Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. II) /
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 metho...
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Format: | eBook |
Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2013.
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Online Access: | Click here to view the full text content |
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245 | 0 | 0 | |a Data assimilation for atmospheric, oceanic and hydrologic applications (Vol. II) / |c edited by Seon Ki Park, Liang Xu. |
264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2013. | |
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520 | |a 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. | ||
650 | 0 | |a Geography. | |
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700 | 1 | |a Xu, Liang. | |
700 | 1 | |a Park, Seon Ki. | |
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