Research Collaborations for Better Predictions of Aviation Weather Hazards

Kim, Jung-Hoon; Lee, Danbi; Kim, Soohyun; Strahan, Matt; Pettegrew, Brian P.; Gill, Philip G.; Williams, Paul D.; Schumann, U.; Tenenbaum, J.; Lee, Young-Gon; Choi, Hee-Wook; Song, In-Sul; Park, Ye-Ji; Sharman, Robert

doi:10.1175/bams-d-17-0010.1

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…These results will aid in understanding the global turbulence characteristics that have not yet been obtained due to high costs and observational limits. These results can also be used as additional turbulence data in aviation turbulence studies (Chun et al, ), which can ultimately contribute to providing safe and economical aviation services. In addition to turbulence studies, HVRRD can be invaluable data sources in studies of gravity waves, planetary boundary layers, tropopause structures, and numerical forecasting models (Geller et al, ).…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States

Chun

Wilson

et al. 2019

JGR Atmospheres

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In this study, we estimate atmospheric turbulence in the free atmosphere in terms of the Thorpe scale (LT) and eddy dissipation rate (ε) using U.S. high vertical‐resolution radiosonde data over 4 years (September 2012 to August 2016) at 68 operational stations. In addition, same calculations are conducted for 12 years (October 2005 to September 2017) at four stations among the 68 stations. These high vertical‐resolution radiosonde data have a vertical resolution of approximately 5 m and extend to an altitude of approximately 33 km, and thus, turbulence can be retrieved in the entire troposphere and lower stratosphere. There are thicker and stronger turbulent layers in the troposphere than in the stratosphere, with mean ε values of 1.84 × 10−4 and 1.37 × 10−4 m2/s3 in the troposphere and stratosphere, respectively. The vertical structure of ε exhibits strong seasonal variations, especially in the upper troposphere and lower stratosphere, with the largest ε values in summer and the smallest in winter. In the horizontal distribution of ε, large ε is seen mainly above the mountainous region in the troposphere, but this pattern is not seen in the stratosphere. Although ε is estimated by the square of LT multiplied by the cube of the Brunt‐Väisälä frequency (N), the regions of large ε are matched with large LT regions where N is relatively small. For the time series of ε near the tropopause for 12 years at four stations, an annual variation is prominent at all stations without significant interannual variations. There is, however, a slightly increasing trend of ε at two stations.

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Section: Discussionmentioning

confidence: 99%

Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States

Chun

Wilson

et al. 2019

JGR Atmospheres

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“…A 2001 study found 46% of turbulence-related injuries among flight attendants resulted in serious injury [38]. Research efforts to better forecast turbulence are ongoing [39][40][41]. Enhanced communication and coordination with flight crew and staying seated with seatbelts fastened are effective measures to limit injuries to flight attendants during encounters with turbulence [42,43].…”

Section: Unique Circumstancesmentioning

confidence: 99%

Workers’ compensation injury claims of aviation industry worker injuries in Alaska, 2014–2015

Moller

O'Connor

Lee

et al. 2020

International Journal of Circumpolar Health

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Aviation operations in Alaska often occur in remote locations and during inclement weather. Limited infrastructure and staff in some locations often requires aviation workers to perform tasks outside of their specific job descriptions. Researchers identified workers' compensation claims as a valuable data source to characterise nonfatal injuries among Alaskan aviation workers. Keyword searches of injury claim narrative fields and industry codes were used to identify potentially aviation-related workers' compensation claims during 2014-2015. These claims were manually reviewed to verify whether aviation related and manually coded according to the US Bureau of Labour Statistics' Occupational Injury and Illness Classification System. There were 875 aviationrelated injury claims accepted during 2014-2015. Ramp/baggage/cargo agents incurred the most injuries (35%), followed by mechanics/maintenance workers (15%). Among all workers, Overexertion and Bodily Reaction (40%) was most often cited as the injury event, followed by Contact with Objects and Equipment (28%), and Falls, Slips, Trips (22%). Sprains, strains, tears were the most frequent nature of injury (55%). Cargo/freight/luggage was the most frequent source of injury (24%). The 3 most frequently identified injury event types were responsible for over 90% of all injuries, which indicates that preventive interventions should be directed towards tasks rather than occupational groups.

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“…Such severe convective weather is a particular problem for the aviation sector, where it is more likely to cause high levels of economic loss and pose relatively greater threats to the safety of the people involved. With the growth of this sector, the need for forecasting meteorological phenomena that pose such threats has increased significantly (Chun et al, 2017; Goodman & Small Griswold, 2019; Ozdemir & Deniz, 2016). Forecasting for the aviation sector is slightly different from traditional weather forecasting, as it requires an extremely high degree of accuracy for both meteorological variables and in terms of the temporal resolution (down to 1 min), in line with the Civil Aviation Forecast Specification (http://www.caac.gov.cn).…”

Section: Introductionmentioning

confidence: 99%

Multi‐source observations and high‐resolution numerical model applied on the analysis of a severe convective weather affecting the airport

Wan

Xin-hua

2021

Meteorological Applications

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In order to explore the application of multi-source data from different observational systems (including meteorological stations, radar, and airport observational reports) and high-resolution numerical model results in the analysis of severe convective weather affecting airports, a local severe convective weather event that affected Beijing Capital International Airport (ZBAA) on 26 June 2018 was studied in this work. Although there was no significant triggering of synoptic systems, the process produced a violent thunderstorm with strong wind gusts, poor prevailing visibility, and hail in just a 30-min period, resulting in severe impacts on the airport operations. In addition to the routine analysis of weather using observations from meteorological stations and radar, high spatial and temporal resolution data from instruments at the airport were used to reveal the fine-scale characteristics of the development and evolution of various associated meteorological parameters, which demonstrably served as a useful auxiliary dataset for the analysis of this event. Furthermore, the reliability of the high-resolution numerical (Weather Research and Forecasting) model simulation was evaluated by using these 1-min-scale airport observations. Based on what was judged to be a reliable simulation of the meteorological variables by the model, the trigger and strengthening mechanisms of the storm formed in this region of complex topography, as well as the interaction with another cell, were explored. The model results suggested that convections were initially triggered by the interaction of southerly flow from the plain and northwesterly flow from the mountains, in conjunction with the effect of orographic uplift. The outflow of the cold pool from the former cell prevented the later cell (affecting ZBAA) from moving east. Due to the strong vertical wind shear in the lower levels, the echo tilted to a certain extent and formed an inner secondary circulation, contributing to the maintenance and strengthening for the storm.

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Research Collaborations for Better Predictions of Aviation Weather Hazards

Cited by 13 publications

References 18 publications

Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States

Characteristics of Atmospheric Turbulence Retrieved From High Vertical‐Resolution Radiosonde Data in the United States

Workers’ compensation injury claims of aviation industry worker injuries in Alaska, 2014–2015

Multi‐source observations and high‐resolution numerical model applied on the analysis of a severe convective weather affecting the airport

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