Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and...
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oai:112.137.131.14:VNU_123-302812020-10-14T02:25:06Z Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications Park, Seon Ki Xu, Liang Earth Environmental Science ; Earth sciences -- Mathematics ; Geophysics -- Mathematics 550 This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data assimilation, other important topics are also covered including targeting observation, parameter estimation, and remote sensing data retrieval. The book will be useful to individual researchers as well as graduate students as a reference in the field of data assimilation. 2017-04-18T01:59:39Z 2017-04-18T01:59:39Z 2009 Book 978-3-540-71055-4 http://repository.vnu.edu.vn/handle/VNU_123/30281 en 481 p. application/pdf Springer |
institution |
Vietnam National University, Hanoi |
building |
VNU Library & Information Center |
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Asia |
country |
Vietnam Vietnam |
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VNU Library and Information Center |
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VNU Digital Repository |
language |
English |
topic |
Earth Environmental Science ; Earth sciences -- Mathematics ; Geophysics -- Mathematics 550 |
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Earth Environmental Science ; Earth sciences -- Mathematics ; Geophysics -- Mathematics 550 Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
description |
This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data assimilation, other important topics are also covered including targeting observation, parameter estimation, and remote sensing data retrieval. The book will be useful to individual researchers as well as graduate students as a reference in the field of data assimilation. |
author2 |
Park, Seon Ki |
author_facet |
Park, Seon Ki |
format |
Book |
title |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
title_short |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
title_full |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
title_fullStr |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
title_full_unstemmed |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
title_sort |
data assimilation for atmospheric, oceanic and hydrologic applications |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/30281 |
_version_ |
1681763250295799808 |