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Estimates of African dust deposition along the trans-Atlantic transit using the decadelong record of aerosol measurements from CALIOP, MODIS, MISR, and IASI

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doi: 10.1029/2019JD030574
Authors:Yu, Hongbin; Tan, Qian; Chin, Mian; Remer, Lorraine A.; Kahn, Ralph A.; Bian, Huisheng; Kim, Dongchul; Zhang, Zhibo; Yuan, Tianle; Omar, Ali H.; Winker, David M.; Levy, Robert C.; Kalashnikova, Olga; Crepeau, Laurent; Capelle, Virginie; Chédin, Alain
Author Affiliations:Primary:
NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
Bay Area Environmental Research Institute, United States
University of Maryland-Baltimore County, United States
NASA Langley Research Center, United States
Jet Propulsion Laboratory, United States
Laboratoire de Météorologie Dynamique, France
Volume Title:Journal of Geophysical Research: Atmospheres
Source:Journal of Geophysical Research: Atmospheres, 124(14), p.7975-7996. Publisher: Blackwell Wiley for American Geophysical Union, Washington, DC, United States. ISSN: 2169-897X
Publication Date:2019
Note:In English. 86 refs.; illus., incl. 1 table, sketch map
Summary:Deposition of mineral dust into ocean fertilizes ecosystems and influences biogeochemical cycles and climate. In situ observations of dust deposition are scarce, and model simulations depend on the highly parameterized representations of dust processes with few constraints. By taking advantage of satellites' routine sampling on global and decadal scales, we estimate African dust deposition flux and loss frequency (a ratio of deposition flux to mass loading) along the trans-Atlantic transit using the three-dimensional distributions of aerosol retrieved by spaceborne lidar (Cloud-Aerosol Lidar with Orthogonal Polarization [CALIOP]) and radiometers (Moderate Resolution Imaging Spectroradiometer [MODIS], Multiangle Imaging Spectroradiometer [MISR], and Infrared Atmospheric Sounding Interferometer [IASI]). On the basis of a 10-year (2007-2016) and basin-scale average, the amount of dust deposition into the tropical Atlantic Ocean is estimated at 136-222 Tg/year. The 65-83% of satellite-based estimates agree with the in situ climatology within a factor of 2. The magnitudes of dust deposition are highest in boreal summer and lowest in fall, whereas the interannual variability as measured by the normalized standard deviation with mean is largest in spring (28-41%) and smallest (7-15%) in summer. The dust deposition displays high spatial heterogeneity, revealing that the meridional shifts of major dust deposition belts are modulated by the seasonal migration of the intertropical convergence zone. On the basis of the annual and basin mean, the dust loss frequency derived from the satellite observations ranges from 0.078 to 0.100 day-1, which is lower than model simulations by up to factors of 2 to 5. The most efficient loss of dust occurs in winter, consistent with the higher possibility of low-altitude transported dust in southern trajectories being intercepted by rainfall associated with the intertropical convergence zone. The satellite-based estimates of dust deposition can be used to fill the geographical gaps and extend time span of in situ measurements, study the dust-ocean interactions, and evaluate model simulations of dust processes. Abstract Copyright (2019), . American Geophysical Union. All Rights Reserved.
Subjects:Aerosols; Atmospheric transport; Clastic sediments; Deposition; Dust; Earth Observing System; Geophysical methods; In situ; Infrared methods; Laser methods; Lidar methods; MODIS; Optical extinction; Remote sensing; Satellite methods; Seasonal variations; Sediments; Transport; Uncertainty; Africa; Atlantic Ocean; East Atlantic; Equatorial Atlantic; North Africa; CALIOP; CALIPSO; Cloud-Aerosol Lidar and Infrared Pathfinder Onservation; Cloud-Aerosols Lidat with Orthogonal Polarization; IASI; Infrared Atmospheric Sounding Interferometer; MetOp; MISR; Multiangle Imaging Spectroradiometer
Coordinates:S050000 N350000 W0000000 W0800000
Record ID:860252-31
Copyright Information:GeoRef, Copyright 2020 American Geosciences Institute. Reference includes data from John Wiley & Sons, Chichester, United Kingdom
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