Horizontal Correlation Functions of Wind Fluctuations in the Mesosphere and Lower Thermosphere

Measurements of kinetic energy in vortical and divergent fluctuations in the mesosphere and lower thermosphere can be used to study stratified turbulence (ST) and gravity waves. This can be done using horizontal correlation functions of the fluctuating component of velocity. This study introduces a...

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Veröffentlicht in:Journal of geophysical research. Atmospheres 2023-03, Vol.128 (6), p.n/a
Hauptverfasser: Poblet, Facundo L., Vierinen, Juha, Avsarkisov, Victor, Conte, J. Federico, Charuvil Asokan, Harikrishnan, Jacobi, Christoph, Chau, Jorge L.
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container_issue 6
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container_title Journal of geophysical research. Atmospheres
container_volume 128
creator Poblet, Facundo L.
Vierinen, Juha
Avsarkisov, Victor
Conte, J. Federico
Charuvil Asokan, Harikrishnan
Jacobi, Christoph
Chau, Jorge L.
description Measurements of kinetic energy in vortical and divergent fluctuations in the mesosphere and lower thermosphere can be used to study stratified turbulence (ST) and gravity waves. This can be done using horizontal correlation functions of the fluctuating component of velocity. This study introduces a novel method for estimating these correlation functions using radars that observe Doppler shifts of ionized specular meteor trails. The technique solves the correlation functions directly on a longitudinal‐transverse‐up coordinate system, assuming axial symmetry. This procedure is more efficient and leads to smaller uncertainties than a previous approach. The new technique is applied to a year‐long data set from a multistatic specular meteor radar network in Germany, to study the annual variability of kinetic energy within turbulent fluctuations at 87–93 km of altitude. In monthly averages, the kinetic energy is found to be nearly equipartitioned between vortical and divergent modes. Turbulent fluctuations maximize during the winter months with approximately 25% more energy in these months than at other times. The horizontal correlation functions are in agreement with the inertial subrange of ST, exhibiting a 2/3 power law in the horizontal lag direction, with an outermost scale of ST to be about 380 km. This suggests that horizontal correlation functions could be used to estimate turbulent energy transfer rates. Plain Language Summary Flows exhibit a phenomenon called turbulence, which transfers energy from large scales into smaller scales. This effect is important to quantify the energy budget of the Earth's upper atmosphere. The range of length scales where this phenomenon occurs is called the inertial subrange of turbulence. The classical theory of isotropic turbulence predicts that this energy transfer occurs on length scales smaller than ∼100 m, at 60–110 km altitude. Recent work has shown that horizontal velocity fluctuations can extend the inertial subrange to length scales of up to hundreds of kilometers horizontally. This type of turbulence is called stratified turbulence (ST). So far no comprehensive study has been made to experimentally examine ST in the mesosphere and lower thermosphere (MLT) region on horizontal mesoscales. This study introduces a method for doing so by measuring how the wind fluctuations are correlated as a function of horizontal separation. This is achieved by using meteor radar measurements. The technique is applied to a year‐lo
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The new technique is applied to a year‐long data set from a multistatic specular meteor radar network in Germany, to study the annual variability of kinetic energy within turbulent fluctuations at 87–93 km of altitude. In monthly averages, the kinetic energy is found to be nearly equipartitioned between vortical and divergent modes. Turbulent fluctuations maximize during the winter months with approximately 25% more energy in these months than at other times. The horizontal correlation functions are in agreement with the inertial subrange of ST, exhibiting a 2/3 power law in the horizontal lag direction, with an outermost scale of ST to be about 380 km. This suggests that horizontal correlation functions could be used to estimate turbulent energy transfer rates. Plain Language Summary Flows exhibit a phenomenon called turbulence, which transfers energy from large scales into smaller scales. This effect is important to quantify the energy budget of the Earth's upper atmosphere. 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source NORA - Norwegian Open Research Archives; Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection
subjects Altitude
Annual variations
Coordinate systems
Coordinates
Correlation
Correlation analysis
Datasets
Doppler effect
Doppler sonar
Eddy kinetic energy
Energy
Energy budget
Energy flow
Energy transfer
Fluctuations
Geophysics
Gravity waves
Isotropic turbulence
Kinetic energy
Lower mantle
Lower thermosphere
Mesosphere
Meteor trails
Meteors
Methods
Radar
Radar measurement
Radar networks
Thermosphere
Turbulence
Turbulent energy
Turbulent fluctuations
Upper atmosphere
Velocity
Wind fluctuations
Wind measurement
Wind variations
title Horizontal Correlation Functions of Wind Fluctuations in the Mesosphere and Lower Thermosphere
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