Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation
Vol. 13, Issue 3, Pages: 508-514(2009)
Published:2009,
DOI:
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[1].Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation[J].遥感学报,2009,13(03):508-514.
Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation. [J]. Journal of Remote Sensing 13(3):508-514(2009)
[1].Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation[J].遥感学报,2009,13(03):508-514.DOI:
Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation. [J]. Journal of Remote Sensing 13(3):508-514(2009)DOI:
Application of cloud motion vectors derived from geostationary satellite image series with TCFM tracking technique in typhoon simulation
Cloud tracking technique based on the combination of Fourier phase analysis and maximum correlation(TCFM) is employed to retrieve cloud motion vectors for sever tropic storm "Masta" from geostationary meteorological satellite FY-2C image series with a 30min interval on August 5
2007.The retrieved data are assimilated into the numerical model ARPS(the Advanced Regional Prediction System) by means of its data analysis system ADAS for the period before "Masta" landed onto ground.Though conventional wind observations are rare over sea areas
the experiment with satellite-derived winds from TCFM technique shows that the cloud motion wind data can improve the vertical wind features in the east of eye wall and make the helical rainband more realistic.
Abstract
Cloud tracking technique based on the combination of Fourier phase analysis and maximum correlation(TCFM) is employed to retrieve cloud motion vectors for sever tropic storm "Masta" from geostationary meteorological satellite FY-2C image series with a 30min interval on August 5
2007.The retrieved data are assimilated into the numerical model ARPS(the Advanced Regional Prediction System) by means of its data analysis system ADAS for the period before "Masta" landed onto ground.Though conventional wind observations are rare over sea areas
the experiment with satellite-derived winds from TCFM technique shows that the cloud motion wind data can improve the vertical wind features in the east of eye wall and make the helical rainband more realistic.