Memorial Volume for Yoshi K. Sasaki
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.
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Variational Data Assimilation: Optimization and Optimal Control |
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1 | (54) |
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Data Assimilation for Coupled Modeling Systems |
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55 | (16) |
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Representer-Based Variational Data Assimilation Systems: A Review |
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71 | (12) |
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Adjoint-Free 4D Variational Data Assimilation into Regional Models |
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83 | (32) |
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Convergence of a Class of Weak Solutions to the Strong Solution of a Linear Constrained Quadratic Minimization Problem: A Direct Proof Using Matrix Identities |
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115 | (6) |
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Information Quantification for Data Assimilation |
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121 | (20) |
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Quantification of Forecast Uncertainty and Data Assimilation Using Wiener's Polynomial Chaos Expansion |
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141 | (36) |
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The Treatment, Estimation, and Issues with Representation Error Modelling |
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177 | (18) |
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Soil Moisture Data Assimilation |
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195 | (24) |
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Surface Data Assimilation and Near-Surface Weather Prediction over Complex Terrain |
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219 | (22) |
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Recent Developments in Bottom Topography Mapping Using Inverse Methods |
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241 | (18) |
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The Impact of Doppler Wind Lidar Measurements on High-Impact Weather Forecasting: Regional OSSE and Data Assimilation Studies |
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259 | (26) |
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A Three-Dimensional Variational Radar Data Assimilation Scheme Developed for Convective Scale NWP |
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285 | (42) |
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Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar |
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327 | (10) |
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Assessment of Radiative Effect of Hydrometeors in Rapid Radiative Transfer Model in Support of Satellite Cloud and Precipitation Microwave Data Assimilation |
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337 | (24) |
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Toward New Applications of the Adjoint Sensitivity Tools in Data Assimilation |
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361 | (22) |
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GPS PWV Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo Metropolitan Area Local Heavy Rainfalls |
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383 | (22) |
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Validation and Operational Implementation of the Navy Coastal Ocean Model Four Dimensional Variational Data Assimilation System (NCOM 4DVAR) in the Okinawa Trough |
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405 | (24) |
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Stratospheric and Mesospheric Data Assimilation: The Role of Middle Atmospheric Dynamics |
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429 | (26) |
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A Coupled Atmosphere-Chemistry Data Assimilation: Impact of Ozone Observation on Structure of a Tropical Cyclone |
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455 | (12) |
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Adjoint Sensitivity with a Nested Limited Area Atmospheric Model |
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467 | (16) |
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On the Impact of the Diabatic Component in the Forecast Sensitivity Observation Impact Diagnostics |
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483 | (30) |
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Application of Conditional Nonlinear Optimal Perturbation to Target Observations for High-Impact Ocean-Atmospheric Environmental Events |
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513 | (14) |
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Responses of Terrestrial Ecosystem to Climate Change: Results from Approach of Conditional Nonlinear Optimal Perturbation of Parameters |
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527 | (22) |
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| Index |
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549 | |
Seon Ki Park is Professor of Environmental Science and Engineering and Director of the Severe Storm Research Center at the Ewha Womans University in Seoul, Korea. He obtained a Ph.D. in Meteorology from the University of Oklahoma, M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at University of Oklahoma, University of Maryland and NASA/Goddard Space Flight Center.
Liang Xu is a meteorologist in the data assimilation section, Marine Meteorology Division, Naval Research Laboratory in Monterey, CA. In the past several years, Dr. Xu and his team have been developing, testing, and transitioning the US Navys weak constraint mesoscale atmospheric four dimensional variational (4D-Var) data assimilation system, COAMPS-AR, to operation. He is also working on the data assimilation aspects of the land surface processes.
