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Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements
Accurate lidar ratio (LR) and better understanding of its variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on climate. Using the observational data of a Raman lidar in Shanghai...
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| Published in: | Atmospheric chemistry and physics 2021-04, Vol.21 (7), p.5377-5391 |
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| cites | cdi_FETCH-LOGICAL-c480t-8dc179ec24e83648e3beb4edfedd9dba7d79d98b20e209d288d754e0ed88f4e13 |
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| container_title | Atmospheric chemistry and physics |
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| creator | Liu, Tongqiang He, Qianshan Chen, Yonghang Liu, Jie Liu, Qiong Gao, Wei Huang, Guan Shi, Wenhao Yu, Xiaohong |
| description | Accurate lidar ratio (LR) and better understanding of its
variation characteristics can not only improve the retrieval accuracy of
parameters from elastic lidar, but also play an important role in assessing
the impacts of aerosols on climate. Using the observational data of a Raman
lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their
variations and influence factors were analyzed. Within the height range of
0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with
an average value of 41.0 ± 22.5 sr, and the LR decreased with the
increase in height. The volume depolarization ratio (δ) was
positively correlated with LR, and it also decreased with the increase in
height, indicating that the vertical distribution of particle shape was one of
the influence factors of the variations in LR with height. LR had a strong
dependence on the original source of air masses. Affected by the aerosols
transported from the northwest, the average LR was the largest,
44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical
distribution of LR was affected by atmospheric turbidity, with the greater
gradient of LR under clean conditions. The LR above 1 km could be more than
80 sr, when Shanghai was affected by biomass burning aerosols. |
| doi_str_mv | 10.5194/acp-21-5377-2021 |
| format | article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d46e6c456cc74e2ebc14af531b977369</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A657706491</galeid><doaj_id>oai_doaj_org_article_d46e6c456cc74e2ebc14af531b977369</doaj_id><sourcerecordid>A657706491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c480t-8dc179ec24e83648e3beb4edfedd9dba7d79d98b20e209d288d754e0ed88f4e13</originalsourceid><addsrcrecordid>eNptkkFr3DAQhU1poWmae46GnHJwKsmyJR1DSNuFhULSQm9iLI0dLWtpI2lL-u8rd0PShaLDiMc3j5HmVdU5JVcdVfwTmF3DaNO1QjSMMPqmOqG9JI1oGX_7z_199SGlDSGsI5SfVD_XwU9NxjjXvyA6yC742vkaMIYUtvXWWYh1XPRFvn8APz2AqwdIaOvC3sEM_hmbEdI-4ow-p4_VuxG2Cc-e62n14_Pt95uvzfrbl9XN9boxXJLcSGuoUGgYR9n2XGI74MDRjmitsgMIK5RVcmAEGVGWSWlFx5GglXLkSNvTanXwtQE2ehfdDPG3DuD0XyHESUPMzmxRW95jb3jXGyM4MhwM5TB2LR2UEG2vitfFwWsXw-MeU9absI--jK_LdymqKKfylZqgmDo_hhzBzC4Zfd13QpCeq2Wuq_9Q5VicnQkeR1f0o4bLo4bCZHzKE-xT0qv7u2OWHFhTtpQiji8Pp0QvcdAlDppRvcRBL3Fo_wBKSKaK</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2509191418</pqid></control><display><type>article</type><title>Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements</title><source>Publicly Available Content Database</source><source>Directory of Open Access Journals</source><source>Alma/SFX Local Collection</source><creator>Liu, Tongqiang ; He, Qianshan ; Chen, Yonghang ; Liu, Jie ; Liu, Qiong ; Gao, Wei ; Huang, Guan ; Shi, Wenhao ; Yu, Xiaohong</creator><creatorcontrib>Liu, Tongqiang ; He, Qianshan ; Chen, Yonghang ; Liu, Jie ; Liu, Qiong ; Gao, Wei ; Huang, Guan ; Shi, Wenhao ; Yu, Xiaohong</creatorcontrib><description>Accurate lidar ratio (LR) and better understanding of its
variation characteristics can not only improve the retrieval accuracy of
parameters from elastic lidar, but also play an important role in assessing
the impacts of aerosols on climate. Using the observational data of a Raman
lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their
variations and influence factors were analyzed. Within the height range of
0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with
an average value of 41.0 ± 22.5 sr, and the LR decreased with the
increase in height. The volume depolarization ratio (δ) was
positively correlated with LR, and it also decreased with the increase in
height, indicating that the vertical distribution of particle shape was one of
the influence factors of the variations in LR with height. LR had a strong
dependence on the original source of air masses. Affected by the aerosols
transported from the northwest, the average LR was the largest,
44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical
distribution of LR was affected by atmospheric turbidity, with the greater
gradient of LR under clean conditions. The LR above 1 km could be more than
80 sr, when Shanghai was affected by biomass burning aerosols.</description><identifier>ISSN: 1680-7324</identifier><identifier>ISSN: 1680-7316</identifier><identifier>EISSN: 1680-7324</identifier><identifier>DOI: 10.5194/acp-21-5377-2021</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Accuracy ; Aerosol effects ; Aerosols ; Air masses ; Atmospheric turbidity ; Biomass burning ; Burning ; Depolarization ; Distribution ; Haze ; Height ; Irregular particles ; Lasers ; Lidar ; Lidar measurements ; Optical properties ; Optical radar ; Particle shape ; Physical properties ; Pollutants ; Product reliability ; Remote sensing ; Shape ; Turbidity ; Variation ; Vertical distribution</subject><ispartof>Atmospheric chemistry and physics, 2021-04, Vol.21 (7), p.5377-5391</ispartof><rights>COPYRIGHT 2021 Copernicus GmbH</rights><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-8dc179ec24e83648e3beb4edfedd9dba7d79d98b20e209d288d754e0ed88f4e13</citedby><cites>FETCH-LOGICAL-c480t-8dc179ec24e83648e3beb4edfedd9dba7d79d98b20e209d288d754e0ed88f4e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2509191418/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2509191418?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Liu, Tongqiang</creatorcontrib><creatorcontrib>He, Qianshan</creatorcontrib><creatorcontrib>Chen, Yonghang</creatorcontrib><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Liu, Qiong</creatorcontrib><creatorcontrib>Gao, Wei</creatorcontrib><creatorcontrib>Huang, Guan</creatorcontrib><creatorcontrib>Shi, Wenhao</creatorcontrib><creatorcontrib>Yu, Xiaohong</creatorcontrib><title>Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements</title><title>Atmospheric chemistry and physics</title><description>Accurate lidar ratio (LR) and better understanding of its
variation characteristics can not only improve the retrieval accuracy of
parameters from elastic lidar, but also play an important role in assessing
the impacts of aerosols on climate. Using the observational data of a Raman
lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their
variations and influence factors were analyzed. Within the height range of
0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with
an average value of 41.0 ± 22.5 sr, and the LR decreased with the
increase in height. The volume depolarization ratio (δ) was
positively correlated with LR, and it also decreased with the increase in
height, indicating that the vertical distribution of particle shape was one of
the influence factors of the variations in LR with height. LR had a strong
dependence on the original source of air masses. Affected by the aerosols
transported from the northwest, the average LR was the largest,
44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical
distribution of LR was affected by atmospheric turbidity, with the greater
gradient of LR under clean conditions. The LR above 1 km could be more than
80 sr, when Shanghai was affected by biomass burning aerosols.</description><subject>Accuracy</subject><subject>Aerosol effects</subject><subject>Aerosols</subject><subject>Air masses</subject><subject>Atmospheric turbidity</subject><subject>Biomass burning</subject><subject>Burning</subject><subject>Depolarization</subject><subject>Distribution</subject><subject>Haze</subject><subject>Height</subject><subject>Irregular particles</subject><subject>Lasers</subject><subject>Lidar</subject><subject>Lidar measurements</subject><subject>Optical properties</subject><subject>Optical radar</subject><subject>Particle shape</subject><subject>Physical properties</subject><subject>Pollutants</subject><subject>Product reliability</subject><subject>Remote sensing</subject><subject>Shape</subject><subject>Turbidity</subject><subject>Variation</subject><subject>Vertical distribution</subject><issn>1680-7324</issn><issn>1680-7316</issn><issn>1680-7324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkkFr3DAQhU1poWmae46GnHJwKsmyJR1DSNuFhULSQm9iLI0dLWtpI2lL-u8rd0PShaLDiMc3j5HmVdU5JVcdVfwTmF3DaNO1QjSMMPqmOqG9JI1oGX_7z_199SGlDSGsI5SfVD_XwU9NxjjXvyA6yC742vkaMIYUtvXWWYh1XPRFvn8APz2AqwdIaOvC3sEM_hmbEdI-4ow-p4_VuxG2Cc-e62n14_Pt95uvzfrbl9XN9boxXJLcSGuoUGgYR9n2XGI74MDRjmitsgMIK5RVcmAEGVGWSWlFx5GglXLkSNvTanXwtQE2ehfdDPG3DuD0XyHESUPMzmxRW95jb3jXGyM4MhwM5TB2LR2UEG2vitfFwWsXw-MeU9absI--jK_LdymqKKfylZqgmDo_hhzBzC4Zfd13QpCeq2Wuq_9Q5VicnQkeR1f0o4bLo4bCZHzKE-xT0qv7u2OWHFhTtpQiji8Pp0QvcdAlDppRvcRBL3Fo_wBKSKaK</recordid><startdate>20210407</startdate><enddate>20210407</enddate><creator>Liu, Tongqiang</creator><creator>He, Qianshan</creator><creator>Chen, Yonghang</creator><creator>Liu, Jie</creator><creator>Liu, Qiong</creator><creator>Gao, Wei</creator><creator>Huang, Guan</creator><creator>Shi, Wenhao</creator><creator>Yu, Xiaohong</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>DOA</scope></search><sort><creationdate>20210407</creationdate><title>Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements</title><author>Liu, Tongqiang ; 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variation characteristics can not only improve the retrieval accuracy of
parameters from elastic lidar, but also play an important role in assessing
the impacts of aerosols on climate. Using the observational data of a Raman
lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their
variations and influence factors were analyzed. Within the height range of
0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with
an average value of 41.0 ± 22.5 sr, and the LR decreased with the
increase in height. The volume depolarization ratio (δ) was
positively correlated with LR, and it also decreased with the increase in
height, indicating that the vertical distribution of particle shape was one of
the influence factors of the variations in LR with height. LR had a strong
dependence on the original source of air masses. Affected by the aerosols
transported from the northwest, the average LR was the largest,
44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical
distribution of LR was affected by atmospheric turbidity, with the greater
gradient of LR under clean conditions. The LR above 1 km could be more than
80 sr, when Shanghai was affected by biomass burning aerosols.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/acp-21-5377-2021</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| source | Publicly Available Content Database; Directory of Open Access Journals; Alma/SFX Local Collection |
| subjects | Accuracy Aerosol effects Aerosols Air masses Atmospheric turbidity Biomass burning Burning Depolarization Distribution Haze Height Irregular particles Lasers Lidar Lidar measurements Optical properties Optical radar Particle shape Physical properties Pollutants Product reliability Remote sensing Shape Turbidity Variation Vertical distribution |
| title | Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements |
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