Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements

Abstract We demonstrate that the rate of development of cumulus clouds, as inferred from the so‐called geostationary satellite “rapid‐scan” measurements, is a good proxy for convective cloud top vertical velocity related to deep convective clouds. Convective cloud top vertical velocity is estimated...

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Main Authors: Atsushi Hamada, Yukari N. Takayabu
Format: Article
Language:English
Published: Wiley 2016-05-01
Series:Geophysical Research Letters
Subjects:
Online Access:https://doi.org/10.1002/2016GL068962
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author Atsushi Hamada
Yukari N. Takayabu
author_facet Atsushi Hamada
Yukari N. Takayabu
author_sort Atsushi Hamada
collection DOAJ
description Abstract We demonstrate that the rate of development of cumulus clouds, as inferred from the so‐called geostationary satellite “rapid‐scan” measurements, is a good proxy for convective cloud top vertical velocity related to deep convective clouds. Convective cloud top vertical velocity is estimated from the decreasing rate of infrared brightness temperature observed by the Multi‐functional Transport SATellite‐1R (MTSAT‐1R) over the ocean south of Japan during boreal summer. The frequency distribution of the estimated convective cloud top vertical velocity at each height is shown to distribute lognormally, and it is consistent with the statistical characteristics of direct measurements acquired in previous studies.
format Article
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issn 0094-8276
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language English
publishDate 2016-05-01
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series Geophysical Research Letters
spelling doaj-art-6494757ee4a14a88be8a3a52f007875a2025-08-20T01:51:46ZengWileyGeophysical Research Letters0094-82761944-80072016-05-0143105435544110.1002/2016GL068962Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurementsAtsushi Hamada0Yukari N. Takayabu1Atmosphere and Ocean Research Institute University of Tokyo Kashiwa JapanAtmosphere and Ocean Research Institute University of Tokyo Kashiwa JapanAbstract We demonstrate that the rate of development of cumulus clouds, as inferred from the so‐called geostationary satellite “rapid‐scan” measurements, is a good proxy for convective cloud top vertical velocity related to deep convective clouds. Convective cloud top vertical velocity is estimated from the decreasing rate of infrared brightness temperature observed by the Multi‐functional Transport SATellite‐1R (MTSAT‐1R) over the ocean south of Japan during boreal summer. The frequency distribution of the estimated convective cloud top vertical velocity at each height is shown to distribute lognormally, and it is consistent with the statistical characteristics of direct measurements acquired in previous studies.https://doi.org/10.1002/2016GL068962convectioncumulusvertical velocitygeostationary satelliterapid scan
spellingShingle Atsushi Hamada
Yukari N. Takayabu
Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
Geophysical Research Letters
convection
cumulus
vertical velocity
geostationary satellite
rapid scan
title Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
title_full Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
title_fullStr Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
title_full_unstemmed Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
title_short Convective cloud top vertical velocity estimated from geostationary satellite rapid‐scan measurements
title_sort convective cloud top vertical velocity estimated from geostationary satellite rapid scan measurements
topic convection
cumulus
vertical velocity
geostationary satellite
rapid scan
url https://doi.org/10.1002/2016GL068962
work_keys_str_mv AT atsushihamada convectivecloudtopverticalvelocityestimatedfromgeostationarysatelliterapidscanmeasurements
AT yukarintakayabu convectivecloudtopverticalvelocityestimatedfromgeostationarysatelliterapidscanmeasurements