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contributor authorEbert, Elizabeth E.
contributor authorManton, Michael J.
contributor authorArkin, Philip A.
contributor authorAllam, Richard J.
contributor authorHolpin, Cary E.
contributor authorGruber, Arnold
date accessioned2017-06-09T14:41:51Z
date available2017-06-09T14:41:51Z
date copyright1996/12/01
date issued1996
identifier issn0003-0007
identifier otherams-24699.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161399
description abstractThree algorithm intercomparison experiments have recently been conducted as part of the Global Precipitation Climatology Project with the goal of (a) assessing the skill of current satellite rainfall algorithms, (b) understanding the differences between them, and (c) moving toward improved algorithms. The results of these experiments are summarized and intercompared in this paper. It was found that the skill of satellite rainfall algorithms depends on the regime being analyzed, with algorithms producing very good results in the tropical western Pacific and over Japan and its surrounding waters during summer, but relatively poor rainfall estimates over western Europe during late winter. Monthly rainfall was estimated most accurately by algorithms using geostationary infrared data, but algorithms using polar data [Advanced Very High Resolution Radiometer and Special Sensor Microwave/Imager (SSM/1)l were also able to produce good monthly rainfall estimates when data from two satellites wore available. In most cases, SSM/I algorithms showed significantly greater skill than IR-based algorithms in estimating instantaneous rain rates.
publisherAmerican Meteorological Society
titleResults from the GPCP Algorithm Intercomparison Programme
typeJournal Paper
journal volume77
journal issue12
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/1520-0477(1996)077<2875:RFTGAI>2.0.CO;2
journal fristpage2875
journal lastpage2887
treeBulletin of the American Meteorological Society:;1996:;volume( 077 ):;issue: 012
contenttypeFulltext


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