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Atmospheric Gravity Waves: Processes and Parameterization

  • Ulrich Achatz
  • , M. Joan Alexander
  • , Erich Becker
  • , Hye Yeong Chun
  • , Andreas Dörnbrack
  • , Laura Holt
  • , Riwal Plougonven
  • , Inna Polichtchouk
  • , Kaoru Sato
  • , Aditi Sheshadri
  • , Claudia Christine Stephan
  • , Annelize Van Niekerk
  • , Corwin J. Wright
  • Goethe University Frankfurt am Main
  • NorthWest Research Associates, Inc.
  • Yonsei University
  • DLR
  • European Centre for Medium-Range Weather Forecasts
  • University of Tokyo
  • Stanford University
  • Max Planck Institute for Meteorology
  • University of Bath

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

Résumé

Atmospheric predictability from subseasonal to seasonal time scales and climate variability are both influenced critically by gravity waves (GW). The quality of regional and global numerical models relies on thorough understanding of GW dynamics and its interplay with chemistry, precipitation, clouds, and climate across many scales. For the foreseeable future, GWs and many other relevant processes will remain partly unresolved, and models will continue to rely on parameterizations. Recent model intercomparisons and studies show that present-day GW parameterizations do not accurately represent GW processes. These shortcomings introduce uncertainties, among others, in predicting the effects of climate change on important modes of variability. However, the last decade has produced new data and advances in theoretical and numerical developments that promise to improve the situation. This review gives a survey of these developments, discusses the present status of GW parameterizations, and formulates recommendations on how to proceed from there.

langue originaleAnglais
Pages (de - à)237-262
Nombre de pages26
journalJournal of the Atmospheric Sciences
Volume81
Numéro de publication2
Les DOIs
étatPublié - 1 févr. 2024

SDG des Nations Unies

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  1. SDG 13 - Action climatique
    SDG 13 Action climatique

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