An analysis and enhanced proposal of atmospheric boundary layer wind modelling techniques for automation of air traffic management

Gonzalo, Jesús; Domínguez, Diego; López, Deibi; García-Gutiérrez, Adrián

doi:10.1016/j.cja.2020.12.008

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…The model executions are carried out in three nested domains with resolutions of 6 km (outermost domain), 3 km (middle domain), and 1.5 km (innermost domain), always fed by a global weather forecast such as the high-resolution Global Ensemble Forecast System (GEFS) [ 26 ]. The model configuration adopted for this study is supported by several years of experience in optimizing mesoscale models for wind engineering applications conducted by the research group [ 33 , 34 ]. The Mellor–Yamada–Nakanishi–Niino (MYNN) [ 35 ] level 2.5 scheme is used in combination with the MYNN surface layer, and the Noah land surface model is used as the planetary boundary layer.…”

Section: Methodsmentioning

confidence: 99%

Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements

García-Gutiérrez

López

Domínguez

et al. 2023

Sensors

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This paper introduces a novel methodology that estimates the wind profile within the ABL by using a neural network along with predictions from a mesoscale model in conjunction with a single near-surface measurement. A major advantage of this solution compared to other solutions available in the literature is that it requires only near-surface measurements for prediction once the neural network has been trained. An additional advantage is the fact that it can be potentially used to explore the time evolution of the wind profile. Data collected by a LiDAR sensor located at the University of León (Spain) is used in the present research. The information obtained from the wind profile is valuable for multiple applications, such as preliminary calculations of the wind asset or CFD modeling.

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Section: Methodsmentioning

confidence: 99%

Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements

García-Gutiérrez

López

Domínguez

et al. 2023

Sensors

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“…Despite the greatest efforts in recent years to improve weather forecasts, the uncertainties that still exist must be considered [2,3]. In addition, new challenges arise from climatic changes, extreme weather conditions, strong wind shear at low altitudes [4,5], lateral boundary perturbations [6], or general hazardous meteorological conditions [7] that require variation or extension of previous models [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Explainable Self-Enforcing Networks Using the ICON-D2-Ensemble Prediction System for Runway Configurations

Zinkhan,

Greisbach,

Zurmaar

et al. 2023

Itise 2023

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“…In other words, ATCs' primary tasks of ensuring flight safety and creating an efficient and orderly traffic flow can be achieved through the effective provision of flight information. An example from a similar study is the provision of atmospheric meteorological conditions using automation to aid ATCs in providing meteorological information to high-flying aircraft in a specific atmospheric region [10]. The study explains that the use of automation effectively assists both pilots and ATCs in providing useful information for flight safety.…”

Section: Introductionmentioning

confidence: 99%

Utilization Of Automation In Providing Flight Information At The Aerodrome Control Tower Unit

Mutiara Ayu Umi Hanifah,

Djoko Jatmoko,

Umi Salamah

2023

JITCSE

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This journal discusses the analysis of automation needs for the Air Traffic Controller (ATC) in the Aerodrome Control Tower unit in providing information to improve air traffic services for aerodrome traffic. The research was conducted by analyzing data and information obtained from ATC and air operators. Besides that, it also analyzes problems in the field that hinder the efficiency of the process of providing information from ATC to air operators (pilots). The analytical method used is SWOT analysis by considering internal and external factors to develop an effective strategy. The results of the study show that the existence of automation is significantly needed to increase the time efficiency of ATC in providing flight information. With automation, the provision of information can be carried out quickly and accurately to increase efficiency and safety in air traffic services. Therefore, this journal provides useful insights into improving the quality of ATC services by utilizing automation technology.

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An analysis and enhanced proposal of atmospheric boundary layer wind modelling techniques for automation of air traffic management

Cited by 9 publications

References 40 publications

Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements

Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements

Intrinsic Explainable Self-Enforcing Networks Using the ICON-D2-Ensemble Prediction System for Runway Configurations

Utilization Of Automation In Providing Flight Information At The Aerodrome Control Tower Unit

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