Ensemble Data Assimilation System Based on Control Theory Expired 31 August 2008
نویسندگان
چکیده
Research team: David A. Randall (Co-PI) Professor, Atmospheric Science Department, Colorado State University Dacian N. Daescu (Co-PI) Assistant Professor, Department of Mathematics and Statistics, Portland State University Steven J. Fletcher Cooperative Institute for Research in the Atmosphere, Colorado State University Bahri Uzuznoglu Department of Scientific Computing, Florida State University Xiaozhen Xiong Graduate Student, Florida State University Mohamed Jardak Research Associate, Florida State University
منابع مشابه
Non-differentiable Minimization in the Context of the Maximum Likelihood Ensemble Filter (mlef)
The Maximum Likelihood Ensemble Filter (MLEF) is a control theory based ensemble data assimilation algorithm. The MLEF is presented and its basic equations discussed. Its relation to Kalman filtering is examined, indicating that the MLEF can be viewed as a nonlinear extension of the Kalman filter in the sense that it reduces to the standard Kalman filter for linear operators and Gaussian Probab...
متن کاملComparison of Statistical Dynamical, Square Root and Ensemble Kalman Filters
We present a statistical dynamical Kalman filter and compare its performance to deterministic ensemble square root and stochastic ensemble Kalman filters for error covariance modeling with applications to data assimilation. Our studies compare assimilation and error growth in barotropic flows during a period in 1979 in which several large scale atmospheric blocking regime transitions occurred i...
متن کاملPotential Use of an Ensemble of Analyses in the ECMWF Ensemble Prediction System
One of the crucial aspects of the design of an ensemble prediction system is the definition of the ensemble of initial states. This work investigates the use of singular vectors, an ensemble of analyses, and a combination of the two types of perturbations in the ECMWF operational ensemble prediction system. First, the similarity between perturbations generated using initialtime singular vectors...
متن کاملAn Ensemble Ocean Data Assimilation System for Seasonal Prediction
A new ensemble ocean data assimilation system, developed for the Predictive Ocean Atmosphere Model for Australia (POAMA), is described. The new system is called PEODAS, the POAMA Ensemble Ocean Data Assimilation System. PEODAS is an approximate form of an ensemble Kalman filter system. For a given assimilation cycle, a central forecast is integrated, along with a small ensemble of forecasts tha...
متن کامل