Simultaneous observations of boundary-layer aerosol layers with CL31 ceilometer and 1064/532 nm lidar
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| Title: | Simultaneous observations of boundary-layer aerosol layers with CL31 ceilometer and 1064/532 nm lidar |
|---|---|
| Authors: | McKendry, I.G.1 ian@geog.ubc.ca, van der Kamp, D.1, Strawbridge, K.B.2, Christen, A.1, Crawford, B.1 |
| Source: | Atmospheric Environment. Nov2009, Vol. 43 Issue 36, p5847-5852. 6p. |
| Subjects: | Aerosols, Atmospheric boundary layer, Ceilometer, Backscattering, Remote sensing, Pollutants, Air quality, Air pollution |
| Abstract: | Abstract: Aerosol backscatter measurements from a Vaisala CL31 ceilometer are compared directly with a co-located 532/1064 nm lidar in order to validate the CL31 for remote sensing of vertical aerosol structure. The cases examined include a significant aerosol event (biomass burning), which by virtue of its vertical extent, provides a robust measure of the vertical range of the ceilometer for aerosol applications. A second case is presented when the instruments were separated in order to illustrate the utility of a network of such instruments for elucidating spatial patterns in aerosol distribution and the advection of elevated pollutant layers. When co-located, the instruments show remarkable agreement and indicate that the CL31 can detect aerosol layers up to 3000 m AGL in ideal conditions (at night and with high aerosol concentrations as found in biomass burning or dust plumes). When separated, multiple instruments provide an opportunity to examine advection of pollutant layers as well as their evolution. This suggests that installation of a ceilometer network would provide a cost-effective means of examining three-dimensional aspects of regional air quality as well as distinguishing between regional and local sources of pollution [Copyright &y& Elsevier] |
| Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 44997905 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Simultaneous observations of boundary-layer aerosol layers with CL31 ceilometer and 1064/532 nm lidar – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22McKendry%2C+I%2EG%2E%22">McKendry, I.G.</searchLink><relatesTo>1</relatesTo><i> ian@geog.ubc.ca</i><br /><searchLink fieldCode="AR" term="%22van+der+Kamp%2C+D%2E%22">van der Kamp, D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Strawbridge%2C+K%2EB%2E%22">Strawbridge, K.B.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Christen%2C+A%2E%22">Christen, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Crawford%2C+B%2E%22">Crawford, B.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2009, Vol. 43 Issue 36, p5847-5852. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aerosols%22">Aerosols</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+boundary+layer%22">Atmospheric boundary layer</searchLink><br /><searchLink fieldCode="DE" term="%22Ceilometer%22">Ceilometer</searchLink><br /><searchLink fieldCode="DE" term="%22Backscattering%22">Backscattering</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br /><searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink><br /><searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Aerosol backscatter measurements from a Vaisala CL31 ceilometer are compared directly with a co-located 532/1064 nm lidar in order to validate the CL31 for remote sensing of vertical aerosol structure. The cases examined include a significant aerosol event (biomass burning), which by virtue of its vertical extent, provides a robust measure of the vertical range of the ceilometer for aerosol applications. A second case is presented when the instruments were separated in order to illustrate the utility of a network of such instruments for elucidating spatial patterns in aerosol distribution and the advection of elevated pollutant layers. When co-located, the instruments show remarkable agreement and indicate that the CL31 can detect aerosol layers up to 3000 m AGL in ideal conditions (at night and with high aerosol concentrations as found in biomass burning or dust plumes). When separated, multiple instruments provide an opportunity to examine advection of pollutant layers as well as their evolution. This suggests that installation of a ceilometer network would provide a cost-effective means of examining three-dimensional aspects of regional air quality as well as distinguishing between regional and local sources of pollution [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.atmosenv.2009.07.063 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 5847 Subjects: – SubjectFull: Aerosols Type: general – SubjectFull: Atmospheric boundary layer Type: general – SubjectFull: Ceilometer Type: general – SubjectFull: Backscattering Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Pollutants Type: general – SubjectFull: Air quality Type: general – SubjectFull: Air pollution Type: general Titles: – TitleFull: Simultaneous observations of boundary-layer aerosol layers with CL31 ceilometer and 1064/532 nm lidar Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McKendry, I.G. – PersonEntity: Name: NameFull: van der Kamp, D. – PersonEntity: Name: NameFull: Strawbridge, K.B. – PersonEntity: Name: NameFull: Christen, A. – PersonEntity: Name: NameFull: Crawford, B. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 11 Text: Nov2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 13522310 Numbering: – Type: volume Value: 43 – Type: issue Value: 36 Titles: – TitleFull: Atmospheric Environment Type: main |
| ResultId | 1 |
