JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM18] [EE] Origin of Earth-affecting Coronal Mass Ejections

2017年5月25日(木) 13:45 〜 15:15 A01 (東京ベイ幕張ホール)

コンビーナ:No? Lugaz(University of New Hampshire Main Campus)、草野 完也(名古屋大学宇宙地球環境研究所)、Neel P Savani(NASA GSFC / University of Maryland Baltimore County)、浅井 歩(京都大学大学院理学研究科附属天文台)、座長:Savani Neel(NASA GSFC / UMBC)、座長:浅井 歩(京都大学大学院理学研究科附属天文台)

14:45 〜 15:00

[PEM18-10] Using Interplanatery Scintillation Data to Improve Ensemble Modeling of Coronal Mass Ejections

*Aleksandre Taktakishvili1,2Leila Mays2P. K. Manoharan3Lutz Rastaetter2Maria Kuznetsova2 (1.Catholic University of America, Washington, DC, USA、2.NASA Goddard Space Flight Center, Greenbelt, MD, USA、3.Ooty Radio Telescope, Bangalore, India)

キーワード:Coronal Mass Ejections, Ensemble Modeling, Interplanetary Scintillation Observations

The impact of the coronal mass ejections (CMEs) on the Earth’s magnetosphere-ionosphere system can cause widespread anomalies for satellites from geosynchronous to low-Earth orbit and produce effects such as geomagnetically induced currents. At the NASA/GSFC Community Coordinated Modeling Center we have been using ensemble modeling of CMEs since 2012. In this work we use interplanetary scintillation (IPS) observations from the Ooty Radio Telescope facility in India to track CMEs and compare to an ensemble of CME forecasts. This allowes downselection of the ensemble members and helps to improve forecasting of CME arrival times. The inclusion of observations of the solar wind density and velocity using IPS from hundreds of distant sources in ensemble modeling of CMEs can be a game-changing improvement of the current state of the art in CME forecasting. Moreover, the same method can be applied to ensemble simulations of the magnetosphere that suffer from the same scarcity of input data with similar degree of uncertainty.