Potential height field optimization of numerical forecast products based on EOF and Kalman filter
Ren Zhang, Pl A · Journal of PLA University of Science and Technology · 2006
Based on the method of empirical orthogonal function (EOF) and Kalman filter, a compositive prediction model of the five day 500 hPa height in summer was established to improve and promote the forecasting accuracy of subtropical high of T106. With this method, 500 hPa height was separated into functions based only on time and space, then the first 15 principal time coefficients were selected to establish the independent Kalman filter prediction models of the 15 time coefficients (square contribution 98. 7%), and the independent predicted results were integrated finally. The results show that under the premise of keeping the object's main characters, the errors of 500 hPa height system are reduced and decreased, the precision is evidently improved and promoted compared with those of T106 prediction.