{"title":"基于灰色模型的极端天气强度预测","authors":"Yong-hong Zhou, Xinyue Wang, Daozhong Zhang","doi":"10.1145/3548608.3559193","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a prediction method for extreme weather events. In order to evaluate and forecast the intensity of extreme weather events, we first quantify the intensity of extreme weather, using the T-Year weather events concept from a mathematical point of view. On this basis, the grey model, which has an excellent performance in short-term prediction, is then used to predict the occurrence rate of extreme weather events with specific intensities. The effectiveness of the proposed method is verified through an illustrative example using hail weather data in the United States.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting of Extreme Weather Intensity Based on Grey Model\",\"authors\":\"Yong-hong Zhou, Xinyue Wang, Daozhong Zhang\",\"doi\":\"10.1145/3548608.3559193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a prediction method for extreme weather events. In order to evaluate and forecast the intensity of extreme weather events, we first quantify the intensity of extreme weather, using the T-Year weather events concept from a mathematical point of view. On this basis, the grey model, which has an excellent performance in short-term prediction, is then used to predict the occurrence rate of extreme weather events with specific intensities. The effectiveness of the proposed method is verified through an illustrative example using hail weather data in the United States.\",\"PeriodicalId\":201434,\"journal\":{\"name\":\"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3548608.3559193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3548608.3559193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting of Extreme Weather Intensity Based on Grey Model
In this paper, we propose a prediction method for extreme weather events. In order to evaluate and forecast the intensity of extreme weather events, we first quantify the intensity of extreme weather, using the T-Year weather events concept from a mathematical point of view. On this basis, the grey model, which has an excellent performance in short-term prediction, is then used to predict the occurrence rate of extreme weather events with specific intensities. The effectiveness of the proposed method is verified through an illustrative example using hail weather data in the United States.