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Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement

Journal Article · · Remote Sensing
DOI:https://doi.org/10.3390/rs14215581· OSTI ID:1897303

This study investigates the seasonal variation of dust aerosol vertical distribution using polarized Micropulse lidar (MPL) measurements at the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) observatory from January 2013 to September 2017. For the first time, multi-year aerosol backscatter coefficients are retrieved at the ARM NSA site from MPL measurements and are consistent with co-located high spectral resolution lidar (HSRL) measurements. The high-quality aerosol backscatter coefficient retrievals are used to derive the particle depolarization ratio (PDR) at the wavelength of 532 nm, which is used to identify the presence of dust aerosols. The annual cycles of the vertical distributions of dust backscatter coefficient and PDR and dust aerosol optical depth (DAOD) show that aerosol loading has a maximum in late winter and early spring but a minimum in late summer and early autumn. Vertically, dust aerosol occurs in the entire troposphere in spring and winter and in the low and middle troposphere in summer and autumn. Because dust aerosols are effective ice nuclei, the seasonality of dust aerosol vertical distribution has important implications for the Arctic climate through aerosol–cloud–radiation interactions, primarily through impacting mixed-phase cloud processes.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Argonne National Lab. (ANL); Brookhaven National Lab. (BNL); Pacific Northwest National Lab. (PNNL)
Grant/Contract Number:
AC05-76RL01830; SC0020510
OSTI ID:
1897303
Alternate ID(s):
OSTI ID: 1898339
OSTI ID: 1899894
Report Number(s):
PNNL-SA-178904; PII: rs14215581
Journal Information:
Remote Sensing, Journal Name: Remote Sensing Journal Issue: 21 Vol. 14; ISSN RSBSBZ; ISSN 2072-4292
Publisher:
MDPI AGCopyright Statement
Country of Publication:
Switzerland
Language:
English

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