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

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...

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Published in:Remote Sensing
Main Authors: Xie, Hailing, Wang, Zhien, Luo, Tao, Yang, Kang, Zhang, Damao, Zhou, Tian, Yang, Xueling, Liu, Xiaohong, Fu, Qiang
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1898339
https://www.osti.gov/biblio/1898339
https://doi.org/10.3390/rs14215581
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spelling ftosti:oai:osti.gov:1898339 2023-07-30T04:01:26+02:00 Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement Xie, Hailing Wang, Zhien Luo, Tao Yang, Kang Zhang, Damao Zhou, Tian Yang, Xueling Liu, Xiaohong Fu, Qiang 2022-12-06 application/pdf http://www.osti.gov/servlets/purl/1898339 https://www.osti.gov/biblio/1898339 https://doi.org/10.3390/rs14215581 unknown http://www.osti.gov/servlets/purl/1898339 https://www.osti.gov/biblio/1898339 https://doi.org/10.3390/rs14215581 doi:10.3390/rs14215581 47 OTHER INSTRUMENTATION 2022 ftosti https://doi.org/10.3390/rs14215581 2023-07-11T10:16:11Z 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. Other/Unknown Material Arctic north slope Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Remote Sensing 14 21 5581
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 47 OTHER INSTRUMENTATION
spellingShingle 47 OTHER INSTRUMENTATION
Xie, Hailing
Wang, Zhien
Luo, Tao
Yang, Kang
Zhang, Damao
Zhou, Tian
Yang, Xueling
Liu, Xiaohong
Fu, Qiang
Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
topic_facet 47 OTHER INSTRUMENTATION
description 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.
author Xie, Hailing
Wang, Zhien
Luo, Tao
Yang, Kang
Zhang, Damao
Zhou, Tian
Yang, Xueling
Liu, Xiaohong
Fu, Qiang
author_facet Xie, Hailing
Wang, Zhien
Luo, Tao
Yang, Kang
Zhang, Damao
Zhou, Tian
Yang, Xueling
Liu, Xiaohong
Fu, Qiang
author_sort Xie, Hailing
title Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
title_short Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
title_full Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
title_fullStr Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
title_full_unstemmed Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
title_sort seasonal variation of dust aerosol vertical distribution in arctic based on polarized micropulse lidar measurement
publishDate 2022
url http://www.osti.gov/servlets/purl/1898339
https://www.osti.gov/biblio/1898339
https://doi.org/10.3390/rs14215581
geographic Arctic
geographic_facet Arctic
genre Arctic
north slope
Alaska
genre_facet Arctic
north slope
Alaska
op_relation http://www.osti.gov/servlets/purl/1898339
https://www.osti.gov/biblio/1898339
https://doi.org/10.3390/rs14215581
doi:10.3390/rs14215581
op_doi https://doi.org/10.3390/rs14215581
container_title Remote Sensing
container_volume 14
container_issue 21
container_start_page 5581
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