Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques

Name: Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques
Creator: Christine Verbeke
Published: 2022-10-25T07:29:41.571Z
Keywords: Space Weather

Verbeke, Christine; Mays, M. Leila; Kay, Christina; Riley, Pete; Palmerio, Erika; Dumbović, Mateja; Mierla, Marilena; Scolini, Camilla; Temmer, Manuela; Paouris, Evangelos; Balmaceda, Laura; Cremades, Hebe; Hinterreiter, Jürgen

doi:10.17632/gcnk7gh4h4.1

Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques

Published: 25 October 2022| Version 1 | DOI: 10.17632/gcnk7gh4h4.1

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Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbović, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouris, Laura Balmaceda, Hebe Cremades, Jürgen Hinterreiter

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Data associated with the paper "Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques" (https://doi.org/10.1016/j.asr.2022.08.056).

Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques

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