2019年冠状病毒病(COVID-19)
环境科学
气象学
卫星
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
高度(三角形)
2019-20冠状病毒爆发
大流行
气候学
大气科学
地理
数学
地质学
爆发
航空航天工程
几何学
疾病
传染病(医学专业)
病毒学
医学
病理
工程类
生物
作者
Vincent Rudolf Meijer,Luke Kulik,Sebastian D. Eastham,Florian Allroggen,Raymond L. Speth,Sertac Karaman,Steven F. Barrett
标识
DOI:10.1088/1748-9326/ac26f0
摘要
Abstract Contrails are potentially the largest contributor to aviation-attributable climate change, but estimates of their coverage are highly uncertain. No study has provided observation-based continental-scale estimates of the diurnal, seasonal, and regional variability in contrail coverage. We present contrail coverage estimates for the years 2018, 2019 and 2020 for the contiguous United States, derived by developing and applying a deep learning algorithm to over 100 000 satellite images. We estimate that contrails covered an area the size of Massachusetts and Connecticut combined in the years 2018 and 2019. Comparing 2019 and 2020, we quantify a 35.8% reduction in distance flown above 8 km altitude and an associated reduction in contrail coverage of 22.3%. We also find that the diurnal pattern in contrail coverage aligns with that of flight traffic, but that the amount of contrail coverage per distance flown decreases in the afternoon.
科研通智能强力驱动
Strongly Powered by AbleSci AI