微波遥感资料在热带气旋丰满度提取中的应用OA

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.