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.
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.
Contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface Front-edge applications of data assimilation technique to various disciplines in Geosciences Presents new theories and methodologies in data assimilation Contains most recent studies in data assimilation Includes supplementary material: sn.pub/extras
Seon Ki Park
Data Assimilation Variational Method Adjoint Method Sensitivity Analysis Kalman Filter Monte Carlo Method Targeting Observation