Access count of this item: 76
|Other Titles:||RAINFALL ESTIMATION FROM GMS INFRARED AND VISIBLE IMAGERY DATA|
|Authors:||謝, 平平 |
|Author's alias:||XIE, Pingping|
|Journal title:||京都大学防災研究所年報. B = Disaster Prevention Research Institute Annuals. B|
|Abstract:||Rainfall estimation in midlatitude by the use of geostationary meteorological satellite (GMS)infrared and visible imagery data was studied. A preliminary study of the relationship betweenground observed cloudiness and rainfall reveals that the upper layer cloud like cirrus causes norain and that rainfall by convective cloud is roughly proportional to the cloud amount. The rela-tion between types of clouds and IR-VIS 2-dimensional frequency distributions shows that upperlayer cloud can be identified by the peak with an albedo less than 0.4, and that the groundobserved cloud amount is well proportional to the fractional coverage of the satellite data. Basedupon these results, a twe-step rain estimation method is developed; determination of rain/no-rainby peak position, followed by calculation of the rainfall with regression equation using the frac-tional coverage.|
|Appears in Collections:||No.31 B-1|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.