In the fields of oceanography, meteorology and climatology, the Data Assimilation (DA) combines in an optimal way observations and models. In the atmosphere DA is mature and developed, while in the recent years it has become the central part of operational oceanographic systems and climatological studies of the oceans. The DA School will describe the fundamental methods and techniques used in the DA and state of the art applications. Theoretical lectures will be followed by practical exercises. The school will cover Bayesian, variational and ensemble methods, and will present applications with operational DA systems and climatological data analysis.
The following topics will be discussed:
- Basic theoretical framework in DA
- Variational methods
- Bayesian and Ensemble methods
- Hybrid methods (ensemble + variational)
- Monte Carlo methods
- Adaptive Modeling
- Impact of observations
- Applications of DA
Srdjan Dobricic, CMCC, Bologna, Italy – Tomislava Vukicevic, Hurricane Research Division AOML/NOAA, USA.
Andrew Lorenc (Met Office, UK)
Pierre Brasseur (CNRS/LGGE, France)
Pierre De Mey (LEGOS, France)
Srdjan Dobricic (CMCC, Italy)
Pierre Lermusiaux (MIT, USA)
Simona Masina (CMCC, Italy)
Andrew Moore (UCD, USA)
Nadia Pinardi (University of Bologna, Italy)
Pavel Sakov (NERSC, Norway)
Olivier Talagrand (École Normale Supérieure, France)
Tomislava Vukicevic (HRD/AOML/NOAA, USA)
Organization of lectures
The School will consist of frontal lectures given in the morning, and laboratory sessions in the afternoon. Each topic will be covered during one day of lectures and laboratory sessions. The working language will be English.
Contact: Telephone: +39 051 3782 637 – fax: +39051 3782 654
Web address: https://www.cmcc.it/
It is required that the participants have an adequate knowledge of English. The number of participants is limited to 20 students. The registration fee of 300 euro is obligatory. It covers accommodation expenses. A limited number of students can obtain financial support covering accommodation expenses.
When applying the participants should send by e-mail a letter of interest and a C.V. Those participants who would like to obtain financial support should send by e-mail a letter of recommendation.
The e-mail address for sending applications is: email@example.com
The deadline for requesting participation is April 10, 2013.
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