GEOS-Chem-TOMAS model output for 2019-2020

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.