Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values
The meteor trail echo decay rates are analysed on-site to provide daily temperatures near 90 km. In order to get temperatures from trail decay times, either knowledge of the pressure or the background temperature height gradient near 90 km is required (Hocking, 1999). Hocking et al. (2004)...
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Format: | Article |
Language: | English |
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Copernicus Publications
2013-07-01
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Series: | Annales Geophysicae |
Online Access: | https://www.ann-geophys.net/31/1267/2013/angeo-31-1267-2013.pdf |
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author | C. E. Meek A. H. Manson W. K. Hocking J. R. Drummond |
author_facet | C. E. Meek A. H. Manson W. K. Hocking J. R. Drummond |
author_sort | C. E. Meek |
collection | DOAJ |
description | The meteor trail echo decay rates are analysed on-site to provide daily temperatures near 90 km. In order
to get temperatures from trail decay times,
either knowledge of the pressure
or the background temperature height gradient near 90 km is
required (Hocking, 1999).
Hocking et al. (2004)
have developed an empirical 90 km temperature gradient model
depending only on latitude and time of year,
which is used in the SKiYMET on-site meteor temperature analysis.
<br><br>
Here we look at the sensitivity of the resulting temperature
to the assumed gradient and compare it and the temperatures
with daily AuraMLS averages near Eureka.
Generally there is good agreement between radar and satellite
for winter temperatures and their short-term variations.
However there is a major difference
in mid-summer both in the temperatures and the gradients.
Increased turbulence in summer, which may overwhelm the ambipolar
diffusion even at 90 km, is likely a major factor.
<br><br>
These differences are investigated by generating
ambipolar-controlled decay times from satellite pressure
and temperature
data at a range of heights and comparing with radar measurements.
Our study suggests it may be possible to use these data to estimate eddy diffusion
coefficients at heights below 90 km.
Finally the simple temperature analysis (using satellite pressures),
and a standard meteor wind analysis are used to compare mean diurnal
variations of
temperature (<I>T</I>) with those of zonal wind (<I>U</I>) and meridional wind (<I>V</I>)
in composite multi-year monthly intervals. |
first_indexed | 2024-04-13T07:41:18Z |
format | Article |
id | doaj.art-722cb036caee4bcba01ce08275029336 |
institution | Directory Open Access Journal |
issn | 0992-7689 1432-0576 |
language | English |
last_indexed | 2024-04-13T07:41:18Z |
publishDate | 2013-07-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Annales Geophysicae |
spelling | doaj.art-722cb036caee4bcba01ce082750293362022-12-22T02:55:52ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762013-07-01311267127710.5194/angeo-31-1267-2013Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS valuesC. E. Meek0A. H. Manson1W. K. Hocking2J. R. Drummond3Institute of Space and Atmospheric Studies, University of Saskatchewan, 116 Science Pl., Saskatoon, S7N 5E2, CanadaInstitute of Space and Atmospheric Studies, University of Saskatchewan, 116 Science Pl., Saskatoon, S7N 5E2, CanadaDepartment of Physics and Astronomy, University of Western Ontario, 1151 Richmond St., London, N6A 3K7, CanadaDepartment of Physics and Atmospheric Science, Dalhousie University, Halifax, B3H 3J5, CanadaThe meteor trail echo decay rates are analysed on-site to provide daily temperatures near 90 km. In order to get temperatures from trail decay times, either knowledge of the pressure or the background temperature height gradient near 90 km is required (Hocking, 1999). Hocking et al. (2004) have developed an empirical 90 km temperature gradient model depending only on latitude and time of year, which is used in the SKiYMET on-site meteor temperature analysis. <br><br> Here we look at the sensitivity of the resulting temperature to the assumed gradient and compare it and the temperatures with daily AuraMLS averages near Eureka. Generally there is good agreement between radar and satellite for winter temperatures and their short-term variations. However there is a major difference in mid-summer both in the temperatures and the gradients. Increased turbulence in summer, which may overwhelm the ambipolar diffusion even at 90 km, is likely a major factor. <br><br> These differences are investigated by generating ambipolar-controlled decay times from satellite pressure and temperature data at a range of heights and comparing with radar measurements. Our study suggests it may be possible to use these data to estimate eddy diffusion coefficients at heights below 90 km. Finally the simple temperature analysis (using satellite pressures), and a standard meteor wind analysis are used to compare mean diurnal variations of temperature (<I>T</I>) with those of zonal wind (<I>U</I>) and meridional wind (<I>V</I>) in composite multi-year monthly intervals.https://www.ann-geophys.net/31/1267/2013/angeo-31-1267-2013.pdf |
spellingShingle | C. E. Meek A. H. Manson W. K. Hocking J. R. Drummond Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values Annales Geophysicae |
title | Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values |
title_full | Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values |
title_fullStr | Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values |
title_full_unstemmed | Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values |
title_short | Eureka, 80° N, SKiYMET meteor radar temperatures compared with Aura MLS values |
title_sort | eureka 80° n skiymet meteor radar temperatures compared with aura mls values |
url | https://www.ann-geophys.net/31/1267/2013/angeo-31-1267-2013.pdf |
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