Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time
Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data. GPS Solutions, accepte...
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description | Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data. GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26–29 April, pp. 510–517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15–(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors. |
doi_str_mv | 10.1016/j.jastp.2008.10.006 |
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GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26–29 April, pp. 510–517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15–(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors.</description><identifier>ISSN: 1364-6826</identifier><identifier>EISSN: 1879-1824</identifier><identifier>DOI: 10.1016/j.jastp.2008.10.006</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Data assimilation ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Ionosphere ; Kalman filter ; Physics of the ionosphere ; Physics of the magnetosphere ; Plasmasphere</subject><ispartof>Journal of atmospheric and solar-terrestrial physics, 2009, Vol.71 (1), p.158-174</ispartof><rights>2008 Elsevier Ltd</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-8e9629872ab36f5c37f8682d3ccedca5c59f7d58255dc70f698ab41c3c971b9f3</citedby><cites>FETCH-LOGICAL-c364t-8e9629872ab36f5c37f8682d3ccedca5c59f7d58255dc70f698ab41c3c971b9f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1364682608002812$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,4009,27902,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21072009$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Anghel, Adela</creatorcontrib><creatorcontrib>Carrano, Charles</creatorcontrib><creatorcontrib>Komjathy, Attila</creatorcontrib><creatorcontrib>Astilean, Adina</creatorcontrib><creatorcontrib>Letia, Tiberiu</creatorcontrib><title>Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time</title><title>Journal of atmospheric and solar-terrestrial physics</title><description>Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data. GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26–29 April, pp. 510–517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15–(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors.</description><subject>Data assimilation</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Ionosphere</subject><subject>Kalman filter</subject><subject>Physics of the ionosphere</subject><subject>Physics of the magnetosphere</subject><subject>Plasmasphere</subject><issn>1364-6826</issn><issn>1879-1824</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kEFPGzEQhVdVkZoCv6AXX9rbBtub9XoPPVRRCYhIIAFna-IdE0dee2sbEP8eh0Q9Io3k0dN745mvqn4wOmeUiYvdfAcpT3NOqSzKnFLxpZox2fU1k3zxtfSNWNRCcvGt-p7SjlLacSlm1fYG3AieGOsyxnoDCQcC7ilEm7djIiZEMgZvcxH8E8lbJDb4kKYtRiTgBzI5SCMchdeSIqu7e2I98QixjgiOZDviWXViwCU8P76n1ePl34flVb2-XV0v_6xrXTbMtcRe8F52HDaNMK1uOiPL2kOjNQ4aWt32phtaydt20B01opewWTDd6L5jm940p9Wvw9wphn_PmLIabdLoHHgMz0lxykVbqhibg1HHkFJEo6ZoR4hvilG1p6p26oOq2lPdi4VqSf08joekwZkIXtv0P8pZ4UppX3y_Dz4st75YjCppi74cYSPqrIZgP_3nHdKUkBk</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Anghel, Adela</creator><creator>Carrano, Charles</creator><creator>Komjathy, Attila</creator><creator>Astilean, Adina</creator><creator>Letia, Tiberiu</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>2009</creationdate><title>Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time</title><author>Anghel, Adela ; Carrano, Charles ; Komjathy, Attila ; Astilean, Adina ; Letia, Tiberiu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-8e9629872ab36f5c37f8682d3ccedca5c59f7d58255dc70f698ab41c3c971b9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Data assimilation</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Ionosphere</topic><topic>Kalman filter</topic><topic>Physics of the ionosphere</topic><topic>Physics of the magnetosphere</topic><topic>Plasmasphere</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anghel, Adela</creatorcontrib><creatorcontrib>Carrano, Charles</creatorcontrib><creatorcontrib>Komjathy, Attila</creatorcontrib><creatorcontrib>Astilean, Adina</creatorcontrib><creatorcontrib>Letia, Tiberiu</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Journal of atmospheric and solar-terrestrial physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anghel, Adela</au><au>Carrano, Charles</au><au>Komjathy, Attila</au><au>Astilean, Adina</au><au>Letia, Tiberiu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time</atitle><jtitle>Journal of atmospheric and solar-terrestrial physics</jtitle><date>2009</date><risdate>2009</risdate><volume>71</volume><issue>1</issue><spage>158</spage><epage>174</epage><pages>158-174</pages><issn>1364-6826</issn><eissn>1879-1824</eissn><abstract>Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data. GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26–29 April, pp. 510–517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15–(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.jastp.2008.10.006</doi><tpages>17</tpages></addata></record> |
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subjects | Data assimilation Earth, ocean, space Exact sciences and technology External geophysics Ionosphere Kalman filter Physics of the ionosphere Physics of the magnetosphere Plasmasphere |
title | Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time |
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