A Moving Path Tracking Method of the Thunderstorm Cloud Based on the Three‐Dimensional Atmospheric Electric Field Apparatus

Yang, Xu; Xing, Hongyan; Xu, Wanyue; Ji, Xinyuan

doi:10.1155/2021/8856033

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…Weather conditions are made up of several different variables that are constantly changing, such as temperature (maximum or minimum), relative humidity, precipitation, etc. With the help of statistics or other techniques, such as machine learning and deep learning, this creates a time series for each parameter that may be used to create a prediction model [11].…”

Section: Methodsmentioning

confidence: 99%

Thunderstorms Prediction Using Satellite Images

Amjad¹,

Malik²,

Ghous³

et al. 2023

ijisct

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Human life and property are put at risk by lightning, heavy hail, and strong winds caused by thunderstorms. Accurate prediction of thunderstorms has long been a difficult problem. In difference from conventional methods, the modern methods for predicting thunderstorms utilize a combination of computer models, observation (via the use of radars and satellite photos), and modern knowledge and patterns employed by thunderstorms stations. Observations: Using these methods, it is possible to make reasonably accurate predictions. Prediction models based on complex formulas run the majority of forecasting computer models. Artificial neural networks, machine learning, deep learning, and statistics are all examples of adaptive systems that alter their structure in response to information flowing through the network. In this reviewed paper, different Artificial intelligence techniques are used such as machine learning, deep learning, and ANN (Artificial neural network). Different statistical models were presented to predict thunderstorm systems. Various researchers achieved technical milestones by presenting statistical methods on thunderstorm systems using satellite data.

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Section: Methodsmentioning

confidence: 99%

Thunderstorms Prediction Using Satellite Images

Amjad¹,

Malik²,

Ghous³

et al. 2023

ijisct

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“…Scholars such as Litta et al [4] and Collins and Tissot [5] believe that the artificial neural network (ANN) model is an effective modeling method for predicting the movement trend of thunderstorm clouds, which can predict the thunderstorm movement in this study. Ivanova [6], Yang et al [7], and other scholars analyzed the characteristics, movement, modeling methods, constraint conditions, and movement prediction ideas of thunderstorm weather based on historical sample data, demonstrating that 3D spatial modeling is reliable for thunderstorm weather prediction. The above researches made effort to use long-term thunderstorm data samples for processing and conducted detailed analysis on the temperature and water density inside the thunderstorm.…”

Section: State Of the Artmentioning

confidence: 99%

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Lu,

Lai

2024

International Journal of Aerospace Engineering

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Thunderstorms are recognized as perilous meteorological phenomena characterized by irregular and nonlinear movement, posing significant risks to approaching aircraft and necessitating technical methods to ensure safety to the aviation operations. This research specifically addresses the challenges associated with aircraft during the approach segment and introduces a multialgorithmic model focusing on the optimization of 4D approach trajectory. Firstly, the artificial neural network intelligent model was used to predict the thunderstorm movement track. Secondly, the multialgorithmic model combined by the rapidly exploring random tree with artificial potential field was built to plan the trajectory of the approaching aircraft under thunderstorm weather, and then, the mean filter was adopted to smooth the simulated approaching trajectory. Finally, the reliability of the model with a real case study was demonstrated. After optimized simulation by predicting the thunderstorm weather and trajectory-optimized multialgorithmic model mentioned above, the approach trajectory can be outputted successfully, but with some distortions, postprocessing with the mean filter results in a remarkably smooth approach trajectory, providing enhanced feasibility and efficiency for pilots navigating through thunderstorm weather conditions. It is ultimately proved that refined 4D trajectory operations under hazardous weather conditions hold substantial significance in advancing aviation safety and operational effectiveness.

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“…These two distances take different paths with obstacles. The following introduction will compare in detail the two heuristic functions andnd make an improvement on the A* algorithm by resetting the heuristic function if necessary (Hongyan et al, 2021).…”

Section: First Improvement Of the A* Algorithmmentioning

confidence: 99%

Research on optimization of approach procedures for airports in an alpine environment

Lu,

Lai,

Jiang

et al. 2024

Front. Environ. Sci.

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Obstacles in alpine environments pose significant challenges to aircraft safety during terminal operations. Key challenges include constraints from obstacles within the terminal clearance area and the labor-intensive manual calculations of flight procedures. The focal point of concern lies in the design of approach procedures, particularly due to the heightened risk of collisions with obstacles during the descent segment in such terrain. To address these challenges, initially, this paper proposes processing the terrain data and visualizing and extracting the topographic data of the alpine airport by adopting a bi-cubic b-spline interpolation and cellular automatic machine model. Then, the paper proposes improving the A* path algorithm to make sure it can obey the standards of flight procedure design, utilizing the improved A* path algorithm to design approach procedures. As fuel consumption is directly connected with the economy of aviation companies, this research finally suggests employing the fuel consumption evaluation model to select the most efficient approach flight procedures. This research takes a case study of a Yunnan airport and simulates and designs the optimized approach procedures by A* path algorithm and evaluation based on fuel consumption. Results indicate that the parameters of optimized approach procedures align with the regulation of flight procedure design and meet the requirements of real flight operation. Therefore, the core tenant of this research can provide a feasible idea for flight procedures with alpine airports and has the potential to reduce workload and enhance operational efficiency.

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A Moving Path Tracking Method of the Thunderstorm Cloud Based on the Three‐Dimensional Atmospheric Electric Field Apparatus

Cited by 7 publications

References 23 publications

Thunderstorms Prediction Using Satellite Images

Thunderstorms Prediction Using Satellite Images

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Research on optimization of approach procedures for airports in an alpine environment

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