2023
DOI: 10.1029/2022gl102674
|View full text |Cite
|
Sign up to set email alerts
|

Gravity Waves Emitted From Kelvin‐Helmholtz Instabilities

Abstract: It has been recognized for many years that gravity waves (GWs) play fundamental roles in a wide range of atmospheric processes from the surface to very high altitudes (Fritts & Alexander, 2003). Understanding these processes and their influences requires more complete quantification of the mechanisms by which GWs are generated, together with their characteristics, distributions, and responses in a wide range of environments. Of the recognized GW sources, secondary GWs (GWs) are important because they extend th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
11
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(11 citation statements)
references
References 30 publications
0
11
0
Order By: Relevance
“…We explore here the potential of CAM‐Net for modeling GWs emitted from KHI described by Dong et al. (2023). We use CGCAM to generate training and testing data for CAM‐Net.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We explore here the potential of CAM‐Net for modeling GWs emitted from KHI described by Dong et al. (2023). We use CGCAM to generate training and testing data for CAM‐Net.…”
Section: Resultsmentioning
confidence: 99%
“…We employ the Complex Geometry Compressible Atmospheric Model (CGCAM) to create the training datasets for CAM-Net. CGCAM is a finite volume model that has been used extensively to study GW dynamics and their instabilities in the Mesosphere and Lower Thermosphere (MLT) at very high resolution (see, e.g., Dong et al, 2020Dong et al, , 2021Dong et al, , 2022Dong et al, , 2023Fritts et al, 2020Fritts et al, , 2021Fritts et al, , 2022aFritts et al, , 2022bLund et al, 2020). CAM-Net is based on the Adaptive Fourier NO (AFNO) proposed by Guibas et al, 2021.…”
Section: Method: Compressible Atmospheric Model Network (Cam-net)mentioning
confidence: 99%
“…There is a compensating inflow below the outflow layer in P‐SI, which is absent in P‐RI. The vertical shear of the radial speed along the interface is ∼7 m s −1 km −1 in P‐SI, which is larger than that in P‐RI (<3 m s −1 km −1 ), and the large shear may generate the GWs (Dong et al., 2023; Fritts, 1982; Fritts & David, 1984). The azimuth‐mean profiles of the hourly precipitation during each period are shown as green lines in Figures 2c and 2d.…”
Section: Radial Distribution Of Sgwsmentioning
confidence: 99%
“…In addition to the diabatic heating and mechanical oscillation resulting from convection around the eyewall and rainband, the role of radial wind vertical shear (urz $\frac{\partial {u}_{r}}{\partial z}$) caused by the TC outflow layer should not be ignored above the rainband because urz0 $\frac{\partial {u}_{r}}{\partial z}\ne 0$ is a necessary condition for K–H instability. The threshold of the K–H instability is that the Richardson number should be larger than 0 but less than 0.25 (Dong et al., 2023). The areas where there is always K–H instability at each hour throughout P‐SI are shown by green shading in Figure 5c.…”
Section: Generation Mechanism Of Sgwsmentioning
confidence: 99%
“…Gravity waves (GWs) have a crucial function in atmospheric processes from the ground to higher altitudes. To gain insights into these processes and their impacts on background atmosphere, it is essential to quantify the mechanisms of GW generation as well as their characteristics, distributions, and responses in various environments [1,2]. Of the recognized mechanisms that generate and propagate GWs, the GW-Shear interaction is quite important.…”
Section: Introductionmentioning
confidence: 99%