2021
DOI: 10.1029/2021jd034643
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Modeling Responses of Polar Mesospheric Clouds to Gravity Wave and Instability Dynamics and Induced Large‐Scale Motions

Abstract: A gravity wave (GW) model that includes influences of temperature variations and large‐scale advection on polar mesospheric cloud (PMC) brightness having variable dependence on particle radius is developed. This Complex Geometry Compressible Atmosphere Model for PMCs (CGCAM‐PMC) is described and applied here for three‐dimensional (3‐D) GW packets undergoing self‐acceleration (SA) dynamics, breaking, momentum deposition, and secondary GW (SGW) generation below and at PMC altitudes. Results reveal that GW packet… Show more

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Cited by 16 publications
(28 citation statements)
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“…Our results discussed here and by F22 will hopefully prove beneficial in guiding developments and evaluations of new parameterizations of these various dynamics in middle and whole atmosphere GCMs. One example that is clearly of major importance is SGW generation, given its demonstrated roles in KMCM, despite coarse resolution, and regional models revealing these dynamics to arise easily and naturally for localized GWs (Dong et al., 2020, 2021; Fritts et al., 2020; L20, F21). Initial approximations to SGW generation due to 3‐D body forcing (i.e., Luo & Fritts, 1993; Vadas & Fritts, 2001, 2002; Vadas et al., 2003) were based on linear theory that captures an important element of these dynamics, specifically forcing by induced local mean winds.…”
Section: Implications For Global Modeling Of Gravity Wave Dynamics An...mentioning
confidence: 99%
See 3 more Smart Citations
“…Our results discussed here and by F22 will hopefully prove beneficial in guiding developments and evaluations of new parameterizations of these various dynamics in middle and whole atmosphere GCMs. One example that is clearly of major importance is SGW generation, given its demonstrated roles in KMCM, despite coarse resolution, and regional models revealing these dynamics to arise easily and naturally for localized GWs (Dong et al., 2020, 2021; Fritts et al., 2020; L20, F21). Initial approximations to SGW generation due to 3‐D body forcing (i.e., Luo & Fritts, 1993; Vadas & Fritts, 2001, 2002; Vadas et al., 2003) were based on linear theory that captures an important element of these dynamics, specifically forcing by induced local mean winds.…”
Section: Implications For Global Modeling Of Gravity Wave Dynamics An...mentioning
confidence: 99%
“…KMCM, HIAMCM, WACCM, and WACCM-X resolutions enable SGW generation due to large-scale body forcing accompanying nonlinear interactions among large-scale GWs having their amplitudes constrained by parameterization of dissipation due to smaller-scale, unresolved instability dynamics at lower altitudes. However, these model resolutions currently preclude descriptions of much stronger body forcing of SGWs by small-scale GW packets, and their SA dynamics, often occurring on spatial scales of ∼70-200 km in the thermosphere accompanying high-resolution modeling (e.g., Dong et al, 2020Dong et al, , 2021Fritts et al, 2020;L20) and seen for smaller Δx in Figures 6-8.…”
Section: Implications For Global Modeling Of Gravity Wave Dynamics An...mentioning
confidence: 99%
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“…Also addressed by a broad community spanning many years were interactions and instabilities accounting for GW dissipation driving energy and pseudo‐momentum flux divergence enabling these influences (e.g., Achatz, 2005, 2007; Andreassen et al., 1998, 1994; Bourgeat et al., 2013; Fritts & Rastogi, 1985; Fritts et al., 2017, 2009; Sutherland, 2013). Among the more recent results of such studies was the recognition of strong GW/mean‐flow interactions yielding “self‐acceleration” (SA) dynamics (Dong et al., 2020, 2021; Fritts et al., 2020, 2015; Scinocca & Sutherland, 2010). These comprise strong local body forcing and SA instabilities that drive secondary GWs (SGWs) arising at larger and smaller scales at higher altitudes, for which there is now additional modeling and observational evidence (Becker & Vadas, 2018, 2020; Dong et al., 2021; Lund et al., 2020).…”
Section: Introductionmentioning
confidence: 99%