CLIMATE MODELLING AND GLOBAL CHANGE
The ``climate'' group conducts basic and applied research in the field of climate studies. Our main objective is to make a significant contribution to the understanding of the world's climate variability on regional to global scales with the aim to improve climate forecasts as well as impact studies at seasonal-to-decadal time scales. Our strategy is based upon a dual approach based on theoretical and modelling studies as well as on the development of high-level engineering softwares needed to address new issues arising in climate science: coupling software, high-resolution coupled modelling, grid computation, data compression and reduction).
The PALM software project has reached a mature state in which the development of a large purpose dynamic coupler is now feeding a growing number of applications. If the number of data assimilation projects using this tool is still growing, they are about to be outnumbered by other computational fluid dynamics projects.
The Ocean data assimilation project is focused on the development of the NEMOVAR system which is becoming the European reference for variational ocean data assimilation. The joint development of algorithmic and scientific topics is one of the main strength of this project.
Two projects are concerned with the development of data assimilation for the modelling of, respectively, nuclear cores or hydrologic and hydraulics systems. An important effort on training is developped for the dissemination of the data assimilation approaches in new fields.
Each of these activities is endorsed by a specific group or project within the team. The various projects have deep interaction with each other through the existence of specific transverse activities (research projects, PhD thesis, contracts, formation activities ...).
More details about the team history can also be found in the past scientific reports.
SPRUCE: Seasonal forecast at high resolution on Curie
23 M CPU hours have been jointly awarded to Global Change and EAC (Météo-France) teams.
PRACE allocated this resources on TGCC Curie BULL supercomputer from november 2012 to october 2013.
SPRUCE's purpose is is to attempt to improve our capacity to predict climate variations six months ahead, by combining our best present tools and data with a high performance computation capacity which is not yet available in our production machines but is offered by PRACE Tier0 platforms.
High resolution CGCM with ocean zoom on Earth Simulator
Geoff Howell distinction for Sophie Valcke
New batch of project accepted in FP7