Subir Mandal

and 5 more

We investigated the variability of short-period (<1 hour) atmospheric gravity waves (AGWs) in the high-latitude mesosphere-lower-thermosphere/ionosphere (MLTI) region using OH (3,1) band emission data from the Advanced Mesospheric Temperature Mapper (AMTM) at the Arctic Lidar Observatory for Middle Atmosphere Research (ALOMAR) in Norway. These OH intensity maps from January 2014, 2015, and 2016 were analysed to characterise AGW activity at these altitudes. We derived phase velocity spectra of AGWs by applying the Matsuda-transform to the OH intensity maps and calculated spectral power across different phase speed ranges and propagation directions to study the day-to-day and intraday variability of AGWs. Our results reveal significant differences in AGW activity between these years, with 2015 exhibiting lower spectral power and less variability compared to 2014 and 2016. The vertical propagation efficiency of AGWs was estimated using principles of critical-level filtering, incorporating winds from the ERA5 dataset for altitudes between 0–50 km. The relatively lower AGW activity and spectral power observed in the MLTI region in 2015 were associated with higher Arctic Oscillation (AO) index values, suggesting gravity wave filtering by eastward winds in the upper stratosphere. In contrast, lower AO index values in 2014 and 2016 indicated minimal filtering, leading to more diverse spectra of AGWs observed in the OH images. These findings highlight the strong influence of stratospheric wind structures on AGW variability in the high-latitude MLTI region during winter.

Phoebe E Noble

and 7 more

During winter, the latitude belt at 60S is one of the most intense hotspots of stratospheric gravity wave (GW) activity. However, producing accurate representations of GW dynamics in this region in numerical models has proved exceptionally challenging. One reason for this is that questions remain regarding the relative contributions of different orographic and non-orographic sources of GWs here. We use 3-D satellite GW observations from the Atmospheric InfraRed Sounder (AIRS) from winter 2012 in combination with the Gravity-wave Regional Or Global Ray Tracer (GROGRAT) to backwards ray trace GWs to their sources. We trace over 14.2 million rays, which allows us to investigate GW propagation and to produce systematic estimates of the relative contribution of orographic and non-orographic sources to the total observed stratospheric GW momentum flux in this region. We find that in winter 56% of momentum flux (MF) traces back to the ocean and 44% to land, despite land representing less than a quarter of the region’s area. This demonstrates that, while orographic sources contribute much more momentum flux per unit area, the large spatial extent of non-orographic sources leads to a higher overall contribution. The small islands of Kerguelen and South Georgia specifically contribute up to 1.6% and 0.7% of average monthly stratospheric MF, and the intermittency of these sources suggests that their short-timescale contribution is even higher. These results provide the important insights needed to significantly advance our knowledge of the atmospheric momentum budget in the Southern polar region.
The solar tides of the mesosphere and lower thermosphere (MLT) show great variability on timescales of days to years, with significant variability at interannual timescales. However, the nature and causes of this variability remain poorly understood. Here, we present measurements made over the interval 2005 to 2020 of the interannual variability of the 12-hour tide as measured at heights of 80 to 100 km by a meteor radar over Rothera (68S, 68W). We use a linear regression analysis to investigate correlations between the 12-hour tidal amplitudes and several climate indices, specifically the solar cycle (as measured by F10.7 solar flux), El Niño Southern Oscillation (ENSO), the Quasi-Biennial Oscillation (QBO) at 10 hPa and 30 hPa and the Southern Annular Mode (SAM). Our observations reveal that the 12-hour tide has a large amplitude and a clearly defined seasonal cycle with monthly mean values as large as 35 ms-1. We observe substantial interannual variability, with monthly mean 12-hour tidal amplitudes at 95 km exhibiting a two standard-deviation range (2σ) in spring of 13.4 ms-1, 11.2 ms-1in summer, 18.6 ms-1 in autumn and 7.0 ms-1 in winter. We find that F10.7, QBO10, QBO30 and SAM all have significant correlations to the 12-hour tidal amplitudes at the 95% level, with a linear trend also present. Whereas we detect very minimal correlation with ENSO. These results suggest that variations in F10.7, the QBO and SAM may contribute significantly to the interannual variability of 12-hour tidal amplitudes in the Antarctic MLT.