The team of researchers from China and the United States developed a new computer model that can help accurately predict air pollution levels in the region a season in advance. The data from El Nino and Antarctic Oscillation events can be used to predict air pollution levels in northern India. It will allow the government to forecast aerosol pollution conditions in winter and formulate plans for pollution control. The research was published in the journal Science Advances. Meng Gao from the School of Engineering and Applied Sciences, Harvard University in the US said that the statistical prediction model uses 2 autumn temperature variation patterns as predictors. According to the State of Global Air 2019 Report, over 1.2 million people died in India due to air pollution in 2017.