CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
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3 Data assimilation for atmospheric chemistry 77<br />
3.1 Toward operational analyses and reanalyses of European air quality . . . . . . . . . . . . 77<br />
3.2 Toward the global assimilation of atmospheric data from new generation instruments . . . 79<br />
3.3 Background error covariance matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80<br />
3.4 Development of linear chemistry schemes . . . . . . . . . . . . . . . . . . . . . . . . . . 82<br />
3.5 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83<br />
4 Data assimilation for hydraulics and hydrology 84<br />
4.1 Flood forecasting improvement : data assimilation applications in hydrology for short time<br />
scales at regional scale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84<br />
4.2 Simulation and forecast of the hydraulic state of a river using data assimilation with the 1D<br />
hydraulic model MASCARET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86<br />
4.3 Investigation for the use of data assimilation techniques to improve the modeling of the<br />
hydrodynamics of the Berre lagoon with TELEMAC 3D . . . . . . . . . . . . . . . . . . 88<br />
4.4 Investigate the use of satellite measurements in conjunction with in situ data to improve<br />
water ressources studies in the framework of data assimilation in large scale hydrology . . 88<br />
4.5 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89<br />
5 Data assimilation for forest fire 90<br />
5.1 Flame speed correction using airborne fire observations . . . . . . . . . . . . . . . . . . . 90<br />
5.2 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90<br />
6 Data assimilation with EDF neutronic models 91<br />
6.1 Data assimilation for field reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . 91<br />
6.2 Robustness of data a assimilation respect to the number of measurements . . . . . . . . . 91<br />
6.3 Determination of the most important instrument for nuclear core reconstruction . . . . . . 91<br />
6.4 Optimisation of the instrument network for the nuclear core . . . . . . . . . . . . . . . . . 92<br />
6.5 Sensitivity of the data assimilation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92<br />
6.6 Parameter estimation through data assimilation . . . . . . . . . . . . . . . . . . . . . . . 92<br />
6.7 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93<br />
7 Publications 94<br />
7.1 Conference Proceedings and Book Chapters . . . . . . . . . . . . . . . . . . . . . . . . . 94<br />
7.2 Journal Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94<br />
7.3 Technical <strong>Report</strong>s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95<br />
7.4 PhD Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96<br />
4 Coupling tools and HPC Climate Modeling 97<br />
1 Introduction 99<br />
2 The OASIS coupler 100<br />
2.1 OASIS development . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100<br />
2.2 OASIS3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101<br />
2.3 OASIS4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102<br />
2.4 OASIS3-MCT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102<br />
2.5 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103<br />
vi <strong>Jan</strong>. <strong>2010</strong> – <strong>Dec</strong>. <strong>2011</strong>