Articles | Volume 15, issue 4
https://doi.org/10.5194/acp-15-2159-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-2159-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparing turbulent parameters obtained from LITOS and radiosonde measurements
A. Schneider
CORRESPONDING AUTHOR
Leibniz Institute of Atmospheric Physics at the University of Rostock, Kühlungsborn, Germany
M. Gerding
Leibniz Institute of Atmospheric Physics at the University of Rostock, Kühlungsborn, Germany
F.-J. Lübken
Leibniz Institute of Atmospheric Physics at the University of Rostock, Kühlungsborn, Germany
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Cited
22 citations as recorded by crossref.
- Numerical Modeling of Multiscale Dynamics at a High Reynolds Number: Instabilities, Turbulence, and an Assessment of Ozmidov and Thorpe Scales D. Fritts et al. 10.1175/JAS-D-14-0343.1
- Latitudinal and Topographical Variabilities of Free Atmospheric Turbulence From High‐Resolution Radiosonde Data Sets J. Zhang et al. 10.1029/2018JD029982
- Comparison of Eddy Dissipation Rate Estimated From Operational Radiosonde and Commercial Aircraft Observations in the United States H. Ko et al. 10.1029/2023JD039352
- Small-Scale Wind Fluctuations in the Tropical Tropopause Layer from Aircraft Measurements: Occurrence, Nature, and Impact on Vertical Mixing A. Podglajen et al. 10.1175/JAS-D-17-0010.1
- “Contrasting features of tropospheric turbulence over the Indian peninsula” M. Muhsin et al. 10.1016/j.jastp.2019.105179
- The First Observation of Turbulence in Northwestern China by a Near-Space High-Resolution Balloon Sensor Y. He et al. 10.3390/s20030677
- In-Situ Turbulence and Particulate Measurements in Support of the BOLT II Flight Experiment D. Lawrence et al. 10.2514/1.A36034
- Tropospheric Turbulence over the Tropical Open Ocean: Role of Gravity Waves H. Bellenger et al. 10.1175/JAS-D-16-0135.1
- Potential sources of atmospheric turbulence estimated using the Thorpe method and operational radiosonde data in the United States H. Ko & H. Chun 10.1016/j.atmosres.2021.105891
- Inertia-gravity wave energy and instability drive turbulence: evidence from a near-global high-resolution radiosonde dataset J. Zhang et al. 10.1007/s00382-021-06075-2
- Characteristics of turbulence in the troposphere and lower stratosphere over the Indian Peninsula S. Sunilkumar et al. 10.1016/j.jastp.2015.07.015
- Direct Numerical Simulation Guidance for Thorpe Analysis to Obtain Quantitatively Reliable Turbulence Parameters L. Wang et al. 10.1175/JTECH-D-18-0225.1
- Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway Q. Li et al. 10.5194/angeo-34-1209-2016
- Case study of wave breaking with high-resolution turbulence measurements with LITOS and WRF simulations A. Schneider et al. 10.5194/acp-17-7941-2017
- Estimation of Turbulence Parameters in the Lower Troposphere from ShUREX (2016–2017) UAV Data H. Luce et al. 10.3390/atmos10070384
- Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States H. Ko et al. 10.1029/2019JD030287
- Characteristic Analysis of Relationship Between Precipitation and Turbulence in the Troposphere and Lower Stratosphere Over Tropical Western Pacific Z. Qin et al. 10.1029/2022EA002487
- Evaluation of wake influence on high-resolution balloon-sonde measurements J. Faber et al. 10.5194/amt-12-4191-2019
- Assessment of the Precision of Spectral Model Turbulence Analysis Techniques Using Direct Numerical Simulation Data B. Strelnikov et al. 10.1029/2021JD035516
- Spatiotemporal characteristics of atmospheric turbulence over China estimated using operational high-resolution soundings Y. Lv et al. 10.1088/1748-9326/abf461
- Vertical Spectra of Temperature in the Free Troposphere at Meso-and-Small Scales According to the Flow Regime: Observations and Interpretation R. Wilson et al. 10.3390/atmos9110415
- High-resolution observations and modeling of turbulence sources, structures, and intensities in the upper mesosphere D. Fritts et al. 10.1016/j.jastp.2016.11.006
21 citations as recorded by crossref.
- Numerical Modeling of Multiscale Dynamics at a High Reynolds Number: Instabilities, Turbulence, and an Assessment of Ozmidov and Thorpe Scales D. Fritts et al. 10.1175/JAS-D-14-0343.1
- Latitudinal and Topographical Variabilities of Free Atmospheric Turbulence From High‐Resolution Radiosonde Data Sets J. Zhang et al. 10.1029/2018JD029982
- Comparison of Eddy Dissipation Rate Estimated From Operational Radiosonde and Commercial Aircraft Observations in the United States H. Ko et al. 10.1029/2023JD039352
- Small-Scale Wind Fluctuations in the Tropical Tropopause Layer from Aircraft Measurements: Occurrence, Nature, and Impact on Vertical Mixing A. Podglajen et al. 10.1175/JAS-D-17-0010.1
- “Contrasting features of tropospheric turbulence over the Indian peninsula” M. Muhsin et al. 10.1016/j.jastp.2019.105179
- The First Observation of Turbulence in Northwestern China by a Near-Space High-Resolution Balloon Sensor Y. He et al. 10.3390/s20030677
- In-Situ Turbulence and Particulate Measurements in Support of the BOLT II Flight Experiment D. Lawrence et al. 10.2514/1.A36034
- Tropospheric Turbulence over the Tropical Open Ocean: Role of Gravity Waves H. Bellenger et al. 10.1175/JAS-D-16-0135.1
- Potential sources of atmospheric turbulence estimated using the Thorpe method and operational radiosonde data in the United States H. Ko & H. Chun 10.1016/j.atmosres.2021.105891
- Inertia-gravity wave energy and instability drive turbulence: evidence from a near-global high-resolution radiosonde dataset J. Zhang et al. 10.1007/s00382-021-06075-2
- Characteristics of turbulence in the troposphere and lower stratosphere over the Indian Peninsula S. Sunilkumar et al. 10.1016/j.jastp.2015.07.015
- Direct Numerical Simulation Guidance for Thorpe Analysis to Obtain Quantitatively Reliable Turbulence Parameters L. Wang et al. 10.1175/JTECH-D-18-0225.1
- Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway Q. Li et al. 10.5194/angeo-34-1209-2016
- Case study of wave breaking with high-resolution turbulence measurements with LITOS and WRF simulations A. Schneider et al. 10.5194/acp-17-7941-2017
- Estimation of Turbulence Parameters in the Lower Troposphere from ShUREX (2016–2017) UAV Data H. Luce et al. 10.3390/atmos10070384
- Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States H. Ko et al. 10.1029/2019JD030287
- Characteristic Analysis of Relationship Between Precipitation and Turbulence in the Troposphere and Lower Stratosphere Over Tropical Western Pacific Z. Qin et al. 10.1029/2022EA002487
- Evaluation of wake influence on high-resolution balloon-sonde measurements J. Faber et al. 10.5194/amt-12-4191-2019
- Assessment of the Precision of Spectral Model Turbulence Analysis Techniques Using Direct Numerical Simulation Data B. Strelnikov et al. 10.1029/2021JD035516
- Spatiotemporal characteristics of atmospheric turbulence over China estimated using operational high-resolution soundings Y. Lv et al. 10.1088/1748-9326/abf461
- Vertical Spectra of Temperature in the Free Troposphere at Meso-and-Small Scales According to the Flow Regime: Observations and Interpretation R. Wilson et al. 10.3390/atmos9110415
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Short summary
Stratospheric turbulence is essential for the atmospheric energy budget. We compare in situ observations with our LITOS method based on spectral analysis of mm-scale wind fluctuations with the Thorpe method applied to standard radiosondes. Energy dissipations rates from both methods differ by up to 3 orders of magnitude. Nevertheless, mean values are in good agreement. We present case studies on both methods and examine the applicability of the Thorpe method for calculation of dissipation rates.
Stratospheric turbulence is essential for the atmospheric energy budget. We compare in situ...
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