Supplementary Data of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach"

Supplementary data accompanying the article "Transport Patterns of Global Aviation NO_x and their Short-term O₃ Radiative Forcing – A Machine Learning Approach". <br> This data tracks the global transport of emitted NO_xthroughout a 90-day period since its emission from a representative aircraft cruising altitude of 250 hPa (~10.4 km) in 5 regions (North America, South America, Eurasia, Africa and Australasia) during the first day of January and July of 2014. <br> The short-term NO_x-induced net O₃ production is also calculated as well as its associated instantaneous radiative forcing impact. The Lagrangian modelling approach adopted in this study allows for the amount of NO_x emitted and consequent O₃ produced to be accompanied along each point of every air parcel trajectory. Lastly, information regarding the background NO_x conditions during the times of emission is also included.

本数据集为论文《全球航空氮氧化物（NOₓ）传输模式及其短期臭氧（O₃）辐射强迫——一种机器学习方法》的配套补充数据。该数据集追踪了2014年1月1日与7月1日，从北美、南美、欧亚大陆、非洲及大洋洲5个区域内代表巡航高度（250百帕（hPa），约10.4公里）的航空器排放的氮氧化物（NOₓ）在排放后90天内的全球传输过程。该数据集同时计算了短期氮氧化物（NOₓ）诱导的净臭氧（O₃）生成量，以及与之相关的瞬时辐射强迫效应。本研究采用的拉格朗日（Lagrangian）模拟方法，可使每个气块轨迹的各节点均附带对应排放的氮氧化物（NOₓ）生成量与后续生成的臭氧（O₃）量。此外，数据集还涵盖了排放时刻的背景氮氧化物（NOₓ）浓度相关信息。