[go: up one dir, main page]

Bouchard et al., 2023 - Google Patents

Comparison of different forecasting tools for short-range lightning strike risk assessment

Bouchard et al., 2023

View HTML
Document ID
7342479879696546857
Author
Bouchard A
Buguet M
Chan-Hon-Tong A
Dezert J
Lalande P
Publication year
Publication venue
Natural Hazards

External Links

Snippet

Thunderstorms, the main generator of lightning on earth, are characterized by the presence of extreme atmospheric conditions (turbulence, hail, heavy rain, wind shear, etc.). Consequently, the atmospheric conditions associated with this kind of phenomenon (in …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/10Devices for predicting weather conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/95Radar or analogous systems specially adapted for specific applications for meteorological use
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003Flight plan management
    • G08G5/0039Modification of a flight plan

Similar Documents

Publication Publication Date Title
Mostajabi et al. Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques
Storer et al. Global response of clear‐air turbulence to climate change
Zhou et al. Forecast of low visibility and fog from NCEP: Current status and efforts
Zhang et al. Relationship between lightning activity and tropical cyclone intensity over the northwest Pacific
McGovern et al. Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
Boneh et al. Fog forecasting for Melbourne Airport using a Bayesian decision network
Bouchard et al. Comparison of different forecasting tools for short-range lightning strike risk assessment
Dietz et al. Forecasting low-visibility procedure states with tree-based statistical methods
Miao et al. A fuzzy logic fog forecasting model for Perth Airport
Grabbe et al. Clustering days and hours with similar airport traffic and weather conditions
Muñoz-Esparza et al. Aviation turbulence forecasting at upper levels with machine learning techniques based on regression trees
Hon et al. Machine learning based multi-index prediction of aviation turbulence over the Asia-Pacific
Michaelides et al. Monitoring and forecasting air pollution levels by exploiting satellite, ground‐based, and synoptic data, elaborated with regression models
McGovern et al. Using spatiotemporal relational random forests to improve our understanding of severe weather processes
Loi et al. Prediction of tropical cyclogenesis based on machine learning methods and its SHAP interpretation
Hu et al. Objective verification of Clear-Air Turbulence (CAT) diagnostic performance in China using in situ aircraft observation
Zhu et al. En route flight time prediction under convective weather events
Foudad et al. Past and future trends in clear‐air turbulence over the northern hemisphere
Volkova et al. Forecast of icing zones using possibilities of hydrodynamic simulation for the atmospheric boundary layer
Khattak et al. Assessment of wind shear severity in airport runway vicinity using interpretable TabNet approach and Doppler LiDAR data
da Silva et al. Forecast of convective events via hybrid model: WRF and machine learning algorithms
Liu et al. Relative importance of large‐scale environmental variables to the world‐wide variability of thunderstorms
Verlinden et al. Using the second-generation GEFS reforecasts to predict ceiling, visibility, and aviation flight category
Yang et al. Quantifying convective weather impacts to airspace capacity: framework and preliminary results
McGovern et al. Enhanced spatiotemporal relational probability trees and forests