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DOI | 10.1002/2017JD027916 |
Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations | |
Werner, F.1; Zhang, Z.2; Wind, G.3; Miller, D. J.2; Platnick, S.3 | |
2018-04-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:8页码:4239-4258 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Recently, Zhang et al. (2016, ) presented a mathematical framework based on a second-order Taylor series expansion in order to quantify the plane-parallel homogeneous bias (PPHB) in cloud optical thickness () and effective droplet radius (r(eff)) retrieved from the bispectral solar reflective method. This study provides observational validation of the aforementioned framework, using high-resolution reflectance observations from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) over 48 marine boundary layer cloud scenes. ASTER reflectances at a horizontal resolution of 30m are aggregated up to a scale of 1,920m, providing retrievals of and r(eff) at different spatial resolutions. A comparison between the PPHB derived from these retrievals and the predicted PPHB from the mathematical framework reveals a good agreement with correlation coefficients of r > 0.97 (for ) and r > 0.79 (for r(eff)). To test the feasibility of PPHB predictions for present and future satellite missions, a scale analysis with varying horizontal resolutions of the subpixel and pixel-level observations is performed, followed by tests of corrections with only limited observational high-resolution data. It is shown that for reasonably thick clouds with a mean subpixel larger than 5, correlations between observed and predicted PPHB remain high, even if the number of available subpixels decreases or just a single band provides the information about subpixel reflectance variability. Only for thin clouds the predicted r(eff) become less reliable, which can be attributed primarily to an increased retrieval uncertainty for r(eff). |
英文关键词 | clouds remote sensing plane-parallel bias satellite retrieval ASTER |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000433071200024 |
WOS关键词 | SOLAR-RADIATION MEASUREMENTS ; SPACEBORNE THERMAL EMISSION ; EFFECTIVE PARTICLE RADIUS ; PROPERTY RETRIEVALS ; INDEPENDENT PIXEL ; BISPECTRAL METHOD ; RADIOMETER ASTER ; WATER CLOUDS ; MODIS ; STRATOCUMULUS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32230 |
专题 | 气候变化 |
作者单位 | 1.Joint Ctr Earth Syst Technol, Baltimore, MD 21228 USA; 2.Univ Maryland, Phys Dept, Baltimore, MD 21201 USA; 3.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Werner, F.,Zhang, Z.,Wind, G.,et al. Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(8):4239-4258. |
APA | Werner, F.,Zhang, Z.,Wind, G.,Miller, D. J.,&Platnick, S..(2018).Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(8),4239-4258. |
MLA | Werner, F.,et al."Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.8(2018):4239-4258. |
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