Matches in SemOpenAlex for { <https://semopenalex.org/work/W2762168606> ?p ?o ?g. }
- W2762168606 abstract "Predicting the effects of a coronal mass ejection (CME) impact requires knowing if impact will occur, which part of the CME impacts, and its magnetic properties. We explore the relation between CME deflections and rotations, which change the position and orientation of a CME, and the resulting magnetic profiles at 1 AU. For 45 STEREO-era, Earth-impacting CMEs, we determine the solar source of each CME, reconstruct its coronal position and orientation, and perform a ForeCAT (Kay et al. 2015a) simulation of the coronal deflection and rotation. From the reconstructed and modeled CME deflections and rotations we determine the solar cycle variation and correlations with CME properties. We assume no evolution between the outer corona and 1 AU and use the ForeCAT results to drive the FIDO in situ magnetic field model (Kay et al. 2017a), allowing for comparisons with ACE and Wind observations. We do not attempt to reproduce the arrival time. On average FIDO reproduces the in situ magnetic field for each vector component with an error equivalent to 35% of the average total magnetic field strength when the total modeled magnetic field is scaled to match the average observed value. Random walk best fits distinguish between ForeCAT's ability to determine FIDO's input parameters and the limitations of the simple flux rope model. These best fits reduce the average error to 30%. The FIDO results are sensitive to changes of order a degree in the CME latitude, longitude, and tilt, suggesting that accurate space weather predictions require accurate measurements of a CME's position and orientation." @default.
- W2762168606 created "2017-10-20" @default.
- W2762168606 creator A5037772026 @default.
- W2762168606 creator A5073828080 @default.
- W2762168606 date "2017-12-01" @default.
- W2762168606 modified "2023-10-06" @default.
- W2762168606 title "Using the Coronal Evolution to Successfully Forward Model CMEs' In Situ Magnetic Profiles" @default.
- W2762168606 cites W128458117 @default.
- W2762168606 cites W1579223266 @default.
- W2762168606 cites W1679897710 @default.
- W2762168606 cites W1894512358 @default.
- W2762168606 cites W1919900094 @default.
- W2762168606 cites W1967594029 @default.
- W2762168606 cites W1971847262 @default.
- W2762168606 cites W1974396216 @default.
- W2762168606 cites W1979874642 @default.
- W2762168606 cites W1981780266 @default.
- W2762168606 cites W1988835888 @default.
- W2762168606 cites W1991677485 @default.
- W2762168606 cites W2012940043 @default.
- W2762168606 cites W2016692753 @default.
- W2762168606 cites W2022853993 @default.
- W2762168606 cites W2023855736 @default.
- W2762168606 cites W2026433471 @default.
- W2762168606 cites W2038525617 @default.
- W2762168606 cites W2047343613 @default.
- W2762168606 cites W2048452676 @default.
- W2762168606 cites W2050423875 @default.
- W2762168606 cites W2056232751 @default.
- W2762168606 cites W2056890589 @default.
- W2762168606 cites W2059023333 @default.
- W2762168606 cites W2068036830 @default.
- W2762168606 cites W2073466512 @default.
- W2762168606 cites W2075111345 @default.
- W2762168606 cites W2075171181 @default.
- W2762168606 cites W2077070226 @default.
- W2762168606 cites W2084884883 @default.
- W2762168606 cites W2086458577 @default.
- W2762168606 cites W2086849825 @default.
- W2762168606 cites W2089754612 @default.
- W2762168606 cites W2094422606 @default.
- W2762168606 cites W2097228366 @default.
- W2762168606 cites W2097237458 @default.
- W2762168606 cites W2104248815 @default.
- W2762168606 cites W2111411859 @default.
- W2762168606 cites W2113897319 @default.
- W2762168606 cites W2117673438 @default.
- W2762168606 cites W2117944590 @default.
- W2762168606 cites W2121368889 @default.
- W2762168606 cites W2127112787 @default.
- W2762168606 cites W2139734986 @default.
- W2762168606 cites W2153988323 @default.
- W2762168606 cites W2174054882 @default.
- W2762168606 cites W2179583229 @default.
- W2762168606 cites W2289573980 @default.
- W2762168606 cites W2402061073 @default.
- W2762168606 cites W2512762252 @default.
- W2762168606 cites W2559246379 @default.
- W2762168606 cites W2565992476 @default.
- W2762168606 cites W2576697556 @default.
- W2762168606 cites W2582754137 @default.
- W2762168606 cites W2593260749 @default.
- W2762168606 cites W2607428144 @default.
- W2762168606 cites W2949721812 @default.
- W2762168606 cites W3015630050 @default.
- W2762168606 cites W3098038081 @default.
- W2762168606 cites W3098234891 @default.
- W2762168606 cites W3098438196 @default.
- W2762168606 cites W3099101156 @default.
- W2762168606 cites W3100726302 @default.
- W2762168606 cites W3101098830 @default.
- W2762168606 cites W3101274624 @default.
- W2762168606 cites W3101508947 @default.
- W2762168606 cites W3101721589 @default.
- W2762168606 cites W3102019171 @default.
- W2762168606 cites W3102536792 @default.
- W2762168606 cites W3104380371 @default.
- W2762168606 cites W3104722567 @default.
- W2762168606 cites W3105499648 @default.
- W2762168606 cites W3125156832 @default.
- W2762168606 cites W367812697 @default.
- W2762168606 cites W4234648000 @default.
- W2762168606 cites W1971250872 @default.
- W2762168606 doi "https://doi.org/10.1002/2017ja024541" @default.
- W2762168606 hasPublicationYear "2017" @default.
- W2762168606 type Work @default.
- W2762168606 sameAs 2762168606 @default.
- W2762168606 citedByCount "14" @default.
- W2762168606 countsByYear W27621686062018 @default.
- W2762168606 countsByYear W27621686062019 @default.
- W2762168606 countsByYear W27621686062020 @default.
- W2762168606 countsByYear W27621686062021 @default.
- W2762168606 countsByYear W27621686062022 @default.
- W2762168606 countsByYear W27621686062023 @default.
- W2762168606 crossrefType "journal-article" @default.
- W2762168606 hasAuthorship W2762168606A5037772026 @default.
- W2762168606 hasAuthorship W2762168606A5073828080 @default.
- W2762168606 hasBestOaLocation W27621686061 @default.
- W2762168606 hasConcept C108411613 @default.
- W2762168606 hasConcept C11413529 @default.