2014
DOI: 10.1088/0067-0049/213/2/21
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Heliospheric Propagation of Coronal Mass Ejections: Comparison of Numerical Wsa-Enlil+cone Model and Analytical Drag-Based Model

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Cited by 93 publications
(89 citation statements)
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References 33 publications
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“…Millward et al (2013) utilised the cone model to obtain the CME parameters to be used as input in the WSA-ENLIL+Cone model to forecast the arrivals. They applied their numerical model to a sample of 25 CMEs and found a mean error of around 7.5 h. Similar results are obtained by Vršnak et al (2014) with the WSAENLIL+Cone model and the analytical drag-based model. The same numerical model was applied by Mays et al (2015) to a sample of 17 events, where a mean error of about 12 h was found.…”
Section: Comparison Of Radiative Proxies With Other Tools Of Icme Arrsupporting
confidence: 63%
“…Millward et al (2013) utilised the cone model to obtain the CME parameters to be used as input in the WSA-ENLIL+Cone model to forecast the arrivals. They applied their numerical model to a sample of 25 CMEs and found a mean error of around 7.5 h. Similar results are obtained by Vršnak et al (2014) with the WSAENLIL+Cone model and the analytical drag-based model. The same numerical model was applied by Mays et al (2015) to a sample of 17 events, where a mean error of about 12 h was found.…”
Section: Comparison Of Radiative Proxies With Other Tools Of Icme Arrsupporting
confidence: 63%
“…This preconditioning of interplanetary space by a previous CME was first proposed, before the discovery of CMEs, by Caroubalos (1964) who stated that a disturbance following a preceding disturbance encounters much more regular conditions than the first. This result corresponds to the effect of CMEs on the structure of the ambient magnetic field and solar wind flow which in turn controls the propagation behavior of trailing CMEs as discussed in a number of publications (Vršnak and Žic, 2007;Gopalswamy, 2008;Baker et al, 2013;Vršnak et al, 2014;Liu et al, 2014;Temmer and Nitta, 2015). The basic argument, in all cases, is that a CME may be subject to a minimal slow down in the wake of a preceding CME, as it encounters a preconditioned region of depleted ambient plasma density and almost radial magnetic field lines; within this region a reduced aerodynamic drag is expected.…”
Section: Discussionmentioning
confidence: 67%
“…Another approach is represented by numerical MHD-based models of the heliospheric propagation of ICME, generally requiring a detailed knowledge of the state of the heliosphere and large computational facilities (as is the case for the WSA-ENLIL model Odstrcil and Pizzo, 1999;Odstrcil et al, 2004;Owens et al, 2005;Parsons et al, 2011). The numerical models are fairly accurate (Vr snak et al, 2014), and highly sensitive to the quality of the input parameters (Falkenberg et al, 2010b), as one may expect. Recently, the WSA-ENLIL model started to be employed also in a probabilistic approach Mays et al, 2015;Pizzo et al, 2015) to quantify the prediction uncertainties and to determine the forecast confidence.…”
Section: Introductionmentioning
confidence: 90%
“…To perform a correct validation of the CME transit time forecast, we want to consider the arrival of the ICME leading edge, instead of that of the shock (see also the discussion in Schwenn et al, 2005;Vr snak et al, 2014). To this purpose, for each event, we checked for the ToA of a plasma driven effect (Magnetic clouds or Ejecta), as reported in the GMU CME/ ICME list compiled by Phillip Hess and Jie Zhang (http://solar.…”
Section: P-dbm Step-by-stepmentioning
confidence: 99%