Abstract

Abstract. Data from the Fabry-Perot Interferometers at KEOPS (Sweden), Sodankylä (Finland), and Svalbard (Norway), have been analysed for gravity wave activity on all the clear nights from 2000 to 2006. A total of 249 nights were available from KEOPS, 133 from Sodankylä and 185 from the Svalbard FPI. A Lomb-Scargle analysis was performed on each of these nights to identify the periods of any wave activity during the night. Comparisons between many nights of data allow the general characteristics of the waves that are present in the high latitude upper thermosphere to be determined. Comparisons were made between the different parameters: the atomic oxygen intensities, the thermospheric winds and temperatures, and for each parameter the distribution of frequencies of the waves was determined. No dependence on the number of waves on geomagnetic activity levels, or position in the solar cycle, was found. All the FPIs have had different detectors at various times, producing different time resolutions of the data, so comparisons between the different years, and between data from different sites, showed how the time resolution determines which waves are observed. In addition to the cutoff due to the Nyquist frequency, poor resolution observations significantly reduce the number of short-period waves (<1 h period) that may be detected with confidence. The length of the dataset, which is usually determined by the length of the night, was the main factor influencing the number of long period waves (>5 h) detected. Comparisons between the number of gravity waves detected at KEOPS and Sodankylä over all the seasons showed a similar proportion of waves to the number of nights used for both sites, as expected since the two sites are at similar latitudes and therefore locations with respect to the auroral oval, confirming this as a likely source region. Svalbard showed fewer waves with short periods than KEOPS data for a season when both had the same time resolution data. This gives a clear indication of the direction of flow of the gravity waves, and corroborates that the source is the auroral oval. This is because the energy is dissipated through heating in each cycle of a wave, therefore, over a given distance, short period waves lose more energy than long and dissipate before they reach their target.

Highlights

  • The Atmospheric Physics Laboratory (APL) at University College London (UCL) has a network of Fabry-Perot Interferometers (FPIs) located in northern Scandinavia

  • Gravity waves were seen in the atomic oxygen intensities and neutral temperatures from the FPI data from three instruments in mainland Scandinavia

  • This is consistent with an auroral oval source region, which can be seen from magnetometer and all sky camera data for example, to be in the north throughout the night

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Summary

Introduction

The Atmospheric Physics Laboratory (APL) at University College London (UCL) has a network of Fabry-Perot Interferometers (FPIs) located in northern Scandinavia (see e.g. Aruliah et al, 2004). Atmospheric gravity waves (AGW) have been detected in FPI measurements of the 630.0 nm atomic oxygen by Ford et al (2006) and Ford et al (2007). This emission occurs at an altitude of 240 km, and these gravity waves are in the high-latitude upper thermosphere. The data presented in this paper makes use of the large database of FPI measurements available from operating the instruments at various sites over many years This can be used to statistically analyse the data to determine how frequently gravity waves are present, what periods they have, and what factors influence their amplitude or frequency of occurrence. The periods of the gravity waves observed are limited by the length of the data set, i.e. the length of the night, and of the time resolution of the data, so this will bias the results by excluding periods outside of this range

Data and analysis
Case study
Time resolution effects
Parameter comparisons
Geomagnetic activity dependences
Spatial distribution of gravity waves
Gravity wave propagation directions
Seasonal variations
Solar cycle variations
Conclusions
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