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High-resolution station-based diurnal ionospheric total electron content (TEC) from dual-frequency GPS observations

Cepni, Murat S.; Potts, Laramie V.; Miima, John B.


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/12217</identifier>
  <creators>
    <creator>
      <creatorName>Cepni, Murat S.</creatorName>
      <givenName>Murat S.</givenName>
      <familyName>Cepni</familyName>
      <affiliation>Kocaeli Univ, Dept Geomat Engn, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Potts, Laramie V.</creatorName>
      <givenName>Laramie V.</givenName>
      <familyName>Potts</familyName>
      <affiliation>New Jersey Inst Technol, Dept Engn Technol, Newark, NJ 07102 USA</affiliation>
    </creator>
    <creator>
      <creatorName>Miima, John B.</creatorName>
      <givenName>John B.</givenName>
      <familyName>Miima</familyName>
      <affiliation>New Jersey Inst Technol, Dept Engn Technol, Newark, NJ 07102 USA</affiliation>
    </creator>
  </creators>
  <titles>
    <title>High-Resolution Station-Based Diurnal Ionospheric Total Electron Content (Tec) From Dual-Frequency Gps Observations</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2013</publicationYear>
  <dates>
    <date dateType="Issued">2013-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/12217</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1002/swe.20093</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Total electron content (TEC) estimates derived from Global Navigation Satellite System (GNSS) signal delays provide a rich source of information about the Earth's ionosphere. Networks of Global Positioning System (GPS) receivers data can be used to represent the ionosphere by a Global Ionospheric Map (GIM). Data input for GIMs is dual-frequency GNSS-only or a mixture of GNSS and altimetry observations. Parameterization of GNSS-only GIMs approaches the ionosphere as a single-layer model (SLM) to determine GPS TEC models over a region. Limitations in GNSS-only GIM TEC are due largely to the nonhomogenous global distribution of GPS tracking stations with large data gaps over the oceans. The utility of slant GPS ionospheric-induced path delays for high temporal resolution from a single-station data rate offers better representation of TEC over a small region. A station-based vertical TEC (TECV) approach modifies the traditional single-layer model (SLM) GPS TEC method by introducing a zenith angle weighting (ZAW) filter to capture signal delays from mostly near-zenith satellite passes. Comparison with GIMs shows the station-dependent TEC (SD-TEC) model exhibits robust performance under variable space weather conditions. The SD-TEC model was applied to investigate ionospheric TEC variability during the geomagnetic storm event of 9 March 2012 at midlatitude station NJJJ located in New Jersey, USA. The high temporal resolution TEC results suggest TEC production and loss rate differences before, during, and after the storm.</description>
  </descriptions>
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