Reconstruction of gaps in the past history of solar wind parameters
The historical (1972–2013) gaps of the solar wind parameters are filled‐in by smooth modes of covariability using the continuous geomagnetic indices with Singular Spectrum Analysis (SSA). A systematic study using experiments with synthetic gaps has been performed to determine optimal SSA parameters...
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| Veröffentlicht in: | Geophysical research letters 2014-04, Vol.41 (8), p.2702-2707 |
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| container_title | Geophysical research letters |
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| creator | Kondrashov, D. Denton, R. Shprits, Y. Y. Singer, H. J. |
| description | The historical (1972–2013) gaps of the solar wind parameters are filled‐in by smooth modes of covariability using the continuous geomagnetic indices with Singular Spectrum Analysis (SSA). A systematic study using experiments with synthetic gaps has been performed to determine optimal SSA parameters for reconstruction of gaps over full solar cycle and to assess the reconstruction skill. We assessed the accuracy of the SSA gap‐filling for solar wind reconstruction in T96 and TS05 empirical magnetic field models by using GOES measurements at geostationary orbit, and compared it to the results based on parameters from existing Qin and Denton interpolation. The SSA gap‐filling method does improve accuracy of empirical magnetic field models, especially when gaps are large and in particular for the TS05 magnetic field model.
Key PointsSSA gap‐filling significantly improves accuracy of TS05 model in large gapsSSA provides for most improvement in correlation in large gapsSSA‐reconstructed 1972–2013 solar wind data set is included in SI |
| doi_str_mv | 10.1002/2014GL059741 |
| format | Article |
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Key PointsSSA gap‐filling significantly improves accuracy of TS05 model in large gapsSSA provides for most improvement in correlation in large gapsSSA‐reconstructed 1972–2013 solar wind data set is included in SI</description><subject>Accuracy</subject><subject>Empirical analysis</subject><subject>Gaps</subject><subject>Geomagnetism</subject><subject>History</subject><subject>Interpolation</subject><subject>Magnetic field</subject><subject>Magnetic fields</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Modes</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Reconstruction</subject><subject>singular spectrum analysis</subject><subject>Solar cycle</subject><subject>Solar wind</subject><subject>Solar wind parameters</subject><subject>Spectrum analysis</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp90F1LwzAUBuAgCs7pnT-g4I0XVk---nEp03VCURiKsJuQJqmrdk1NWub-vR0TES92dQLnecPhRegcwzUGIDcEMMty4GnM8AEa4ZSxMAGID9EIIB3eJI6O0Yn37wBAgeIRmsyNso3vXK-6yjaBLYM32fqgaoJuaYJW-i5YVr6zbrPdeVtLF6yrRg8rJ1emM86foqNS1t6c_cwxepneP09mYf6UPUxu81BxTuJQGcqUljgBrgspsaQRISBNbJSiqdJAieZKctCSaYZNERU61RxMqYooJUDH6HL3b-vsZ298J1aVV6auZWNs7wXmlCUME7qlF__ou-1dM1wncIohSThQvldFjEBEogQP6mqnlLPeO1OK1lUr6TYCg9j2Lv72PnCy4-uqNpu9VmTznGOexEMo3IWGqs3Xb0i6DxHFNObi9TET0xlZ5GyxEHf0G5hQkaE</recordid><startdate>20140428</startdate><enddate>20140428</enddate><creator>Kondrashov, D.</creator><creator>Denton, R.</creator><creator>Shprits, Y. 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Y.</au><au>Singer, H. J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reconstruction of gaps in the past history of solar wind parameters</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2014-04-28</date><risdate>2014</risdate><volume>41</volume><issue>8</issue><spage>2702</spage><epage>2707</epage><pages>2702-2707</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>The historical (1972–2013) gaps of the solar wind parameters are filled‐in by smooth modes of covariability using the continuous geomagnetic indices with Singular Spectrum Analysis (SSA). A systematic study using experiments with synthetic gaps has been performed to determine optimal SSA parameters for reconstruction of gaps over full solar cycle and to assess the reconstruction skill. We assessed the accuracy of the SSA gap‐filling for solar wind reconstruction in T96 and TS05 empirical magnetic field models by using GOES measurements at geostationary orbit, and compared it to the results based on parameters from existing Qin and Denton interpolation. The SSA gap‐filling method does improve accuracy of empirical magnetic field models, especially when gaps are large and in particular for the TS05 magnetic field model.
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| ispartof | Geophysical research letters, 2014-04, Vol.41 (8), p.2702-2707 |
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| source | Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley Free Content; Wiley-Blackwell AGU Digital Library |
| subjects | Accuracy Empirical analysis Gaps Geomagnetism History Interpolation Magnetic field Magnetic fields Mathematical models Methods Modes Optimization Parameters Reconstruction singular spectrum analysis Solar cycle Solar wind Solar wind parameters Spectrum analysis |
| title | Reconstruction of gaps in the past history of solar wind parameters |
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