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Quantitative evaluation of solar wind time‐shifting methods
Nine years of solar wind dynamic pressure and geosynchronous magnetic field data are used for a large‐scale statistical comparison of uncertainties associated with several different algorithms for propagating solar wind measurements. The MVAB‐0 scheme is best overall, performing on average a minute...
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Published in: | Space Weather 2016-11, Vol.14 (11), p.973-981 |
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creator | Cameron, Taylor Jackel, Brian |
description | Nine years of solar wind dynamic pressure and geosynchronous magnetic field data are used for a large‐scale statistical comparison of uncertainties associated with several different algorithms for propagating solar wind measurements. The MVAB‐0 scheme is best overall, performing on average a minute more accurately than a flat time‐shift. We also evaluate the accuracy of these time‐shifting methods as a function of solar wind magnetic field orientation. We find that all time‐shifting algorithms perform significantly worse (>5 min) due to geometric effects when the solar wind magnetic field is radial (parallel or antiparallel to the Earth‐Sun line). Finally, we present an empirical scheme that performs almost as well as MVAB‐0 on average and as well as MVAB‐0 for intervals with nonradial B.
Key Points
We show that solar wind time‐shifting technique accuracy depends greatly on IMF azimuth
We provide numerical uncertainties for solar wind time‐shifting methods derived from a large‐scale statistical analysis
We introduce a new time‐shifting method that is much simpler than other methods while performing almost well as the best performing method |
doi_str_mv | 10.1002/2016SW001451 |
format | article |
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Key Points
We show that solar wind time‐shifting technique accuracy depends greatly on IMF azimuth
We provide numerical uncertainties for solar wind time‐shifting methods derived from a large‐scale statistical analysis
We introduce a new time‐shifting method that is much simpler than other methods while performing almost well as the best performing method</description><identifier>ISSN: 1542-7390</identifier><identifier>ISSN: 1539-4964</identifier><identifier>EISSN: 1542-7390</identifier><identifier>DOI: 10.1002/2016SW001451</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Accuracy ; Algorithms ; Azimuth ; Dynamic pressure ; Empirical analysis ; Evaluation ; Magnetic fields ; Mathematical analysis ; Mathematical models ; Methods ; Orientation ; Quantitative analysis ; Saturn ; Solar wind ; Space weather ; Statistical analysis ; Stellar mass ; Sun ; time‐shifting ; Uncertainty ; Wind effects ; Wind measurement</subject><ispartof>Space Weather, 2016-11, Vol.14 (11), p.973-981</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Cameron, Taylor</creatorcontrib><creatorcontrib>Jackel, Brian</creatorcontrib><title>Quantitative evaluation of solar wind time‐shifting methods</title><title>Space Weather</title><description>Nine years of solar wind dynamic pressure and geosynchronous magnetic field data are used for a large‐scale statistical comparison of uncertainties associated with several different algorithms for propagating solar wind measurements. The MVAB‐0 scheme is best overall, performing on average a minute more accurately than a flat time‐shift. We also evaluate the accuracy of these time‐shifting methods as a function of solar wind magnetic field orientation. We find that all time‐shifting algorithms perform significantly worse (>5 min) due to geometric effects when the solar wind magnetic field is radial (parallel or antiparallel to the Earth‐Sun line). Finally, we present an empirical scheme that performs almost as well as MVAB‐0 on average and as well as MVAB‐0 for intervals with nonradial B.
Key Points
We show that solar wind time‐shifting technique accuracy depends greatly on IMF azimuth
We provide numerical uncertainties for solar wind time‐shifting methods derived from a large‐scale statistical analysis
We introduce a new time‐shifting method that is much simpler than other methods while performing almost well as the best performing method</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Azimuth</subject><subject>Dynamic pressure</subject><subject>Empirical analysis</subject><subject>Evaluation</subject><subject>Magnetic fields</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Orientation</subject><subject>Quantitative analysis</subject><subject>Saturn</subject><subject>Solar wind</subject><subject>Space weather</subject><subject>Statistical analysis</subject><subject>Stellar mass</subject><subject>Sun</subject><subject>time‐shifting</subject><subject>Uncertainty</subject><subject>Wind effects</subject><subject>Wind measurement</subject><issn>1542-7390</issn><issn>1539-4964</issn><issn>1542-7390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqN0MtKAzEUBuAgCtbqzgcYcONm9OQ2kyxcSKkXKIhU6TJkmsSmzKVOMi3d-Qg-o0_iSF0UV3IW5198HDg_QucYrjAAuSaAs-kMADOOD9AAc0bSnEo43MvH6CSEZa8ZJ2yAbp47XUcfdfRrm9i1Lrs-NnXSuCQ0pW6Tja9NEn1lvz4-w8K76Ou3pLJx0Zhwio6cLoM9-91D9Ho3fhk9pJOn-8fR7SRdEULy1GCHC2Gd6YdgO-fccM25LqS1xmaSCQoA3IEojAHi-FyCzKBgmstCC0KH6HJ3d9U2750NUVU-zG1Z6to2XVBYZKx_kOXwD8o55ILkWU8v_tBl07V1_4jCEoQkNBe0V2SnNr60W7VqfaXbrcKgfjpX-52r6WxMgIqcfgOm2nXg</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Cameron, Taylor</creator><creator>Jackel, Brian</creator><general>John Wiley & Sons, Inc</general><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope></search><sort><creationdate>201611</creationdate><title>Quantitative evaluation of solar wind time‐shifting methods</title><author>Cameron, Taylor ; Jackel, Brian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2227-d1f1b8efdfdf21ec55d5a55ab9eede694830005f08bdd02f5c90960b4a59ba823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Azimuth</topic><topic>Dynamic pressure</topic><topic>Empirical analysis</topic><topic>Evaluation</topic><topic>Magnetic fields</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Orientation</topic><topic>Quantitative analysis</topic><topic>Saturn</topic><topic>Solar wind</topic><topic>Space weather</topic><topic>Statistical analysis</topic><topic>Stellar mass</topic><topic>Sun</topic><topic>time‐shifting</topic><topic>Uncertainty</topic><topic>Wind effects</topic><topic>Wind measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cameron, Taylor</creatorcontrib><creatorcontrib>Jackel, Brian</creatorcontrib><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Space Weather</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cameron, Taylor</au><au>Jackel, Brian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative evaluation of solar wind time‐shifting methods</atitle><jtitle>Space Weather</jtitle><date>2016-11</date><risdate>2016</risdate><volume>14</volume><issue>11</issue><spage>973</spage><epage>981</epage><pages>973-981</pages><issn>1542-7390</issn><issn>1539-4964</issn><eissn>1542-7390</eissn><abstract>Nine years of solar wind dynamic pressure and geosynchronous magnetic field data are used for a large‐scale statistical comparison of uncertainties associated with several different algorithms for propagating solar wind measurements. The MVAB‐0 scheme is best overall, performing on average a minute more accurately than a flat time‐shift. We also evaluate the accuracy of these time‐shifting methods as a function of solar wind magnetic field orientation. We find that all time‐shifting algorithms perform significantly worse (>5 min) due to geometric effects when the solar wind magnetic field is radial (parallel or antiparallel to the Earth‐Sun line). Finally, we present an empirical scheme that performs almost as well as MVAB‐0 on average and as well as MVAB‐0 for intervals with nonradial B.
Key Points
We show that solar wind time‐shifting technique accuracy depends greatly on IMF azimuth
We provide numerical uncertainties for solar wind time‐shifting methods derived from a large‐scale statistical analysis
We introduce a new time‐shifting method that is much simpler than other methods while performing almost well as the best performing method</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2016SW001451</doi><tpages>9</tpages></addata></record> |
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subjects | Accuracy Algorithms Azimuth Dynamic pressure Empirical analysis Evaluation Magnetic fields Mathematical analysis Mathematical models Methods Orientation Quantitative analysis Saturn Solar wind Space weather Statistical analysis Stellar mass Sun time‐shifting Uncertainty Wind effects Wind measurement |
title | Quantitative evaluation of solar wind time‐shifting methods |
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