TY - JOUR A1 - Tu, Q. A1 - Hase, F. A1 - Chen, Z. A1 - Schneider, M. A1 - GarcĂ­a, O. A1 - Khosrawi, F. A1 - Chen, S. A1 - Blumenstock, T. A1 - Liu, F. A1 - Qin, K. A1 - Cohen, J. A1 - He, Q. A1 - Lin, S. A1 - Jiang, H. A1 - Fang, D. T1 - Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique JO - Atmos. Meas. Tech. J1 - AMT VL - 16 IS - 8 SP - 2237 EP - 2262 Y1 - 2023/04/26 PB - Copernicus Publications SN - 1867-8548 UR - https://amt.copernicus.org/articles/16/2237/2023/ L1 - https://amt.copernicus.org/articles/16/2237/2023/amt-16-2237-2023.pdf DO - 10.5194/amt-16-2237-2023 ER -