globalchange  > 影响、适应和脆弱性
DOI: 10.1002/jgrd.50404
论文题名:
Assessment of uncertainty in cloud radiative effects and heating rates through retrieval algorithm differences: Analysis using 3 years of ARM data at Darwin, Australia
作者: Comstock J.M.; Protat A.; McFarlane S.A.; Delanoë J.; Deng M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期:10
起始页码: 4549
结束页码: 4571
语种: 英语
英文关键词: Cloud radiative effect ; Cloud radiative process ; Ice cloud retrieval algorithms
Scopus关键词: Algorithms ; Clouds ; Heat radiation ; Heating rate ; Ice ; Optical radar ; Probability density function ; Radiant heating ; Atmospheric radiation measurement programs ; Cloud microphysical properties ; Cloud radiative effects ; Extinction coefficients ; Ice cloud retrieval ; Radiative process ; Tropical Western Pacific ; Vertical air velocity ; Uncertainty analysis ; algorithm ; cirrus ; cloud ; cloud radiative forcing ; data acquisition ; ground-based measurement ; heating ; ice crystal ; lidar ; probability ; water content ; Australia ; Darwin ; Northern Territory
英文摘要: Ground-based radar and lidar observations obtained at the Department of Energy's Atmospheric Radiation Measurement Program's Tropical Western Pacific site located in Darwin, Australia, are used to retrieve ice cloud properties in anvil and cirrus clouds. Cloud microphysical properties derived from four different retrieval algorithms (two radar-lidar and two radar-only algorithms) are compared by examining mean profiles and probability density functions of effective radius (Re), ice water content (IWC), visible extinction coefficient, ice number concentration, ice crystal fall speed, and vertical air velocity. Retrieval algorithm uncertainty is quantified using radiative flux closure exercises. The effect of uncertainty in retrieved quantities on the cloud radiative effect and radiative heating rates is presented. Our analysis shows that IWC compares well among algorithms, but Re shows significant discrepancies, which are attributed primarily to assumptions of particle shape. Uncertainty in Re and IWC translates into sometimes large differences in cloud shortwave radiative effect (CRE) though the majority of cases have a CRE difference of roughly 10 W m-2 on average. These differences, which we believe are primarily driven by the uncertainty in R e, can cause up to 2 K/d difference in the radiative heating rates between algorithms. Key Points Cloud radiative effect uncertainty is driven by differences ice size and shapeRetrieval algorithm uncertainty leads to 2 K/day difference in radiative heating ©2013. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63729
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: Pacific Northwest National Laboratory, Richland, WA 99352, United States; Centre for Australian Weather and Climate Research, Melbourne VIC, Australia; Pacific Northwest National Laboratory, Richland WA, United States; Laboratoire Atmosphères Milieux et Observations Spatiales (LATMOS), Institute Pierre Simon Laplace, Université de Versailles St Quentin, Guyancourt, France; Department of Atmospheric Science, University of Wyoming, Laramie WY, United States

Recommended Citation:
Comstock J.M.,Protat A.,McFarlane S.A.,et al. Assessment of uncertainty in cloud radiative effects and heating rates through retrieval algorithm differences: Analysis using 3 years of ARM data at Darwin, Australia[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)
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