Arid
DOI10.1002/2013JD021099
Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data
Kim, Dongchul1,2; Chin, Mian2; Yu, Hongbin2,3; Diehl, Thomas1,2; Tan, Qian1,2; Kahn, Ralph A.2; Tsigaridis, Kostas4,5; Bauer, Susanne E.4,5; Takemura, Toshihiko6; Pozzoli, Luca7; Bellouin, Nicolas8; Schulz, Michael9; Peyridieu, Sophie10; Chedin, Alain10; Koffi, Brigitte11
通讯作者Kim, Dongchul
来源期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2014
卷号119期号:10页码:6259-6277
英文摘要

This study evaluates model-simulated dust aerosols over North Africa and the North Atlantic from five global models that participated in the Aerosol Comparison between Observations and Models phase II model experiments. The model results are compared with satellite aerosol optical depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), and Sea-viewing Wide Field-of-view Sensor, dust optical depth (DOD) derived from MODIS and MISR, AOD and coarse-mode AOD (as a proxy of DOD) from ground-based Aerosol Robotic Network Sun photometer measurements, and dust vertical distributions/centroid height from Cloud Aerosol Lidar with Orthogonal Polarization and Atmospheric Infrared Sounder satellite AOD retrievals. We examine the following quantities of AOD and DOD: (1) the magnitudes over land and over ocean in our study domain, (2) the longitudinal gradient from the dust source region over North Africa to the western North Atlantic, (3) seasonal variations at different locations, and (4) the dust vertical profile shape and the AOD centroid height (altitude above or below which half of the AOD is located). The different satellite data show consistent features in most of these aspects; however, the models display large diversity in all of them, with significant differences among the models and between models and observations. By examining dust emission, removal, and mass extinction efficiency in the five models, we also find remarkable differences among the models that all contribute to the discrepancies of model-simulated dust amount and distribution. This study highlights the challenges in simulating the dust physical and optical processes, even in the best known dust environment, and stresses the need for observable quantities to constrain the model processes.


类型Article
语种英语
国家USA ; Japan ; Turkey ; England ; Norway ; France ; Italy
收录类别SCI-E
WOS记录号WOS:000337766600034
WOS关键词MINERAL DUST ; OPTICAL DEPTH ; GOCART MODEL ; SAHARAN DUST ; DESERT DUST ; ATLANTIC ; CLIMATE ; AEROCOM ; AERONET ; MODIS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/183350
作者单位1.Univ Space Res Assoc, Columbia, MD 21046 USA;
2.NASA, Goddard Space Flight Ctr, Div Earth Sci, Greenbelt, MD 20771 USA;
3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA;
4.Columbia Univ, Ctr Climate Syst Res, New York, NY USA;
5.NASA, Goddard Inst Space Studies, New York, NY 10025 USA;
6.Kyushu Univ, Res Inst Appl Mech, Fukuoka 812, Japan;
7.Istanbul Tech Univ, Eurasia Inst Earth Sci, TR-80626 Istanbul, Turkey;
8.Met Off Hadley Ctr, Exeter, Devon, England;
9.Norwegian Meteorol Inst, Oslo, Norway;
10.Meteorol Dynam Lab, Palaiseau, France;
11.Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Air & Climate Unit, I-21020 Ispra, Italy
推荐引用方式
GB/T 7714
Kim, Dongchul,Chin, Mian,Yu, Hongbin,et al. Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data[J],2014,119(10):6259-6277.
APA Kim, Dongchul.,Chin, Mian.,Yu, Hongbin.,Diehl, Thomas.,Tan, Qian.,...&Koffi, Brigitte.(2014).Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,119(10),6259-6277.
MLA Kim, Dongchul,et al."Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 119.10(2014):6259-6277.
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