On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models

Abstract Accurate predictions of the properties of interplanetary coronal mass ejection (ICME)‐driven disturbances are a key objective for space weather forecasts. The ICME's time of arrival (ToA) at Earth is an important parameter, and one that is amenable to a variety of modeling approaches....

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Main Authors: Pete Riley, Michal Ben‐Nun
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2021SW002775
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author Pete Riley
Michal Ben‐Nun
author_facet Pete Riley
Michal Ben‐Nun
author_sort Pete Riley
collection DOAJ
description Abstract Accurate predictions of the properties of interplanetary coronal mass ejection (ICME)‐driven disturbances are a key objective for space weather forecasts. The ICME's time of arrival (ToA) at Earth is an important parameter, and one that is amenable to a variety of modeling approaches. Previous studies suggest that the best models can predict the arrival time to within an absolute uncertainty of 10–15 h. Here, we investigate the main sources of uncertainty in predicting a CME's ToA at Earth. These can be broken into two main categories: (a) the initial properties of the ejecta, including its speed, mass, and direction of propagation and (b) the properties of the ambient solar wind into which it propagates. To estimate the relative contribution to ToA uncertainties, we construct a set of numerical experiments of cone‐model CMEs, where we vary the initial speed, mass, and direction at the inner radial boundary. Additionally, we build an ensemble of 12 ambient solar wind solutions using realizations from the ADAPT model. We find that each component in the chain contributes between ±2.5 and ±7 h of uncertainty to the estimate of the CME's ToA. Importantly, different realizations of the synoptic produce the largest uncertainties. This suggests that estimates of ToA will continue to be plagued with intrinsic uncertainties of ±10 h until tighter constraints can be found for these boundary conditions. Our results suggest that there are clear benefits to focused investigations aimed at reducing the uncertainties in CME speed, mass, direction, and input boundary magnetic fields.
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spelling doaj-art-83daef9b662b4e8ea3212d6ca0bfe4b12025-01-14T16:30:36ZengWileySpace Weather1542-73902021-06-01196n/an/a10.1029/2021SW002775On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD ModelsPete Riley0Michal Ben‐Nun1Predictive Science Inc. San Diego CA USAPredictive Science Inc. San Diego CA USAAbstract Accurate predictions of the properties of interplanetary coronal mass ejection (ICME)‐driven disturbances are a key objective for space weather forecasts. The ICME's time of arrival (ToA) at Earth is an important parameter, and one that is amenable to a variety of modeling approaches. Previous studies suggest that the best models can predict the arrival time to within an absolute uncertainty of 10–15 h. Here, we investigate the main sources of uncertainty in predicting a CME's ToA at Earth. These can be broken into two main categories: (a) the initial properties of the ejecta, including its speed, mass, and direction of propagation and (b) the properties of the ambient solar wind into which it propagates. To estimate the relative contribution to ToA uncertainties, we construct a set of numerical experiments of cone‐model CMEs, where we vary the initial speed, mass, and direction at the inner radial boundary. Additionally, we build an ensemble of 12 ambient solar wind solutions using realizations from the ADAPT model. We find that each component in the chain contributes between ±2.5 and ±7 h of uncertainty to the estimate of the CME's ToA. Importantly, different realizations of the synoptic produce the largest uncertainties. This suggests that estimates of ToA will continue to be plagued with intrinsic uncertainties of ±10 h until tighter constraints can be found for these boundary conditions. Our results suggest that there are clear benefits to focused investigations aimed at reducing the uncertainties in CME speed, mass, direction, and input boundary magnetic fields.https://doi.org/10.1029/2021SW002775coronal mass ejectionstime of arrivalglobal MHD simulationsspace weatherforecasting
spellingShingle Pete Riley
Michal Ben‐Nun
On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
Space Weather
coronal mass ejections
time of arrival
global MHD simulations
space weather
forecasting
title On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
title_full On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
title_fullStr On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
title_full_unstemmed On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
title_short On the Sources and Sizes of Uncertainty in Predicting the Arrival Time of Interplanetary Coronal Mass Ejections Using Global MHD Models
title_sort on the sources and sizes of uncertainty in predicting the arrival time of interplanetary coronal mass ejections using global mhd models
topic coronal mass ejections
time of arrival
global MHD simulations
space weather
forecasting
url https://doi.org/10.1029/2021SW002775
work_keys_str_mv AT peteriley onthesourcesandsizesofuncertaintyinpredictingthearrivaltimeofinterplanetarycoronalmassejectionsusingglobalmhdmodels
AT michalbennun onthesourcesandsizesofuncertaintyinpredictingthearrivaltimeofinterplanetarycoronalmassejectionsusingglobalmhdmodels