Quantifying the Uncertainty in CME Kinematics Derived From Geometric Modeling of Heliospheric Imager Data-Reference-Cited by-同舟云学术

Quantifying the Uncertainty in CME Kinematics Derived From Geometric Modeling of Heliospheric Imager Data

Published:2022-01 Issue:1 Volume:20 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Barnard L.¹^ORCID,Owens M. J.¹^ORCID,Scott C. J.¹^ORCID,Lockwood M.¹^ORCID,Koning C. A.²³^ORCID,Amerstorfer T.⁴^ORCID,Hinterreiter J.⁴^ORCID,Möstl C.⁴⁵,Davies J. A.⁶,Riley P.⁷^ORCID

Affiliation:

1. Department of Meteorology University of Reading Reading UK

2. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder Colorado USA

3. Space Weather Prediction Center NOAA Boulder Colorado USA

4. Space Research Institute Austrian Academy of Sciences Graz Austria

5. Institute of Geodesy Graz University of Technology Graz Austria

6. RAL Space Rutherford Appleton Laboratory Harwell Campus Didcot UK

7. Predictive Science Inc. San Diego CA USA

Funder

Natural Environment Research Council

Austrian Science Fund

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021SW002841

Reference71 articles.

1. Evaluation of CME Arrival Prediction Using Ensemble Modeling Based on Heliospheric Imaging Observations

2. Ensemble Prediction of a Halo Coronal Mass Ejection Using Heliospheric Imagers

3. Improvement in the prediction of solar wind conditions using near-real time solar magnetic field updates

4. Testing the current paradigm for space weather prediction with heliospheric imagers

5. Ensemble CME Modeling Constrained by Heliospheric Imager Observations

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