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Pregled bibliografske jedinice broj: 1248201

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


Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbovic, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouris, Laura A. Balmaceda, Hebe Cremades, Jurgen Hinterreiter
Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques // Advances in space research, tbd (2022), 1-20 doi:10.1016/j.asr.2022.08.056 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1248201 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

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

Izvornik
Advances in space research (0273-1177) Tbd (2022); 1-20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Sun, Heliosphere, coronal mass ejection, space weather

Sažetak
Current efforts in space weather forecasting of CMEs have been focused on predicting their arrival time and magnetic structure. To make these predictions, methods have been developed to derive the true CME speed, size, position, and mass, among others. Difficulties in determining the input parameters for CME forecasting models arise from the lack of direct measurements of the coronal magnetic fields and uncertainties in estimating the CME 3D geometric and kinematic parameters after eruption. White-light coronagraph images are usually employed by a variety of CME reconstruction techniques that assume more or less complex geometries. This is the first study from our International Space Science Institute (ISSI) team “Understanding Our Capabilities in Observing and Modeling Coronal Mass Ejections”, in which we explore how subjectivity affects the 3D CME parameters that are obtained from the Graduated Cylindrical Shell (GCS) reconstruction technique, which is widely used in CME research. To be able to quantify such uncertainties, the “true” values that are being fitted should be known, which are impossible to derive from observational data. We have designed two different synthetic scenarios where the “true” geometric parameters are known in order to quantify such uncertainties for the first time. We explore this by using two sets of synthetic data: 1) Using the ray-tracing option from the GCS model software itself, and 2) Using 3D magnetohydrodynamic (MHD) simulation data from the Magnetohydrodynamic Algorithm outside a Sphere code. Our experiment includes different viewing configurations using single and multiple viewpoints. CME reconstructions using a single viewpoint had the largest errors and error ranges overall for both synthetic GCS and simulated MHD white-light data. As the number of viewpoints increased from one to two, the errors decreased by approximately 4 in latitude, 22 in longitude, 14 in tilt, and 10 in half-angle. Our results quantitatively show the critical need for at least two viewpoints to be able to reduce the uncertainty in deriving CME parameters. We did not find a significant decrease in errors when going from two to three viewpoints for our specific hypothetical three spacecraft scenario using synthetic GCS white-light data. As we expected, considering all configurations and numbers of viewpoints, the mean absolute errors in the measured CME parameters are generally significantly higher in the case of the simulated MHD white-light data compared to those from the synthetic white-light images generated by the GCS model.

Izvorni jezik
Engleski

Znanstvena područja
Fizika



POVEZANOST RADA


Projekti:
HRZZ-IP-2020-02-9893 - Interakcija koroninih šupljina i sunčevih oluja (ICOHOSS) (Dumbović, Mateja, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Geodetski fakultet, Zagreb

Profili:

Avatar Url Mateja Dumbović (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbovic, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouris, Laura A. Balmaceda, Hebe Cremades, Jurgen Hinterreiter
Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques // Advances in space research, tbd (2022), 1-20 doi:10.1016/j.asr.2022.08.056 (međunarodna recenzija, članak, znanstveni)
Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbovic, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouris, Laura A. Balmaceda, Hebe Cremades, Jurgen Hinterreiter (2022) Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques. Advances in space research, tbd, 1-20 doi:10.1016/j.asr.2022.08.056.
@article{article, year = {2022}, pages = {1-20}, DOI = {10.1016/j.asr.2022.08.056}, keywords = {Sun, Heliosphere, coronal mass ejection, space weather}, journal = {Advances in space research}, doi = {10.1016/j.asr.2022.08.056}, volume = {tbd}, issn = {0273-1177}, title = {Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques}, keyword = {Sun, Heliosphere, coronal mass ejection, space weather} }
@article{article, year = {2022}, pages = {1-20}, DOI = {10.1016/j.asr.2022.08.056}, keywords = {Sun, Heliosphere, coronal mass ejection, space weather}, journal = {Advances in space research}, doi = {10.1016/j.asr.2022.08.056}, volume = {tbd}, issn = {0273-1177}, title = {Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques}, keyword = {Sun, Heliosphere, coronal mass ejection, space weather} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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