. . "201900071" . "WRS_0002" . "5"^^ . "140"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "online" . "Lectures, practicals (workshops), tutorials, individual assignment and group work and written tests."@en . . . . . . "Knowledge of Programming and skills to work on a server in LINUX environment are beneficial for the learning process ,Successful completion of year 1 M-GEO WREM specialization courses, or equivalent."@en . . . . . . . . "4"^^ . "2" . "1B " . . . "2022-11-13T23:00:00Z"^^ . "Data assimilation is a standard practice in numerical weather prediction (e.g., as implemented in the European Centre for Medium-Range Weather Forecasts, ECMWF), and is increasingly used in many other areas of climate, atmosphere, ocean, land and environment modeling.\n\nData Assimilation is a process in which observations are assimilated into a dynamical numerical model in order to determine as accurately as possible the state of the physical system. This course will introduce the theoretical background, the state-of-the-art methods and practical systems, and examples of data assimilation."@en . "Data Assimilation "@en . . "Data Assimilation "@en . "Data Assimilation "@en . . . "Learning outcome"@en . . "Learn the Bayesian theory."@en . "Learn the Bayesian theory."@en .