SH007
Data Mining For Science of the Sun-Earth Connection
Data Mining For Science of the Sun-Earth Connection
Session ID#: 159074
Session Description:
Direct measurements by in situ instruments are detailed and precise measurements of physical observables, which cannot be gained from remote observations. Remote sensing observations, in turn, provide large-scale context, which is absent from the in situ data taken at one point in space. Therefore, to understand the Sun-Earth system, we need to effectively establish a link between in situ measurements and remote observations by characterizing structure and plasma properties of the Sun/corona/heliosphere through the improved use of increasingly diverse data sets and a profusion of data analysis and processing techniques. The main purpose of this session is to discuss the various observations, analysis tools and models that are essential to extract information about the Sun-Earth connection as a single system. We encourage submissions on current and/or future efforts and/or challenges for observations, analysis/processing tools, models and theory that aim to decipher the physics of the Sun-Earth connection.
Index Terms:
2169 Solar wind sources [INTERPLANETARY PHYSICS]
2784 Solar wind/magnetosphere interactions [MAGNETOSPHERIC PHYSICS]
7509 Corona [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]
7594 Instruments and techniques [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]
Primary Convener: Nathalia Alzate, NASA Goddard Space Flight Center / ADNET Systems, Inc., Greenbelt, United States; ADNET Systems Inc., Greenbelt, MD, United States
Conveners: Daniel B Seaton, Southwest Research Institute, Boulder, United States and Simone Di Matteo, Catholic University of America, Physics Department, Washington, United States; NASA Goddard Space Flight Center / Catholic U. of America, Greenbelt, United States
See more of: SPA-Solar and Heliospheric Physics
