A CNN-SVR model for NO(2) profile prediction based on MAX-DOAS observations: The influence of Chinese New Year overlapping the 2020 COVID-19 lockdown on vertical distributions of tropospheric NO(2) in Nanjing, China
Description
In this study, a hybrid model, the convolutional neural network-support vector regression model, was adopted to achieve prediction of the NO(2) profile in Nanjing from January 2019 to March 2021. Given the sudden decline in NO(2) in February 2020
