Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements
A detection method is proposed and studied to infer the presence of hidden signals in a statistical way. It is applied here to the detection of Polar Stratospheric Cloud (PSC) layers in lidar backscatter profiles measured over the Dumont D'Urville station (Antarctica). PSCs appear as layers wit...
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ftdoajarticles:oai:doaj.org/article:9c6a026e37dc421285403966095b2e37 2023-05-15T13:55:29+02:00 Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements J. Gazeaux S. Bekki P. Naveau P. Keckhut J. Jumelet J. Parades C. David 2012-04-01T00:00:00Z https://doi.org/10.5194/acp-12-3205-2012 https://doaj.org/article/9c6a026e37dc421285403966095b2e37 EN eng Copernicus Publications http://www.atmos-chem-phys.net/12/3205/2012/acp-12-3205-2012.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-12-3205-2012 1680-7316 1680-7324 https://doaj.org/article/9c6a026e37dc421285403966095b2e37 Atmospheric Chemistry and Physics, Vol 12, Iss 7, Pp 3205-3217 (2012) Physics QC1-999 Chemistry QD1-999 article 2012 ftdoajarticles https://doi.org/10.5194/acp-12-3205-2012 2022-12-31T07:24:58Z A detection method is proposed and studied to infer the presence of hidden signals in a statistical way. It is applied here to the detection of Polar Stratospheric Cloud (PSC) layers in lidar backscatter profiles measured over the Dumont D'Urville station (Antarctica). PSCs appear as layers with enhanced variance in non stationary, heteroscedastic signal profiles, between two unknown altitudes to be estimated. The method is based on a three step algorithm. The first step is the stationarization of the signal, the second performs the maximum likelihoods estimation of the signal (PSC altitude range and variance inside and outside the PSC layer). The last step uses a Fisher-Snédécor test to decide whether the detection of PSC layer is statistically significant. Performances and robustness of the method are tested on simulated data with given statistical properties. Bias and detection limit are estimated. The method is then applied to lidar backscatter profiles measured in 2008. No PSC are detected during seasons when PSCs are not expected to form. As expected, PSC layers are detected during the austral winter and early spring. The effect of time averaging of the profiles is investigated. The best compromise for detection of PSC layers in lidar backscatter profiles acquired at Dumont D'Urville is a time averaging window of 1 h typically. Article in Journal/Newspaper Antarc* Antarctic Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic Austral Dumont d'Urville ENVELOPE(140.017,140.017,-66.667,-66.667) Dumont d'Urville Station ENVELOPE(140.000,140.000,-66.667,-66.667) Dumont-d'Urville ENVELOPE(140.013,140.013,-66.667,-66.667) Atmospheric Chemistry and Physics 12 7 3205 3217 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
spellingShingle |
Physics QC1-999 Chemistry QD1-999 J. Gazeaux S. Bekki P. Naveau P. Keckhut J. Jumelet J. Parades C. David Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
A detection method is proposed and studied to infer the presence of hidden signals in a statistical way. It is applied here to the detection of Polar Stratospheric Cloud (PSC) layers in lidar backscatter profiles measured over the Dumont D'Urville station (Antarctica). PSCs appear as layers with enhanced variance in non stationary, heteroscedastic signal profiles, between two unknown altitudes to be estimated. The method is based on a three step algorithm. The first step is the stationarization of the signal, the second performs the maximum likelihoods estimation of the signal (PSC altitude range and variance inside and outside the PSC layer). The last step uses a Fisher-Snédécor test to decide whether the detection of PSC layer is statistically significant. Performances and robustness of the method are tested on simulated data with given statistical properties. Bias and detection limit are estimated. The method is then applied to lidar backscatter profiles measured in 2008. No PSC are detected during seasons when PSCs are not expected to form. As expected, PSC layers are detected during the austral winter and early spring. The effect of time averaging of the profiles is investigated. The best compromise for detection of PSC layers in lidar backscatter profiles acquired at Dumont D'Urville is a time averaging window of 1 h typically. |
format |
Article in Journal/Newspaper |
author |
J. Gazeaux S. Bekki P. Naveau P. Keckhut J. Jumelet J. Parades C. David |
author_facet |
J. Gazeaux S. Bekki P. Naveau P. Keckhut J. Jumelet J. Parades C. David |
author_sort |
J. Gazeaux |
title |
Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
title_short |
Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
title_full |
Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
title_fullStr |
Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
title_full_unstemmed |
Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements |
title_sort |
detection of particle layers in backscatter profiles: application to antarctic lidar measurements |
publisher |
Copernicus Publications |
publishDate |
2012 |
url |
https://doi.org/10.5194/acp-12-3205-2012 https://doaj.org/article/9c6a026e37dc421285403966095b2e37 |
long_lat |
ENVELOPE(140.017,140.017,-66.667,-66.667) ENVELOPE(140.000,140.000,-66.667,-66.667) ENVELOPE(140.013,140.013,-66.667,-66.667) |
geographic |
Antarctic Austral Dumont d'Urville Dumont d'Urville Station Dumont-d'Urville |
geographic_facet |
Antarctic Austral Dumont d'Urville Dumont d'Urville Station Dumont-d'Urville |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Atmospheric Chemistry and Physics, Vol 12, Iss 7, Pp 3205-3217 (2012) |
op_relation |
http://www.atmos-chem-phys.net/12/3205/2012/acp-12-3205-2012.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-12-3205-2012 1680-7316 1680-7324 https://doaj.org/article/9c6a026e37dc421285403966095b2e37 |
op_doi |
https://doi.org/10.5194/acp-12-3205-2012 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
12 |
container_issue |
7 |
container_start_page |
3205 |
op_container_end_page |
3217 |
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1766262143270780928 |