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Remote Sens. 2015, 7(6), 7257-7271; doi:10.3390/rs70607257

Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data

1
Center for Satellite Applications and Research, NOAA Satellite and Information Service (NESDIS), 1225 West Dayton St., Madison, WI 53706, USA
2
Space Science and Engineering Center (SSEC), University of Wisconsin, 1225 West Dayton St., Madison, WI 53706, USA
3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
4
Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Müller and Prasad S. Thenkabail
Received: 30 December 2014 / Accepted: 15 May 2015 / Published: 3 June 2015
View Full-Text   |   Download PDF [21425 KB, uploaded 3 June 2015]   |  

Abstract

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. View Full-Text
Keywords: cirrus clouds; infrared remote sensing; optical depth; particle size; MODIS; CALIPSO cirrus clouds; infrared remote sensing; optical depth; particle size; MODIS; CALIPSO
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Heidinger, A.K.; Li, Y.; Baum, B.A.; Holz, R.E.; Platnick, S.; Yang, P. Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data. Remote Sens. 2015, 7, 7257-7271.

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