Atmospheric Gravity Waves: Processes and Parameterization

U. Achatz, M. J. Alexander, Erich Becker, Hye-Yeong Chun, Andreas Dörnbrack, Laura Holt, R. Plougonven, I. Polichtchouk, Kaoru Sato, Aditi Sheshadri, C. Stephan, A. van Niekerk, C. Wright
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Abstract

Atmospheric predictability from sub-seasonal 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 inter-comparisons 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.
大气重力波:过程与参数化
从亚季节到季节时间尺度的大气可预测性和气候多变性都受到重力波(GW)的重要影响。区域和全球数值模式的质量有赖于对重力波动力学及其与化学、降水、云和气候在许多尺度上的相互作用的透彻理解。在可预见的未来,GWs 及其他许多相关过程仍有部分尚未解决,模式将继续依赖参数化。最近的模式相互比较和研究表明,目前的全球变暖参数化并不能准确地代表全球变暖过程。这些缺陷给预测气候变化对重要变率模式的影响等带来了不确定性。然而,过去十年来,新数据的产生以及理论和数值发展的进步有望改善这一状况。本综述对这些发展进行了概述,讨论了全球变暖参数化的现状,并就如何继续发展提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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