Advanced Data Assimilation for Geosciences Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012

Eric Blayo, University of Grenoble, France,Marc Bocquet, Universite Paris-Est and INRIA, CEREA, joint lab Ecole des Ponts ParisTech and EdF R&D, Marne-la-Vallee, France,Emmanuel Cosme, University of Grenoble, France,Leticia F. Cugliandolo, LPTHE, Universite Paris VI, Paris, France

Eric Blayo is a Professor in applied mathematics at the University of Grenoble. He is leading a research team working on the development of mathematical and numerical methods for environmental applications.

Marc Bocquet is a Professor and Senior Researcher at the environment research centre (CEREA), a joint laboratory of Ecole des Ponts ParisTech and EDF R&D. He is working in the field of data assimilation in geosciences.

Emmanuel Cosme obtained his PhD in Earth Sciences at the University of Grenoble in 2002. Thereafter, he worked during 2 years on data assimilation for air quality in Canada, and moved back to Grenoble as an Associate Professor, to specialise in ocean data assimilation.

Leticia F. Cugliandolo: Laboratoire de Physique Theorique et Hautes Energies Universite Pierre et Marie Curie - Paris 6, Paris, France.

PART I - KEY LECTURES
1. 4D-VAR: four dimensional variational assimilation, Olivier Talagrand
2. Four-dimensional variational data assimilation, Andrew Lorenc
3. Introduction to the Kalman filter, Chris Snyder
4. Smoothers, Emmanuel Cosme
5. Observation influence diagnostic of a data assimilation system, Carla Cardinali
6. Observation impact on the short range forecast, Carla Cardinali
PART II - SPECIALIZED LECTURES
7. Background error covariances: estimation and specification, Loik Berre
8. Observation error specifications, Gerald Desroziers
9. Errors. A posteriori diagnostics, Olivier Talagrand
10. Error dynamics in ensemble Kalman filter systems: Localization, Peter Houtekamer
11. Short-range error statistics in an ensemble Kalman filter, Peter Houtekamer
12. Error dynamics in ensemble Kalman filter systems: System error, Peter Houtekamer
13. Particle filters for the geosciences, Peter Jan Van Leeuwen
14. Second order methods for error propagation in variational data assimilation, Francois-Xavier Le Dimet, Igor Gejadze, and Victor Shutyaev
15. Adjoints by automatic differentiation, Laurent Hascoet
16. Assimilation of images, Arthur Vidard
17. Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation, Laurent Debreu, Emilie Neveu, Ehouarn Simon, and Francois-Xavier Le Dimet
18. Selected topics in multiscale data assimilation, Marc Bocquet, Lin Wu, Frederic Chevallier, and Mohammad Reza Koohkan
19. Data assimilation in meteorology, Florence Rabier and Mike Fisher
20. An introduction to inverse modelling and parameter estimation for atmospheric and oceanic sciences, Marc Bocquet
21. Greenhouse gas fluxes inversion, Frederic Chevallier
22. Data assimilation in atmospheric chemistry and air quality, Hendrik Elbern, Elmar Friese, Lars Nieradzik, and Jorg Schwinger
23. Combining models and data in large-scale oceanography: examples from the consortium for Estimating the Circulation and Climate of the Ocean (ECCO), Ichiro Fukumori
24. Data assimilation in coastal oceanography: IS4DVAR in the Regional Ocean Modeling System (ROMS), Javier Zavala-Garay, John Wilkin, and Julia Levin
25. Data assimilation in glaciology, Bertrand Bonan, Maelle Nodet, Olivier Ozenda, and Catherine Ritz