Meteorological influence on surface ozone trends in China: Assessing uncertainties caused by multi-dataset and multi-method

This rar file is the supporting research data for the paper "Meteorological influence on surface ozone trends in China: Assessing uncertainties caused by multi-dataset and multi-method". It includes surface ozone observations and results from MLR models, RF model, and GEOS-Chem model. For any questions, please feel free to contact us.本RAR压缩文件为论文《气象对中国地表臭氧趋势的影响：评估多数据集与多方法引发的不确定性》的配套研究数据，其中包含地表臭氧观测数据，以及多元线性回归（Multiple Linear Regression，简称MLR）模型、随机森林（Random Forest，简称RF）模型与GEOS-Chem模型的运行结果。 如有任何疑问，欢迎随时与我们联系。