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Comparison of Aerosol Classification Results from Airborne High Spectral Resolution Lidar (HSRL) Measurements and the Calipso Vertical Feature MaskKnowledge of the vertical profile, composition, concentration, and size of aerosols is required for assessing the direct impact of aerosols on radiation, the indirect effects of aerosols on clouds and precipitation, and attributing these effects to natural and anthropogenic aerosols. Because anthropogenic aerosols are predominantly submicrometer, fine mode fraction (FMF) retrievals from satellite have been used as a tool for deriving anthropogenic aerosols. Although column and profile satellite retrievals of FMF have been performed over the ocean, such retrievals have not yet been been done over land. Consequently, uncertainty in satellite estimates of the anthropogenic component of the aerosol direct radiative forcing is greatest over land, due in large part to uncertainties in the FMF. Satellite measurements have been used to detect and evaluate aerosol impacts on clouds; however, such efforts have been hampered by the difficulty in retrieving vertically-resolved cloud condensation nuclei (CCN) concentration, which is the most direct parameter linking aerosol and clouds. Recent studies have shown correlations between average satellite derived column aerosol optical thickness (AOT) and in situ measured CCN. However, these same studies, as well as others that use detailed airborne in situ measurements have noted that vertical variability of the aerosol distribution, impacts of relative humidity, and the presence of coarse mode aerosols such as dust introduce large uncertainties in such relations.
Document ID
20120016655
Acquisition Source
Langley Research Center
Document Type
Other
Authors
Burton, S. P.
(NASA Langley Research Center Hampton, VA, United States)
Ferrare, R. A.
(NASA Langley Research Center Hampton, VA, United States)
Hostetler, C. A.
(NASA Langley Research Center Hampton, VA, United States)
Hair, J. W.
(NASA Langley Research Center Hampton, VA, United States)
Rogers, R. R.
(NASA Langley Research Center Hampton, VA, United States)
Obland, M. D.
(NASA Langley Research Center Hampton, VA, United States)
Butler, C. F.
(Science Systems and Applications, Inc. Hampton, VA, United States)
Cook, A. L.
(NASA Langley Research Center Hampton, VA, United States)
Harper, D. B.
(NASA Langley Research Center Hampton, VA, United States)
Froyd, K. D.
(National Oceanic and Atmospheric Administration Boulder, CO, United States)
Omar, A.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 26, 2013
Publication Date
January 1, 2012
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-13931
NF1676L-14430
Report Number: NF1676L-13931
Report Number: NF1676L-14430
Funding Number(s)
WBS: WBS 967701.02.01.01.31
CONTRACT_GRANT: DE-AI02-05ER63985
Distribution Limits
Public
Copyright
Public Use Permitted.
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