SH21B-2396
3D Analysis of Remote-Sensed Heliospheric Data for Space Weather Forecasting
Tuesday, 15 December 2015
Poster Hall (Moscone South)
Hsiu-Shan Yu1, Bernard V Jackson1, P. Paul Hick1, Andrew Buffington2, Mario Mark Bisi3, Dusan Odstrcil4, Sunhak Hong5, Jaehun Kim5, Jonghyuk Yi6, Munetoshi Tokumaru7 and Americo Gonzalez-Esparza8, (1)University of California San Diego, Center for Astrophysics and Space Science, La Jolla, CA, United States, (2)University of California San Diego, La Jolla, CA, United States, (3)Rutherford Appleton Laboratory, Didcot, United Kingdom, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Korean Space Weather Center, Jeju-Si, South Korea, (6)Space Environment Laboratory, 150-gil, Gangnam-gu, Seoul, South Korea, (7)Nagoya University, Nagoya, Japan, (8)Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
Abstract:
The University of California, San Diego (UCSD) time-dependent iterative kinematic reconstruction technique has been used and expanded upon for over two decades. It currently provides some of the most accurate predictions and three-dimensional (3D) analyses of heliospheric solar-wind parameters now available using interplanetary scintillation (IPS) data. The parameters provided include reconstructions of velocity, density, and magnetic fields. Precise time-dependent results are obtained at any solar distance in the inner heliosphere using current Solar-Terrestrial Environment Laboratory (STELab), Nagoya University, Japan IPS data sets, but the reconstruction technique can also incorporate data from other IPS systems from around the world. With access using world IPS data systems, not only can predictions using the reconstruction technique be made without observation dead times due to poor longitude coverage or system outages, but the program can itself be used to standardize observations of IPS. Additionally, these analyses are now being exploited as inner-boundary values to drive an ENLIL 3D-MHD heliospheric model in real time. A major potential of this is that it will use the more realistic physics of 3D-MHD modeling to provide an automatic forecast of CMEs and corotating structures up to several days in advance of the event/features arriving at Earth, with or without involving coronagraph imagery or the necessity of magnetic fields being used to provide the background solar wind speeds.
