Published December 1990 | Version v1
Journal article

A neural-network-based system for monitoring the aurora

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

Description

A series of Air Force Defense Meteorological Satellite Program satellites, collectively in continuous operation, measure precipitating particles in the range where most of the energy flux is carried. An algorithm was developed for automatically monitoring the high-latitude precipitation, including a neural-network-based identification of the source region of all precipitation observed. The result is an enormous and sophisticated data base, one use of which is to determine the appropriate mapping of ionospheric magnetic field lines into near-earth space. The data base is also being provided on a limited basis to the space physics community as a service. The system is a logical step in the development of a real-time capability to predict space weather. 19 refs

Additional details

Publishing Information

Journal Title
Johns Hopkins APL Technical Digest
Journal Volume
11
Series
Johns Hopkins APL Tech. Dig.
Journal Page Range
291-299
ISSN
0270-5214
CODEN
JHADD

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
22055073
Subject category
S58: GEOSCIENCES;
Descriptors DEI
ALGORITHMS; AURORAE; CHARGED-PARTICLE PRECIPITATION; EARTH MAGNETOSPHERE; FORECASTING; INFORMATION SYSTEMS; INTERACTIONS; IONOSPHERE; MAGNETIC FIELDS; MONITORING; NEURAL NETWORKS; REAL TIME SYSTEMS; SATELLITES
Descriptors DEC
EARTH ATMOSPHERE