Articles | Volume 15, issue 7
https://doi.org/10.5194/amt-15-2277-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2277-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2022
Research article |
| 14 Apr 2022
| 14 Apr 2022
Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data
Soo-Hyun Kim
School of Earth and Environmental Sciences, Seoul National University,
Seoul, South Korea
Jeonghoe Kim
School of Earth and Environmental Sciences, Seoul National University,
Seoul, South Korea
School of Earth and Environmental Sciences, Seoul National University,
Seoul, South Korea
Hye-Yeong Chun
Department of Atmospheric Sciences, Yonsei University, Seoul, South
Korea
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Cited
22 citations as recorded by crossref.
- Analysis of the Quality of Meteorological Measurements of a Certain Type of Commercial Aircraft Between Hong Kong and Shanghai M. Chong et al. https://doi.org/10.3390/app16136482
- An Exploratory Study on the Use of Root-Mean-Square Vertical Acceleration Data from Aircraft for the Detection of Low-Level Turbulence at an Operating Airport C. Leung et al. https://doi.org/10.3390/app15168974
- Enhancing air traffic safety through clear-air turbulence prediction and trajectory optimisation C. Zhu et al. https://doi.org/10.1016/j.trc.2026.105791
- Physics-informed in situ predictive turbulence estimation using atmosphere–aircraft coupling features Z. Zhuang et al. https://doi.org/10.1016/j.measurement.2026.121891
- Investigation of Aviation Turbulence in Different Air Traffic Control Zones across China J. Shao et al. https://doi.org/10.1007/s13351-025-5251-6
- Developing an aircraft takeoff mass estimation model based on the hybrid KMI-DNN-BI model using quick access recorder (QAR) data B. Wang et al. https://doi.org/10.1016/j.ast.2024.109918
- A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. https://doi.org/10.3390/atmos14050797
- Real-Time Early Identification of Atmospheric Turbulence Using Flight Sensor Data T. Li et al. https://doi.org/10.2514/1.D0391
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. https://doi.org/10.5194/acp-24-10323-2024
- Eddy Dissipation Rate in Aviation Applications for Estimation of Turbulence Intensity A. Ivanova https://doi.org/10.3103/S1068373925130059
- A 25-year journey in Quick Access Recorder (QAR) data: A thematic review of analytics for aircraft safety, efficiency, and health management E. Turgut https://doi.org/10.1016/j.paerosci.2026.101204
- High‐Resolution Aircraft Observations of Turbulence and Waves in the Free Atmosphere and Comparison With Global Model Predictions A. Dörnbrack et al. https://doi.org/10.1029/2022JD036654
- Climatology of Clear‐Air Turbulence in Upper Troposphere and Lower Stratosphere in the Northern Hemisphere Using ERA5 Reanalysis Data J. Lee et al. https://doi.org/10.1029/2022JD037679
- Comparison of Eddy Dissipation Rate Estimated From Operational Radiosonde and Commercial Aircraft Observations in the United States H. Ko et al. https://doi.org/10.1029/2023JD039352
- A More Detailed Analysis of a Microscale Vortex near Hong Kong During the Passage of a Cold Front on the Evening of 2 March 2026 M. Chong et al. https://doi.org/10.3390/atmos17060548
- Risk assessment method for controlled flight into terrain of airlines based on QAR data C. Guo et al. https://doi.org/10.1108/AEAT-10-2022-0269
- An Observational Study of a Severe Squall Line Crossing Hong Kong on 15 March 2025 Based on Radar-Retrieved Three-Dimensional Winds and Flight Data P. Chan et al. https://doi.org/10.3390/app15158562
- Observation and Numerical Simulation of a Microburst Encounter by an Arriving Aircraft at Hong Kong International Airport During Intense Convective Weather on August 14, 2025 M. Chong et al. https://doi.org/10.1155/adme/2584412
- Identification of Airline Turbulence Using WOA-CatBoost Algorithm in Airborne Quick Access Record (QAR) Data Z. Zhuang et al. https://doi.org/10.3390/app14114419
- Long-term variations of cloud top patterns associated with heavy rainfall over the Korean peninsula H. Song https://doi.org/10.1016/j.ejrh.2023.101337
- A mission fuel performance model based on hybrid flight physics and QAR data Z. Wu et al. https://doi.org/10.1007/s42401-024-00338-6
- Inertial Subrange Optimization in Eddy Dissipation Rate Estimation and Aircraft-Dependent Bumpiness Estimation Z. Gao et al. https://doi.org/10.3390/aerospace12040293
22 citations as recorded by crossref.
- Analysis of the Quality of Meteorological Measurements of a Certain Type of Commercial Aircraft Between Hong Kong and Shanghai M. Chong et al. https://doi.org/10.3390/app16136482
- An Exploratory Study on the Use of Root-Mean-Square Vertical Acceleration Data from Aircraft for the Detection of Low-Level Turbulence at an Operating Airport C. Leung et al. https://doi.org/10.3390/app15168974
- Enhancing air traffic safety through clear-air turbulence prediction and trajectory optimisation C. Zhu et al. https://doi.org/10.1016/j.trc.2026.105791
- Physics-informed in situ predictive turbulence estimation using atmosphere–aircraft coupling features Z. Zhuang et al. https://doi.org/10.1016/j.measurement.2026.121891
- Investigation of Aviation Turbulence in Different Air Traffic Control Zones across China J. Shao et al. https://doi.org/10.1007/s13351-025-5251-6
- Developing an aircraft takeoff mass estimation model based on the hybrid KMI-DNN-BI model using quick access recorder (QAR) data B. Wang et al. https://doi.org/10.1016/j.ast.2024.109918
- A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. https://doi.org/10.3390/atmos14050797
- Real-Time Early Identification of Atmospheric Turbulence Using Flight Sensor Data T. Li et al. https://doi.org/10.2514/1.D0391
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. https://doi.org/10.5194/acp-24-10323-2024
- Eddy Dissipation Rate in Aviation Applications for Estimation of Turbulence Intensity A. Ivanova https://doi.org/10.3103/S1068373925130059
- A 25-year journey in Quick Access Recorder (QAR) data: A thematic review of analytics for aircraft safety, efficiency, and health management E. Turgut https://doi.org/10.1016/j.paerosci.2026.101204
- High‐Resolution Aircraft Observations of Turbulence and Waves in the Free Atmosphere and Comparison With Global Model Predictions A. Dörnbrack et al. https://doi.org/10.1029/2022JD036654
- Climatology of Clear‐Air Turbulence in Upper Troposphere and Lower Stratosphere in the Northern Hemisphere Using ERA5 Reanalysis Data J. Lee et al. https://doi.org/10.1029/2022JD037679
- Comparison of Eddy Dissipation Rate Estimated From Operational Radiosonde and Commercial Aircraft Observations in the United States H. Ko et al. https://doi.org/10.1029/2023JD039352
- A More Detailed Analysis of a Microscale Vortex near Hong Kong During the Passage of a Cold Front on the Evening of 2 March 2026 M. Chong et al. https://doi.org/10.3390/atmos17060548
- Risk assessment method for controlled flight into terrain of airlines based on QAR data C. Guo et al. https://doi.org/10.1108/AEAT-10-2022-0269
- An Observational Study of a Severe Squall Line Crossing Hong Kong on 15 March 2025 Based on Radar-Retrieved Three-Dimensional Winds and Flight Data P. Chan et al. https://doi.org/10.3390/app15158562
- Observation and Numerical Simulation of a Microburst Encounter by an Arriving Aircraft at Hong Kong International Airport During Intense Convective Weather on August 14, 2025 M. Chong et al. https://doi.org/10.1155/adme/2584412
- Identification of Airline Turbulence Using WOA-CatBoost Algorithm in Airborne Quick Access Record (QAR) Data Z. Zhuang et al. https://doi.org/10.3390/app14114419
- Long-term variations of cloud top patterns associated with heavy rainfall over the Korean peninsula H. Song https://doi.org/10.1016/j.ejrh.2023.101337
- A mission fuel performance model based on hybrid flight physics and QAR data Z. Wu et al. https://doi.org/10.1007/s42401-024-00338-6
- Inertial Subrange Optimization in Eddy Dissipation Rate Estimation and Aircraft-Dependent Bumpiness Estimation Z. Gao et al. https://doi.org/10.3390/aerospace12040293
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
The cube root of the energy dissipation rate (EDR), as a standard reporting metric of atmospheric turbulence, is estimated using 1 Hz commercial quick access recorder data from Korean-based national air carriers with two different types of aircraft. Various EDRs are estimated using zonal, meridional, and derived vertical wind components and the derived equivalent vertical gust. Characteristics of the observed EDR estimates using 1 Hz flight data are examined to observe strong turbulence cases.
The cube root of the energy dissipation rate (EDR), as a standard reporting metric of...
