Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager
Recognizing the importance and challenges inherent in the remote sensing of precipitation in typhoon monitoring, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. First, Typhoon Maria was selected to statistically analyze the...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2020/4245037 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550469027758080 |
|---|---|
| author | Gen Wang Kefu Wang Wei Han Dongyong Wang Xuexing Qiu |
| author_facet | Gen Wang Kefu Wang Wei Han Dongyong Wang Xuexing Qiu |
| author_sort | Gen Wang |
| collection | DOAJ |
| description | Recognizing the importance and challenges inherent in the remote sensing of precipitation in typhoon monitoring, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. First, Typhoon Maria was selected to statistically analyze the AGRI infrared brightness temperature in the “precipitation” and “nonprecipitation” channels of the field of view. When there was precipitation, the brightness temperature of the AGRI channel changed significantly. Second, the shrunken locally linear embedding algorithm (SLLE) was adopted to carry out the retrieval of precipitation based on the brightness temperatures of AGRI infrared channels 8–14. The contribution rate of the brightness temperature at different channels to the objective function of precipitation retrieval model was obtained by the Bayesian model averaging (BMA). Based on the preliminary experimental “quantification” evaluation index, we concluded that the method adopted in this paper can be used to retrieve precipitation in infrared data and to retrieve the spiral cloud rain bands of a typhoon. Finally, based on the AGRI channel brightness temperature of a 10.8-micron window channel, we applied the membership degree information of a typhoon’s dominant cloud system from the fuzzy c-means (FCM) clustering method to modify precipitation retrieval results. The results were used to obtain the main morphological structure of typhoon precipitation. By further analyzing the temporal variation of dominant cloud system development using the FCM method, we concluded that the brightness temperature gradient can assist in the analysis of the variation of a typhoon’s intensity. This method can be applied to the continuous retrieval of large-scale precipitation. Precipitation retrieval via the AGRI can yield indicators for typhoon precipitation warnings and forecasts, thus providing a reliable reference tool for disaster prevention and mitigation. |
| format | Article |
| id | doaj-art-16908eac944249628f505d310b6d4d9b |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-16908eac944249628f505d310b6d4d9b2025-02-03T06:06:38ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/42450374245037Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation ImagerGen Wang0Kefu Wang1Wei Han2Dongyong Wang3Xuexing Qiu4Anhui Meteorological Observatory, Key Lab of Strong Weather Analysis and Forecast, Hefei, Anhui 230031, ChinaAnhui Meteorological Bureau, Hefei, Anhui 230031, ChinaNational Meteorological Center of China, Numerical Weather Prediction Center of China Meteorological Administration, Beijing 100081, ChinaAnhui Meteorological Observatory, Key Lab of Strong Weather Analysis and Forecast, Hefei, Anhui 230031, ChinaAnhui Meteorological Observatory, Key Lab of Strong Weather Analysis and Forecast, Hefei, Anhui 230031, ChinaRecognizing the importance and challenges inherent in the remote sensing of precipitation in typhoon monitoring, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. First, Typhoon Maria was selected to statistically analyze the AGRI infrared brightness temperature in the “precipitation” and “nonprecipitation” channels of the field of view. When there was precipitation, the brightness temperature of the AGRI channel changed significantly. Second, the shrunken locally linear embedding algorithm (SLLE) was adopted to carry out the retrieval of precipitation based on the brightness temperatures of AGRI infrared channels 8–14. The contribution rate of the brightness temperature at different channels to the objective function of precipitation retrieval model was obtained by the Bayesian model averaging (BMA). Based on the preliminary experimental “quantification” evaluation index, we concluded that the method adopted in this paper can be used to retrieve precipitation in infrared data and to retrieve the spiral cloud rain bands of a typhoon. Finally, based on the AGRI channel brightness temperature of a 10.8-micron window channel, we applied the membership degree information of a typhoon’s dominant cloud system from the fuzzy c-means (FCM) clustering method to modify precipitation retrieval results. The results were used to obtain the main morphological structure of typhoon precipitation. By further analyzing the temporal variation of dominant cloud system development using the FCM method, we concluded that the brightness temperature gradient can assist in the analysis of the variation of a typhoon’s intensity. This method can be applied to the continuous retrieval of large-scale precipitation. Precipitation retrieval via the AGRI can yield indicators for typhoon precipitation warnings and forecasts, thus providing a reliable reference tool for disaster prevention and mitigation.http://dx.doi.org/10.1155/2020/4245037 |
| spellingShingle | Gen Wang Kefu Wang Wei Han Dongyong Wang Xuexing Qiu Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager Advances in Meteorology |
| title | Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager |
| title_full | Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager |
| title_fullStr | Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager |
| title_full_unstemmed | Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager |
| title_short | Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager |
| title_sort | typhoon maria precipitation retrieval and evolution based on the infrared brightness temperature of the feng yun 4a advanced geosynchronous radiation imager |
| url | http://dx.doi.org/10.1155/2020/4245037 |
| work_keys_str_mv | AT genwang typhoonmariaprecipitationretrievalandevolutionbasedontheinfraredbrightnesstemperatureofthefengyun4aadvancedgeosynchronousradiationimager AT kefuwang typhoonmariaprecipitationretrievalandevolutionbasedontheinfraredbrightnesstemperatureofthefengyun4aadvancedgeosynchronousradiationimager AT weihan typhoonmariaprecipitationretrievalandevolutionbasedontheinfraredbrightnesstemperatureofthefengyun4aadvancedgeosynchronousradiationimager AT dongyongwang typhoonmariaprecipitationretrievalandevolutionbasedontheinfraredbrightnesstemperatureofthefengyun4aadvancedgeosynchronousradiationimager AT xuexingqiu typhoonmariaprecipitationretrievalandevolutionbasedontheinfraredbrightnesstemperatureofthefengyun4aadvancedgeosynchronousradiationimager |