S. Correia, Â. Lourenço, João Rio, V. Prior, N. Moreira
{"title":"葡萄牙雷电探测网络,应用和开发的产品","authors":"S. Correia, Â. Lourenço, João Rio, V. Prior, N. Moreira","doi":"10.1109/ICLP.2016.7791457","DOIUrl":null,"url":null,"abstract":"The Portuguese Meteorological Institute (IPMA) has been exploiting a Lightning Detection Network (LDN) since June 2002, with 4 sensors in mainland Portugal operating in integration with 5 more Spanish sensors since January 2003, in cooperation with the Agencia Estatal de Meteorologia (AEMET, Spain). A study based on 13 years of lightning data is presented using Cloud-to-Ground (CG) flash density maps on a 0.2°×0.2° resolution grid, as well as intra and inter-annual distributions. Thunderstorm events in mainland Portugal result primarily from frontal systems approaching in the winter/spring season and convective instability in the summer/autumn season, especially due to diurnal surface heating particularly observed during the months of May to September. Two case studies representative of summer convection and a frontal system type are presented. A forecast method based on a logistic regression model using 4 stability indexes, as predictors, is computed for a specific thunderstorm event.","PeriodicalId":373744,"journal":{"name":"2016 33rd International Conference on Lightning Protection (ICLP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Portuguese lightning detection network, applications and developed products\",\"authors\":\"S. Correia, Â. Lourenço, João Rio, V. Prior, N. Moreira\",\"doi\":\"10.1109/ICLP.2016.7791457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Portuguese Meteorological Institute (IPMA) has been exploiting a Lightning Detection Network (LDN) since June 2002, with 4 sensors in mainland Portugal operating in integration with 5 more Spanish sensors since January 2003, in cooperation with the Agencia Estatal de Meteorologia (AEMET, Spain). A study based on 13 years of lightning data is presented using Cloud-to-Ground (CG) flash density maps on a 0.2°×0.2° resolution grid, as well as intra and inter-annual distributions. Thunderstorm events in mainland Portugal result primarily from frontal systems approaching in the winter/spring season and convective instability in the summer/autumn season, especially due to diurnal surface heating particularly observed during the months of May to September. Two case studies representative of summer convection and a frontal system type are presented. A forecast method based on a logistic regression model using 4 stability indexes, as predictors, is computed for a specific thunderstorm event.\",\"PeriodicalId\":373744,\"journal\":{\"name\":\"2016 33rd International Conference on Lightning Protection (ICLP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 33rd International Conference on Lightning Protection (ICLP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLP.2016.7791457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 33rd International Conference on Lightning Protection (ICLP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLP.2016.7791457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Portuguese lightning detection network, applications and developed products
The Portuguese Meteorological Institute (IPMA) has been exploiting a Lightning Detection Network (LDN) since June 2002, with 4 sensors in mainland Portugal operating in integration with 5 more Spanish sensors since January 2003, in cooperation with the Agencia Estatal de Meteorologia (AEMET, Spain). A study based on 13 years of lightning data is presented using Cloud-to-Ground (CG) flash density maps on a 0.2°×0.2° resolution grid, as well as intra and inter-annual distributions. Thunderstorm events in mainland Portugal result primarily from frontal systems approaching in the winter/spring season and convective instability in the summer/autumn season, especially due to diurnal surface heating particularly observed during the months of May to September. Two case studies representative of summer convection and a frontal system type are presented. A forecast method based on a logistic regression model using 4 stability indexes, as predictors, is computed for a specific thunderstorm event.