Estimating US Background Ozone Using Data Fusion.

ABSTRACT: US background (US-B) ozone (O₃) is the O₃ that would be present in the absence of US anthropogenic (US-A) emissions. US-B O₃ varies by location and season and can make up a large, sometimes dominant, portion of total O₃. Typically, US-B O₃ is quantified using a chemical transport model (CTM) though results are uncertain due to potential errors in model process descriptions and inputs, and there are significant differences in various model estimates of US-B O₃. We develop and apply a method to fuse observed O₃ with US-B O₃ simulated by a regional CTM (CMAQ). We apportion the model bias as a function of space and time to US-B and US-A O₃. Trends in O₃ bias are explored across differe

SUBMITTER: Skipper TN 

PROVIDER: S-EPMC8127949 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature