Show simple item record

contributor authorYu, Zifeng
contributor authorYu, Hui
contributor authorChen, Peiyan
contributor authorQian, Chuanhai
contributor authorYue, Caijun
date accessioned2017-06-09T16:27:47Z
date available2017-06-09T16:27:47Z
date copyright2009/11/01
date issued2009
identifier issn1558-8424
identifier otherams-68304.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209848
description abstractTo evaluate the abilities of satellite retrievals in reflecting precipitation features related to tropical cyclones (TCs) affecting mainland China, four years of 6- and 24-h precipitation retrievals from three datasets, namely the Tropical Rainfall Measuring Mission satellite algorithm 3B42, version 6 (3B42), Climate Prediction Center morphed (CMORPH) product, and one based on the Geostationary Meteorological Satellite-5 infrared brightness temperature (GMS5-TBB), are compared statistically with direct measurements from surface gauge rainfall data during the periods affected by TCs. The GMS5-TBB dataset was set up by a method of considering the GMS5-TBB characteristics, hourly precipitation intensity, and horizontal distribution for landfalling TCs. The results show that in a general sense, all three satellite-retrieved rainfall datasets give quite reasonable 6- and 24-h rainfall distributions, with skill decreasing with the increase in both latitude and rainfall amount. The 3B42 has a little bit better skill than CMORPH, which is likely related to the fact that the 3B42 product has a rain gauge adjustment and CMORPH does not. Further analyses show that both 3B42 and CMORPH considerably underestimate the moderate and heavy rainfall and overestimate the very light precipitation. The overestimation of the GMS5-TBB data for the light rain is larger than that for 3B42 and CMORPH, probably due to the fact that the GMS5-TBB method considers stratiform and convective rainfall separately with a fixed stratiform rain rate of 2 mm h?1. For the heavy rainfall events, the GMS5-TBB data perform much better than the 3B42 and CMORPH data with an almost halved bias, owing to the fact that the GMS5-TBB method adopted the adjustment of the convective rain rate by considering TBB characteristics of landfalling TCs and using hourly gauge rainfall in the setup process. Since the heavy rainfall events associated with landfalling TCs are of the most concern, the compared GMS5-TBB data could be useful as an operational/research reference.
publisherAmerican Meteorological Society
titleVerification of Tropical Cyclone–Related Satellite Precipitation Estimates in Mainland China
typeJournal Paper
journal volume48
journal issue11
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/2009JAMC2143.1
journal fristpage2227
journal lastpage2241
treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 011
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record