Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
Seasonal and interannual variability of temperature and gravity wave intensity from hydroxyl emission observations in Alma Aty. / Popov, A. А. ; Gavrilov, N. M. ; Andreev, A. B. ; Pogoreltsev , A. I. .
Atmosphere, ionosphere. safety. ed. / I. V. Karpov. Vol. 1 Kaliningrad : Издательство Балтийского федерального университета им. И. Канта, 2018. p. 201-205.Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
}
TY - CHAP
T1 - Seasonal and interannual variability of temperature and gravity wave intensity from hydroxyl emission observations in Alma Aty
AU - Popov, A. А.
AU - Gavrilov, N. M.
AU - Andreev, A. B.
AU - Pogoreltsev , A. I.
PY - 2018/6
Y1 - 2018/6
N2 - Conclusion. The method of digital differential filters (2) is applied to theanalysis of observations of the rotational temperature of hydroxyl nightglow at altitudes of 85—90 km with the SATI device in Alma-Aty, Kazakhstan in years 2010—2017. Analyzed are interannual and seasonal changes in the monthly-mean temperature and characteristics of temperature perturbations with mesoscale periods, which may be associated with IGW in the mesopause region. To obtain variations with time periods of 1.7—5 h a numerical filtering was used by calculating the differences between consecutive hourly-mean temperature values. The mean temperature near the mesopause has a maximum in winter and minimum in June. IGW intensities maximize in spring and autumn and minimize in winter and summer. The slopes of regression lines in Figs. 3b—3d correspond to multi-year increasing intensity of mesoscale perturbations near the mesopause.
AB - Conclusion. The method of digital differential filters (2) is applied to theanalysis of observations of the rotational temperature of hydroxyl nightglow at altitudes of 85—90 km with the SATI device in Alma-Aty, Kazakhstan in years 2010—2017. Analyzed are interannual and seasonal changes in the monthly-mean temperature and characteristics of temperature perturbations with mesoscale periods, which may be associated with IGW in the mesopause region. To obtain variations with time periods of 1.7—5 h a numerical filtering was used by calculating the differences between consecutive hourly-mean temperature values. The mean temperature near the mesopause has a maximum in winter and minimum in June. IGW intensities maximize in spring and autumn and minimize in winter and summer. The slopes of regression lines in Figs. 3b—3d correspond to multi-year increasing intensity of mesoscale perturbations near the mesopause.
M3 - Article in an anthology
SN - 978-5-9971-0490-0
VL - 1
SP - 201
EP - 205
BT - Atmosphere, ionosphere. safety
A2 - Karpov, I. V.
PB - Издательство Балтийского федерального университета им. И. Канта
CY - Kaliningrad
ER -
ID: 36353558