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

Park, Seon Ki; Xu, Liang

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. 

Details

Published by: Springer

Publication Date: 2021-11-10

Format: Hardcover

ISBN-13: 9783030777210

DOI: 10.1007/978-3-030-77722-7

Dimensions: 235cm x155cm

Pages: 705