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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

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Cover of 'Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)'

Table of Contents

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    Book Overview
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    Chapter 1 A Survey of Observers for Nonlinear Dynamical Systems
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    Chapter 2 Nudging Methods: A Critical Overview
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    Chapter 3 Markov Chain Monte Carlo Methods: Theory and Applications
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    Chapter 4 Observation Influence Diagnostic of a Data Assimilation System
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    Chapter 5 A Question of Adequacy of Observations in Variational Data Assimilation
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    Chapter 6 Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model
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    Chapter 7 Skewness of the Prior Through Position Errors and Its Impact on Data Assimilation
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    Chapter 8 Background Error Correlation Modeling with Diffusion Operators
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    Chapter 9 The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters
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    Chapter 10 Treating Nonlinearities in Data-Space Variational Assimilation
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    Chapter 11 Linearized Physics for Data Assimilation at ECMWF
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    Chapter 12 Recent Applications in Representer-Based Variational Data Assimilation
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    Chapter 13 Variational Data Assimilation for the Global Ocean
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    Chapter 14 A 4D-Var Analysis System for the California Current: A Prototype for an Operational Regional Ocean Data Assimilation System
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    Chapter 15 A Weak Constraint 4D-Var Assimilation System for the Navy Coastal Ocean Model Using the Representer Method
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    Chapter 16 Ocean Ensemble Forecasting and Adaptive Sampling
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    Chapter 17 Climate Change and Its Impacts on Streamflow: WRF and SCE-Optimized SWAT Models
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    Chapter 18 Entropic Balance Theory and Radar Observation for Prospective Tornado Data Assimilation
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    Chapter 19 All-Sky Satellite Radiance Data Assimilation: Methodology and Challenges
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    Chapter 20 Development of a Two-way Nested LETKF System for Cloud-resolving Model
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    Chapter 21 Observing-System Research and Ensemble Data Assimilation at JAMSTEC
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    Chapter 22 Data Assimilation of Weather Radar and LIDAR for Convection Forecasting and Windshear Alerting in Aviation Applications
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    Chapter 23 Ensemble Adaptive Data Assimilation Techniques Applied to Land-Falling North American Cyclones
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    Chapter 24 The Advances in Targeted Observations for Tropical Cyclone Prediction Based on Conditional Nonlinear Optimal Perturbation (CNOP) Method
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    Chapter 25 GSI/WRF Regional Data Assimilation System and Its Application in the Weather Forecasts over Southwest Asia
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    Chapter 26 Studies on the Impacts of 3D-VAR Assimilation of Satellite Observations on the Simulation of Monsoon Depressions over India
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    Chapter 27 Parameter Estimation Using an Evolutionary Algorithm for QPF in a Tropical Cyclone
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Title
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-35088-7
ISBNs
978-3-64-235087-0, 978-3-64-235088-7, 978-3-66-251023-0
Editors

Seon Ki Park, Liang Xu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Brazil 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 31%
Researcher 27 20%
Student > Master 19 14%
Student > Doctoral Student 6 5%
Student > Bachelor 6 5%
Other 16 12%
Unknown 18 14%
Readers by discipline Count As %
Earth and Planetary Sciences 48 36%
Engineering 23 17%
Environmental Science 11 8%
Computer Science 8 6%
Mathematics 7 5%
Other 14 11%
Unknown 22 17%