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Radiative Heating Rates Computed With Clouds Derived From Satellite‐Based Passive and Active Sensors and their Effects on Generation of Available Potential EnergyRadiative heating rates computed with cloud properties derived from passive and active sensors are investigated. Zonal monthly radiative heating rate anomalies computed using both active and passive sensors show that larger variability in longwave cooling exists near the tropical tropopause and near the top of the boundary layer between ~50°N to ~50°S. Aerosol variability contributes to increases in shortwave heating rate variability. When zonal monthly mean cloud effects on the radiative heating rate computed with both active and passive sensors and those computed with passive sensor only are compared, the latter shows cooling and heating peaks corresponding to cloud top and base height ranges used for separating cloud types. The difference of these two sets of cloud radiative effect on heating rates in the middle to upper troposphere is larger than the radiative heating rate uncertainty estimated based on the difference of two active sensor radiative heating rate profile data products. In addition, radiative heating rate contribution to generation of eddy available potential energy is also investigated. Although radiation contribution to generation of eddy available potential energy averaged over a year and the entire globe is small, radiation increases the eddy available potential energy in the northern hemisphere during summer. Two key elements that longwave radiation contribute to the generation of eddy potential energy are (1) longitudinal temperature gradient in the atmosphere associated with land and ocean surface temperatures contrasts and absorption of longwave radiation emitted by the surface and (2) cooling near the cloud top of stratocumulus clouds.
Document ID
20190031896
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Kato, Seiji ORCID
(NASA Langley Research Center Hampton, VA, United States)
Rose, Fred G.
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Ham, Seung Hee
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Rutan, David A.
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Radkevich, Alexander
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Caldwell, Thomas E.
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Sun-Mack, Sunny
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Miller, Walter F.
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Chen, Yan
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Date Acquired
October 1, 2019
Publication Date
December 22, 2019
Publication Information
Publication: Journal of Geophysical Research: Atmospheres
Publisher: American Geophysical Union
Volume: 124
Issue: 3
ISSN: 2169-897X
e-ISSN: 2169-8996
Subject Category
Meteorology And Climatology
Report/Patent Number
NF1676L-32348
Funding Number(s)
WBS: 652528.02.01
Distribution Limits
Public
Copyright
Other

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