21 citations as recorded by crossref.

1. Temperature changes due to gravity wave saturation H. Liu https://doi.org/10.1029/2000JD900054
2. Tides in the mesopause region over Fort Collins, Colorado (41°N, 105°W) based on lidar temperature observations covering full diurnal cycles C. She et al. https://doi.org/10.1029/2001JD001189
3. Review of mesospheric temperature trends G. Beig et al. https://doi.org/10.1029/2002RG000121
4. Comment on “A comparison of atmospheric tides inferred from observations at the mesopause during ALOHA‐93 with the model predictions of the TIME‐GCM” by J. H. Hecht et al. R. Akmaev https://doi.org/10.1029/1999JD900134
5. Model study of the influence of atmospheric waves on variations of upper atmosphere and ionosphere parameters during a meteorological storm on May 29, 2017 Y. Kurdyaeva et al. https://doi.org/10.1016/j.asr.2024.05.062
6. Vertical Shears of Horizontal Winds in the Lower Thermosphere Observed by ICON S. England et al. https://doi.org/10.1029/2022GL098337
7. Middle atmosphere background climatology from a simple circulation model C. Jacobi et al. https://doi.org/10.1016/j.asr.2006.02.077
8. Gravity wave influence on the global structure of the diurnal tide in the mesosphere and lower thermosphere D. Ortland & M. Alexander https://doi.org/10.1029/2005JA011467
9. On the energetics of mean‐flow interactions with thermally dissipating gravity waves R. Akmaev https://doi.org/10.1029/2006JD007908
10. A study into the effects of gravity wave activity on the diurnal tide and airglow emissions in the equatorial mesosphere and lower thermosphere using the Coupled Middle Atmosphere and Thermosphere (CMAT) general circulation model S. England et al. https://doi.org/10.1016/j.jastp.2005.05.006
11. Modeling diurnal tidal variability with the National Center for Atmospheric Research thermosphere‐ionosphere‐mesosphere‐electrodynamics general circulation model M. Hagan & R. Roble https://doi.org/10.1029/2001JA000057
12. Planetary scale and tidal perturbations in mesospheric temperature observed by WINDII M. Shepherd et al. https://doi.org/10.1186/BF03353218
13. A prototype upper-atmospheric data assimilation scheme based on optimal interpolation: 1. Theory R. Akmaev https://doi.org/10.1016/S1364-6826(99)00006-1
14. Simulation of large‐scale dynamics in the mesosphere and lower thermosphere with the Doppler‐spread parameterization of gravity waves: 1. Implementation and zonal mean climatologies R. Akmaev https://doi.org/10.1029/2000JD900520
15. Coupled Generation of Acoustic and Gravity Waves by Tropospheric Heat Sources S. Kshevetskii et al. https://doi.org/10.1134/S1990793123050238
16. WHOLE ATMOSPHERE MODELING: CONNECTING TERRESTRIAL AND SPACE WEATHER R. Akmaev https://doi.org/10.1029/2011RG000364
17. Impact of the May 2017 Meteorological Storm in Moscow Oblast on Variations in the Parameters of the Upper Atmosphere Y. Kurdyaeva et al. https://doi.org/10.1134/S1062873823705603
18. The HAMMONIA Chemistry Climate Model: Sensitivity of the Mesopause Region to the 11-Year Solar Cycle and CO2 Doubling H. Schmidt et al. https://doi.org/10.1175/JCLI3829.1
19. Remote sensing of mesospheric temperature and O2(1Σ) band volume emission rates with the high‐resolution Doppler imager D. Ortland et al. https://doi.org/10.1029/97JD02794
20. A prototype upper-atmospheric data assimilation scheme based on optimal interpolation: 2. Numerical experiments R. Akmaev https://doi.org/10.1016/S1364-6826(99)00007-3
21. Simulation of large‐scale dynamics in the mesosphere and lower thermosphere with the Doppler‐spread parameterization of gravity waves: 2. Eddy mixing and the diurnal tide R. Akmaev https://doi.org/10.1029/2000JD900519