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@ARTICLE{Xu:1020214,
      author       = {Xu, Shuang and Carstens, Justin N. and France, Jeff A. and
                      Randall, Cora E. and Yue, Jia and Harvey, V. Lynn and Gong,
                      Jie and Lumpe, Jerry and Hoffmann, Lars and Russell, James
                      M.},
      title        = {{S}easonal {D}istribution of {G}ravity {W}aves {N}ear the
                      {S}tratopause in 2019–2022},
      journal      = {Earth and Space Science},
      volume       = {11},
      number       = {1},
      issn         = {2333-5084},
      address      = {Malden, Mass.},
      publisher    = {American Geophysical Union},
      reportid     = {FZJ-2023-05881},
      pages        = {e2023EA003076},
      year         = {2024},
      abstract     = {The cloud imaging and particle size (CIPS) instrument
                      onboard the Aeronomy of Ice in the Mesosphere satellite
                      provides images of gravity waves (GWs) near the stratopause
                      and lowermost mesosphere (altitudes of 50–55 km). GW
                      identification is based on Rayleigh Albedo Anomaly (RAA)
                      variances, which are derived from GW-induced fluctuations in
                      Rayleigh scattering at 265 nm. Based on 3 years of CIPS RAA
                      variance data from 2019 to 2022, we report for the first
                      time the seasonal distribution of GWs entering the
                      mesosphere with high (7.5 km) horizontal resolution on a
                      near-global scale. Seasonally averaged GW variances clearly
                      show spatial and temporal patterns of GW activity, mainly
                      due to the seasonal variation of primary GW sources such as
                      convection, the polar vortices and flow over mountains.
                      Measurements of stratospheric GWs derived from Atmospheric
                      InfraRed Sounder (AIRS) observations of 4.3 μm brightness
                      temperature perturbations within the same 3-year time range
                      are compared to the CIPS results. The comparisons show that
                      locations of GW hotspots are similar in the CIPS and AIRS
                      observations. Variability in GW variances and the monthly
                      changes in background zonal wind suggest a strong GW-wind
                      correlation. This study demonstrates the utility of the CIPS
                      GW variance data set for statistical investigations of GWs
                      in the lowermost mesosphere, as well as provides a reference
                      for location/time selection for GW case studies.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001132904600001},
      doi          = {10.1029/2023EA003076},
      url          = {https://juser.fz-juelich.de/record/1020214},
}