globalchange  > 气候减缓与适应
DOI: 10.1029/2017JD028074
Scopus记录号: 2-s2.0-85050829247
论文题名:
Assessing the Challenges of Surface-Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States
作者: Kaku K.C.; Reid J.S.; Hand J.L.; Edgerton E.S.; Holben B.N.; Zhang J.; Holz R.E.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:14
起始页码: 7530
结束页码: 7562
语种: 英语
英文关键词: aerosol chemistry ; aerosol optics ; AOD ; PM2.5 ; southeast United States
英文摘要: The Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign conducted in the southeast United States (SEUS) during the summer of 2013 provided a singular opportunity to study local aerosol chemistry and investigate aerosol radiative properties and PM2.5 relationships, focusing on the complexities involved in simplifying the relationship into a linear regression. We utilize three Southeastern Aerosol Research and Characterization network sites and one Environmental Protection Agency Chemical Speciation Network station that afforded simultaneous Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) and aerosol mass, chemistry, and light scattering monitoring. Prediction of AERONET AOD using linear regression of daily-mean PM2.5 during the SEAC4RS campaign yielded r2 of 0.36–0.53 and highly variable slopes across four sites. There were further reductions in PM2.5 predictive skill using Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging SpetroRadiometer (MISR) AOD data, which have shorter correlation lengths and times relative to surface PM2.5. Long-term trends in aerosol chemistry and optical properties in the SEUS are also investigated and compared to SEAC4RS period data, establishing that the SEUS experienced significant reduction in aerosol mass, corresponding with changes in both aerosol chemistry and optical properties. These changes have substantial impact on the PM2.5-AOD linear regression relationship and reinforce the need for long-term aerosol observation stations in addition to concentrated field campaigns. ©2018. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113493
Appears in Collections:气候减缓与适应

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作者单位: CSRA, Monterey, CA, United States; Naval Research Laboratory, Monterey, CA, United States; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States; Atmospheric Research and Analysis, Inc., Cary, NC, United States; NASA, Greenbelt, MD, United States; Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, United States; CIMSS, University of Wisconsin, Madison, WI, United States

Recommended Citation:
Kaku K.C.,Reid J.S.,Hand J.L.,et al. Assessing the Challenges of Surface-Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(14)
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