I. Pytharoulis, S. Kartsios, V. Kostopoulos, C. Spyrou, I. Tegoulias, D. Bampzelis, P. Zanis
{"title":"agoray项目的高分辨率数值天气预报系统","authors":"I. Pytharoulis, S. Kartsios, V. Kostopoulos, C. Spyrou, I. Tegoulias, D. Bampzelis, P. Zanis","doi":"10.3390/environsciproc2023026090","DOIUrl":null,"url":null,"abstract":": The Agroray project was aimed at the development of a high-resolution numerical weather prediction system that will allow farmers to optimize their activities and protect their products from adverse weather events. The system is based on the Weather Research and Forecasting model and focuses on Central Macedonia with a horizontal grid spacing of 1 km. The aim of this article is to describe the model configuration and validate its performance during selected frost and intense precipitation events. The evaluation against station measurements and radar precipitation showed that the optimum model setup includes Corine land use and enhanced vertical resolution near the surface.","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The High-Resolution Numerical Weather Prediction System of the Agroray Project\",\"authors\":\"I. Pytharoulis, S. Kartsios, V. Kostopoulos, C. Spyrou, I. Tegoulias, D. Bampzelis, P. Zanis\",\"doi\":\"10.3390/environsciproc2023026090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The Agroray project was aimed at the development of a high-resolution numerical weather prediction system that will allow farmers to optimize their activities and protect their products from adverse weather events. The system is based on the Weather Research and Forecasting model and focuses on Central Macedonia with a horizontal grid spacing of 1 km. The aim of this article is to describe the model configuration and validate its performance during selected frost and intense precipitation events. The evaluation against station measurements and radar precipitation showed that the optimum model setup includes Corine land use and enhanced vertical resolution near the surface.\",\"PeriodicalId\":357261,\"journal\":{\"name\":\"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/environsciproc2023026090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/environsciproc2023026090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The High-Resolution Numerical Weather Prediction System of the Agroray Project
: The Agroray project was aimed at the development of a high-resolution numerical weather prediction system that will allow farmers to optimize their activities and protect their products from adverse weather events. The system is based on the Weather Research and Forecasting model and focuses on Central Macedonia with a horizontal grid spacing of 1 km. The aim of this article is to describe the model configuration and validate its performance during selected frost and intense precipitation events. The evaluation against station measurements and radar precipitation showed that the optimum model setup includes Corine land use and enhanced vertical resolution near the surface.