This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.Furthermore, employing linearized moist physics parameterizations in the 4D-Var minimizations has permitted the ... every time one of the physical parameterizations is modified in the non-linear forecast model (which in practice occurs atanbsp;...
|Title||:||Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications|
|Author||:||Seon Ki Park, Liang Xu|
|Publisher||:||Springer Science & Business Media - 2013-05-22|