24th Digital Avionics Systems Conference
DOI: 10.1109/dasc.2005.1563338
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Wind Dependent Concepts for Wake Avoidance: A Comparative Analysis of Capacity Benefits and Implementation Risks

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Cited by 4 publications
(4 citation statements)
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“…While the benefits in flow management, flight path selection, and fuel saving in the en-route environment easily follow from increased fidelity of weather data, numerous terminal area concepts are in development that would have a significant impact on closing the airport capacity gap between visual condition and radar-separated operations, the primary driver of NAS delays (2). These applications pertain to terminal area operations and wake turbulence mitigation (4,5). The temporal and spatial scales of hazardous aircraft wake turbulence are dependent on ambient atmospheric conditions.…”
Section: Motivationsmentioning
confidence: 99%
“…While the benefits in flow management, flight path selection, and fuel saving in the en-route environment easily follow from increased fidelity of weather data, numerous terminal area concepts are in development that would have a significant impact on closing the airport capacity gap between visual condition and radar-separated operations, the primary driver of NAS delays (2). These applications pertain to terminal area operations and wake turbulence mitigation (4,5). The temporal and spatial scales of hazardous aircraft wake turbulence are dependent on ambient atmospheric conditions.…”
Section: Motivationsmentioning
confidence: 99%
“…The author focuses on comparing the relative benefits during a variety of complex arrival configurations and fleet mix choices but ignores the stochasticity of required wind conditions. Lunsford et al (17) also developed Monte Carlo simulation techniques to quantify a variety of single runway and CSPR arrival scenarios. They addressed wind dependency through selecting a priori airport-dependent wind threshold values based on airfield geometry and determined the associated benefits.…”
Section: Background and Literaturementioning
confidence: 99%
“…The data values constitute a set of hourly wind speed and direction vectors along a vertical column geographically located at the center of the airfield for each of the airports. [20]. IGE winds were measured from the surface to approximately 250 ft above ground level (AGL) and aloft winds were measured from approximately 400 ft. to 2000 ft. AGL.…”
Section: Availability Of the Paired Approach Proceduresmentioning
confidence: 99%
“…It is generally understood that wakes in ground effect will initially drift apart due to interaction with the ground. The wakes are expected to initially drift outward at approximately 3 kts for Large category aircraft (e.g., B737) and 4 kts for Heavy category aircraft (e.g., DC10) [18][19][20][21]. There are also large scale eddy simulation results [18]that show that for prediction of how long a wake will take to transport to a specific distance, the wake self-transport contribution is overwhelmed by wind transport and ground effects, resulting in smaller wake transport distances for a given time.…”
Section: Availability Of the Paired Approach Proceduresmentioning
confidence: 99%