Cite
Mao J, Carlton A, Cohen RC, et al. Southeast Atmosphere Studies: learning from model-observation syntheses. Atmos Chem Phys. 2018;18(4):2615-2651doi: 10.5194/acp-18-2615-2018.
Mao, J., Carlton, A., Cohen, R. C., Brune, W. H., Brown, S. S., Wolfe, G. M., Jimenez, J. L., Pye, H. O. T., Ng, N. L., Xu, L., McNeill, V. F., Tsigaridis, K., McDonald, B. C., Warneke, C., Guenther, A., Alvarado, M. J., de Gouw, J., Mickley, L. J., Leibensperger, E. M., Mathur, R., Nolte, C. G., Portmann, R. W., Unger, N., Tosca, M., & Horowitz, L. W. (2018). Southeast Atmosphere Studies: learning from model-observation syntheses. Atmospheric chemistry and physics, 18(4), 2615-2651. https://doi.org/10.5194/acp-18-2615-2018
Mao, Jingqiu, et al. "Southeast Atmosphere Studies: learning from model-observation syntheses." Atmospheric chemistry and physics vol. 18,4 (2018): 2615-2651. doi: https://doi.org/10.5194/acp-18-2615-2018
Mao J, Carlton A, Cohen RC, Brune WH, Brown SS, Wolfe GM, Jimenez JL, Pye HOT, Ng NL, Xu L, McNeill VF, Tsigaridis K, McDonald BC, Warneke C, Guenther A, Alvarado MJ, de Gouw J, Mickley LJ, Leibensperger EM, Mathur R, Nolte CG, Portmann RW, Unger N, Tosca M, Horowitz LW. Southeast Atmosphere Studies: learning from model-observation syntheses. Atmos Chem Phys. 2018;18(4):2615-2651. doi: 10.5194/acp-18-2615-2018. Epub 2018 Feb 22. PMID: 29963079; PMCID: PMC6020695.
Copy
Download .nbib