DOI: 10.1002/2015JD023681
论文题名: Retrieving co-occurring cloud and precipitation properties of warm marine boundary layer clouds with A-Train data
作者: Mace G.G. ; Avey S. ; Cooper S. ; Lebsock M. ; Tanelli S. ; Dobrowalski G.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 8 起始页码: 4008
结束页码: 4033
语种: 英语
英文关键词: clouds
; precipitation
; radar
; remote sensing
Scopus关键词: aerosol
; boundary layer
; cloud cover
; cloud droplet
; CloudSat
; data acquisition
; marine environment
; MODIS
; precipitation (climatology)
; radar
; remote sensing
; satellite data
英文摘要: In marine boundary layer (MBL) clouds the formation of precipitation from the cloud droplet distribution in the presence of variable aerosol plays a fundamental role in determining the coupling of these clouds to their environment and ultimately to the climate system. Here the degree to which A-Train satellite measurements can diagnose simultaneously occurring cloud and precipitation properties in MBL clouds is examined. Beginning with the measurements provided by CloudSat and Moderate Resolution Imaging Spectroradiometer (including a newly available microwave brightness temperature from CloudSat), and a climatology of MBL cloud properties from past field campaigns, an assumption is made that any hydrometeor volume could contain both cloud droplet and precipitation droplet modes. Bayesian optimal estimation is then used to derive atmospheric states by inverting a measurement vector carefully accounting for uncertainties due to instrument noise, forward model error, and assumptions. It is found that in many cases where significant precipitation coexists with cloud, due to forward model error driven by uncertainties in assumptions, the uncertainty in retrieved cloud properties is greater than the variance in the prior climatology. It is often necessary to average several thousand (hundred) precipitating (weakly precipitating) profiles to obtain meaningful information regarding the properties important to microphysical processes. Regardless, if such process level information is deemed necessary for better constraining predictive models of the climate system, measurement systems specifically designed to accomplish such retrievals must be considered for the future. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62918
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Mace G.G.,Avey S.,Cooper S.,et al. Retrieving co-occurring cloud and precipitation properties of warm marine boundary layer clouds with A-Train data[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(8)