Resolving MIT Electrodynamic Processes by Analyzing GEC Data Streams

Details Resolving MIT Electrodynamic Processes by Analyzing GEC Data Streams Resolving MIT Electrodynamic Processes by Analyzing GEC Data Streams

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufmsa22a..08s&link_type=abstract

American Geophysical Union, Fall Meeting 2002, abstract #SA22A-08

Physics

0910 Data Processing, 2427 Ionosphere/Atmosphere Interactions (0335), 2431 Ionosphere/Magnetosphere Interactions (2736), 2447 Modeling And Forecasting

Scientific paper

The NASA Solar Terrestrial Probe (STP) Mission Geospace Electrodynamic Connections (GEC) will consist of three identical satellites measuring thermosphere and ionosphere state variables along with magnetospheric coupling parameters. These measurements will be made from a simple orbit whose perigee will drop to below 130 km while the intersatellite temporal spacing will range from seconds to 33 minutes. GEC will explore for the first time the electrodynamic coupling processes that exist in the ionosphere-thermosphere driven by the magnetosphere. Because of the triple satellite configuration, GEC will acquire the measurements necessary to resolve the space-time ambiguities concerning the energy transfer scales between the magnetosphere-ionosphere-thermosphere (MIT) system. But how will scientists analyze the GEC data streams to obtain this new understanding? This presentation will address initial considerations on how the analysis of GEC observations will be pursued. That GEC will generate over 60 parallel but independent science parameter data streams is but the ``tip of the iceberg"; almost all are coupled via physical processes that have a wide range of spatial and temporal scales. The presentation will focus on how case studies will strive to use these GEC data (and probably additional observations) to constrain physical models of the coupling processes. Various GEC-Model-MIT scenarios will be synthesized and analyzed to demonstrate the problem facing scientists. The spatial and temporal dynamics of the MIT system is synthesized by using the Utah State University (USU) Magnetosphere-Ionosphere (M-I) model simulation of a substorm along with the NOAA/SEC thermosphere-ionosphere (CTIM) simulation of a large storm as drivers for a high resolution ionospheric simulation using the USU Time Dependent Ionospheric Model (TDIM). Resulting from these model runs is a numerical data base with spatial scales ranging from 20 km to global and temporal scales from 20 seconds to hours. This synthetic environment is then sampled along probable GEC orbit paths. The temporal spacing of the satellites is a variable to be used in testing proposed analysis techniques. These techniques range from the usual visual orbit inspection, through epoch analysis, correlation-covariance analysis, to wavelet analysis.

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