESM data network http://is.enes.org EU FP7 : IPSL IS-ENES & METAFOR CNRM CMCC EC-EARTH Adapted from Taylor, WGCM, 2010 Earth System Grid Requested : 2.3 Pb

High-Performance Computing HPC task force : JC André, R. Budich, MA Foujols, S. Joussaume, A. Navarra, G. Aloisio  Strategy Scientific case, requirements, benchmarks  Improve model performance Portability, parallel I/O,OASIS4  Prepare for future architectures IESP & European Exascale Software Initiative, answers to G8 call  HPC ecosystem Interface with PRACE and DEISA2 Eg « virtual community » by DEISA2 Collaboration with PRACE on EC-Earth Unified HPC environment

ENES collaboration with PRACE IS-ENES / PRACE workshop Paris 01/12/2010 3 coupled models run at high resolution on o(1000) processors Hadley, IPSL, EC-Earth 1 year project : based upon EC-Earth as a benchmark Share experience ; common issues : coupled model; OASIS 4 / NEMO ; I/O issues Data storage

Infrastructure strategy for ENES For next 10 years Background  unique foresight : EUROCLIVAR Concerted Action (1998) http://www.knmi.nl/euroclivar/frsum.html “ a better integration of the European modelling effort with respect to human potential, hardware and software ”  PRISM project and ENES  WCRP : COPES strategic framework 2005-2015 move towards “ a common climate and Earth system modelling infrastructure”  World Climate Modelling Summit, Reading May 2008

Foresight exercice to prepare the strategy Resp : John Mitchell & Jochem Marotzke with ENES SB Foresight meetings Montvillargennes, March 2010 & Hamburg, Feb 2011  Drivers : Science & Society From understanding to the development of “Climate Services”  Key science questions What is needed to provide reliable predictions of regional changes in climate? How predictable is climate ? What is the sensitivity of climate (feedbacks, nonlinear behaviours) ? Can we model and understand glacial-interglacial cycles ? Can we attrivute observed signals and understand processes ? Why ? Improve research efficiency / convince about our needs For who ? For us & for funding agencies (national, FP8, JPI Climate)

Infrastructure strategy for ENES for the next 10 years Grand Challenge project: ~ km ESM convective cloud resolving Recommandations: 1) Access to world-class HPC for climate 2) Develop the next generation of climate models To address: Exascale HPC & improved physics 3) Set up data infrastructure (global and regional models) for large range of users from impact community 4) Improve physical network (eg link national archives) 5) Strengthen european expertise and networking ENES Towards a European Climate Infrastructure Initiative : a sustainable virtual laboratory

IS-ENES, Circle2 Eranet and EEA Data needs for the impact community Copenhaguen, 11-12 january 2011  Access to both global and regional climate change simulations  Need for processing tools and processed data  Provide guidance on uncertainties and how to use climate models results  Eventually provide different sources of information in one linked system (virtual portal)  Improve access to data and training

From Rob Swart

IS-ENES, Circle2 Eranet and EEA Data needs for the impact community Copenhaguen, 11-12 january 2011  Access to both global and regional climate change simulations  Need for processing tools and processed data  Provide guidance on uncertainties and how to use climate models results  Eventually provide different sources of information in one linked system (virtual portal)  Improve access to data and training

A timely foresight !!  preparation of FP8  possibility for a follow-up of IS-ENES - call 2012  Joint Programming on Climate ( Clik’EU )  discussions on Climate Services: role of climate modelling  start of PRACE

Joint Programming JPI Climate ( CliK’EU ) Climate Knowledge for Europe Germany, Austria, Finland, Netherlands, France and Italy Belgium, Denmark, Ireland, Norway, Sweden, and United Kingdom  Joint Programming :  Strategic and long lasting (> FP)  Challenges which pan European research will be facing next 10-20 yrs  Coordination of national research, development of common strategy, joint programs and research infrastructures  Linked with EU FP and other initiatives

Connecting climate knowledge and decision making 2 1 Climate system Climate system Climate Moving towards User needs knowledge variability Services decadal climate Research predictions Science-Society Understanding Innovation interfaces key processes Communication Decadal and regional prediction tools Integrated Climate Knowledge and Action Stakeholder Decision Support perspectives participation Services for Societal Innovation Model Capacity of Multi- comparison response sectoral, multi-level Knowledge Socio-ecological Integration integration constraints Sustainable Decision Making Socio-ecological Transformation Synergies and Strategic Tools of Society context knowledge trade-offs planning 3 4 3

Module 1 : Moving towards reliable decadal climate predictions  Investigate climate predictability on seasonal to decadal timescales  Provide reliable climate information for the next few decades and up to the centennial scale  Improve the observation, understanding and modelling of key processes and mechanisms  Promote and develop a european climate modelling collaboration environment  Promote and develop a european collaboration environment for long-term monitoring and analysis of the earth system

CONCLUSIONS ENES : strengthen the European collaboration (eg COMBINE) and  infrastructure (IS-ENES) ENES : key role to play in JPI Climate  JPI Climate : key role to reinforce ENES (national & EC) Next call on « seasonal to decadal prediction » ENES strategy : key for FP8, JPI Climate, PRACE  Future models: still to clarify how far we want to go on collaboration Strategy will need regular revisions IS-ENES : importance of e-infrastructure for climate modelling  At starting point, Further developments : include RCMs, model developments, service to impact community … FEEDBACKS !