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Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio
The lidar ratio (LR) is a key parameter for the retrieval of atmospheric optical parameters from lidar equations. In this study, we simulated the optical parameters to investigate the impact factors of the LR using a three-component optical aerosol assumption based on the Mie model. The simulated LR...
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Published in: | Remote sensing (Basel, Switzerland) Switzerland), 2022-04, Vol.14 (7), p.1554 |
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description | The lidar ratio (LR) is a key parameter for the retrieval of atmospheric optical parameters from lidar equations. In this study, we simulated the optical parameters to investigate the impact factors of the LR using a three-component optical aerosol assumption based on the Mie model. The simulated LR was generally related to the overall particle size of the aerosols, the proportion of elemental carbon (EC), as well as aerosol mixing states and hygroscopicity. The LR was positively correlated with the particle size and volume fraction of elemental carbon (fEC). The LR increased more than three-fold with the increase in fEC from 0% to 40%. The LR of the core-shell (CS) mixing state and homogeneously internal (INT) mixing state was greater than that of the external (EXT) mixing state. The LR of all mixing states increased monotonically with hygroscopicity when the fEC was below 10%, while the LR of the core-shell mixing state (homogeneously internal mixing state) initially decreased (increased) and then increased (decreased) with increasing hygroscopicity when the fEC was more than 20%. These results will help in selecting a reasonable LR for practical applications. |
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These results will help in selecting a reasonable LR for practical applications.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs14071554</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aerosols ; Atmospheric aerosols ; Atmospheric boundary layer ; Carbon ; Dust ; Humidity ; hygroscopic growth ; Hygroscopicity ; Lidar ; lidar ratio ; Mie model ; mixing state ; Optical properties ; Parameters ; Particle size ; Remote sensing</subject><ispartof>Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1554</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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-c361t-33b4a947b5576b253f457f56b8307136c9d0b7a83acb447d074d23cb91668e363</citedby><cites>FETCH-LOGICAL-c361t-33b4a947b5576b253f457f56b8307136c9d0b7a83acb447d074d23cb91668e363</cites><orcidid>0000-0002-5518-7285 ; 0000-0002-6093-0571 ; 0000-0001-8005-4524</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2649089935/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2649089935?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Zhang, Zhijie</creatorcontrib><creatorcontrib>Liu, Li</creatorcontrib><creatorcontrib>Wang, Baomin</creatorcontrib><creatorcontrib>Tan, Haobo</creatorcontrib><creatorcontrib>Lan, Changxing</creatorcontrib><creatorcontrib>Wang, Ye</creatorcontrib><creatorcontrib>Chan, Pakwai</creatorcontrib><title>Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio</title><title>Remote sensing (Basel, Switzerland)</title><description>The lidar ratio (LR) is a key parameter for the retrieval of atmospheric optical parameters from lidar equations. 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These results will help in selecting a reasonable LR for practical applications.</description><subject>Aerosols</subject><subject>Atmospheric aerosols</subject><subject>Atmospheric boundary layer</subject><subject>Carbon</subject><subject>Dust</subject><subject>Humidity</subject><subject>hygroscopic growth</subject><subject>Hygroscopicity</subject><subject>Lidar</subject><subject>lidar ratio</subject><subject>Mie model</subject><subject>mixing state</subject><subject>Optical properties</subject><subject>Parameters</subject><subject>Particle size</subject><subject>Remote sensing</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUNtKAzEQXUTBUvviFwR8E1azmVw2j6VeWqgIXp5DLrs1pd2s2RTs3xutqPMyw8zhnDOnKM4rfAUg8XUcKopFxRg9KkYEC1JSIsnxv_m0mAzDGucCqCSmo-Jmse21TSi0aNrEMIQNevAfvluh56RTg3Tn0Hy_yhcbem992qPQofTWoKV3OqInnXw4K05avRmayU8fF693ty-zebl8vF_MpsvSAq9SCWCollQYxgQ3hEFLmWgZNzVk28CtdNgIXYO2hlLhsKCOgDWy4rxugMO4WBx4XdBr1Ue_1XGvgvbqexHiSumYvN00yglqaUsIbXWdPzfaSFfrmsnKADdYZK6LA1cfw_uuGZJah13ssn1FOJW4lhJYRl0eUDYnMMSm_VWtsPoKXf2FDp9DgXEh</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Zhang, Zhijie</creator><creator>Liu, Li</creator><creator>Wang, Baomin</creator><creator>Tan, Haobo</creator><creator>Lan, Changxing</creator><creator>Wang, Ye</creator><creator>Chan, Pakwai</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5518-7285</orcidid><orcidid>https://orcid.org/0000-0002-6093-0571</orcidid><orcidid>https://orcid.org/0000-0001-8005-4524</orcidid></search><sort><creationdate>20220401</creationdate><title>Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio</title><author>Zhang, Zhijie ; 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In this study, we simulated the optical parameters to investigate the impact factors of the LR using a three-component optical aerosol assumption based on the Mie model. The simulated LR was generally related to the overall particle size of the aerosols, the proportion of elemental carbon (EC), as well as aerosol mixing states and hygroscopicity. The LR was positively correlated with the particle size and volume fraction of elemental carbon (fEC). The LR increased more than three-fold with the increase in fEC from 0% to 40%. The LR of the core-shell (CS) mixing state and homogeneously internal (INT) mixing state was greater than that of the external (EXT) mixing state. The LR of all mixing states increased monotonically with hygroscopicity when the fEC was below 10%, while the LR of the core-shell mixing state (homogeneously internal mixing state) initially decreased (increased) and then increased (decreased) with increasing hygroscopicity when the fEC was more than 20%. 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subjects | Aerosols Atmospheric aerosols Atmospheric boundary layer Carbon Dust Humidity hygroscopic growth Hygroscopicity Lidar lidar ratio Mie model mixing state Optical properties Parameters Particle size Remote sensing |
title | Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio |
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