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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Title
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) [electronic resource] / edited by Seon Ki Park, Liang Xu.
ISBN
9783030777227
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XXI, 705 p.) 239 illus., 224 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Contents
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
An Overview of KMA's Operational NWP Data Assimilation Systems.
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