IN THE FIELDS OF OCEANOGRAPHY, METEOROLOGY AND CLIMATOLOGY, THE DATA ANALYSIS AND DATA ASSIMILATION TECHNIQUES COMBINE IN AN OPTIMAL WAY
DIFFERENT DATA SETS, POSSIBLY USING DYNAMICAL CONSTRAINTS DEFINED BY NUMERICAL MODELS.
THE EOS-COST DAAM SCHOOL WILL PROVIDE TRAINING IN FUNDAMENTAL METHODOLOGY, STANDARD TECHNIQUES AND SEVERAL STATE OF THE ART APPLICATIONS.
THEORETICAL LECTURES WILL BE FOLLOWED BY PRACTICAL EXERCISES. THE SCHOOL WILL COVER BAYESIAN, VARIATIONAL AND ENSEMBLE TECHNIQUES, AND WILL PRESENT APPLICATIONS WITH OPERATIONAL SYSTEMS AND CLIMATOLOGICAL DATA ANALYSIS.
TOPICS
FUNDAMENTALS OF COMBINING PHYSICAL DATA IN AN OPTIMAL WAY
BAYESIAN AND ENSEMBLE METHODS
VARIATIONAL METHODS
HYBRID METHODS (ENSEMBLE + VARIATIONAL)
REDUCED ORDER METHODS
OPTIMAL INTERPOLATION
DATA-INTERPOLATING VARIATIONAL ANALYSIS (DIVA)
APPLICATION OF DIVA
FURTHER INFORMATION ABOUT THE SCHOOL AND THE APPLICATION PROCEDURE CAN
BE FOUND IN THE ATTACHED FLYER OR VISITING THE WEBSITE.
APPLICATION DEADLINE: FEBRUARY 17 2016.
CONTACT AND INFORMATION: Academic.mobility@rshu.ru
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