气候变化领域集成服务门户(CCPortal): Spaceborne Middle- and Far-Infrared Observations Improving Nighttime Ice Cloud Property Retrievals

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DOI	10.1029/2020GL087491
	Spaceborne Middle- and Far-Infrared Observations Improving Nighttime Ice Cloud Property Retrievals
	Saito M.; Yang P.; Huang X.; Brindley H.E.; Mlynczak M.G.; Kahn B.H.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:18
英文摘要	Two upcoming missions are scheduled to provide novel spaceborne observations of upwelling far-infrared spectra. In this study, the accuracy of ice cloud property retrievals using spaceborne middle-to-far-infrared (MIR-FIR) measurements is examined toward a better understanding of retrieval biases and uncertainties. Theoretical sensitivity studies demonstrate that the MIR-FIR spectra are sensitive to ice cloud properties, thereby providing a robust means for retrieving cloud properties under nighttime conditions. However, the temperature dependence of the ice refractive index and relevant ice particle shape models need to be incorporated into the retrieval procedure to avoid systematic biases in inferring cloud optical thickness and effective particle radius. Furthermore, prior information of subpixel cloud fractions is essential to mitigation of substantial systematic retrieval biases due to inconsistent subpixel cloud fractions. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Clouds; FIR filters; Pixels; Refractive index; Search engines; Temperature distribution; Uncertainty analysis; Cloud optical thickness; Far infrared spectrum; Ice cloud properties; Prior information; Retrieval procedures; Sensitivity studies; Spaceborne observations; Temperature dependence; Ice; accuracy assessment; cloud; observational method; particle size; refractive index; sampling bias; sensitivity analysis; uncertainty analysis; upwelling
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169731
作者单位	Department of Atmospheric Sciences, Texas A&M University, College Station, TX, United States; Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States; Space and Atmospheric Physics Group, National Centre for Earth Observation, Imperial College London, London, United Kingdom; NASA Langley Research Center, Hampton, VA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
推荐引用方式 GB/T 7714	Saito M.,Yang P.,Huang X.,et al. Spaceborne Middle- and Far-Infrared Observations Improving Nighttime Ice Cloud Property Retrievals[J],2020,47(18).
APA	Saito M.,Yang P.,Huang X.,Brindley H.E.,Mlynczak M.G.,&Kahn B.H..(2020).Spaceborne Middle- and Far-Infrared Observations Improving Nighttime Ice Cloud Property Retrievals.Geophysical Research Letters,47(18).
MLA	Saito M.,et al."Spaceborne Middle- and Far-Infrared Observations Improving Nighttime Ice Cloud Property Retrievals".Geophysical Research Letters 47.18(2020).