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   <NumericalData>
      <ResourceID>spase://ISWI/NumericalData/RION/GIRO/IRTAM/PT15M</ResourceID>
      <ResourceHeader>
         <ResourceName>Ionospheric electron densities derived from the IRTAM 3D global real-time assimilative model </ResourceName>
         <ReleaseDate>2023-12-27T16:02:27</ReleaseDate>
         <Description>IRI-based Real-Time Assimilative Model (IRTAM)
	 is a collection of global 3D ionospheric electron density
	 (Ne) computations produced every 15 minutes to follow the
	 timeline of the ionospheric weather dynamics. IRTAM 3D
	 belongs to a class of &amp;quot;assimilative IRI&amp;quot; models
	 that replace the internal coefficients of International
	 Reference Ionosphere (IRI), an empirical quiet-time model of
	 ionospheric climate with updated coefficients that are
	 obtained by smoothly transforming (&amp;quot;morphing&amp;quot;) IRI
	 into agreement with available observations. The observations
	 are provided in near-real-time by Global Ionosphere Radio
	 Observatory (GIRO) ionosondes. IRTAM 3D is a 4DVAR
	 assimilative model whose single computation provides the best
	 fit of the model to 24-hour history window of observations
	 prior to analysis time. Its underlying formalism of
	 representing Ne distributions is the same as in IRI: a set of
	 2D surface maps are computed to obtain the &amp;quot;anchor&amp;quot;
	 points of the 1D vertical extent of Ne at any location and
	 time.</Description>
         <Acknowledgement>Heavy investments of time, effort, expertise,
      and funds continue to be made to produce, collect, quality
      control, interpret, and archive ionosonde data. It is therefore
      important that the data suppliers and Lowell GIRO Data Center
      (LGDC) are appropriately acknowledged in scientific publications
      that include analysis of data obtained from LGDC servers.

      Please read Rules of the Road
      https://giro.uml.edu/didbase/RulesOfTheRoad.html for license
      information and refer to Acknowledgements List
      https://giro.uml.edu/didbase/acknowledgements.htm to use GIRO
      data per license requirements.</Acknowledgement>
         <Contact>
            <PersonID>spase://SMWG/Person/Bodo.W.Reinisch</PersonID>
            <Role>PrincipalInvestigator</Role>
         </Contact>
         <Contact>
            <PersonID>spase://SMWG/Person/Ivan.A.Galkin</PersonID>
            <Role>TechnicalContact</Role>
         </Contact>
         <Contact>
            <PersonID>spase://SMWG/Person/Leonard.N.Garcia</PersonID>
            <Role>MetadataContact</Role>
         </Contact>
         <InformationURL>
            <Name>IRTAM 3D Landing Page</Name>
            <URL>https://giro.uml.edu/IRTAM/</URL>
         </InformationURL>
      </ResourceHeader>
      <AccessInformation>
         <RepositoryID>spase://ISWI/Repository/UML/DIDBase</RepositoryID>
         <AccessURL>
            <Name>GAMBIT Landing Page</Name>
            <URL>https://giro.uml.edu/GAMBIT/</URL>
            <Description>Global Assimilative Model of Bottomside
	    Ionosphere Timeline (GAMBIT) is an online database of the
	    global ionospheric weather nowcast by IRTAM 3D (IRI-based
	    Real-Time Assimilative Model).
	    
	    IRTAM 3D uses real-time measurement feeds from GIRO
	    (Global Ionosphere Radio Observatory).

	    GAMBIT holds both real-time and retrospective IRTAM results.</Description>
         </AccessURL>
         <Format>Text.ASCII</Format>
      </AccessInformation>
      <InstrumentID>spase://ISWI/Instrument/GIRO/Ionosonde</InstrumentID>
      <MeasurementType>Waves.Active</MeasurementType>
      <TemporalDescription>
         <TimeSpan>
            <StartDate>1987-01-01T00:00:05Z</StartDate>
            <RelativeStopDate>PT5M</RelativeStopDate>
         </TimeSpan>
         <Cadence>PT15M</Cadence>
      </TemporalDescription>
      <SpectralRange>RadioFrequency</SpectralRange>
      <ObservedRegion>Earth.NearSurface.Ionosphere</ObservedRegion>
      <Keyword>Ionogram</Keyword>
   </NumericalData>
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