Eddy Diffusivities for Momentum and Heat in the Upper Troposphere and Lower Stratosphere Measured by MU Radar and RASS, and a Comparison of Turbulence Model Predictions

Ueda, Hiromasa; Fukui, Tetsuo; Kajino, Mizuo; Horiguchi, Masahiro; Hashiguchi, Hiroyuki; Fukao, S.

doi:10.1175/jas-d-11-023.1

Cited by 13 publications

(4 citation statements)

References 34 publications

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“…MU radar at Shigaraki Japan [34.9°N, 136.1°E] reported these values to vary from 10 −3 to 10 −1 m 2 /s 3 and 10 to 10 2 m 2 /s for ε and K , respectively (Ueda et al, 2012). MST radar at Andoya, Norway, (69.0°N, 16.0°E) has found ε to vary from 10 −4 to 10 –2.5 m 2 /s 3 in the lower atmosphere (Li et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

Estimation of Turbulence Parameters Using ARIES ST Radar and GPS Radiosonde Measurements: First Results From the Central Himalayan Region

et al. 2020

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Turbulence in the atmosphere plays a vital role in controlling the surface, lower and upper tropospheric dynamics. Here, we have utilized a newly installed Aryabhatta Research Institute of Observational Sciences (ARIES) Stratosphere Troposphere (ST) radar at the high‐altitude subtropical site in the central Himalayan region (Nainital, 29.4°N, 79.5°E, 1793 m above mean sea level) for the first ever estimation of turbulence parameters from this unique location. We have used radar observations made in years 2017 and 2019 with simultaneous and colocated global positioning system (GPS) radiosonde observations. In this context, turbulence parameters like turbulent kinetic energy dissipation rate, and eddy diffusion coefficient due to thermal and momentum fluctuations, have been determined by using (i) wind variance, (ii) Doppler spectral width, and (iii) backscatter signal power methods as well as synergistic radiosonde measurements using Thorpe length scale method. The kinetic energy dissipation rate and eddy diffusivity coefficients were found to be as high as 10−2 m2/s3 and 102.6 m2/s, respectively. Statistical distribution of turbulence parameters derived from radar and radiosonde was found to agree reasonably well in terms of measures of central tendency. The refractive index structure constant (Cn2) shows a decreasing tendency with height, and it is found to vary as large as 10−14 to as small as 10−19 m−2/3. Range and temporal variation of signal‐to‐noise ratio (SNR) indicated the existence of a stable layer around 8 km height. It is also evident from the present study that the turbulence parameters at this central Himalayan region of complex terrain are higher by 1 order of magnitude than those reported from the southern part of India.

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Section: Resultsmentioning

confidence: 99%

Estimation of Turbulence Parameters Using ARIES ST Radar and GPS Radiosonde Measurements: First Results From the Central Himalayan Region

et al. 2020

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“…The turbulent diffusion coefficient k f in the free troposphere is assumed to be constant throughout the free troposphere. The reported values for turbulence in the free troposphere vary strongly between 0.01 and 100 m 2 s −1 (Wilson, 2004;Ueda et al, 2012). An example of the resulting profile of the turbulent diffusion coefficient as defined through Eq.…”

Section: Turbulent Diffusion Coefficientmentioning

confidence: 99%

On the contribution of chemical oscillations to ozone depletion events in the polar spring

et al. 2019

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Abstract. This paper presents a numerical study of the oscillations (or recurrences) of tropospheric ozone depletion events (ODEs) using the further-developed one-dimensional KInetic aNALysis of reaction mechanics with Transport (KINAL-T) chemistry transport model. Reactive bromine is the major contributor to the occurrence of ODEs. After the termination of an ODE, the reactive bromine in the air is deposited onto aerosols or on the snow surface, and the ozone may regenerate via NOx-catalyzed photochemistry or by turbulent transport from the free troposphere into the boundary layer. The replenished ozone then is available for the next cycle of autocatalytic bromine release (bromine explosion) leading to another ODE. The oscillation periods are found to be as short as 5 d for the purely chemically NOx-driven oscillation and 30 d for a diffusion-driven oscillation. An important requirement for oscillation of ODEs to occur is found to be a sufficiently strong inversion layer. In a parameter study, the dependence of the oscillation period on the nitrogen oxides' concentration, the inversion layer strength, the ambient temperature, the aerosol density, and the solar radiation is investigated. Parameters controlling the oscillation of ODEs are discussed.

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Section: Turbulent Diffusion Coefficientmentioning

confidence: 99%

Modeling and Numerical Simulation of the Recurrence of Ozone Depletion Events in the Arctic Spring

Herrmann

Cao

Sihler

et al. 2019

Preprint

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Abstract. This paper presents a numerical study of the recurrences (or oscillations) of tropospheric ozone depletion events, ODEs, using the further developed one-dimensional chemistry transport model KINAL-T. Reactive bromine is the major contributor to the occurrence of ODEs. After the termination of an ODE, the reactive bromine in the air is deposited onto aerosols or on the snow surface, and the ozone may regenerate via NOx-catalyzed photochemistry or by turbulent transport from the free troposphere into the boundary layer. The replenished ozone then is available for the next cycle of autocatalytic bromine release (bromine explosion) leading to another ODE. The recurrence periods are found to be as low as five days for the purely chemically NOx-driven oscillation and 30 days for a diffusion-driven recurrence. An important requirement for recurrences of ODEs to occur is found to be a sufficiently strong inversion layer. In a parameter study, the dependence of the recurrence period on the nitrogen oxides concentration, the inversion layer strength, the ambient temperature, the aerosol density, and the solar radiation is investigated. Parameters controlling the recurrence of ODEs are discussed.

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Eddy Diffusivities for Momentum and Heat in the Upper Troposphere and Lower Stratosphere Measured by MU Radar and RASS, and a Comparison of Turbulence Model Predictions

Cited by 13 publications

References 34 publications

Estimation of Turbulence Parameters Using ARIES ST Radar and GPS Radiosonde Measurements: First Results From the Central Himalayan Region

Estimation of Turbulence Parameters Using ARIES ST Radar and GPS Radiosonde Measurements: First Results From the Central Himalayan Region

On the contribution of chemical oscillations to ozone depletion events in the polar spring

Modeling and Numerical Simulation of the Recurrence of Ozone Depletion Events in the Arctic Spring

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