On 19 July, Prof. Jin Feifei from Hawaii University visited the LCS and delivered report on “Towards a new dynamic framework for seasonal prediction”. Dr. Xu Xiaofeng, Deputy Administrator of CMA, and over 30 experts and graduate students from NCC and CAMS attended the seminar. Dr. Dong Wenjie, Director-General of NCC, chaired the seminar.

      Prof. Jin Feifei was mainly engaged in research on atmospheric and oceanic dynamics in which he has obtained plentiful and substantial fruits. Prof. Jin firstly briefed the status quo and existed problems of current seasonal mean assembly prediction system, and indicated that it may be a new way to improve the seasonal prediction by not only predicting the seasonal mean anomaly but also directly predicting the climate variation anomaly. In this regard, he proposed to set up a new anomaly GCM framework, to looking the daily weather activity as anomaly of first-moment and second-moment probability density function, and to simulate or predict the change of monthly/seasonal mean and variance. Prof. Jin’s new method was based on the combination of statistics and dynamics which tried to improve the seasonal prediction by using historical data.

     Prof. Jin’s report was of great value in climate prediction and development of climate system modeling which had drawn interest and attention of the participants.