Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

Beschreibung

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 adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is 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 adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation. 
Introduces new theories and methodologies in data assimilation Contains the most recent studies in data assimilation Presents front-edge applications of data assimilation technique to various disciplines in Geosciences

Autor*in

Seon Ki Park

Themen in »Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)«

Hybrid Data Assimilation Kalman Filter Monte Carlo Method Artificial Intelligence Application Wiener Polynomial Chaos Expansion

Stimmen zu »Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)«

Details

Link teilen