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Multivariate analysis of dim elves from ISUAL observations
The Imager of Sprites and Upper Atmospheric Lightning (ISUAL) on the FORMOSAT‐2 satellite, launched in 2004, records Transient Luminous Events (TLEs). ISUAL has an imager and a spectrophotometer that observe TLEs all over the globe. Among these phenomena, elves are particularly difficult to detect....
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Published in: | Journal of geophysical research. Atmospheres 2015-08, Vol.120 (15), p.7454-7466 |
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creator | Offroy, Marc Farges, Thomas Gaillard, Pierre Kuo, Cheng Ling Chen, Alfred Bing-Chih Hsu, Rue-Ron Takahashi, Yukihiro |
description | The Imager of Sprites and Upper Atmospheric Lightning (ISUAL) on the FORMOSAT‐2 satellite, launched in 2004, records Transient Luminous Events (TLEs). ISUAL has an imager and a spectrophotometer that observe TLEs all over the globe. Among these phenomena, elves are particularly difficult to detect. ISUAL often records events that correspond to significant far ultraviolet (FUV) emissions in the spectrophotometer but have no discernible TLEs in the imager. These FUV events are called “dim” elves. Therefore, it is important to develop mathematical tools to analyze the data to obtain a better evaluation of the number of elves and their occurrence. Multivariate approaches are applied to characterize the unlabeled events. The first approach is the principal component analysis which distinguishes two different groups, one including elves and dim elves. The second approach is the PARallel FACtor analysis which provides a waveform model for each group. These methodologies confirm that FUV signal is the evidence of TLE presence. A crude classification method was then suggested taking into account these results. The proportion of elves, relatively to the considered ISUAL data set, is found to be about 40%. It is similar to previous results and confirms that relatively weak lightning peak current is sufficient to produce elves. This new strategy demonstrates the potential for discriminating between lightning and TLEs without prior knowledge within the selectivity of the FUV spectral band.
Key Points
The photometric signals of elves and lightning are strongly mixed
Validation of FUV emissions as possible trigger for TLE detection on board satellite
Detection of dim elves is possible without a priori information with multivariate analysis |
doi_str_mv | 10.1002/2014JD023012 |
format | article |
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Key Points
The photometric signals of elves and lightning are strongly mixed
Validation of FUV emissions as possible trigger for TLE detection on board satellite
Detection of dim elves is possible without a priori information with multivariate analysis</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1002/2014JD023012</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Atmospherics ; dim elves ; Elves (atmospherics) ; Emissions ; Factor analysis ; FUV emissions ; Geophysics ; ISUAL ; Lightning ; Lightning currents ; Mathematical analysis ; Multivariate analysis ; Photometry ; Principal components analysis ; Records ; Satellites ; Selectivity ; Spectrophotometers ; Sprites ; TARANIS ; Transient luminous events ; Ultraviolet</subject><ispartof>Journal of geophysical research. Atmospheres, 2015-08, Vol.120 (15), p.7454-7466</ispartof><rights>2015. American Geophysical Union. All Rights Reserved.</rights><rights>Copyright Blackwell Publishing Ltd. Aug 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c5047-605d7086c4bad78b1d3834f47fa607dbeb86b251be8cd93e2a4cdee774cf9dcd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Offroy, Marc</creatorcontrib><creatorcontrib>Farges, Thomas</creatorcontrib><creatorcontrib>Gaillard, Pierre</creatorcontrib><creatorcontrib>Kuo, Cheng Ling</creatorcontrib><creatorcontrib>Chen, Alfred Bing-Chih</creatorcontrib><creatorcontrib>Hsu, Rue-Ron</creatorcontrib><creatorcontrib>Takahashi, Yukihiro</creatorcontrib><title>Multivariate analysis of dim elves from ISUAL observations</title><title>Journal of geophysical research. Atmospheres</title><addtitle>J. Geophys. Res. Atmos</addtitle><description>The Imager of Sprites and Upper Atmospheric Lightning (ISUAL) on the FORMOSAT‐2 satellite, launched in 2004, records Transient Luminous Events (TLEs). ISUAL has an imager and a spectrophotometer that observe TLEs all over the globe. Among these phenomena, elves are particularly difficult to detect. ISUAL often records events that correspond to significant far ultraviolet (FUV) emissions in the spectrophotometer but have no discernible TLEs in the imager. These FUV events are called “dim” elves. Therefore, it is important to develop mathematical tools to analyze the data to obtain a better evaluation of the number of elves and their occurrence. Multivariate approaches are applied to characterize the unlabeled events. The first approach is the principal component analysis which distinguishes two different groups, one including elves and dim elves. The second approach is the PARallel FACtor analysis which provides a waveform model for each group. These methodologies confirm that FUV signal is the evidence of TLE presence. A crude classification method was then suggested taking into account these results. The proportion of elves, relatively to the considered ISUAL data set, is found to be about 40%. It is similar to previous results and confirms that relatively weak lightning peak current is sufficient to produce elves. This new strategy demonstrates the potential for discriminating between lightning and TLEs without prior knowledge within the selectivity of the FUV spectral band.
Key Points
The photometric signals of elves and lightning are strongly mixed
Validation of FUV emissions as possible trigger for TLE detection on board satellite
Detection of dim elves is possible without a priori information with multivariate analysis</description><subject>Atmospherics</subject><subject>dim elves</subject><subject>Elves (atmospherics)</subject><subject>Emissions</subject><subject>Factor analysis</subject><subject>FUV emissions</subject><subject>Geophysics</subject><subject>ISUAL</subject><subject>Lightning</subject><subject>Lightning currents</subject><subject>Mathematical analysis</subject><subject>Multivariate analysis</subject><subject>Photometry</subject><subject>Principal components analysis</subject><subject>Records</subject><subject>Satellites</subject><subject>Selectivity</subject><subject>Spectrophotometers</subject><subject>Sprites</subject><subject>TARANIS</subject><subject>Transient luminous events</subject><subject>Ultraviolet</subject><issn>2169-897X</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqN0UtPAjEQAODGaCJBbv6ATbx4cLXvhzciihDUREC9Nd1tNykurLYLyr93DYYYD8S5zBy-mcxkADhG8BxBiC8wRHTYg5hAhPdACyOuUqkU39_W4uUQdGKcwSYkJJTRFri8W5a1X5ngTe0SszDlOvqYVEVi_Txx5crFpAjVPBmMp91RUmXRhZWpfbWIR-CgMGV0nZ_cBtOb68nVbTp66A-uuqM0Z5CKlENmBZQ8p5mxQmbIEkloQUVhOBQ2c5nkGWYoczK3ijhsaG6dE4LmhbK5JW1wupn7Fqr3pYu1nvuYu7I0C1cto0aCUi4F5-wfFGHGhUK0oSd_6Kxahub-qDEWBCnElNqlkICCcSwpatTZRuWhijG4Qr8FPzdhrRHU38_Rv5_TcLLhH750651WD_uPPYZJs1EbpJsuH2v3ue0y4VVzQQTTz_d9PRlz1BuziX4iX828nHg</recordid><startdate>20150816</startdate><enddate>20150816</enddate><creator>Offroy, Marc</creator><creator>Farges, Thomas</creator><creator>Gaillard, Pierre</creator><creator>Kuo, Cheng Ling</creator><creator>Chen, Alfred Bing-Chih</creator><creator>Hsu, Rue-Ron</creator><creator>Takahashi, Yukihiro</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope></search><sort><creationdate>20150816</creationdate><title>Multivariate analysis of dim elves from ISUAL observations</title><author>Offroy, Marc ; Farges, Thomas ; Gaillard, Pierre ; Kuo, Cheng Ling ; Chen, Alfred Bing-Chih ; Hsu, Rue-Ron ; Takahashi, Yukihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5047-605d7086c4bad78b1d3834f47fa607dbeb86b251be8cd93e2a4cdee774cf9dcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Atmospherics</topic><topic>dim elves</topic><topic>Elves (atmospherics)</topic><topic>Emissions</topic><topic>Factor analysis</topic><topic>FUV emissions</topic><topic>Geophysics</topic><topic>ISUAL</topic><topic>Lightning</topic><topic>Lightning currents</topic><topic>Mathematical analysis</topic><topic>Multivariate analysis</topic><topic>Photometry</topic><topic>Principal components analysis</topic><topic>Records</topic><topic>Satellites</topic><topic>Selectivity</topic><topic>Spectrophotometers</topic><topic>Sprites</topic><topic>TARANIS</topic><topic>Transient luminous events</topic><topic>Ultraviolet</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Offroy, Marc</creatorcontrib><creatorcontrib>Farges, Thomas</creatorcontrib><creatorcontrib>Gaillard, Pierre</creatorcontrib><creatorcontrib>Kuo, Cheng Ling</creatorcontrib><creatorcontrib>Chen, Alfred Bing-Chih</creatorcontrib><creatorcontrib>Hsu, Rue-Ron</creatorcontrib><creatorcontrib>Takahashi, Yukihiro</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Offroy, Marc</au><au>Farges, Thomas</au><au>Gaillard, Pierre</au><au>Kuo, Cheng Ling</au><au>Chen, Alfred Bing-Chih</au><au>Hsu, Rue-Ron</au><au>Takahashi, Yukihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate analysis of dim elves from ISUAL observations</atitle><jtitle>Journal of geophysical research. Atmospheres</jtitle><addtitle>J. Geophys. Res. Atmos</addtitle><date>2015-08-16</date><risdate>2015</risdate><volume>120</volume><issue>15</issue><spage>7454</spage><epage>7466</epage><pages>7454-7466</pages><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>The Imager of Sprites and Upper Atmospheric Lightning (ISUAL) on the FORMOSAT‐2 satellite, launched in 2004, records Transient Luminous Events (TLEs). ISUAL has an imager and a spectrophotometer that observe TLEs all over the globe. Among these phenomena, elves are particularly difficult to detect. ISUAL often records events that correspond to significant far ultraviolet (FUV) emissions in the spectrophotometer but have no discernible TLEs in the imager. These FUV events are called “dim” elves. Therefore, it is important to develop mathematical tools to analyze the data to obtain a better evaluation of the number of elves and their occurrence. Multivariate approaches are applied to characterize the unlabeled events. The first approach is the principal component analysis which distinguishes two different groups, one including elves and dim elves. The second approach is the PARallel FACtor analysis which provides a waveform model for each group. These methodologies confirm that FUV signal is the evidence of TLE presence. A crude classification method was then suggested taking into account these results. The proportion of elves, relatively to the considered ISUAL data set, is found to be about 40%. It is similar to previous results and confirms that relatively weak lightning peak current is sufficient to produce elves. This new strategy demonstrates the potential for discriminating between lightning and TLEs without prior knowledge within the selectivity of the FUV spectral band.
Key Points
The photometric signals of elves and lightning are strongly mixed
Validation of FUV emissions as possible trigger for TLE detection on board satellite
Detection of dim elves is possible without a priori information with multivariate analysis</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2014JD023012</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmospherics dim elves Elves (atmospherics) Emissions Factor analysis FUV emissions Geophysics ISUAL Lightning Lightning currents Mathematical analysis Multivariate analysis Photometry Principal components analysis Records Satellites Selectivity Spectrophotometers Sprites TARANIS Transient luminous events Ultraviolet |
title | Multivariate analysis of dim elves from ISUAL observations |
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