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Quantification of Trans-Atlantic Dust Transport from Seven-year (2007-2013) Record of CALIPSO Lidar MeasurementsThe trans-Atlantic dust transport has important implications for human and ecosystem health, the terrestrial and oceanic biogeochemical cycle,weather systems, and climate. This study provides an observation-based multiyear estimate of trans-Atlantic dust transport using a 7-year (2007-2013) record of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) measurements of the three dimensional distribution of aerosol backscatter, extinction and depolarization ratio in both cloud-free and above-cloud conditions. We estimate that on a basis of the 7-year average and integration over 10 deg S-30 deg N, 182 Tg a(exp -1) dust leaves the coast of North Africa at 15 deg W, of which 132 Tg a(exp -1) and 43 Tg a(exp -1) reaches 35 deg W and 75 deg W, respectively. These flux estimates have an overall known uncertainty of +/-(45-70)%. Because of lack of reliable observations, uncertainties associated with the diurnal variation of dust and the missing below-cloud dust cannot be quantified. Significant seasonal variations are observed in both the magnitude of total dust mass flux and its meridional and vertical distributions. The interannual variability of annual dust mass flux is highly anti-correlated with the prior-year Sahel Precipitation Index. Using only cloud-free aerosol observations to calculate dust mass flux could introduce a high bias when compared with all-sky conditions that include both cloud-free and above-cloud aerosol observations. The bias is about 20% at 35 deg W and 75 deg W in boreal winter and spring based on the 7-year average, as long as dust within and below low-level clouds is negligible.
Document ID
20150004137
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Hongbin Yu
(University of Maryland, College Park College Park, Maryland, United States)
Mian Chin
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Huisheng Bian
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Tianle Yuan
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Joseph M Prospero
(University of Miami Coral Gables, Florida, United States)
Ali H Omar
(Langley Research Center Hampton, Virginia, United States)
Lorraine A Remer
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
David M Winker
(Langley Research Center Hampton, Virginia, United States)
Yuekui Yang
(Universities Space Research Association Columbia, Maryland, United States)
Yan Zhang
(Universities Space Research Association Columbia, Maryland, United States)
Zhibo Zhang
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Date Acquired
April 2, 2015
Publication Date
January 8, 2015
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 159
Issue Publication Date: March 15, 2015
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN18206
ISSN: 0034-4257
Report Number: GSFC-E-DAA-TN18206
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
CONTRACT_GRANT: NNX12AD03A
CONTRACT_GRANT: NNX11AH66G
CONTRACT_GRANT: NNX14AB21G
CONTRACT_GRANT: NNX10AT36A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
trans-Atlantic dust transport
climate
CALIPSO
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