five

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

收藏
DataCite Commons2022-12-09 更新2024-07-03 收录
下载链接:
https://data.4tu.nl/articles/_/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 NO<sub>x</sub> and their Short-term O<sub>3</sub> Radiative Forcing – A Machine Learning Approach". <br> This data tracks the global transport of emitted NO<sub>x </sub>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. <br> The short-term NO<sub>x</sub>-induced net O<sub>3</sub> 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<sub>x</sub> emitted and consequent O<sub>3</sub> produced to be accompanied along each point of every air parcel trajectory. Lastly, information regarding the background NO<sub>x</sub> conditions during the times of emission is also included.
提供机构:
4TU.ResearchData
创建时间:
2021-10-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作