AeroMetSci-2024 | Presentations | World Meteorological Organization

AeroMetSci-2024 | Presentations

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

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Provisional Programme
Oral Presentations in Session 1 - Session 2 - Session 3
Poster Presentations in Session 1 - Session 2 - Session 3

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Provisional Programme

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Oral Presentations

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

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

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

Item	Title (click to view short abstract)	Presented by	Affiliation	Presentation (click to view slides)
2.1	MET service provision in the course of time - a daring look into the crystal ball	Bucher-Studer, K.	MeteoSwiss, Switzerland	[Link]
2.2	Status of Aviation Weather in the Cockpit - today and tomorrow: ways forward	Sievers, K.	International Federation of Air Line Pilots' Associations (IFALPA)	[Link]
2.3	Delta Meteorology - An Operational Perspective	Weston, W. (warren.weston@delta.com)	Delta Air Lines, USA	[Contact author for more information]
2.4	Commercial Meteorological Solutions to Tackle Adverse Weather	Grasselt, R.	Leonardo Germany GmbH	[Link]
2.5	The European Meteorological Aircraft Derived Data Centre (EMADDC)	Sondij, J.	Koninklijk Nederlands Meteorologisch Instituut (KNMI), Netherlands	[Link]
2.6	Development and Evaluation of the Local Aviation Model Output Statistics Program (LAMP) for Major Airports in South Korea Using the Artificial Intelligent Techniques	Kim. J-H.	Seoul National University, Republic of Korea	[Link]
2.7	Impact-based meteorological information to support ATM operation – present and future	Ikeda, M.	Japan Meteorological Agency	[Link]
2.8	Development of EPS fields for Aviation by Meteorological Service of Canada	Smith, H.	Meteorological Service of Canada	[Link]
2.9	Enhancing Volcanic Ash Forecasting: Integrating Ensemble Predictions and Impact-Based Decision Support for Aviation	Dacre, H.	University of Reading, UK	[Link]
2.10	Map Risk For Volcanic Ash Monitoring: Case Study of Mount Lewotobi Laki-laki, Indonesia	Siregar, D.	Badan Meteorologi, Klimatologi dan Geofisika (BMKG), Indonesia	[Link]
2.11	Support of Future Aviation Users Needs through a tailored Scientific Approach	Fox, S. for Rennie, G.	International Air Transport Association (IATA)	[Link]
2.12	Optimizing Flight Safety and Economy with Deep Learning-Based Take-off Data Predictions	Shankar, A.	India Meteorological Department	[Link]
2.13	Aviation 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 countries	Kavishe, G.	Tanzania Meteorological Authority	[Link]

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

Item	Title (click to view short abstract)	Presented by	Affiliation	Presentation (click to view slides)
3.1	Impact of climate change and variability on aviation: review of latest results	Padhra, A. and Beckmann, B-R.	British Airways/University of Cambridge, UK and DWD, Germany	[Link]
3.2	Climate change impact on aviation - An Airframer perspective	Wetterwald, M.	Airbus Operation SAS, France	[Link]
3.3	The impacts of climate change on aviation operations: storms and high-altitude winds	Burbidge, R.	Eurocontrol, Belgium	[Link]
3.4	Clear-air turbulence in a changing climate	Williams, P. D.	University of Reading, UK	[Link]
3.5	Climate Changes at the Aerodromes in the Russian Federation from the beginning of the 21st Century	Ivanova, A.	Hydrometeorological Research Center, Russian Federation	[Link]
3.6	Potential LLWS Projections for Kalimantan's Aviation Sector under Future Climate Scenarios in Indonesia	Firdaus, P.	Badan Meteorologi, Klimatologi dan Geofisika (BMKG), Indonesia	[Link]
3.7	Requirements for MET Services informing on climate effects which aim to enable alternative climate-optimized trajectories	Matthes, S.	German Aerospace Center (DLR), Germany	[Link]
3.8	Evaluating forecasts for navigational contrail avoidance: how bad is good enough?	Dean, T.	Breakthrough Energy, USA	[Link]
3.9	Identifying characteristic synoptical weather patterns providing large mitigation potentials for aviation induced non-CO2 effects	Dietmüller, S.	German Aerospace Center (DLR), Germany	[Link]
3.10	Predicting Ice SuperSaturated Regions and persistent contrail formation using weather data and validating with in-flight observations	Mackay, C.	Airbus, France	[Link]
3.11	Insights 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-latitudes	Rohs, S.,	Forschungszentrum Jülich GmbH, Germany	[Link]
3.12	Analysis on the Synoptic Classification of Thunderstorm Gale in Jiangbei Airport from 2001 to 2020 based on Self-Organizing Map	Wu, S.	Civil Aviation Administration of China	[Link]
3.13	Extreme temperature and rainfall changes at Entebbe international Airport: Implications for Aviation sector	Aribo. L.	Uganda National Meteorological Authority	[Link]
3.14	Quantifying increased aircraft take-off distances under climate change at European airports	Williams, J.	University of Reading, UK	[Link]
3.15	Aircraft Engine Dust Ingestion at Global Airports	Ryder, C.	University of Reading, UK	[Link]

Poster Presentations

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

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

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

Item	Title (click to view short abstract)	Presented by	Affiliation	Poster (click to view)
P2.1	Public and Aeronautical Forecasting in West Africa: Contribution of Satellite Imageries	Abdou Adam, A.	L'Agence pour la Sécurité de la Navigation aérienne en Afrique et à Madagascar (ASECNA)	[Link]
P2.2	Predicting prolonged lightning alert in Hong Kong International Airport	Chau, C-Y.	Hong Kong Observatory	[Link]
P2.3	The future of Aerodrome Weather Forecast: FMI's Airport Forecast now and in the SWIM-compliant future	Eklund, J.	Finnish Meteorological Institute	[Link]
P2.4	Use of Traffic Complexity Ensembles in Air Traffic Flow and Capacity Management	Kerschbaum, M.	AustroControl GmbH, Austria	[Link]
P2.5	The aviation weather information conversion technology development to support decision-making of aviation stakeholders	Lee, J.	INOSKY, Republic of Korea	[Link]
P2.6	KAIROS - unlocking the potential of AI-based weather forecasts for operational benefits	Jardines, A.	Applied Innovative Methods, Spain	[Link]
P2.7	4D NARAE-Weather Data Platform Functional Design	Kim, J.	ETRI, Republic of Korea	[Link]
P2.8	Summary of the AvRDP2 project	Buchanan, P.	Met Office, UK	[Link]
P2.9	Convection Forecast for ATFM Application	Ng, Y.L. for Wong, W.N.	Hong Kong Observatory	[Link]
P2.10	Novel European collaborative cross border forecasts CBCF and EGAFOR from forecaster's perspective	Jurković, J.	CroControl Ltd., Croatia	[Link]

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

Note: The boundaries and names shown and the designations used on maps in the presentations below do not imply official endorsement or acceptance by WMO or the United Nations.

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

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