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contributor authorKidder, Stanley Q.
contributor authorJones, Andrew S.
date accessioned2017-06-09T17:23:23Z
date available2017-06-09T17:23:23Z
date copyright2007/01/01
date issued2007
identifier issn0739-0572
identifier otherams-84344.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227670
description abstractTotal precipitable water (TPW), the amount of water vapor in a column from the surface of the earth to space, is used by forecasters to predict heavy precipitation. In this paper, a process for blending TPW values retrieved from two satellite sources is detailed: the Advanced Microwave Sounding Unit (AMSU) instruments on three NOAA satellites, and the Special Sensor Microwave Imager (SSM/I) instruments on three Defense Meteorological Satellite Program (DMSP) satellites. The process starts with a blending algorithm, which matches the cumulative probability distribution functions of TPW retrievals from the two instruments to lessen their differences. The data are then mapped to a map projection useful to forecasters and composited for 12 h to make a global map. These maps are produced hourly using Data Processing and Error Analysis System (DPEAS) software and made available to forecasters online.
publisherAmerican Meteorological Society
titleA Blended Satellite Total Precipitable Water Product for Operational Forecasting
typeJournal Paper
journal volume24
journal issue1
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH1960.1
journal fristpage74
journal lastpage81
treeJournal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 001
contenttypeFulltext


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