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ContrailNet(凝结尾迹观测数据的通用存储库).pdf

上传人: 竿*** 编号:982027 2025-11-29 15页 63.71MB

1、wContrails Research at EurocontrolResearch,Monitoring and the ContrailNet InitiativeRamon DALMAU-CODINA,Philippe VERY and Gabriel JARRY17/11/2025The climate forcing of non-CO emissions could be similar in magnitude to that of CO emissions.The main non-CO effects are from condensation trails and NOxF

2、urther work is needed to improve scientific understanding and reduce uncertainty in estimates.2WarmingCoolingSource:The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018,Lee et.Al.,2021 Overview of CO2 and Non-CO2 Effects of AviationThe CoCiP and aCCFs Modelling Tools

3、 used in the MRV3 Complete toolsets designed by the DLR to compute climate impact on a per flight basis and used in the MRV Inputs:Weather/Atmospheric(ECMWF,Meteo-France,DWD)data Precise flight,performance and emissions data(ADSB/QAR,BADA,BFFM2)CoCiP focuses on the impact of contrails:Predicts contr

4、ail-cirrus coverage and radiative forcing for individual flights using a Lagrangian framework aCCFs cover all non-CO2 species Provide fast approximations of the temperature response caused by aviations non-CO effects derived from detailed Lagrangian climate-chemistry simulations(CCFs)The Observation

5、al Approach 4 Methods based on observations could play a significant role:To test and validate physical approaches To monitor and confirm actual contrail occurrences Observational means include:In-Situ measurements(IAGOS,MOZAIC,)Geostationary satellites(GOES,MTG,HIMAWARA)Low orbit satellites(LANDSAT

6、)Ground Camera systems LIDARs(satellites and ground-based)Source:https:/www.iagos.org/Source:Reuniwatt/EurocontrolSource:Reuniwatt/EurocontrolFocus on AI methods for Remote Sensors(Satellites,Ground Cameras)Artificial intelligence enables large-scale pattern recognition(almost)without expert knowled

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根据报告的内容,全文主要内容概括如下: - 非二氧化碳排放对气候的强迫作用可能与二氧化碳排放相当。 - 主要的非二氧化碳效应来自凝结尾迹和氮氧化物(NOx)。 - 需要进一步工作来提高科学理解和减少估计的不确定性。 - 使用CoCiP和aCCFs工具计算每架航班的气候影响。 - 观测方法在测试和验证物理方法、监测和确认实际尾迹发生中发挥重要作用。 - 人工智能在远程传感器(卫星、地面相机)的尾迹检测中发挥作用。 - ContrailNet旨在通过共享数据促进尾迹研究。 - GVCCS数据集包含地面可见相机尾迹序列,用于研究和训练模型。 - 开发了用于尾迹检测和跟踪的模型,以及尾迹到航班的归因模型。
气候影响揭秘?" 航空尾迹追踪新突破?" 航空尾迹研究加速器?"
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