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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications

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Cover of 'Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Sasaki’s Pathway to Deterministic Data Assimilation
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    Chapter 2 Data Assimilation for Numerical Weather Prediction: A Review
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    Chapter 3 Theoretical and Practical Issues of Ensemble Data Assimilation in Weather and Climate
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    Chapter 4 Information Measures in Ensemble Data Assimilation
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    Chapter 5 Real Challenge of Data Assimilation for Tornadogenesis
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    Chapter 6 Radar Rainfall Estimates for Hydrologic and Landslide Modeling
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    Chapter 7 High-Resolution QPE System for Taiwan
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    Chapter 8 Assimilation of Satellite Data in Improving Numerical Simulation of Tropical Cyclones: Progress, Challenge and Development
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    Chapter 9 Diagnostics for Evaluating the Impact of Satellite Observations
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    Chapter 10 Impact of the CHAMP Occultation Data on the Rainfall Forecast
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    Chapter 11 Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast
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    Chapter 12 Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation
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    Chapter 13 Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front
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    Chapter 14 Ocean Data Assimilation: A Coastal Application
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    Chapter 15 Comparison of Ensemble-Based Filters for a Simple Model of Ocean Thermohaline Circulation
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    Chapter 16 Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR
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    Chapter 17 Cycling the Representer Method with Nonlinear Models
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    Chapter 18 Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model
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    Chapter 19 Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of Tsunami Simulation Model
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    Chapter 20 Data Assimilation in Hydrology: Variational Approach
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    Chapter 21 Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office
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    Chapter 22 Assimilation of Soil Moisture and Temperature Data into Land Surface Models: A Survey
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    Chapter 23 Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System
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Title
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
Published by
Springer Berlin Heidelberg, January 2009
DOI 10.1007/978-3-540-71056-1
ISBNs
978-3-54-071056-1, 978-3-54-071055-4
Authors

Park, Seon K, Xu, Liang

Editors

Park, Seon K., Xu, Liang

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Malaysia 1 <1%
Brazil 1 <1%
Germany 1 <1%
Canada 1 <1%
Denmark 1 <1%
China 1 <1%
United States 1 <1%
Unknown 169 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 45 25%
Student > Master 24 13%
Professor > Associate Professor 8 4%
Student > Doctoral Student 7 4%
Other 21 12%
Unknown 22 12%
Readers by discipline Count As %
Earth and Planetary Sciences 67 38%
Environmental Science 26 15%
Engineering 21 12%
Physics and Astronomy 9 5%
Computer Science 8 4%
Other 14 8%
Unknown 33 19%