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" Data assimilation for atmospheric, oceanic and hydrologic applications. Vol. II "
Seon K. Park, Liang Xu, editors.
Document Type
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BL
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Record Number
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747725
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Doc. No
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b567676
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Main Entry
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Seon K. Park, Liang Xu, editors.
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Title & Author
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Data assimilation for atmospheric, oceanic and hydrologic applications. Vol. II\ Seon K. Park, Liang Xu, editors.
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Publication Statement
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Berlin ; London : Springer, ©2013.
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Series Statement
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Data assimilation for atmospheric, oceanic and hydrologic applications, v. 2
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ISBN
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3642350887
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: 9783642350887
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Contents
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A Survey of Observers for Nonlinear Dynamical Systems / Wei Kang, Arthur J. Krener, Mingqing Xiao --; Nudging Methods: A Critical Overview / S. Lakshmivarahan, John M. Lewis --; Markov Chain Monte Carlo Methods: Theory and Applications / Derek J. Posselt --; Observation Influence Diagnostic of a Data Assimilation System / Carla Cardinali --; A Question of Adequacy of Observations in Variational Data Assimilation / John M. Lewis, S. Lakshmivarahan --; Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model / Clark Amerault, Keith Sashegyi --; Skewness of the Prior Through Position Errors and Its Impact on Data Assimilation / Daniel Hodyss, Alex Reinecke --; Background Error Correlation Modeling with Diffusion Operators / Max Yaremchuk, Matthew Carrier, Scott Smith --; The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters / Dacian N. Daescu, Rolf H. Langland --; Treating Nonlinearities in Data-Space Variational Assimilation / Brian S. Powell. Linearized Physics for Data Assimilation at ECMWF / Marta Janisková, Philippe Lopez --; Recent Applications in Representer-Based Variational Data Assimilation / Boon S. Chua, Edward D. Zaron, Liang Xu --; Variational Data Assimilation for the Global Ocean / James A. Cummings, Ole Martin Smedstad --; A 4D-Var Analysis System for the California Current: A Prototype for an Operational Regional Ocean Data Assimilation System / Andrew M. Moore, Christopher A. Edwards --; A Weak Constraint 4D-Var Assimilation System for the Navy Coastal Ocean Model Using the Representer Method / Hans Ngodock, Matthew Carrier --; Ocean Ensemble Forecasting and Adaptive Sampling / Xiaodong Hong, Craig Bishop --; Climate Change and Its Impacts on Streamflow: WRF and SCE-Optimized SWAT Models / Shie-Yui Liong, Srivatsan V. Raghavan --; Entropic Balance Theory and Radar Observation for Prospective Tornado Data Assimilation / Yoshi K. Sasaki, Matthew R. Kumjian --; All-Sky Satellite Radiance Data Assimilation: Methodology and Challenges / Milija Zupanski. Development of a Two-way Nested LETKF System for Cloud-resolving Model / Hiromu Seko, Tadashi Tsuyuki, Kazuo Saito --; Observing-System Research and Ensemble Data Assimilation at JAMSTEC / Takeshi Enomoto, Takemasa Miyoshi --; Data Assimilation of Weather Radar and LIDAR for Convection Forecasting and Windshear Alerting in Aviation Applications / Wai Kin Wong, Pak Wai Chan --; Ensemble Adaptive Data Assimilation Techniques Applied to Land-Falling North American Cyclones / Brian C. Ancell, Lynn A. McMurdie --; The Advances in Targeted Observations for Tropical Cyclone Prediction Based on Conditional Nonlinear Optimal Perturbation (CNOP) Method / Feifan Zhou, Xiaohao Qin, Boyu Chen, Mu Mu --; GSI/WRF Regional Data Assimilation System and Its Application in the Weather Forecasts over Southwest Asia / Jianjun Xu, Alfred M. Powell Jr. --; Studies on the Impacts of 3D-VAR Assimilation of Satellite Observations on the Simulation of Monsoon Depressions over India / A. Chandrasekar, M. Govindan Kutty --; Parameter Estimation Using an Evolutionary Algorithm for QPF in a Tropical Cyclone / Xing Yu, Seon Ki Park, Yong Hee Lee.
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Abstract
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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 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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Subject
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Hydrology -- Mathematical models.
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Subject
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Meteorology -- Mathematical models.
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Subject
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Numerical weather forecasting.
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LC Classification
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QC996.S466 2013
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Added Entry
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Liang Xu, Dr.
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Seon K Park
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