Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017
Eastern North Atlantic (ENA) Aerosol Mask (ENA-AM) is a mask developed to isolate high concentration aerosol events and identify the regional baseline in one minute time resolution CPC measurements collected at ENA central site during Winter 2017(December 1-30). ENA-AM is based on the statistically...
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ftosti:oai:osti.gov:1579568 2023-07-30T04:05:12+02:00 Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 Gallo, Francesca Aiken, Allison 2020-02-04 application/pdf http://www.osti.gov/servlets/purl/1579568 https://www.osti.gov/biblio/1579568 https://doi.org/10.5439/1579568 unknown http://www.osti.gov/servlets/purl/1579568 https://www.osti.gov/biblio/1579568 https://doi.org/10.5439/1579568 doi:10.5439/1579568 54 Environmental Sciences 2020 ftosti https://doi.org/10.5439/1579568 2023-07-11T09:38:31Z Eastern North Atlantic (ENA) Aerosol Mask (ENA-AM) is a mask developed to isolate high concentration aerosol events and identify the regional baseline in one minute time resolution CPC measurements collected at ENA central site during Winter 2017(December 1-30). ENA-AM is based on the statistically different behavior of adjacent data points during background and pollution peaks measurements. Measurements that differ by more than α times the standard deviation (σm) of the data below the median plus the two points after are masked by ENA-AM. Other/Unknown Material North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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ftosti |
language |
unknown |
topic |
54 Environmental Sciences |
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54 Environmental Sciences Gallo, Francesca Aiken, Allison Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
topic_facet |
54 Environmental Sciences |
description |
Eastern North Atlantic (ENA) Aerosol Mask (ENA-AM) is a mask developed to isolate high concentration aerosol events and identify the regional baseline in one minute time resolution CPC measurements collected at ENA central site during Winter 2017(December 1-30). ENA-AM is based on the statistically different behavior of adjacent data points during background and pollution peaks measurements. Measurements that differ by more than α times the standard deviation (σm) of the data below the median plus the two points after are masked by ENA-AM. |
author |
Gallo, Francesca Aiken, Allison |
author_facet |
Gallo, Francesca Aiken, Allison |
author_sort |
Gallo, Francesca |
title |
Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
title_short |
Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
title_full |
Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
title_fullStr |
Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
title_full_unstemmed |
Eastern North Atlantic Aerosol Mask (ENA-AM) with the Condensation Particle Counter (CPC) at Central Facility (C1) during Winter 2017 |
title_sort |
eastern north atlantic aerosol mask (ena-am) with the condensation particle counter (cpc) at central facility (c1) during winter 2017 |
publishDate |
2020 |
url |
http://www.osti.gov/servlets/purl/1579568 https://www.osti.gov/biblio/1579568 https://doi.org/10.5439/1579568 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://www.osti.gov/servlets/purl/1579568 https://www.osti.gov/biblio/1579568 https://doi.org/10.5439/1579568 doi:10.5439/1579568 |
op_doi |
https://doi.org/10.5439/1579568 |
_version_ |
1772816977867309056 |