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A new index for statistical analyses and prediction of travelling ionospheric disturbances

Abstract

Travelling Ionospheric Disturbances (TIDs) are signatures of atmospheric gravity waves (AGWs) observed in changes in the electron density. The analysis of TIDs is relevant for studying coupling processes in the thermosphere–ionosphere system. A new TID index is introduced, which is based on an easy extension of the commonly used approach for TID detection. This TID activity index, which can be applied for individual Global Navigation Satellite Systems (GNSS) stations and also for mapping TID activity, is capable to study both Large Scale TIDs (LSTIDs) and Medium Scale TIDs (MSTIDs). is well applicable for statistical analyses and investigations of the source mechanisms of TIDs. Correlation studies presented here reveal that LSTID magnitudes at mid-latitudes are well correlated with solar wind derived parameters, like the Kan-Lee merging electric field (), the intermediate function ( ) and the modified version of the Akasufo parameter (3). Thus, the magnitude of the global solar-wind energy input into the Earth’s magnetosphere–ionosphere–thermosphere system is most relevant for the LSTID generation. The correlation with common geomagnetic activity indices shows that also sudden changes in the magnetosphere–ionosphere–thermosphere system are relevant. Good correlation results are limited to midlatitudes. High-latitude regions are impacted by auroral processes and low-latitude regions by coupling from below and other instabilities. can be used for the modelling and prediction as demonstrated with a prediction model for storm induced LSTIDs, based on solar wind observations only. Very good performance of this LSTIDs prediction model in mid-latitudes has been proven.

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Authors (4)

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS no. 247,
ISSN: 1364-6826
Language:
English
Publication year:
2023
Bibliographic description:
Borries C., Ferreira A. A., Nykiel G., Borges R. A.: A new index for statistical analyses and prediction of travelling ionospheric disturbances// JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS -Vol. 247, (2023), s.106069-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.jastp.2023.106069
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

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