从对流层到中间层/低层热层(MLT)的内在可预测性

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
H. Garny
{"title":"从对流层到中间层/低层热层(MLT)的内在可预测性","authors":"H. Garny","doi":"10.1029/2025JD043363","DOIUrl":null,"url":null,"abstract":"<p>The atmosphere's flow becomes unpredictable beyond a certain time due to the inherent growth of small initial-state errors. While many research studies have focused on tropospheric predictability, predictability of the middle atmosphere remains less studied. This work contrasts the intrinsic predictability of different layers, with a focus on the mesosphere/lower thermosphere (MLT, 50–120 km altitude). Ensemble simulations with the UA-ICON model for an austral winter/spring season are conducted with a gravity-wave-permitting horizontal resolution of 20 km. Initially small perturbations grow fastest in the MLT, reaching 10% of saturation after 5–6 days, compared to 10 days in the troposphere and 2 weeks in the stratosphere. A saturation level of 50% is reached only after about 2 weeks in the MLT, similar to the troposphere. Saturation times are overestimated in a coarser resolution model (grid size 160 km) by up to a factor of two, highlighting the need for gravity wave-resolving models. Predictability in the MLT depends on horizontal scales. Motions on scales of hundreds of kilometers are predictable for less than 5 days, while larger scales (thousands of kilometers) remain predictable for up to 20 days. This scale-dependent progression of predictability cannot be explained by simple scaling for upscale error growth. Vertical wave propagation plays a significant role, with gravity waves transmitting perturbations upward at early lead times and planetary waves enhancing long-term predictability. In summary, the study shows that MLT predictability is scale-dependent and highlights the necessity of high-resolution models to capture fast-growing perturbations and assess intrinsic predictability limits accurately.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"130 13","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025JD043363","citationCount":"0","resultStr":"{\"title\":\"Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)\",\"authors\":\"H. Garny\",\"doi\":\"10.1029/2025JD043363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The atmosphere's flow becomes unpredictable beyond a certain time due to the inherent growth of small initial-state errors. While many research studies have focused on tropospheric predictability, predictability of the middle atmosphere remains less studied. This work contrasts the intrinsic predictability of different layers, with a focus on the mesosphere/lower thermosphere (MLT, 50–120 km altitude). Ensemble simulations with the UA-ICON model for an austral winter/spring season are conducted with a gravity-wave-permitting horizontal resolution of 20 km. Initially small perturbations grow fastest in the MLT, reaching 10% of saturation after 5–6 days, compared to 10 days in the troposphere and 2 weeks in the stratosphere. A saturation level of 50% is reached only after about 2 weeks in the MLT, similar to the troposphere. Saturation times are overestimated in a coarser resolution model (grid size 160 km) by up to a factor of two, highlighting the need for gravity wave-resolving models. Predictability in the MLT depends on horizontal scales. Motions on scales of hundreds of kilometers are predictable for less than 5 days, while larger scales (thousands of kilometers) remain predictable for up to 20 days. This scale-dependent progression of predictability cannot be explained by simple scaling for upscale error growth. Vertical wave propagation plays a significant role, with gravity waves transmitting perturbations upward at early lead times and planetary waves enhancing long-term predictability. In summary, the study shows that MLT predictability is scale-dependent and highlights the necessity of high-resolution models to capture fast-growing perturbations and assess intrinsic predictability limits accurately.</p>\",\"PeriodicalId\":15986,\"journal\":{\"name\":\"Journal of Geophysical Research: Atmospheres\",\"volume\":\"130 13\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025JD043363\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research: Atmospheres\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2025JD043363\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2025JD043363","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

由于固有的小初始状态误差的增长,超过一定时间后大气的流动变得不可预测。虽然许多研究集中在对流层的可预测性上,但对中层大气的可预测性研究较少。这项工作对比了不同层的内在可预测性,重点是中间层/低层热层(MLT, 50-120 km高度)。用UA-ICON模式进行了南方冬季/春季的整体模拟,重力波允许的水平分辨率为20 km。最初,MLT中的小扰动增长最快,5-6天后达到饱和的10%,而对流层为10天,平流层为2周。在MLT中,大约2周后就达到50%的饱和水平,类似于对流层。在粗分辨率模型(网格大小160公里)中,饱和时间被高估了两倍,这突出了对重力波分辨模型的需求。MLT的可预测性取决于水平尺度。数百公里尺度上的运动在不到5天的时间内可以预测,而更大尺度(数千公里)的运动可以预测长达20天。这种依赖于尺度的可预测性的进展不能用简单的缩放来解释高级误差增长。垂直波传播起着重要的作用,重力波在提前时间向上传播扰动,行星波增强了长期的可预测性。总之,该研究表明,MLT的可预测性依赖于尺度,并强调了高分辨率模型捕捉快速增长的扰动和准确评估内在可预测性极限的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)

Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)

The atmosphere's flow becomes unpredictable beyond a certain time due to the inherent growth of small initial-state errors. While many research studies have focused on tropospheric predictability, predictability of the middle atmosphere remains less studied. This work contrasts the intrinsic predictability of different layers, with a focus on the mesosphere/lower thermosphere (MLT, 50–120 km altitude). Ensemble simulations with the UA-ICON model for an austral winter/spring season are conducted with a gravity-wave-permitting horizontal resolution of 20 km. Initially small perturbations grow fastest in the MLT, reaching 10% of saturation after 5–6 days, compared to 10 days in the troposphere and 2 weeks in the stratosphere. A saturation level of 50% is reached only after about 2 weeks in the MLT, similar to the troposphere. Saturation times are overestimated in a coarser resolution model (grid size 160 km) by up to a factor of two, highlighting the need for gravity wave-resolving models. Predictability in the MLT depends on horizontal scales. Motions on scales of hundreds of kilometers are predictable for less than 5 days, while larger scales (thousands of kilometers) remain predictable for up to 20 days. This scale-dependent progression of predictability cannot be explained by simple scaling for upscale error growth. Vertical wave propagation plays a significant role, with gravity waves transmitting perturbations upward at early lead times and planetary waves enhancing long-term predictability. In summary, the study shows that MLT predictability is scale-dependent and highlights the necessity of high-resolution models to capture fast-growing perturbations and assess intrinsic predictability limits accurately.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信