Titlebook: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications; Seon K. Park (Prof.),Liang Xu Book 2009 Springer-Verlag Berlin Hei

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Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast,ts impact on the quantitative precipitation forecasting (QPF) is assessed for a heavy rainfall case occurred at the Korean peninsula in June 2005. Experiments are carried out using the PSU/NCAR MM5 model and the genetic algorithm (GA) for two parameters: the reduction rate of the convective availabl

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禁令

Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front,t by adding observation in the targeted area and so obtain the improvement of the numerical prediction accuracy of a given weather system. Many works associated with this topic have been carrying out, especially by European and USA scientists. The cyclone forming and developing in Pacific and Atlant

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Ocean Data Assimilation: A Coastal Application,n conducted in the Monterey Bay area in August 2003. The multivariate analysis of NCODA is cycled with the Navy Coastal Ocean Model (NCOM) in a sequential, incremental, update cycle. In addition to the operational data obtained from the Global Ocean Data Assimilation Experiment (GODAE) server, which

Toxoid-Vaccines

博愛(ài)家

Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR, of large systems of linear equations. Solving these systems in “real-time” or “near-real-time” in a timely manner is still a computational challenge. This paper shows how new methods in computational linear algebra are used to “speed-up” the representer-based algorithm in a variety of assimilation

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Cycling the Representer Method with Nonlinear Models,se systems requires the linearization of the nonlinear dynamics about a background state for the cost function minimization, except when the gradient of the cost function can be analytically or explicitly computed. Although there is no unique choice of linearization, the tangent linearization is to

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Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model,northwestern part of the Pacific Ocean, the East China Sea, the Yellow Sea and the East/Japan Sea. The numerical model used for the system was the Regional Ocean Model System, which is a 3-dimensional primitive-equation ocean circulation model. The performance of EnKF was evaluated by assimilating s

卵石

Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of o tsunami simulation model. The particle filter is one of the ensemble-based methods and is similar to the ensemble Kalman filter that is widely used in sequential data assimilation. We discuss the pros and cons through numerical experiments when the particle filter is used in data assimilation. In

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Seon K. Park (Prof.),Liang XuIncludes supplementary material: