期刊论文详细信息
Remote Sensing
Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data
Andrew K. Heidinger3  Yue Li4  Bryan A. Baum4  Robert E. Holz4  Steven Platnick2  Ping Yang1  Richard Müller5 
[1] Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA; E-Mail:;NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA; E-Mail:;Center for Satellite Applications and Research, NOAA Satellite and Information Service (NESDIS), 1225 West Dayton St., Madison, WI 53706, USA;Space Science and Engineering Center (SSEC), University of Wisconsin, 1225 West Dayton St., Madison, WI 53706, USA; E-Mails:;id="af1-remotesensing-07-07257">Center for Satellite Applications and Research, NOAA Satellite and Information Service (NESDIS), 1225 West Dayton St., Madison, WI 53706, U
关键词: cirrus clouds;    infrared remote sensing;    optical depth;    particle size;    MODIS;    CALIPSO;   
DOI  :  10.3390/rs70607257
来源: mdpi
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【 摘 要 】

This paper presents a technique to generate cirrus optical depth and particle effective size estimates from the cloud emissivities at 8.5, 11 and 12 μm contained in the Collection-6 (C6) MYD06 cloud product. This technique employs the latest scattering models and scattering radiative transfer approximations to estimate cloud optical depth and particle effective size using efficient analytical formulae. Two scattering models are tested. The first is the same scattering model as that used in the C6 MYD06 solar reflectance products. The second model is an empirical model derived from radiometric consistency. Both models are shown to generate optical depths that compare well to those from constrained CALIPSO retrievals and MYD06. In terms of effective radius retrievals, the results from the radiometric empirical model agree more closely with MYD06 than those from the C6 model. This analysis is applied to AQUA/MODIS data collocated with CALIPSO/CALIOP during January 2010.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.

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