Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare
The primary descriptive quantity of the ionospheric regions of the Earth is the Total Electron Content (TEC). This value is affected by erratic solar events such as solar flares and Coronal Mass Ejections (CME), which affect satellite signal communication. This paper aims to utilize the Ordinary Kri...
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description | The primary descriptive quantity of the ionospheric regions of the Earth is the Total Electron Content (TEC). This value is affected by erratic solar events such as solar flares and Coronal Mass Ejections (CME), which affect satellite signal communication. This paper aims to utilize the Ordinary Kriging-based Surrogate model (OKSM) to predict the TEC values for Low, Mid, and High- latitude GPS satellite signals receiving stations across the globe during X 9.3 solar flare that occurred on 6 September 2017. The GPS TEC values that are obtained from IONOLAB are down sampled into steps of 24 values per day for 10 days between 1 September 2017 to 10 September 2017. The relative solar parameters such as Sun Spot Number (SSN), F10.7, Kp, Ap, and Dst are considered for analyzing OKSM response. The effects of the solar flares on TEC values during these days were analyzed and validated with the TEC values from internationally acclaimed models like IRI 2016 and IRI PLAS 2017. It is found that the OKSM predicted better TEC values during extreme solar disturbance conditions when compared with its respective counterparts. The comparative results with the IRI-2016 and IRI PLAS-2017 model indicate that OKSM follows the same TEC. The performance indicator for the proposed model considered as Root Mean Square Error (RMSE) for low latitude Global Positioning System (GPS) station is estimated as 4.60 TECU. Similarly, the RMSE calculated for Mid and High latitude stations is computed as 1.55 and 1.29 TECU. It is evident from the results that OKSM values are closer to the original TEC values and precisely following the response of the solar flare days. |
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This value is affected by erratic solar events such as solar flares and Coronal Mass Ejections (CME), which affect satellite signal communication. This paper aims to utilize the Ordinary Kriging-based Surrogate model (OKSM) to predict the TEC values for Low, Mid, and High- latitude GPS satellite signals receiving stations across the globe during X 9.3 solar flare that occurred on 6 September 2017. The GPS TEC values that are obtained from IONOLAB are down sampled into steps of 24 values per day for 10 days between 1 September 2017 to 10 September 2017. The relative solar parameters such as Sun Spot Number (SSN), F10.7, Kp, Ap, and Dst are considered for analyzing OKSM response. The effects of the solar flares on TEC values during these days were analyzed and validated with the TEC values from internationally acclaimed models like IRI 2016 and IRI PLAS 2017. It is found that the OKSM predicted better TEC values during extreme solar disturbance conditions when compared with its respective counterparts. The comparative results with the IRI-2016 and IRI PLAS-2017 model indicate that OKSM follows the same TEC. The performance indicator for the proposed model considered as Root Mean Square Error (RMSE) for low latitude Global Positioning System (GPS) station is estimated as 4.60 TECU. Similarly, the RMSE calculated for Mid and High latitude stations is computed as 1.55 and 1.29 TECU. It is evident from the results that OKSM values are closer to the original TEC values and precisely following the response of the solar flare days.</description><identifier>ISSN: 0004-640X</identifier><identifier>EISSN: 1572-946X</identifier><identifier>DOI: 10.1007/s10509-021-03986-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Astrobiology ; Astronomy ; Astrophysics ; Astrophysics and Astroparticles ; Coronal mass ejection ; Cosmology ; Extreme values ; Global positioning systems ; GPS ; Latitude ; Modelling ; Observations and Techniques ; Original Article ; Physics ; Physics and Astronomy ; Root-mean-square errors ; Satellite navigation systems ; Solar corona ; Solar flares ; Space Exploration and Astronautics ; Space Sciences (including Extraterrestrial Physics ; Stations ; Sunspots ; Total Electron Content</subject><ispartof>Astrophysics and space science, 2021-08, Vol.366 (8), Article 80</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-e6e695b06899c19dbcb3b25d2b3aed461b860253b05658fea80af313db9351433</citedby><cites>FETCH-LOGICAL-c319t-e6e695b06899c19dbcb3b25d2b3aed461b860253b05658fea80af313db9351433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10509-021-03986-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10509-021-03986-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Kiruthiga, S.</creatorcontrib><creatorcontrib>Mythili, S.</creatorcontrib><creatorcontrib>Mukesh, R.</creatorcontrib><creatorcontrib>Vijay, M.</creatorcontrib><creatorcontrib>Venkata Ratnam, D.</creatorcontrib><title>Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare</title><title>Astrophysics and space science</title><addtitle>Astrophys Space Sci</addtitle><description>The primary descriptive quantity of the ionospheric regions of the Earth is the Total Electron Content (TEC). This value is affected by erratic solar events such as solar flares and Coronal Mass Ejections (CME), which affect satellite signal communication. This paper aims to utilize the Ordinary Kriging-based Surrogate model (OKSM) to predict the TEC values for Low, Mid, and High- latitude GPS satellite signals receiving stations across the globe during X 9.3 solar flare that occurred on 6 September 2017. The GPS TEC values that are obtained from IONOLAB are down sampled into steps of 24 values per day for 10 days between 1 September 2017 to 10 September 2017. The relative solar parameters such as Sun Spot Number (SSN), F10.7, Kp, Ap, and Dst are considered for analyzing OKSM response. The effects of the solar flares on TEC values during these days were analyzed and validated with the TEC values from internationally acclaimed models like IRI 2016 and IRI PLAS 2017. It is found that the OKSM predicted better TEC values during extreme solar disturbance conditions when compared with its respective counterparts. The comparative results with the IRI-2016 and IRI PLAS-2017 model indicate that OKSM follows the same TEC. The performance indicator for the proposed model considered as Root Mean Square Error (RMSE) for low latitude Global Positioning System (GPS) station is estimated as 4.60 TECU. Similarly, the RMSE calculated for Mid and High latitude stations is computed as 1.55 and 1.29 TECU. It is evident from the results that OKSM values are closer to the original TEC values and precisely following the response of the solar flare days.</description><subject>Astrobiology</subject><subject>Astronomy</subject><subject>Astrophysics</subject><subject>Astrophysics and Astroparticles</subject><subject>Coronal mass ejection</subject><subject>Cosmology</subject><subject>Extreme values</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Latitude</subject><subject>Modelling</subject><subject>Observations and Techniques</subject><subject>Original Article</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Root-mean-square errors</subject><subject>Satellite navigation systems</subject><subject>Solar corona</subject><subject>Solar flares</subject><subject>Space Exploration and Astronautics</subject><subject>Space Sciences (including Extraterrestrial Physics</subject><subject>Stations</subject><subject>Sunspots</subject><subject>Total Electron Content</subject><issn>0004-640X</issn><issn>1572-946X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kFFLwzAUhYMoOKd_wKcLvtqZNE3aPI4xp6hM2IS9haRJt46u6ZJW2b-3c4JvvtzLgXMOnA-hW4JHBOP0IRDMsIhwTCJMRcaj7AwNCEvjSCR8dY4GGOMk4gleXaKrELa9FFykA7Qf16o6hDKAK2A5ncCnqjoboPHWlHlrDegDzF8Wb6B2rl6HFir3dQ-70oCqDWzK9QYq1ZZtZyzM3hcQ2l65OoDpfFmvYQViRCG4Snko-mOv0UWhqmBvfv8QfTxOl5On6HU-e56MX6OcEtFGllsumMY8EyInwuhcUx0zE2uqrEk40RnHMaMaM86ywqoMq4ISarSgjCSUDtHdqbfxbt9PauXWdb5fG2TMOBU04Wnau-KTK_cuBG8L2fhyp_xBEiyPaOUJrezRyh-0MutD9BQKzXGj9X_V_6S-AbEaetk</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Kiruthiga, S.</creator><creator>Mythili, S.</creator><creator>Mukesh, R.</creator><creator>Vijay, M.</creator><creator>Venkata Ratnam, D.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20210801</creationdate><title>Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare</title><author>Kiruthiga, S. ; Mythili, S. ; Mukesh, R. ; Vijay, M. ; Venkata Ratnam, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-e6e695b06899c19dbcb3b25d2b3aed461b860253b05658fea80af313db9351433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Astrobiology</topic><topic>Astronomy</topic><topic>Astrophysics</topic><topic>Astrophysics and Astroparticles</topic><topic>Coronal mass ejection</topic><topic>Cosmology</topic><topic>Extreme values</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Latitude</topic><topic>Modelling</topic><topic>Observations and Techniques</topic><topic>Original Article</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Root-mean-square errors</topic><topic>Satellite navigation systems</topic><topic>Solar corona</topic><topic>Solar flares</topic><topic>Space Exploration and Astronautics</topic><topic>Space Sciences (including Extraterrestrial Physics</topic><topic>Stations</topic><topic>Sunspots</topic><topic>Total Electron Content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kiruthiga, S.</creatorcontrib><creatorcontrib>Mythili, S.</creatorcontrib><creatorcontrib>Mukesh, R.</creatorcontrib><creatorcontrib>Vijay, M.</creatorcontrib><creatorcontrib>Venkata Ratnam, D.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Science Journals</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Astrophysics and space science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kiruthiga, S.</au><au>Mythili, S.</au><au>Mukesh, R.</au><au>Vijay, M.</au><au>Venkata Ratnam, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare</atitle><jtitle>Astrophysics and space science</jtitle><stitle>Astrophys Space Sci</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>366</volume><issue>8</issue><artnum>80</artnum><issn>0004-640X</issn><eissn>1572-946X</eissn><abstract>The primary descriptive quantity of the ionospheric regions of the Earth is the Total Electron Content (TEC). This value is affected by erratic solar events such as solar flares and Coronal Mass Ejections (CME), which affect satellite signal communication. This paper aims to utilize the Ordinary Kriging-based Surrogate model (OKSM) to predict the TEC values for Low, Mid, and High- latitude GPS satellite signals receiving stations across the globe during X 9.3 solar flare that occurred on 6 September 2017. The GPS TEC values that are obtained from IONOLAB are down sampled into steps of 24 values per day for 10 days between 1 September 2017 to 10 September 2017. The relative solar parameters such as Sun Spot Number (SSN), F10.7, Kp, Ap, and Dst are considered for analyzing OKSM response. The effects of the solar flares on TEC values during these days were analyzed and validated with the TEC values from internationally acclaimed models like IRI 2016 and IRI PLAS 2017. It is found that the OKSM predicted better TEC values during extreme solar disturbance conditions when compared with its respective counterparts. The comparative results with the IRI-2016 and IRI PLAS-2017 model indicate that OKSM follows the same TEC. The performance indicator for the proposed model considered as Root Mean Square Error (RMSE) for low latitude Global Positioning System (GPS) station is estimated as 4.60 TECU. Similarly, the RMSE calculated for Mid and High latitude stations is computed as 1.55 and 1.29 TECU. It is evident from the results that OKSM values are closer to the original TEC values and precisely following the response of the solar flare days.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10509-021-03986-8</doi></addata></record> |
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subjects | Astrobiology Astronomy Astrophysics Astrophysics and Astroparticles Coronal mass ejection Cosmology Extreme values Global positioning systems GPS Latitude Modelling Observations and Techniques Original Article Physics Physics and Astronomy Root-mean-square errors Satellite navigation systems Solar corona Solar flares Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Stations Sunspots Total Electron Content |
title | Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare |
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