Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: PARK, SEON KI. (Editor), Xu, Liang. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Subjects:
Table of Contents:
  • Sasaki's Pathway to Deterministic Data Assimilation
  • Data Assimilation for Numerical Weather Prediction: A Review
  • Theoretical and Practical Issues of Ensemble Data Assimilation in Weather and Climate
  • Information Measures in Ensemble Data Assimilation
  • Real Challenge of Data Assimilation for Tornadogenesis
  • Radar Rainfall Estimates for Hydrologic and Landslide Modeling
  • High-Resolution QPE System for Taiwan
  • Assimilation of Satellite Data in Improving Numerical Simulation of Tropical Cyclones: Progress, Challenge and Development
  • Diagnostics for Evaluating the Impact of Satellite Observations
  • Impact of the CHAMP Occultation Data on the Rainfall Forecast
  • Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast
  • Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation
  • Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front
  • Ocean Data Assimilation: A Coastal Application
  • Comparison of Ensemble-Based Filters for a Simple Model of Ocean Thermohaline Circulation
  • Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR
  • Cycling the Representer Method with Nonlinear Models
  • Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model
  • Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of Tsunami Simulation Model
  • Data Assimilation in Hydrology: Variational Approach
  • Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office
  • Assimilation of Soil Moisture and Temperature Data into Land Surface Models: A Survey
  • Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System.