Two years of observational data from the 532 nm Rayleigh lidar were used to study the vertical profile characteristics of atmospheric gravity wave potential energy density (GWPED) between 40–80 km above Jiuquan (40° N, 95° E) for the first time. The atmospheric gravity waves (AGWs) characteristics are presented in terms of the atmospheric relative temperature perturbation, along with the estimated annual and seasonal GWPED with high spatial and temporal resolution (0.5 km and 1 h). The annual potential energy mass density ${\mathrm{E}}_{\mathrm{pm}}$ and volume density ${\mathrm{E}}_{\mathrm{pv}}$ vertical profiles show that the GWPED in the upper mesosphere is close to the adiabatic growth rate. The seasonal vertical profiles result shows that ${\mathrm{E}}_{\mathrm{pm}}$ is higher in autumn–winter than in spring–summer in all the observed altitudes. The GWPED approaches adiabatic growth above 61 and 65 km in spring–summer and autumn–winter, respectively. The AGWs severely dissipate below the turning altitudes and transfer energy into the background atmosphere. The GWPED scale heights show that the AGWs dissipation rate of spring–summer is close to that of autumn–winter. Furthermore, based on the wind data from SD–WACCM, the influence of critical level filtering on AGWs is discussed. It plays an important role in affecting the seasonal variation in GWPED.

Rayleigh lidar data in 2013–2015 is used to describe the characteristics of gravity wave potential energy density in the mesosphere above Golmud (36.25° N, 94.54° E) of the Tibetan Plateau. In this study, the vertical profiles of the atmospheric gravity wave potential energy density between 50–80 km above the region are presented, including the potential energy mass density ${\mathrm{E}}_{\mathrm{pm}}$ and the potential energy volume density ${\mathrm{E}}_{\mathrm{pv}}$. It shows the mathematical characteristics of the atmospheric gravity wave potential energy density vertical distribution, which also indicate the gravity waves are obviously dissipated in the lower mesosphere and close to conservative growth in the upper mesosphere (the turning point is around 61 km). A total of 1174 h of data covers seasonal changes, which reveals the seasonal characteristics of the potential energy density. The ${\mathrm{E}}_{\mathrm{pm}}$ increases faster with altitude in summer than others. All seasons of the potential energy density profiles show that gravity waves are dissipated in the lower mesosphere, among which spring and winter are the most severe and summer is weakest. The ${\mathrm{E}}_{\mathrm{pm}}$ is higher in spring and winter below 55 km. Above 55 km, it is the maximum in winter, followed by summer. Then, the AGWs activities between the location with mid–latitudes and different longitudes are compared and discussed.

An NSFC (National natural Science Foundation of China) funded research facility aims to deepen our understanding about the interactions within neutral atmosphere layers, i.e., Planetary Boundary layer (PBL), Upper Troposphere-Lower Stratosphere (UT-LS), stratosphere, Mesopause and Lower Thermosphere (MLT), as well as the response of atmospheric processes to solar activities from the top, and the natural and anthropogenic influences from the Earth surface.

From Aug. 2013 to Oct. 2015, a Rayleigh lidar has been used to study the middle atmosphere at Golmud (36.25°N, 94.54°E), Qinghai, located in the northeastern part of the Tibetan Plateau. Mesospheric density profiles from 50 to 90 km were retrieved based on 205 nights of lidar observation, with a total of 1616 hours of operation. We compared our lidar density measurements with SABER observations onboard TIMED satellite and MSIS-00 model data. The results showed that the annual mean density measured by lidar agreed well with SABER data, but both were lower than that of MSIS-00. All datasets exhibited dominant annual oscillation in the mesosphere. From 63 to 85 km, the annual amplitude of lidar density is larger than those of SABER and MSIS-00. PDD (Percentage of Density Difference) was calculated to investigate the mesospheric density climatology. The largest density variations of lidar, MSIS-00, and SABER occurred at around 72 km. Both lidar and SABER PDD reached their maximum in May, about one month earlier than the MSIS-00; while the minimum PDD appeared in late December for all datasets.