Supplementary Data of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach"
收藏Figshare2022-12-09 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Supplementary_Data_of_Transport_Patterns_of_Global_Aviation_NOx_and_their_Short-term_O3_Radiative_Forcing_A_Machine_Learning_Approach_/16886977
下载链接
链接失效反馈官方服务:
资源简介:
Supplementary data accompanying the article "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach". This data tracks the global transport of emitted NOx throughout 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. The short-term NOx-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 NOx emitted and consequent O3 produced to be accompanied along each point of every air parcel trajectory. Lastly, information regarding the background NOx conditions during the times of emission is also included.
创建时间:
2022-12-09



