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Biographie et livres de SEON KI PARK

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Seon Ki Park is Professor of Meteorology at Ewha Womans University, Seoul, Korea. His research focuses on storm-scale to meso-scale analysis, parameter estimation, and data assimilation to improve numerical weather and climate prediction. He co-edited a series of four volumes titled Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (2009, 2013, 2017, 2021).
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Dernière parution

Téléchargez le livre :  Numerical Weather Prediction: East Asian Perspectives
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Numerical Weather Prediction: East Asian Perspectives

Seon Ki Park


Springer

2023-11-20

PDF, ePub

This book describes the history, development, current status of numerical weather prediction (NWP), in both operational and research modes, and various applications of NWP models, which have been made by the scientists in East Asian countries. In...

189,89

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Télécharger le livre :  Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
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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...

Editeur : Springer
Parution : 2021-11-09

PDF, ePub

168,79
Télécharger le livre :  Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
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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...

Editeur : Springer
Parution : 2016-12-26

PDF, ePub

210,99
Télécharger le livre :  Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
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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...

Editeur : Springer
Parution : 2013-05-22

ePub

210,99