The auroral oval position, structure, and intensity of precipitation from 1984 onward: An automated on-line data base

Journal Article · Mon Apr 01 04:00:00 EST 1991 · Journal of Geophysical Research; (United States)

DOI:https://doi.org/10.1029/90JA02450· OSTI ID:5223135

Newell, P T; Wing, S; Meng, Chingi; Sigillito, V ^[1]

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1. Johns Hopkins Univ., Laurel, MD (USA)

An on-line data base consisting of the auroral oval boundaries, structure, and particle fluxes from the DMSP F7 and F9 satellites from December 1983 through the present (with about an 7-month lag) is announced. The data are divided into distinct regions (e.g., diffuse aurora, discrete aurora, cusp proper, polar rain, etc.). The magnetospheric sources of the various particle precipitation regions are identified using a sophisticated pattern recognition technique (a neural network). For each region the boundaries are specified in both geographic and geomagnetic coordinates, and the average and peak values of the particle fluxes are given, along with the average energies. The DMSP satellites are continuously monitored, so that data gaps are comparatively rare. It is anticipated that the location of the auroral oval (and precipitation intensities) will be of particular interest to ground-based observers; although anyone interested in the state of the auroral oval may find it of value. SPAN data requests are processed on a completely automated basis, with up to 48 hours of auroral oval parameters provided in response to a single request.

• OSTI ID: 5223135
• Journal Information: Journal of Geophysical Research; (United States), Journal Name: Journal of Geophysical Research; (United States) Vol. 96:A4; ISSN 0148-0227; ISSN JGREA
• Country of Publication: United States
• Language: English

Related Subjects

640201* -- Atmospheric Physics-- Auroral
Ionospheric
& Magetospheric Phenomena
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
AURORAE
AURORAL OVAL
CHARGED-PARTICLE PRECIPITATION
EARTH ATMOSPHERE
EARTH MAGNETOSPHERE
INFORMATION SYSTEMS
MORPHOLOGY
NEURAL NETWORKS
ON-LINE SYSTEMS
PATTERN RECOGNITION
POLAR CUSP
SATELLITES