Book 2009

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications


ISBN: 978-3-540-71055-4 (Print) 978-3-540-71056-1 (Online)

Table of contents (23 chapters)

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  1. Front Matter

    Pages I-XVIII

  2. Chapter

    Pages 1-19

    Sasaki’s Pathway to Deterministic Data Assimilation

  3. Chapter

    Pages 21-65

    Data Assimilation for Numerical Weather Prediction: A Review

  4. Chapter

    Pages 67-84

    Theoretical and Practical Issues of Ensemble Data Assimilation in Weather and Climate

  5. Chapter

    Pages 85-95

    Information Measures in Ensemble Data Assimilation

  6. Chapter

    Pages 97-125

    Real Challenge of Data Assimilation for Tornadogenesis

  7. Chapter

    Pages 127-145

    Radar Rainfall Estimates for Hydrologic and Landslide Modeling

  8. Chapter

    Pages 147-162

    High-Resolution QPE System for Taiwan

  9. Chapter

    Pages 163-176

    Assimilation of Satellite Data in Improving Numerical Simulation of Tropical Cyclones: Progress, Challenge and Development

  10. Chapter

    Pages 177-196

    Diagnostics for Evaluating the Impact of Satellite Observations

  11. Chapter

    Pages 197-217

    Impact of the CHAMP Occultation Data on the Rainfall Forecast

  12. Chapter

    Pages 219-229

    Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast

  13. Chapter

    Pages 231-252

    Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation

  14. Chapter

    Pages 253-268

    Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front

  15. Chapter

    Pages 269-292

    Ocean Data Assimilation: A Coastal Application

  16. Chapter

    Pages 293-306

    Comparison of Ensemble-Based Filters for a Simple Model of Ocean Thermohaline Circulation

  17. Chapter

    Pages 307-319

    Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR

  18. Chapter

    Pages 321-340

    Cycling the Representer Method with Nonlinear Models

  19. Chapter

    Pages 341-351

    Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model

  20. Chapter

    Pages 353-366

    Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of Tsunami Simulation Model

  21. Chapter

    Pages 367-405

    Data Assimilation in Hydrology: Variational Approach

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