Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications

✍ Scribed by John M. Lewis (auth.), Seon K. Park, Liang Xu Dr. (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 481
• Edition: 1
• Category: Library

✦ Synopsis

This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data assimilation, other important topics are also covered including targeting observation, parameter estimation, and remote sensing data retrieval. The book will be useful to individual researchers as well as graduate students as a reference in the field of data assimilation.

✦ Table of Contents

Front Matter....Pages I-XVIII
Sasaki’s Pathway to Deterministic Data Assimilation....Pages 1-19
Data Assimilation for Numerical Weather Prediction: A Review....Pages 21-65
Theoretical and Practical Issues of Ensemble Data Assimilation in Weather and Climate....Pages 67-84
Information Measures in Ensemble Data Assimilation....Pages 85-95
Real Challenge of Data Assimilation for Tornadogenesis....Pages 97-125
Radar Rainfall Estimates for Hydrologic and Landslide Modeling....Pages 127-145
High-Resolution QPE System for Taiwan....Pages 147-162
Assimilation of Satellite Data in Improving Numerical Simulation of Tropical Cyclones: Progress, Challenge and Development....Pages 163-176
Diagnostics for Evaluating the Impact of Satellite Observations....Pages 177-196
Impact of the CHAMP Occultation Data on the Rainfall Forecast....Pages 197-217
Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast....Pages 219-229
Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation....Pages 231-252
Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front....Pages 253-268
Ocean Data Assimilation: A Coastal Application....Pages 269-292
Comparison of Ensemble-Based Filters for a Simple Model of Ocean Thermohaline Circulation....Pages 293-306
Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR....Pages 307-319
Cycling the Representer Method with Nonlinear Models....Pages 321-340
Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model....Pages 341-351
Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of Tsunami Simulation Model....Pages 353-366
Data Assimilation in Hydrology: Variational Approach....Pages 367-405
Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office....Pages 407-428
Assimilation of Soil Moisture and Temperature Data into Land Surface Models: A Survey....Pages 429-448
Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System....Pages 449-463
Back Matter....Pages 465-475

✦ Subjects

Meteorology/Climatology; Environmental Monitoring/Analysis; Quantitative Geography; Hydrogeology