GPS/PWV在台风“玛莉亚”袭闽期间的变化特征研究
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摘要
可降水量(PWV)表征大气中的水汽含量,本文利用福建省卫星导航定位基准服务系统(FJCORS)的GPS观测资料反演得到可降水量(GPS/PWV),通过与实测的高精度探空PWV资料进行对比发现,其相关系数达到0.98,与探空结果具有较好的一致性;平均偏差在1.10 mm以内,表明GPS/PWV资料具有较高的精度。在此基础上分析2018年第8号台风"玛莉亚"登陆福建前后的GPS/PWV变化特征及其与实际降水量的关系,结果表明,GPS/PWV资料能够很好地反映台风期间水汽的时空动态传输过程,并与降水之间具有良好的对应关系。
Precipitable water vapor( PWV) is used to characterize the water vapor content in the atmosphere. This paper utilizes GPS observation data of Fujian continuously operating reference station( FJCORS) to obtain the precipitable water vapor( GPS/PWV).Comparing with the PWV obtained from high-precision sounding observation data,it shows that the correlation coefficient is 0. 98,which means GPS/PWV has good consistency with sounding results. Meanwhile,the average deviation is less than 1.10 mm,indicating that GPS/PWV data has high precision. On the basis of the above,the variation characteristics of GPS/PWV of the No. 8 typhoon Marlia before and after landing in Fujian in 2018 and the relationship with actual precipitation are analyzed. The results show that GPS/PWV data can well reflect the spatiotemporal dynamic transmission process of water vapor during typhoon and has a good correspondence with precipitation.
Precipitable water vapor( PWV) is used to characterize the water vapor content in the atmosphere. This paper utilizes GPS observation data of Fujian continuously operating reference station( FJCORS) to obtain the precipitable water vapor( GPS/PWV).Comparing with the PWV obtained from high-precision sounding observation data,it shows that the correlation coefficient is 0. 98,which means GPS/PWV has good consistency with sounding results. Meanwhile,the average deviation is less than 1.10 mm,indicating that GPS/PWV data has high precision. On the basis of the above,the variation characteristics of GPS/PWV of the No. 8 typhoon Marlia before and after landing in Fujian in 2018 and the relationship with actual precipitation are analyzed. The results show that GPS/PWV data can well reflect the spatiotemporal dynamic transmission process of water vapor during typhoon and has a good correspondence with precipitation.
引文
[1]BEVIS M,BUSINGER S,HERRING T A,et al.GPS meteorology:remote sensing of atmospheric water vapor using the Global Positioning System[J].Journal of Geophysical Research:Atmospheres,1992,97(D14):15787-15801.
[2]王小亚,朱文耀,严豪健,等.地面GPS探测大气可降水量的初步结果[J].大气科学,1999,23(5):605-612.
[3]WARE R H,FULKER D W,STEIN S A,et al.Realtime national GPS networks:opportunities for atmospheric sensing[J].Earth,planets and space,2000,52(11):901-905.
[4]李森,贾光军.GNSS技术下北京7·21暴雨水汽含量反演分析[J].测绘通报,2018(6):78-81.
[5]徐晓华,刘宏康,罗佳.香港地区2013-2016年地基GPS大气可降水量与实际降雨量的比较[J].国防科技大学学报,2017,39(5):14-20.
[6]李黎,江婷,田莹,等.利用湖南CORS网监测分析湘北一次局地暴雨水汽场时空变化[J].大地测量与地球动力学,2017,37(8):835-840.
[7]张双成,赵立都,吕旭阳,等.GPS水汽在雾霾天气监测中的应用研究[J].武汉大学学报(信息科学版),2018,43(3):451-456.
[8]王勇,刘严萍,李江波,等.河北省GPS水汽与PM_(2.5)质量浓度的比较研究[J].大地测量与地球动力学,2016,36(1):40-42.
[9]张双成,李振宇,戴凯阳,等.北京地区GPS水汽变化与雾霾的相关性[J].测绘科学,2016,41(8):43-47.
[10]姚宜斌,张顺,孔建.GNSS空间环境学研究进展和展望[J].测绘学报,2017(10):1 408-1 420.
[11]LIU Y A,HUANG C Y,KAR S K,et al.Geophysical phenomena associated with GPS observed PW during the passage of a typhoon[J].Iete Technical Review,2004,21(1):67-74.
[12]SONG D S,YUN H S,LI D H.Verification of accuracy of precipitable water vapour from GPS during typhoon Rusa[J].Empire Survey Review,2013,40(307):19-28.
[13]李星光,郑南山,狄利娟.GPS/PWV资料在两次台风袭港期间的特征分析[J].大地测量与地球动力学,2015,35(2):298-302.
[14]王洪栋.基于FJCORS资料探测大气可降水量的研究[J].地理信息世界,2018,25(4):114-118.
[15]HERRING T A,KING R W,FLOYD M A,et al.GAMIT reference manual[M].Boston:[s.n.],2018.
[16]SAASTAMOINEN J.Atmospheric correction for the troposphere and stratosphere in radio ranging satellites[J].The Use of Artificial Satellites for Geodesy,1972,15:247-251.
[2]王小亚,朱文耀,严豪健,等.地面GPS探测大气可降水量的初步结果[J].大气科学,1999,23(5):605-612.
[3]WARE R H,FULKER D W,STEIN S A,et al.Realtime national GPS networks:opportunities for atmospheric sensing[J].Earth,planets and space,2000,52(11):901-905.
[4]李森,贾光军.GNSS技术下北京7·21暴雨水汽含量反演分析[J].测绘通报,2018(6):78-81.
[5]徐晓华,刘宏康,罗佳.香港地区2013-2016年地基GPS大气可降水量与实际降雨量的比较[J].国防科技大学学报,2017,39(5):14-20.
[6]李黎,江婷,田莹,等.利用湖南CORS网监测分析湘北一次局地暴雨水汽场时空变化[J].大地测量与地球动力学,2017,37(8):835-840.
[7]张双成,赵立都,吕旭阳,等.GPS水汽在雾霾天气监测中的应用研究[J].武汉大学学报(信息科学版),2018,43(3):451-456.
[8]王勇,刘严萍,李江波,等.河北省GPS水汽与PM_(2.5)质量浓度的比较研究[J].大地测量与地球动力学,2016,36(1):40-42.
[9]张双成,李振宇,戴凯阳,等.北京地区GPS水汽变化与雾霾的相关性[J].测绘科学,2016,41(8):43-47.
[10]姚宜斌,张顺,孔建.GNSS空间环境学研究进展和展望[J].测绘学报,2017(10):1 408-1 420.
[11]LIU Y A,HUANG C Y,KAR S K,et al.Geophysical phenomena associated with GPS observed PW during the passage of a typhoon[J].Iete Technical Review,2004,21(1):67-74.
[12]SONG D S,YUN H S,LI D H.Verification of accuracy of precipitable water vapour from GPS during typhoon Rusa[J].Empire Survey Review,2013,40(307):19-28.
[13]李星光,郑南山,狄利娟.GPS/PWV资料在两次台风袭港期间的特征分析[J].大地测量与地球动力学,2015,35(2):298-302.
[14]王洪栋.基于FJCORS资料探测大气可降水量的研究[J].地理信息世界,2018,25(4):114-118.
[15]HERRING T A,KING R W,FLOYD M A,et al.GAMIT reference manual[M].Boston:[s.n.],2018.
[16]SAASTAMOINEN J.Atmospheric correction for the troposphere and stratosphere in radio ranging satellites[J].The Use of Artificial Satellites for Geodesy,1972,15:247-251.