hsrl (01)
High-spectral-resolution lidar (HSRL) systems collect data about clouds and aerosols. These systems provide vertical profiles of optical depth, backscatter cross-section, depolarization, and backscatter phase function. All HSRL measurements are absolutely calibrated by reference to molecular scatter...
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ftosti:oai:osti.gov:1972278 2023-07-30T04:02:36+02:00 hsrl (01) Bambha, Ray Ermold, Brian Eloranta, Edwin Garcia, Joseph 2023-05-05 application/pdf http://www.osti.gov/servlets/purl/1972278 https://www.osti.gov/biblio/1972278 https://doi.org/10.5439/1972278 unknown http://www.osti.gov/servlets/purl/1972278 https://www.osti.gov/biblio/1972278 https://doi.org/10.5439/1972278 doi:10.5439/1972278 54 Environmental Sciences 2023 ftosti https://doi.org/10.5439/1972278 2023-07-11T10:26:52Z High-spectral-resolution lidar (HSRL) systems collect data about clouds and aerosols. These systems provide vertical profiles of optical depth, backscatter cross-section, depolarization, and backscatter phase function. All HSRL measurements are absolutely calibrated by reference to molecular scattering, which is measured at each point in the lidar profile. Like the Raman lidar, but unlike simple backscatter lidars such as the micropulse lidar, the HSRL can measure backscatter cross-sections and optical depths without prior assumptions about the scattering properties of the atmosphere. The depolarization observations also allow robust discrimination between ice and water clouds. In addition, rigorous error estimates can be computed for all measurements. A very narrow, angular field of view reduces multiple scattering contributions. The small field of view, coupled with a narrow optical bandwidth, nearly eliminates noise due to scattered sunlight. ARM operates two HSRL systems, one at the Barrow, North Slope of Alaska (NSA) site and the other in the second ARM Mobile Facility (AMF2), which is deployed at various locations on field campaigns. Other/Unknown Material Barrow north slope Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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unknown |
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54 Environmental Sciences |
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54 Environmental Sciences Bambha, Ray Ermold, Brian Eloranta, Edwin Garcia, Joseph hsrl (01) |
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54 Environmental Sciences |
description |
High-spectral-resolution lidar (HSRL) systems collect data about clouds and aerosols. These systems provide vertical profiles of optical depth, backscatter cross-section, depolarization, and backscatter phase function. All HSRL measurements are absolutely calibrated by reference to molecular scattering, which is measured at each point in the lidar profile. Like the Raman lidar, but unlike simple backscatter lidars such as the micropulse lidar, the HSRL can measure backscatter cross-sections and optical depths without prior assumptions about the scattering properties of the atmosphere. The depolarization observations also allow robust discrimination between ice and water clouds. In addition, rigorous error estimates can be computed for all measurements. A very narrow, angular field of view reduces multiple scattering contributions. The small field of view, coupled with a narrow optical bandwidth, nearly eliminates noise due to scattered sunlight. ARM operates two HSRL systems, one at the Barrow, North Slope of Alaska (NSA) site and the other in the second ARM Mobile Facility (AMF2), which is deployed at various locations on field campaigns. |
author |
Bambha, Ray Ermold, Brian Eloranta, Edwin Garcia, Joseph |
author_facet |
Bambha, Ray Ermold, Brian Eloranta, Edwin Garcia, Joseph |
author_sort |
Bambha, Ray |
title |
hsrl (01) |
title_short |
hsrl (01) |
title_full |
hsrl (01) |
title_fullStr |
hsrl (01) |
title_full_unstemmed |
hsrl (01) |
title_sort |
hsrl (01) |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1972278 https://www.osti.gov/biblio/1972278 https://doi.org/10.5439/1972278 |
genre |
Barrow north slope Alaska |
genre_facet |
Barrow north slope Alaska |
op_relation |
http://www.osti.gov/servlets/purl/1972278 https://www.osti.gov/biblio/1972278 https://doi.org/10.5439/1972278 doi:10.5439/1972278 |
op_doi |
https://doi.org/10.5439/1972278 |
_version_ |
1772813424053452800 |