Full WRF-Chem Ensemble model output in support of the CMS-WRF-CO2 system for 2010

Quantifying the uncertainty of inversion-derived carbon dioxide (CO2) surface fluxes and attributing the uncertainty to errors in either flux or atmospheric transport simulations continue to be challenges in the characterization of surface sources and sinks of CO2. Despite recent studies inferring fluxes using higher-resolution modeling systems, the utility of regional-scale models remains unclear compared to existing coarse-resolution global systems. Here we present an off-line coupling of the mesoscale Weather Research and Forecasting (WRF) model to optimized biogenic CO2fluxes and mole fractions from the global Carbon Monitoring System inversion system (CMS-Flux). The coupling framework consists of methods to constrain the mass of CO2introduced into WRF, effectively nesting our regional domain covering most of North America (except the northern half of Canada) within the CMS global model. We test the coupling by simulating Greenhouse gases Observing SATellite (GOSAT) column-averaged dry-air mole fractions (XCO2) over North America for 2010 (Butler et al., 2020).