Author:
Zang Zhou,Guo Yushan,Jiang Yize,Zuo Chen,Li Dan,Shi Wenzhong,Yan Xing
Funder
National Natural Science Foundation of China
State Key Laboratory of Remote Sensing Science
National Key Research and Development Program of China
Fundamental Research Funds for the Central Universities
Subject
Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change
Reference63 articles.
1. Time-series analysis of surface ozone and nitrogen oxides concentrations in an urban area at Brazil;Agudelo–Castaneda;Atmos. Pollut. Res.,2014
2. Bhartia, P.K., 2002. OMI algorithm theoretical basis document, volume II, OMI ozone products. In NASA-OMI (Ed.). Washington, DC: ATBD-OMI-02.
3. Estimation of surface O3 from lower-troposphere partial-column information: Vertical correlations and covariances in ozonesonde profiles;Chatfield;Atmos. Environ.,2012
4. A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information;Chen;Sci. Total Environ.,2018
5. The role of natural factors in constraining long-term tropospheric ozone trends over Southern China;Chen;Atmos. Environ.,2020
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献