Correlation between satellite total column ozone observations and potential vorticity in hurricane and the application of hurricane center positioning
Applications of Total Column Ozone(TCO)observations from the Ozone Mapping and Profiler Suite(OMPS)onboard the polar-orbiting meteorological satellite Suomi National Polar-orbiting Partnership(S-NPP)to Hurricane"Maria"(2017)were studied.To address the issue of low correlation between TCO and Mean column-integrated Potential Vorticity(MPV)in convective regions,this paper constructs two regime-dependent linear regression models.The division of TCO data into two regimes not only improves the correlation between TCO and MPV at both large-and convective scales,but increases the utilization rate(95.5％)of the S-NPP OMPS TCO data in convective regions.TCO observations can clearly reflect the top structure of hurricane,and accordingly locate the center of the hurricane near the top of the tropopause.The distance difference between the satellite ozone center and the best track for Hurricane Maria is 58.1 km,which is slightly larger than the distance(47.5 km)between the best track and the center positioning based on the brightness temperature observations from the Advanced Technology Microwave Sounder(ATMS)onboard S-NPP,the Microwave Humidity Sounder(MHS)onboard MetOp-A,and the Microwave Humidity Sounder(MWHS)onboard FY-3B.The ozone positioning results have a dependence on the Vertical Wind Shear(VWS).The stronger the VWS,the greater the deviation of the ozone data positioning center from the best track.The regime-dependent linear regression models constructed in this study can be used as an observational operator for indirectly assimilating satellite TCO observations and for vortex initialization to improve hurricane track and intensity forecasting.
satellite ozone dataTCOthe regime-dependent linear regression modelscenter positioning
万方数据
维普
