In many applications of geophysics (weather forecast, study of climate evolution and variability), it is necessary to get the best possible estimate of the state of the system under study. In general, information about this system comes from observations and numerical models. However, none of these sources is perfect. Data assimilation designates the set of mathematical methods used to optimally combine observations with models, to fulfil the need of an accurateestimate of the system state. Because of the weather forecast problem in particular, the geophysical sciences have shaped a long history and a strong background on data assimilation, particularly with big and complex systems such as the atmosphere and the ocean. This book gathers notes from lecturesgiven during a three-week summer school on the fundamentals and the most recent developments of geophysical data assimilation.Tropical cyclone prediction using a barotropic model initialized by a generalized inverse method. Mon. ... I: Methods and application to ATOVS data. ... A strategy for operational implementation of 4D-Var, using an incremental approach.
|Title||:||Advanced Data Assimilation for Geosciences|
|Publisher||:||Oxford University Press, USA - 2014-10-30|