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

Data Assimilation for Chaotic Dynamics.- Multifidelity Data Assimilation for Physical Systems.- Filtering with One-Step-Ahead Smoothing for Efficient Data Assimilation.- Sparsity-Based Kalman Filters for Data Assimilation.- Perturbations by the Ensemble Transform.- Stochastic Representations for Model Uncertainty in the Ensemble Data Assimilation System.- Second-Order Methods in Variational Data Assimilation.- Statistical Parameter Estimation for Observation Error Modelling: Application to Meteor Radars.- Observability Gramian and Its Role in the Placement of Observations in Dynamic Data Assimilation.- Placement of Observations for Variational Data Assimilation: Application to Burgers’ Equation and Seiche Phenomenon.- Analysis, Lateral Boundary, and Observation Impacts in a Limited Area Model.- Improving Near-Surface Weather Forecasts with Strongly Coupled Land-Atmosphere Data Assimilation.- An Overview of KMA’s Operational NWP Data Assimilation Systems.