Meteorological impacts on aviation carbon emissions during takeoff and landing at 25 major global airports

Xiaokang Liu , Chengze Mao , Shuai Yue , Qing Ji , Chunan Wang
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Abstract

Aviation plays a pivotal role in facilitating global economic integration, yet its associated greenhouse gas emissions and climate impacts have garnered increasing scrutiny. This study examined how meteorological conditions affect aircraft carbon emissions during the landing and takeoff (LTO) cycle, focusing on the world’s 25 busiest international airports in 2019. We integrated flight level emissions with high-resolution ERA5 reanalysis data and estimated a fixed effects panel model to quantify the effects of temperature, wind speed, atmospheric pressure, cloud base height, low-level cloud cover, precipitation, and snow cover on emissions intensity. The results indicate that meteorological factors exert statistically significant and heterogeneous impacts across flight phases. Specifically, higher temperatures, lower atmospheric pressure, reduced cloud base height, and intense precipitation or snow cover are associated with increased per-flight carbon emissions, with particularly pronounced effects during taxiing operations. Sensitivity also varied across climate zones, airport infrastructure, and operating procedures, underscoring substantial spatial heterogeneity. These findings support the design of weather adaptive operating strategies and decarbonization pathways in aviation and provide a more nuanced understanding of weather driven variability in emissions.
气象对全球25个主要机场起降期间航空碳排放的影响
航空业在促进全球经济一体化方面发挥着关键作用,但其相关的温室气体排放和气候影响已受到越来越多的关注。这项研究调查了气象条件如何影响飞机在起降(LTO)周期中的碳排放,重点研究了2019年全球25个最繁忙的国际机场。我们将飞行水平排放与高分辨率ERA5再分析数据结合起来,估算了一个固定效应面板模型,以量化温度、风速、大气压、云底高度、低层云量、降水和积雪对排放强度的影响。结果表明,气象因子对飞行阶段的影响具有统计学显著性和异质性。具体而言,温度升高、气压降低、云底高度降低、强降水或积雪与每次飞行的碳排放量增加有关,在滑行操作期间的影响尤为明显。敏感性也因气候区、机场基础设施和操作程序而异,强调了巨大的空间异质性。这些发现支持了天气适应性操作策略和航空脱碳途径的设计,并提供了对天气驱动的排放变化的更细致的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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