KAIROS：基于人工智能的航空气象信息.pdf

1、FLY AI Forum 2025April 22nd2025,Brussels,BelgiumKAIROS:AI-based MET Information for AviationThis project has received funding from the SESAR Joint Undertaking(JU)under grant agreement No 101114701.The JU receives support from the European Unions HorizonEurope researchand innovationprogramme andtheSE

2、SAR JU members otherthantheUnion.01020304050607INDEXIntroductionAI Paradigm ShiftTechnology BenefitsKAIROS ProjectMethodologyResultsNext StepsEnhanced weather information is critical for ATFM decision making ATFM weather-related delays have increased significantly over the past 3 years.Strong correl

3、ation observed between rising traffic demand and weather-induced delays.Severe weather events are becoming more frequent and disruptive.IntroductionWeather is a ChallengeAI Paradigm ShiftTransforming Aviation METAutomation More frequent updates to informationDigitalizationEasy to integrate into deci

4、sion support tools/platformsScalabilityProven technology on local and global forecastsContinuous learningLive data feed enables model continuous improvementProviding aviation stakeholders with precise digital weather forecast at longer lead times.Data Driven Eliminates human bias in forecastTechnolo

5、gy BenefitsAdvantages of AI-based METMET DataAI TechnologyDecision Support PlatformsEnd UsersKAIROS ProjectCollaborating for ImpactFast-track Innovation&Uptake Industrial R&D Project:”Seeks to accelerate the market uptake of innovative solutions.”Mature TRL 2 TRL7 in 36monthsHigh altitude ice crysta

6、lsConvectionTurbulenceLow visibilitySO2/DustProduce AI-based MET forecasts for several weather phenomenaAssess operation benefits of AI weather forecasts to aviation end-users12Drone OperatorsANSPsAirlinesAirportsEngine OEMsKAIROS ProjectObjectives?AI Models?KAIROS ProjectCONOPSGoal:Approach:Leverag