Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry-climate model.

MLA

Revell, Laura E., et al. “Tropospheric Ozone in CCMI Models and Gaussian Process Emulation to Understand Biases in the SOCOLv3 Chemistry-Climate Model.” Atmospheric Chemistry and Physics, vol. 18, no. 21, Nov. 2018, pp. 16155–72. EBSCOhost, https://doi.org/10.5194/acp-18-16155-2018.

APA

Revell, L. E., Stenke, A., Tummon, F., Feinberg, A., Rozanov, E., Peter, T., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Butchart, N., Deushi, M., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., … Zeng, G. (2018). Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry-climate model. Atmospheric Chemistry and Physics, 18(21), 16155–16172. https://doi.org/10.5194/acp-18-16155-2018

Chicago

Revell, Laura E, Andrea Stenke, Fiona Tummon, Aryeh Feinberg, Eugene Rozanov, Thomas Peter, N Luke Abraham, et al. 2018. “Tropospheric Ozone in CCMI Models and Gaussian Process Emulation to Understand Biases in the SOCOLv3 Chemistry-Climate Model.” Atmospheric Chemistry and Physics 18 (21): 16155–72. doi:10.5194/acp-18-16155-2018.