Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (4) - Couverture souple

Couverture souple

ISBN 10 : 3030777243 ISBN 13 : 9783030777241

Editeur : Springer Nature Switzerland AG, 2022

Synopsis

Data Assimilation for Chaotic Dynamics.- Multifidelity Data Assimilation for Physical Systems.- Filtering with One-Step-Ahead Smoothing for Efficient Data Assimilation.- Sparsity-Based Kalman Filters for Data Assimilation.- Perturbations by the Ensemble Transform.- Stochastic Representations for Model Uncertainty in the Ensemble Data Assimilation System.- Second-Order Methods in Variational Data Assimilation.- Statistical Parameter Estimation for Observation Error Modelling: Application to Meteor Radars.- Observability Gramian and Its Role in the Placement of Observations in Dynamic Data Assimilation.- Placement of Observations for Variational Data Assimilation: Application to Burgers' Equation and Seiche Phenomenon.- Analysis, Lateral Boundary, and Observation Impacts in a Limited Area Model.- Improving Near-Surface Weather Forecasts with Strongly Coupled Land-Atmosphere Data Assimilation.- An Overview of KMA's Operational NWP Data Assimilation Systems.

A propos du livre

À propos de l'auteur

Seon Ki Park is Professor of Environmental Science and Engineering and Founding Director of the Severe Storm Research Center and the Center for Climate/Environment Change Prediction Research at the Ewha Womans University in Seoul, Korea. He obtained a Ph.D. in Meteorology from the University of Oklahoma and M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at the University of Oklahoma, University of Maryland and NASA/Goddard Space Flight Center. His research focuses on storm- and meso-scale meteorology, hydrometeorology, and parameter estimation and data assimilation to improve numerical weather/climate prediction.

Liang Xu 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.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3030777243
• ISBN 13: 9783030777241
• Reliure: Broché
• Nombre de pages: 726
• Éditeur: Park Seon Ki, Xu Liang
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne