Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
Seon Ki Park, Liang Xu
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.
Категории:
Том:
4
Год:
2021
Издание:
1
Издательство:
Springer
Язык:
english
Страницы:
726
ISBN 10:
3030777219
ISBN 13:
9783030777210
Серия:
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
Файл:
PDF, 27.44 MB
IPFS:
,
english, 2021
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