Abstract
In recent years, SVM (Support Vector Machine) has been widely used in the field of weather forecasting, especially in the medium and long-term weather forecasting, but it is seldom used in the precipitation nowcasting. Without considering other meteorological factors, this paper uses SVM method in precipitation nowcasting based on the radar images. The statistical results of four difference thunderstorm events shown that the method based on SVM has good performance in the precipitation nowcastings in 0-2 h lead-time forecasting.
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Acknowledgement
This research was financially supported by the Natural Science Foundation of Guangxi (NO. 2018JJA150144,2018GXNSFAA294079) and the National Science Foundation of China (NO. 61562008, 41401524, 4166010274).
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Mai, X., Zhong, H., Li, L. (2020). Using SVM to Provide Precipitation Nowcasting Based on Radar Data. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_37
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DOI: https://doi.org/10.1007/978-3-030-32591-6_37
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