Fire emissions are a major contributor to atmospheric composition,; affecting atmospheric oxidizing capacity and air quality. Transported; amounts from Northern Hemisphere boreal fires can reach the pristine; Arctic atmosphere as well as impact air quality in populated regions.; Carbon monoxide (CO) is a useful trace gas emitted from fires that can; be used to link extreme fire events with climate variability. We use our; recently developed statistical tool to investigate the climate drivers; of satellite measured CO variability in two Northern Hemisphere boreal; fire regions: northwest Canada and Siberia. Our focus is on quantifying; the ability of climate mode indices for the Pacific, Atlantic, Indian; and Arctic Oceans in predicting CO amounts in these regions. Climate; mode indices El Niño Southern Oscillation (ENSO), Tropical North; Atlantic (TNA), the Dipole Mode Index (DMI) and the Arctic Oscillation; (AO) are used to develop statistical models of column CO interannual; variability from the Measurements of Pollution In The Troposphere; (MOPITT) satellite instrument, for the time period covering 2001-2017.; In addition, we assess the ability of fire emission inventories to; reproduce CO, including the Fire Inventory from NCAR (FINN), the NASA; Quick Fire Emissions Dataset (QFED) and the Copernicus Atmosphere; Monitoring Service (CAMS) Global Fire Assimilation System (GFAS). These; are implemented in the NCAR Community Atmosphere Model with chemistry; (CAM-chem) and subsequently evaluated against MOPITT CO observations.; Emission uncertainty contribution to inter-inventory differences are; quantified, and the modeled contribution of fires to CO interannual; variability is determined.
