Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images
Thirty-year (1980–2009) tropical cyclone (TC) images from geostationary satellite (GOES, Meteosat, GMS, MTSAT and FY2) infrared sensors covering the Northwestern Pacific were used to build a TC size dataset based on objective models. The models are based on a correlation between the size of TCs, def...
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MDPI AG
2017-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/9/7/728 |
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| author | Xiaoqin Lu Hui Yu Xiaoming Yang Xiaofeng Li |
| author_facet | Xiaoqin Lu Hui Yu Xiaoming Yang Xiaofeng Li |
| author_sort | Xiaoqin Lu |
| collection | DOAJ |
| description | Thirty-year (1980–2009) tropical cyclone (TC) images from geostationary satellite (GOES, Meteosat, GMS, MTSAT and FY2) infrared sensors covering the Northwestern Pacific were used to build a TC size dataset based on objective models. The models are based on a correlation between the size of TCs, defined as the mean azimuth radius of 34 kt surface winds (R34) and the brightness temperature radial profiles derived from satellite imagery. Using satellite images between 2001 and 2009, we obtained 16,548 matchup samples and found the correlation to be positive in the TC’s inner core region (in the annulus field 64 km from the TC center) and negative in its outer region (in the annulus field 100–250 km from the TC center). Then, we performed a stepwise regression to select the dominant variables and derived the associated coefficients for the objective models. Independent validation against best track archives shows the median estimation error to be between 27 and 65 km, which are not significantly different to other satellite series data. Finally, we applied the models to 721 TCs and made 13,726 measurements of TC size. The difference of mean TC size derived from our models, and also that from the US Joint Typhoon Warning Center (JTWC) best track archives is 19 km. The developed database is valuable in the research fields of TC structure, climatology, and the initialization of forecasting models. |
| first_indexed | 2024-04-11T18:28:27Z |
| format | Article |
| id | doaj.art-2e065aec28334548b741c5e16f3a90ab |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T18:28:27Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-2e065aec28334548b741c5e16f3a90ab2022-12-22T04:09:33ZengMDPI AGRemote Sensing2072-42922017-07-019772810.3390/rs9070728rs9070728Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared ImagesXiaoqin Lu0Hui Yu1Xiaoming Yang2Xiaofeng Li3Shanghai Typhoon Institute, China Meteorological Administration, No. 166, Puxi Rd., Shanghai 200030, ChinaShanghai Typhoon Institute, China Meteorological Administration, No. 166, Puxi Rd., Shanghai 200030, ChinaShanghai Ocean University, No. 999, Huchenghuan Rd., Shanghai 201306, ChinaGST at National Oceanic and Atmospheric Administration (NOAA)/NESDIS, College Park, MD 20740-3818, USAThirty-year (1980–2009) tropical cyclone (TC) images from geostationary satellite (GOES, Meteosat, GMS, MTSAT and FY2) infrared sensors covering the Northwestern Pacific were used to build a TC size dataset based on objective models. The models are based on a correlation between the size of TCs, defined as the mean azimuth radius of 34 kt surface winds (R34) and the brightness temperature radial profiles derived from satellite imagery. Using satellite images between 2001 and 2009, we obtained 16,548 matchup samples and found the correlation to be positive in the TC’s inner core region (in the annulus field 64 km from the TC center) and negative in its outer region (in the annulus field 100–250 km from the TC center). Then, we performed a stepwise regression to select the dominant variables and derived the associated coefficients for the objective models. Independent validation against best track archives shows the median estimation error to be between 27 and 65 km, which are not significantly different to other satellite series data. Finally, we applied the models to 721 TCs and made 13,726 measurements of TC size. The difference of mean TC size derived from our models, and also that from the US Joint Typhoon Warning Center (JTWC) best track archives is 19 km. The developed database is valuable in the research fields of TC structure, climatology, and the initialization of forecasting models.https://www.mdpi.com/2072-4292/9/7/728geostationary satellitetropical cyclone sizeNorthwestern Pacific |
| spellingShingle | Xiaoqin Lu Hui Yu Xiaoming Yang Xiaofeng Li Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images Remote Sensing geostationary satellite tropical cyclone size Northwestern Pacific |
| title | Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images |
| title_full | Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images |
| title_fullStr | Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images |
| title_full_unstemmed | Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images |
| title_short | Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images |
| title_sort | estimating tropical cyclone size in the northwestern pacific from geostationary satellite infrared images |
| topic | geostationary satellite tropical cyclone size Northwestern Pacific |
| url | https://www.mdpi.com/2072-4292/9/7/728 |
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