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AeroMetSci-2024 | Presentations

Activity Areas (1)

Aviation
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21 to 25 October 2024 | WMO Headquarters, Geneva, Switzerland

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Provisional Programme

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Oral Presentations

Session 1: Science underpinning meteorological observations, nowcasting and deterministic and probabilistic forecasts

ItemTitle (click to view short abstract)Presented byAffiliationPresentation (click to view slides)
1.1Real-Time Detection and characterisation of Trapped Lee Waves Using Deep Learning in the Iceland-Greenland RegionBriola, E.Danish Meteorological Institute[Link]
1.2Spatiotemporal Characteristics and Prediction of Aviation Turbulence Based on Eddy Dissipation Rates in ChinaXuewei, C.China Meteorological Administration[Link]
1.3Enhancing confidence in the climatological distribution of aviation turbulence through a careful re-evaluation of AMDAR turbulence report statisticsKaluza, T.University of Reading, UK[Link]
1.4Spatial Patterns of Turbulence near ThunderstormsHitchcock, S.University of Oklahoma, USA[Link]
1.5Insights from Aviation Research and Development Project Phase 2 (AvRDP-2): HKG and SIN Airport PairNg, Y. L. and Lim, G.Hong Kong Observatory and Meteorological Service Singapore[Link]
1.6Machine Learning for Convective NowcastingBartholomew, C.Met Office and University of Leeds, UK[Link]
1.7AI Convection PredictionMartinez, I. and Brunori, D.Applied Innovative Methods, Spain[Link]
1.8Aircraft Icing Microphysical Characteristics and Supercooled Large Droplets Potential for Continental Stratiform Clouds in Different Pollution Backgrounds during Winter in ChinaLi, B. China Meteorological Administration[Link]
1.9The Future of Global Airframe Icing Forecasting at the UK Met Office: Exploring Probabilistic Options and Exploiting Machine LearningCanning, M.Met Office, UK[Link]
1.10A Forecasting Tool for Ice Crystal IcingKalinka, F.Deutscher Wetterdienst (DWD), Germany[Link]
1.11Operational Applications and Impacts of Aircraft-Based ObservationsWagner, T.University of Wisconsin, USA[Link]
1.12Using machine learning to enhance wind and visibility predictions at Zurich AirportWehrli, K and Barras, H. (helene.barras@meteoswiss.ch; kathrin.wehrli@meteoswiss.ch)MeteoSwiss, Switzerland[Available upon request, contact authors]
1.13Low-cost Probabilistic Forecasting System for Low-Visibility Conditions using Analog EnsembleBari, D.General Directorate of Meteorology, Morocco[Link]
1.14The Meteowiz System: Advancing Meteorological Operations for Enhanced Aviation Safety in a Changing ClimateOkanlawon, A. A.NiMet, Nigeria[Link]
1.15The Meteo-France research strategy regarding aviation applications for 2030Plu, M.Météo-France[Link]

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Session 2: Impact-based information and decision support services for aviation

ItemTitle (click to view short abstract)Presented byAffiliationPresentation (click to view slides)
2.1MET service provision in the course of time - a daring look into the crystal ballBucher-Studer, K.MeteoSwiss, Switzerland[Link]
2.2Status of Aviation Weather in the Cockpit - today and tomorrow: ways forwardSievers, K.International Federation of Air Line Pilots' Associations (IFALPA)[Link]
2.3Delta Meteorology - An Operational PerspectiveWeston, W. (warren.weston@delta.com)Delta Air Lines, USA[Contact author for more information]
2.4Commercial Meteorological Solutions to Tackle Adverse WeatherGrasselt, R.Leonardo Germany GmbH[Link]
2.5The European Meteorological Aircraft Derived Data Centre (EMADDC)Sondij, J.Koninklijk Nederlands Meteorologisch Instituut (KNMI), Netherlands[Link]
2.6Development and Evaluation of the Local Aviation Model Output Statistics Program (LAMP) for Major Airports in South Korea Using the Artificial Intelligent TechniquesKim. J-H.Seoul National University, Republic of Korea[Link]
2.7Impact-based meteorological information to support ATM operation – present and futureIkeda, M.Japan Meteorological Agency[Link]
2.8Development of EPS fields for Aviation by Meteorological Service of CanadaSmith, H.Meteorological Service of Canada[Link]
2.9Enhancing Volcanic Ash Forecasting: Integrating Ensemble Predictions and Impact-Based Decision Support for AviationDacre, H.University of Reading, UK[Link]
2.10Map Risk For Volcanic Ash Monitoring: Case Study of Mount Lewotobi Laki-laki, IndonesiaSiregar, D.Badan Meteorologi, Klimatologi dan Geofisika (BMKG), Indonesia[Link]
2.11Support of Future Aviation Users Needs through a tailored Scientific ApproachFox, S. for Rennie, G.International Air Transport Association (IATA)[Link]
2.12Optimizing Flight Safety and Economy with Deep Learning-Based Take-off Data PredictionsShankar, A.India Meteorological Department[Link]
2.13Aviation weather services in Tanzania: Different means of production and dissemination of aviation forecasts to users of aeronautical meteorological information at airports between developed and developing countriesKavishe, G.Tanzania Meteorological Authority[Link]

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Session 3: Science to understand the impacts of climate change on aviation and aviation environmental issues

ItemTitle (click to view short abstract)Presented byAffiliationPresentation (click to view slides)
3.1Impact of climate change and variability on aviation: review of latest resultsPadhra, A. and Beckmann, B-R.British Airways/University of Cambridge, UK and DWD, Germany[Link]
3.2Climate change impact on aviation - An Airframer perspectiveWetterwald, M.Airbus Operation SAS, France[Link]
3.3The impacts of climate change on aviation operations: storms and high-altitude windsBurbidge, R.Eurocontrol, Belgium[Link]
3.4Clear-air turbulence in a changing climateWilliams, P. D.University of Reading, UK[Link]
3.5Climate Changes at the Aerodromes in the Russian Federation from the beginning of the 21st CenturyIvanova, A.Hydrometeorological Research Center, Russian Federation[Link]
3.6Potential LLWS Projections for Kalimantan's Aviation Sector under Future Climate Scenarios in IndonesiaFirdaus, P.Badan Meteorologi, Klimatologi dan Geofisika (BMKG), Indonesia[Link]
3.7Requirements for MET Services informing on climate effects which aim to enable alternative climate-optimized trajectoriesMatthes, S.German Aerospace Center (DLR), Germany[Link]
3.8Evaluating forecasts for navigational contrail avoidance: how bad is good enough?Dean, T.Breakthrough Energy, USA[Link]
3.9Identifying characteristic synoptical weather patterns providing large mitigation potentials for aviation induced non-CO2 effectsDietmüller, S.German Aerospace Center (DLR), Germany[Link]
3.10Predicting Ice SuperSaturated Regions and persistent contrail formation using weather data and validating with in-flight observationsMackay, C.Airbus, France[Link]
3.11Insights from IAGOS long-term routine in-situ measurements into vertical distribution and trends of Relative Humidity and ice-supersaturated air masses in the northern mid-latitudesRohs, S., Forschungszentrum Jülich GmbH, Germany[Link]
3.12Analysis on the Synoptic Classification of Thunderstorm Gale in Jiangbei Airport from 2001 to 2020 based on Self-Organizing MapWu, S.Civil Aviation Administration of China[Link]
3.13Extreme temperature and rainfall changes at Entebbe international Airport: Implications for Aviation sectorAribo. L.Uganda National Meteorological Authority[Link]
3.14Quantifying increased aircraft take-off distances under climate change at European airportsWilliams, J.University of Reading, UK[Link]
3.15Aircraft Engine Dust Ingestion at Global AirportsRyder, C.University of Reading, UK[Link]

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Poster Presentations

Session 1: Science underpinning meteorological observations, nowcasting and deterministic and probabilistic forecasts

ItemTitle (click to view short abstract)Presented byAffiliationPoster (click to view)
P1.1SIGWX Objects - Development of automated WAFS Significant Weather ChartsAnderson, G.Met Office, UK[Link]
P1.2Aviation end-users products based on the use of ensemble forecasts at Météo-FranceCrispel, P.Météo-France[Link]
P1.3Estimation of Aviation Turbulence Using Operational High-Vertical Resolution Radiosonde Data and Comparison with In-Situ Flight EDRKim, J-H. for Chun, H-Y.Yonsei University, Republic of Korea[Link]
P1.4Development of probabilistic turbulence forecasts at the UK Met OfficeTurp, D. Met Office, UK[Link]
P1.5Development of multi-model and multi-diagnostic ensemble (MMDE)-based probabilistic turbulence forecast using the KMA’s operational NWP modelsLee, D-B.Seoul National University, Republic of Korea[Link]
P1.6A verification strategy evaluating the Convective Scale Ensemble Prediction System forecasts for clear air turbulence over South AfricaSmith, L.South African Weather Service[Link]
P1.7Physic-informed AI for low-level windshear nowcasting and wind field reconstructionSan, B-K.Universidad Carlos III de Madrid, Spain[Link]
P1.8Development of an hourly probabilistic forecast of runway headwind change due to diurnal effect of sunshine in Hong Kong International AirportChan, Y.C.Hong Kong Observatory[Link]
P1.9Application Evaluation of FY-4B AGRI Convective Initiation Products in Eastern ChinaHan, B.National Satellite Meteorological Centre, China[Link]
P1.10Forecast for Deep Convective Area (DCA) and Simplified Forecast for Icing Potential (SFIP) Optimized in Korea and East Asia Using Global Numerical Weather Prediction ModelsKim, J-H.Seoul National University, Republic of Korea[Link]
P1.11Freezing Rain Detection and Reporting by Novel Ceilometer and Forward Scatter SensorKajava, A.Vaisala Oyj, Finland[Link]
P1.12Improving Aeronautical Visibility and Marginal Visibility (Runway Visual Range) Reporting: A Hybrid Deep Learning ApproachShankar, A.India Meteorological Department[Link]
P1.13Data driven model for nowcasting fog/visibility at Delhi International AirportBallav, S. India Meteorological Department[Link]
P1.14Airport visibility prediction using AIManzano, N.Applied Innovative Methods, Spain[Link]
P1.15Dust and SO2 propagation prediction using AIManzano, N.Applied Innovative Methods, Spain[Link]
P1.16Improving Severe Weather Nowcasting with New Vaisala Dial Atmospheric ProfilerKajava, A.Vaisala Oyj, Finland[Link]
P1.17A Refined System for Airport Weather Forecasting in ChinaMai, Z.National Meteorological Centre, China Meteorological Administration[Link]
P1.18Semi automation of terminal aerodrome forecastsLanyon, A.Met Office, UK[Link]
P1.19Nowcasts for airports and terminal areasIkeda M. for Hirano, M.Japan Meteorological Agency[Link]
P1.20Aviation meteorology technology at the National Meteorological Center of the China Meteorological AdministrationYang. B.National Meteorological Centre, China Meteorological Administration[Link]
P1.21Forecasting Ice Supersaturated Regions with the global NWP model ARPEGE for contrail avoidanceArriolabengoa Zazo, S.Météo-France[Link]
P1.22Closing the Gap in Upper Air Data in Africa Through Air-Based ObservationsRivaben, N. for Salih Babiker, A.A.M.World Meteorological Organization (WMO)[Link]

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Session 2: Impact-based information and decision support services for aviation

ItemTitle (click to view short abstract)Presented byAffiliationPoster (click to view)
P2.1Public and Aeronautical Forecasting in West Africa: Contribution of Satellite ImageriesAbdou Adam, A.L'Agence pour la Sécurité de la Navigation aérienne en Afrique et à Madagascar (ASECNA)[Link]
P2.2Predicting prolonged lightning alert in Hong Kong International AirportChau, C-Y.Hong Kong Observatory[Link]
P2.3The future of Aerodrome Weather Forecast: FMI's Airport Forecast now and in the SWIM-compliant futureEklund, J.Finnish Meteorological Institute[Link]
P2.4Use of Traffic Complexity Ensembles in Air Traffic Flow and Capacity ManagementKerschbaum, M.AustroControl GmbH, Austria[Link]
P2.5The aviation weather information conversion technology development to support decision-making of aviation stakeholdersLee, J.INOSKY, Republic of Korea[Link]
P2.6KAIROS - unlocking the potential of AI-based weather forecasts for operational benefitsJardines, A.Applied Innovative Methods, Spain[Link]
P2.74D NARAE-Weather Data Platform Functional DesignKim, J.ETRI, Republic of Korea[Link]
P2.8Summary of the AvRDP2 projectBuchanan, P.Met Office, UK[Link]
P2.9Convection Forecast for ATFM ApplicationNg, Y.L. for Wong, W.N.Hong Kong Observatory[Link]
P2.10Novel European collaborative cross border forecasts CBCF and EGAFOR from forecaster's perspectiveJurković, J.CroControl Ltd., Croatia[Link]

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Session 3: Science to understand the impacts of climate change on aviation and aviation environmental issues

ItemTitle (click to view short abstract)Presented byAffiliationPoster (click to view)
P3.1A climatological study of turbulence in the European area with re-analysis dataAlemanno, M.Italian Air Force[Link]
P3.2The impact of sea level rise on European airport operationsBurbidge, R. Eurocontrol, Belgium[Link]
P3.3The impact of changing climatic conditions on tourism flight demandBurbidge, R. Eurocontrol, Belgium[Link]
P3.4The impacts of climate change on aviation and aviation environmental issuesBounnit, M.General Directorate of Meteorology, Morocco[Link]
P3.5An overview of aviation and weather related issues in most challenging airports of NepalGautam, N.P.Tribhuvan University, Nepal[Link]
P3.6Space weather and climate change: aeronautical meteorological services priority supported by new technologyMba Nkilli, L.Civil Aviation Authority, Gabon[Link]

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