Chunliang Xia

A preliminary study of thermosphere and mesosphere wind observed by Fabry‐Perot over Kelan, China

A Fabry-Perot interferometer (FPI) system was deployed in Kelan (38.7°N, 111.6°E), center China in November 2011, which observes the airglows at wavelengths of 892.0 nm, 557.7 nm, and 630.0 nm from OH and OI emissions in the upper atmosphere, to derive the wind and temperature at heights around 87 km, 97 km, and 250 km, respectively. From late 2011 through 2013 a series of more than 4500 measurements at each height are validated according to manufacture data quality criteria. By using these data, the morphology of wind in the mesosphere and thermosphere is investigated in this study. Preliminary results are as follows: (1) As for the diurnal variation, meridional and zonal winds at heights of 87 km and 97 km, which are derived through 892.0 nm and 557.7 nm airglows, usually range from −50 m/s to 30 m/s and −50 m/s to 50 m/s, respectively, with typical random errors of about 6–10 m/s at 87 km and 2–3 m/s at 97 km. Meridional winds usually are northward at dusk, southward at middle night, and back to northward at dawn; and zonal winds usually are eastward at dusk, westward at middle night, and back to eastward at dawn. The monthly mean winds are in good agreement with those of HWM93 results. Meridional and zonal winds at a height of 250 km, which are derived through 630.0 nm nightglow, range from −110 m/s to 80 m/s with typical random errors of about 8–10 m/s. Meridional winds usually are northward at dusk, southward at middle night, and back to northward at dawn; and zonal winds usually are eastward at dusk, zero at middle night, and westward at dawn; and they are also well consistent with HWM93 results. (2) As for the seasonal variation, meridional winds at the heights of 87 km and 97 km have a visible annual variation at 12–17 LT and with a little semiannual variation at all other hours, but the zonal winds at the heights of 87 km and 97 km have a semiannual variation all night. The seasonal dependence of the winds, both meridional and zonal winds, at the height of 250 km is generally annual, but isolated cases of semiannual variation are observed. (3) The horizontal winds at 250 km evidently respond to the two storms of July 2012, apparent enhancement of the velocity of the southwestward wind. But no other obvious storm effects can be found from the winds at 87 km and 97 km during the same period.

A comparison of mesospheric and low‐thermospheric winds measured by Fabry‐Perot interferometer and meteor radar over central China

Wind data observed by a Fabry Perot Interferometer (FPI) and a Meteor Radar (MR) deployed in two stations, which are 430 km apart in ground distance, are used to study wind climatology in MLT over Central China and compare between the measurements. A general morphologic similarity of the FPI winds and MR winds is identified with four-years data since November 2011. At 87 km, the wind vector plots show the FPI and MR winds agree with each other very well in all months. The zonal winds of both instruments have an apparent semi-annual variation with a maximal strength of -20 m/s at around 18 UT in equinoctial months, and the meridional winds from both instruments have an apparent annual variation with a maximal strength of -40 m/s at around 15 UT in summer months. The correlation coefficients between the measurements of the two instruments are about 0.95 for meridional wind and 0.90 for zonal wind. At 97 km, the wind vector plots show that FPI and MR winds agree with each other from May to October and are obviously different in the rest months. There are very weak semi-annual variation at around 18 UT for both zonal winds and pronounced annual variation at around 13 UT for both meridional winds. The correlation coefficients between the FPI and MR winds are 0.73 for zonal wind and 0.86 for meridional wind, which are overall smaller than that at 87 km. A Gaussian distribution of airglow profile is used to investigate the deviations associated with peak height and full-width-half-maximum (FWHM) of airglow layer. It is found that the variation of peak height could lead to about 20% variation of correlation coefficients between measurements at the height of 87 km and about 14.8% at the height of 97 km on average. The variation of FWHM could lead to a correlation coefficient variation of about 2.4% and 3.5% at the height of 87 km and 97 km, respectively. Some other reasons, such as the influence of geomagnetic field on meteor trail, the propagation of gravity waves, could also contribute to these differences between measurements.

Peak height of OH airglow derived from simultaneous observations a Fabry-Perot interferometer and a Meteor Radar†

A new method for estimating daily averaged peak height of the OH airglow layer from a ground-based Meteor Radar (MR) and a Fabry-Perot Interferometer (FPI) is presented. The first results are derived from four-year simultaneous measurements of winds by a MR and a FPI at two adjacent stations over center China, and are compared with observations from the TIMED/SABER instrument. The OH airglow peak heights, which are derived by using correlation analysis between winds of the FPI and MR, are found to generally peak at an altitude of 87 km, and frequently varied between 80 km to 90 km day to day. In comparison with SABER OH 1.6 µm observations, reasonable similarity of airglow peak heights is found, and rapid day-to-day variations are also pronounced. Lomb-Scargle analysis is used to determine cycles of temporal variations of airglow peak heights, and there are obvious periodic variations both in our airglow peak heights and in the satellite observations. In addition to the annual, semi-annual, monthly and three monthly variations, the shorter time variations, e.g. day-to-day and several days’ variations are also conspicuous. The day-to-day variations of airglow height obviously could reduce observation accuracy and lead to some deviations in FPI measurements. These FPI wind deviations arising from airglow height variations are also estimated to be about 3 - 5 m/s from 2011 to 2015, with strong positive correlation with airglow peak height variation. More attention should be paid to the wind deviations associated with airglow height variation when using and interpreting winds measured by FPI.