Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique.

MLA

Tu, Qiansi, et al. “Estimation of NO2 Emission Strengths over Riyadh and Madrid from Space from a Combination of Wind-Assigned Anomalies and a Machine Learning Technique.” Atmospheric Measurement Techniques, vol. 16, no. 8, Apr. 2023, pp. 2237–62. EBSCOhost, https://doi.org/10.5194/amt-16-2237-2023.

APA

Tu, Q., Hase, F., Chen, Z., Schneider, M., García, O., Khosrawi, F., Chen, S., Blumenstock, T., Liu, F., Qin, K., Cohen, J., He, Q., Lin, S., Jiang, H., & Fang, D. (2023). Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique. Atmospheric Measurement Techniques, 16(8), 2237–2262. https://doi.org/10.5194/amt-16-2237-2023

Chicago

Tu, Qiansi, Frank Hase, Zihan Chen, Matthias Schneider, Omaira García, Farahnaz Khosrawi, Shuo Chen, et al. 2023. “Estimation of NO2 Emission Strengths over Riyadh and Madrid from Space from a Combination of Wind-Assigned Anomalies and a Machine Learning Technique.” Atmospheric Measurement Techniques 16 (8): 2237–62. doi:10.5194/amt-16-2237-2023.