会议专题

Ensemble forecasting model for geomagnetic disturbance

Ensemble forecasting has been shown to offer a systematic improvement in the skill of weather and climate prediction with different models. However, little such work has been done for space weather prediction. Referring to the ensemble forecasting technique in weather prediction, a novel geomagnetic disturbance ensemble forecasting (GDEF) model is developed in this paper. This model combines two Kp forecast models, geomagnetic disturbance forecast indicators model and geomagnetic disturbance empirical energy model, with the physics-based parameter of mean solar wind speed. Applying the GDEF model to 132 events, the prediction results show that the absolute error of GDEF model is 11.55, which is obviously smaller than 12.17 and 13.85 from the two single models, respectively. Moreover, the relative error of our model is <10% for 28.03% of all events, <30% for 75.76%, and <50% for 90.15%, which is better than those of the individual models. These results demonstrate that the GDEF model can utilize the advantages of each single model and improve the accuracy of prediction. Thus, developing ensemble forecasting technique is an effective way of improving space weather prediction.

space weather prediction geomagnetic disturbance ensemble forecasting Kp index

Xie YanQiong Zhang Jun Han XianHua Xie YanQiong

Institute of Meteorology PLA University of Science and Technology Nanjing, China Institute of Science PLA University of Science and Technology Nanjing, China State Key Laboratory of Space Weather, Center for Space Science and Applied Research Chinese Academy

国际会议

2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

大连

英文

335-338

2011-07-29(万方平台首次上网日期,不代表论文的发表时间)