Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017
The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite has been observing polar stratospheric clouds (PSCs) from mid-June 2006 until the present. The spaceborne lidar profiles PSCs with unprecedented...
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ftdoajarticles:oai:doaj.org/article:110244049db24421b8031dd5eb761df2 2023-05-15T13:53:04+02:00 Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 M. C. Pitts L. R. Poole R. Gonzalez 2018-08-01T00:00:00Z https://doi.org/10.5194/acp-18-10881-2018 https://doaj.org/article/110244049db24421b8031dd5eb761df2 EN eng Copernicus Publications https://www.atmos-chem-phys.net/18/10881/2018/acp-18-10881-2018.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-18-10881-2018 1680-7316 1680-7324 https://doaj.org/article/110244049db24421b8031dd5eb761df2 Atmospheric Chemistry and Physics, Vol 18, Pp 10881-10913 (2018) Physics QC1-999 Chemistry QD1-999 article 2018 ftdoajarticles https://doi.org/10.5194/acp-18-10881-2018 2022-12-31T07:06:48Z The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite has been observing polar stratospheric clouds (PSCs) from mid-June 2006 until the present. The spaceborne lidar profiles PSCs with unprecedented spatial (5 km horizontal × 180 m vertical) resolution and its dual-polarization capability enables classification of PSCs according to composition. Nearly coincident Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensables (HNO 3 and H 2 O) provide additional constraints on particle composition. A new CALIOP version 2 (v2) PSC detection and composition classification algorithm has been implemented that corrects known deficiencies in previous algorithms and includes additional refinements to improve composition discrimination. Major v2 enhancements include dynamic adjustment of composition boundaries to account for effects of denitrification and dehydration, explicit use of measurement uncertainties, addition of composition confidence indices, and retrieval of particulate backscatter, which enables simplified estimates of particulate surface area density (SAD) and volume density (VD). The over 11 years of CALIOP PSC observations in each v2 composition class conform to their expected thermodynamic existence regimes, which is consistent with previous analyses of data from 2006 to 2011 and underscores the robustness of the v2 composition discrimination approach. The v2 algorithm has been applied to the CALIOP dataset to produce a PSC reference data record spanning the 2006–2017 time period, which is the foundation for a new comprehensive, high-resolution climatology of PSC occurrence and composition for both the Antarctic and Arctic. Time series of daily-averaged, vortex-wide PSC areal coverage versus altitude illustrate that Antarctic PSC seasons are similar from year to year, with about 25 % relative standard deviation in Antarctic PSC spatial volume at the peak of the season in July and August. ... Article in Journal/Newspaper Antarc* Antarctic Arctic Directory of Open Access Journals: DOAJ Articles Arctic Antarctic The Antarctic Atmospheric Chemistry and Physics 18 15 10881 10913 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
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Physics QC1-999 Chemistry QD1-999 M. C. Pitts L. R. Poole R. Gonzalez Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite has been observing polar stratospheric clouds (PSCs) from mid-June 2006 until the present. The spaceborne lidar profiles PSCs with unprecedented spatial (5 km horizontal × 180 m vertical) resolution and its dual-polarization capability enables classification of PSCs according to composition. Nearly coincident Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensables (HNO 3 and H 2 O) provide additional constraints on particle composition. A new CALIOP version 2 (v2) PSC detection and composition classification algorithm has been implemented that corrects known deficiencies in previous algorithms and includes additional refinements to improve composition discrimination. Major v2 enhancements include dynamic adjustment of composition boundaries to account for effects of denitrification and dehydration, explicit use of measurement uncertainties, addition of composition confidence indices, and retrieval of particulate backscatter, which enables simplified estimates of particulate surface area density (SAD) and volume density (VD). The over 11 years of CALIOP PSC observations in each v2 composition class conform to their expected thermodynamic existence regimes, which is consistent with previous analyses of data from 2006 to 2011 and underscores the robustness of the v2 composition discrimination approach. The v2 algorithm has been applied to the CALIOP dataset to produce a PSC reference data record spanning the 2006–2017 time period, which is the foundation for a new comprehensive, high-resolution climatology of PSC occurrence and composition for both the Antarctic and Arctic. Time series of daily-averaged, vortex-wide PSC areal coverage versus altitude illustrate that Antarctic PSC seasons are similar from year to year, with about 25 % relative standard deviation in Antarctic PSC spatial volume at the peak of the season in July and August. ... |
format |
Article in Journal/Newspaper |
author |
M. C. Pitts L. R. Poole R. Gonzalez |
author_facet |
M. C. Pitts L. R. Poole R. Gonzalez |
author_sort |
M. C. Pitts |
title |
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
title_short |
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
title_full |
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
title_fullStr |
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
title_full_unstemmed |
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 |
title_sort |
polar stratospheric cloud climatology based on calipso spaceborne lidar measurements from 2006 to 2017 |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/acp-18-10881-2018 https://doaj.org/article/110244049db24421b8031dd5eb761df2 |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
Antarc* Antarctic Arctic |
genre_facet |
Antarc* Antarctic Arctic |
op_source |
Atmospheric Chemistry and Physics, Vol 18, Pp 10881-10913 (2018) |
op_relation |
https://www.atmos-chem-phys.net/18/10881/2018/acp-18-10881-2018.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-18-10881-2018 1680-7316 1680-7324 https://doaj.org/article/110244049db24421b8031dd5eb761df2 |
op_doi |
https://doi.org/10.5194/acp-18-10881-2018 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
18 |
container_issue |
15 |
container_start_page |
10881 |
op_container_end_page |
10913 |
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1766258021253513216 |