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Dryad

GEOS-Chem-TOMAS model output for 2019-2020

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Jun 04, 2025 version files 1.65 MB

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Abstract

The model output contained in this dataset is created using GEOS-Chem-TOMAS simulations using the GFAS biomass burning emission inventory for 2019 and 2020. We test three biomass burning plume injection height (BB-PIH) scenarios: well-mixed into the planetary boundary layer, and two scenarios using GFAS estimates of plume injection height. Those three simulations are used in the creation of this dataset. The following is a brief summary of the key results of the study. Elevating BB-PIH increases the simulated global-mean aerosol optical depth (10%) despite a global-mean decrease (1%) in near-surface PM2.5. Increasing the tropospheric column mass yields enhanced cooling by the global-mean clear-sky biomass burning direct radiative effect. However, increasing BB-PIH places more smoke above clouds in some regions; thus, the all-sky biomass burning direct radiative effect has weaker cooling in these regions as a result of increasing the BB-PIH. Elevating the BB-PIH increases the simulated global-mean cloud condensation nuclei concentrations at low-cloud altitudes, strengthening the global-mean cooling of the biomass burning aerosol indirect effect with a more than doubling over marine areas. Elevating BB-PIH also generally improves model agreement with the satellite-retrieved total and smoke extinction coefficient profiles. Our two-year global simulations with new BB-PIH capability enable understanding of the global-scale impacts of BB-PIH modeling on simulated air quality and radiative effects, going beyond the current understanding limited to specific biomass burning regions and seasons.