Ma, S., Ma, S., Tong, D., Tong, D., Lamsal, L., Lamsal, L., . . . Stajner, I. (2021). Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign. Copernicus Publications.
Chicago Style (17th ed.) CitationMa, S., et al. Improving Predictability of High-ozone Episodes Through Dynamic Boundary Conditions, Emission Refresh and Chemical Data Assimilation During the Long Island Sound Tropospheric Ozone Study (LISTOS) Field Campaign. Copernicus Publications, 2021.
MLA (8th ed.) CitationMa, S., et al. Improving Predictability of High-ozone Episodes Through Dynamic Boundary Conditions, Emission Refresh and Chemical Data Assimilation During the Long Island Sound Tropospheric Ozone Study (LISTOS) Field Campaign. Copernicus Publications, 2021.