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Remote Sensing of Liquid Water and Ice Cloud Optical Thickness and Effective Radius in the Arctic: Application of Airborne Multispectral MAS DataA multispectral scanning spectrometer was used to obtain measurements of the reflection function and brightness temperature of clouds, sea ice, snow, and tundra surfaces at 50 discrete wavelengths between 0.47 and 14.0 microns. These observations were obtained from the NASA ER-2 aircraft as part of the FIRE Arctic Clouds Experiment, conducted over a 1600 x 500 km region of the north slope of Alaska and surrounding Beaufort and Chukchi Seas between 18 May and 6 June 1998. Multispectral images of the reflection function and brightness temperature in 11 distinct bands of the MODIS Airborne Simulator (MAS) were used to derive a confidence in clear sky (or alternatively the probability of cloud), shadow, and heavy aerosol over five different ecosystems. Based on the results of individual tests run as part of the cloud mask, an algorithm was developed to estimate the phase of the clouds (water, ice, or undetermined phase). Finally, the cloud optical thickness and effective radius were derived for both water and ice clouds that were detected during one flight line on 4 June. This analysis shows that the cloud mask developed for operational use on MODIS, and tested using MAS data in Alaska, is quite capable of distinguishing clouds from bright sea ice surfaces during daytime conditions in the high Arctic. Results of individual tests, however, make it difficult to distinguish ice clouds over snow and sea ice surfaces, so additional tests were added to enhance the confidence in the thermodynamic phase of clouds over the Beaufort Sea. The cloud optical thickness and effective radius retrievals used 3 distinct bands of the MAS, with the newly developed 1.62 and 2.13 micron bands being used quite successfully over snow and sea ice surfaces. These results are contrasted with a MODIS-based algorithm that relies on spectral reflectance at 0.87 and 2.13 micron.
Document ID
20030105707
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
King, Michael D.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Platnick, Steven
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Yang, Ping
(Texas A&M Univ. College Station, TX, United States)
Arnold, G. Thomas
(Engineering and Economics Research, Inc. Landover, MD, United States)
Gray, Mark A.
(Engineering and Economics Research, Inc. Landover, MD, United States)
Riedi, Jerome C.
(Universite des Sciences et Techniques de Lille Flandres Artois Villeneuve D'Ascq, France)
Ackerman, Steven A.
(Wisconsin Univ. Madison, WI, United States)
Liou, Kuo-Nan
(California Univ. Los Angeles, CA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2003
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NAG5-31367
CONTRACT_GRANT: NAG5-6160
Distribution Limits
Public
Copyright
Public Use Permitted.
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