Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data.

MLA

Feng, Jin, et al. “Capturing Synoptic-Scale Variations in Surface Aerosol Pollution Using Deep Learning with Meteorological Data.” Atmospheric Chemistry & Physics, vol. 23, no. 1, Jan. 2023, pp. 375–88. EBSCOhost, https://doi.org/10.5194/acp-23-375-2023.

APA

Feng, J., Li, Y., Qiu, Y., & Zhu, F. (2023). Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data. Atmospheric Chemistry & Physics, 23(1), 375–388. https://doi.org/10.5194/acp-23-375-2023

Chicago

Feng, Jin, Yanjie Li, Yulu Qiu, and Fuxin Zhu. 2023. “Capturing Synoptic-Scale Variations in Surface Aerosol Pollution Using Deep Learning with Meteorological Data.” Atmospheric Chemistry & Physics 23 (1): 375–88. doi:10.5194/acp-23-375-2023.