微波遥感资料在热带气旋丰满度提取中的应用
Application of Microwave Remote-Sensing Data for Tropical Cyclone Fullness Extraction
摘要
Abstract
Tropical cyclone fullness(TCF)is a dimensionless metric that integrates the inner-and outer-core scales of tropical cyclones to characterize storm wind structures,with particular significance for operational typhoon forecasting.Spaceborne microwave sensors offer a new technical approach to accurately extract TCFs by enabling direct observation of typhoon ocean surface winds regardless of weather conditions.Adopting super typhoon Mawar(2023)as an example,this study proposes a TCF extraction method based on the collection of spaceborne synthetic aperture radar,scatterometer,and radiometer data.Multisource spaceborne microwave sensor data estimated typhoon metrics are then comprehensively compared with best-track reports.Results show that multisource spaceborne microwave-sensor data have good applicability in TCF estimation.The root mean square error and correlation coefficient between the satellite-retrieved and best-track data are 0.08 and 0.78,respectively.Although the typhoon intensity is underestimated by the ocean wind products obtained from ASCAT-B and ASCAT-C spaceborne scatterometers,the estimates for the radius of maximum wind(rmax)and the radius of 17 m s−1 winds(r17)are accurate.The ASCAT-B measured rmax and r17 are 21.91 km and 39.22 km,respectively,with the corresponding ASCAT-C-measured values being 16.72 km and 48.82 km,respectively.This study demonstrates the independent suitability of multisource microwave sensors for TCF extraction,despite their differing frequency bands and spatial resolutions.关键词
台风/星载合成孔径雷达/丰满度/最大风速半径/台风结构Key words
Typhoon/Spaceborne synthetic aperture radar(SAR)/Fullness/Radius of maximum wind/Typhoon structure分类
天文与地球科学引用本文复制引用
张国胜,翁之梅,孙轶,方贺..微波遥感资料在热带气旋丰满度提取中的应用[J].大气科学,2026,50(1):37-50,14.基金项目
浙江省自然科学基金项目LZJMZ25D050008、LQ21D060001,国家自然科学基金项目42305153,华东区域气象科技协同创新基金项目QYHZ202307,台州市台风海洋气象重点实验室开放研究课题 2025TTHQZD01,海南省南海气象防灾减灾重点实验室开放基金项目SCSF202501,浙江省气象局科技项目2023YB06,中国气象局青年创新团队项目CMA2023QN12 Funded by Natural Science Foundation of Zhejiang Province(Grants LZJMZ25D050008,LQ21D060001),National Natural Science Foundation of China(Grant 42305153),East China Regional Meteorological Science and Technology Collaborative Innovation(Grant QYHZ202307),Open Research Project of Taizhou Key Laboratory of Typhoon and Marine Meteorology(Grant 2025TTHQZD01),Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province(Grant SCSF202501),Science and Technology Project of Zhejiang Meteorological Bureau(Grant 2023YB06),Youth Innovation Team Fund of China Meteorological Administration(Grant CMA2023QN12) （Grants LZJMZ25D050008,LQ21D060001）
