Estimating GATE rainfall with geosynchronous satellite images

A method of estimating GATE rainfall from either visible or infrared images of geosynchronous satellites is described. Rain is estimated from cumulonimbus cloud area by the equation R = a sub 0 A + a sub 1 dA/dt, where R is volumetric rainfall, A cloud area, t time, and a sub 0 and a sub 1 are const...

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Main Authors: Stout, J. E., Martin, D. W., Sikdar, D. N.
Format: Other/Unknown Material
Language:unknown
Published: 1979
Subjects:
47
Online Access:http://ntrs.nasa.gov/search.jsp?R=19790053995
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19790053995 2023-05-15T17:32:49+02:00 Estimating GATE rainfall with geosynchronous satellite images Stout, J. E. Martin, D. W. Sikdar, D. N. Unclassified, Unlimited, Publicly available May 1, 1979 http://ntrs.nasa.gov/search.jsp?R=19790053995 unknown http://ntrs.nasa.gov/search.jsp?R=19790053995 Accession ID: 79A38008 Copyright Other Sources 47 Monthly Weather Review; 107; May 1979 1979 ftnasantrs 2012-02-15T13:53:52Z A method of estimating GATE rainfall from either visible or infrared images of geosynchronous satellites is described. Rain is estimated from cumulonimbus cloud area by the equation R = a sub 0 A + a sub 1 dA/dt, where R is volumetric rainfall, A cloud area, t time, and a sub 0 and a sub 1 are constants. Rainfall, calculated from 5.3 cm ship radar, and cloud area are measured from clouds in the tropical North Atlantic. The constants a sub 0 and a sub 1 are fit to these measurements by the least-squares method. Hourly estimates by the infrared version of this technique correlate well (correlation coefficient of 0.84) with rain totals derived from composited radar for an area of 100,000 sq km. The accuracy of this method is described and compared to that of another technique using geosynchronous satellite images. It is concluded that this technique provides useful estimates of tropical oceanic rainfall on a convective scale. Other/Unknown Material North Atlantic NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 47
spellingShingle 47
Stout, J. E.
Martin, D. W.
Sikdar, D. N.
Estimating GATE rainfall with geosynchronous satellite images
topic_facet 47
description A method of estimating GATE rainfall from either visible or infrared images of geosynchronous satellites is described. Rain is estimated from cumulonimbus cloud area by the equation R = a sub 0 A + a sub 1 dA/dt, where R is volumetric rainfall, A cloud area, t time, and a sub 0 and a sub 1 are constants. Rainfall, calculated from 5.3 cm ship radar, and cloud area are measured from clouds in the tropical North Atlantic. The constants a sub 0 and a sub 1 are fit to these measurements by the least-squares method. Hourly estimates by the infrared version of this technique correlate well (correlation coefficient of 0.84) with rain totals derived from composited radar for an area of 100,000 sq km. The accuracy of this method is described and compared to that of another technique using geosynchronous satellite images. It is concluded that this technique provides useful estimates of tropical oceanic rainfall on a convective scale.
format Other/Unknown Material
author Stout, J. E.
Martin, D. W.
Sikdar, D. N.
author_facet Stout, J. E.
Martin, D. W.
Sikdar, D. N.
author_sort Stout, J. E.
title Estimating GATE rainfall with geosynchronous satellite images
title_short Estimating GATE rainfall with geosynchronous satellite images
title_full Estimating GATE rainfall with geosynchronous satellite images
title_fullStr Estimating GATE rainfall with geosynchronous satellite images
title_full_unstemmed Estimating GATE rainfall with geosynchronous satellite images
title_sort estimating gate rainfall with geosynchronous satellite images
publishDate 1979
url http://ntrs.nasa.gov/search.jsp?R=19790053995
op_coverage Unclassified, Unlimited, Publicly available
genre North Atlantic
genre_facet North Atlantic
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19790053995
Accession ID: 79A38008
op_rights Copyright
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