Development of Lightning Nowcasting and Warning Technique and Its Application
The Chinese Academy of Meteorological Sciences Lightning Nowcasting and Warning System (CAMS_LNWS) was designed to predict lightning within the upcoming 0-1 h and provide lightning activity potential and warning products. Multiple remote sensing data and numerical simulation of an electrification an...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2019/2405936 |
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| _version_ | 1832558811855978496 |
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| author | Qing Meng Wen Yao Liangtao Xu |
| author_facet | Qing Meng Wen Yao Liangtao Xu |
| author_sort | Qing Meng |
| collection | DOAJ |
| description | The Chinese Academy of Meteorological Sciences Lightning Nowcasting and Warning System (CAMS_LNWS) was designed to predict lightning within the upcoming 0-1 h and provide lightning activity potential and warning products. Multiple remote sensing data and numerical simulation of an electrification and discharge model were integrated in the system. Two core algorithms were implemented: (1) an area identification, tracking, and extrapolating algorithm and (2) a decision tree algorithm. The system was designed using a framework and modular structure, and integrated warning methods were applied in the warning program. Two new algorithms related to the early warning of the first lightning and thunderstorm dissipation were also introduced into the system during the upgrade process. Thunderstorms occurring in Beijing, Tianjin, and Hebei during 2016-2017 were used to evaluate the CAMS_LNWS by the low-frequency cloud to ground lightning detection data, and the results showed that the system has good forecasting and warning ability for local lightning activities. The TS score in 0-1 h ranged from 0.11 to 0.32, with a mean of 0.20. Operational experiments and promotional work for the CAMS_LNWS are now in progress. |
| format | Article |
| id | doaj-art-88f2954e7eeb483ba37c6bed31e15116 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-88f2954e7eeb483ba37c6bed31e151162025-02-03T01:31:28ZengWileyAdvances in Meteorology1687-93091687-93172019-01-01201910.1155/2019/24059362405936Development of Lightning Nowcasting and Warning Technique and Its ApplicationQing Meng0Wen Yao1Liangtao Xu2State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaThe Chinese Academy of Meteorological Sciences Lightning Nowcasting and Warning System (CAMS_LNWS) was designed to predict lightning within the upcoming 0-1 h and provide lightning activity potential and warning products. Multiple remote sensing data and numerical simulation of an electrification and discharge model were integrated in the system. Two core algorithms were implemented: (1) an area identification, tracking, and extrapolating algorithm and (2) a decision tree algorithm. The system was designed using a framework and modular structure, and integrated warning methods were applied in the warning program. Two new algorithms related to the early warning of the first lightning and thunderstorm dissipation were also introduced into the system during the upgrade process. Thunderstorms occurring in Beijing, Tianjin, and Hebei during 2016-2017 were used to evaluate the CAMS_LNWS by the low-frequency cloud to ground lightning detection data, and the results showed that the system has good forecasting and warning ability for local lightning activities. The TS score in 0-1 h ranged from 0.11 to 0.32, with a mean of 0.20. Operational experiments and promotional work for the CAMS_LNWS are now in progress.http://dx.doi.org/10.1155/2019/2405936 |
| spellingShingle | Qing Meng Wen Yao Liangtao Xu Development of Lightning Nowcasting and Warning Technique and Its Application Advances in Meteorology |
| title | Development of Lightning Nowcasting and Warning Technique and Its Application |
| title_full | Development of Lightning Nowcasting and Warning Technique and Its Application |
| title_fullStr | Development of Lightning Nowcasting and Warning Technique and Its Application |
| title_full_unstemmed | Development of Lightning Nowcasting and Warning Technique and Its Application |
| title_short | Development of Lightning Nowcasting and Warning Technique and Its Application |
| title_sort | development of lightning nowcasting and warning technique and its application |
| url | http://dx.doi.org/10.1155/2019/2405936 |
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