TY - JOUR
T1 - Atmospheric Gravity Waves
T2 - Processes and Parameterization
AU - Achatz, Ulrich
AU - Alexander, M. Joan
AU - Becker, Erich
AU - Chun, Hye Yeong
AU - Dörnbrack, Andreas
AU - Holt, Laura
AU - Plougonven, Riwal
AU - Polichtchouk, Inna
AU - Sato, Kaoru
AU - Sheshadri, Aditi
AU - Stephan, Claudia Christine
AU - Van Niekerk, Annelize
AU - Wright, Corwin J.
N1 - Publisher Copyright:
© 2024 American Meteorological Society.
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
KW - Atmosphere
KW - Climate models
KW - Gravity waves
KW - Numerical weather prediction/forecasting
KW - Subgrid-scale processes
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U2 - 10.1175/JAS-D-23-0210.1
DO - 10.1175/JAS-D-23-0210.1
M3 - Review article
AN - SCOPUS:85184999823
SN - 0022-4928
VL - 81
SP - 237
EP - 262
JO - Journal of the Atmospheric Sciences
JF - Journal of the Atmospheric Sciences
IS - 2
ER -