Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications - Rilegato

Rilegato

ISBN 10: 3030777219 ISBN 13: 9783030777210

Casa editrice: Springer Nature, 2021

Riassunto

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. 

Su questo libro

Informazioni sull?autore

<p><b>Seon Ki Park</b>&nbsp;is Professor of Environmental Science and Engineering and&nbsp;Founding Director&nbsp;of the Severe Storm Research Center&nbsp;and the Center for Climate/Environment Change Prediction Research&nbsp;at the Ewha Womans University&nbsp;in Seoul, Korea.&nbsp;He obtained a Ph.D. in Meteorology from the&nbsp;University of Oklahoma&nbsp;and&nbsp;M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at&nbsp;the&nbsp;University of Oklahoma, University of Maryland and NASA/Goddard Space&nbsp;Flight Center.&nbsp;His research focuses on&nbsp;storm- and meso-scale meteorology, hydrometeorology,&nbsp;and&nbsp;parameter estimation and data assimilation to improve numerical weather/climate prediction.</p><p><b>Liang Xu</b> is the Head of Atmospheric Dynamics & Prediction Branch and a Meteorologist at the Marine Meteorology Division, Naval Research Laboratory in Monterey, California, USA. He leads a fully integrated research program encompassing all aspects of numerical weather prediction and data assimilation, focusing on critical issues related to the analysis and prediction of atmospheric processes and phenomena within the Navy's Earth System Prediction Capability. He and his team have developed, tested, and transitioned to the Fleet Numerical Meteorology and Oceanographic Center (FNMOC), an operational global atmospheric 4DVar data assimilation system.&nbsp;<br></p>

Dalla quarta di copertina

This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface.&nbsp;It spans both theoretical and applicative aspects with various methodologies such as&nbsp;variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including&nbsp;adaptive observations, sensitivity analysis, parameter estimation&nbsp;and AI applications.&nbsp;The book&nbsp;is&nbsp;useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030777219
• ISBN 13: 9783030777210
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 728
• Redattore: Park Seon Ki, Xu Liang
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania