Articles | Volume 20, issue 23
Atmos. Chem. Phys., 20, 15401–15426, 2020
https://doi.org/10.5194/acp-20-15401-2020
Atmos. Chem. Phys., 20, 15401–15426, 2020
https://doi.org/10.5194/acp-20-15401-2020

Research article 11 Dec 2020

Research article | 11 Dec 2020

Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models

Shuo Wang et al.

Data sets

model results for PRM and RM Shuo Wang and Jason Cohen https://doi.org/10.6084/m9.figshare.10252526.v1

MERRA data Shuo Wang and Jason Cohen https://doi.org/10.6084/m9.figshare.12386135.v1

MISR plume height project D. Nelson, S. Val, R. Kahn, E. Koeberlein, M. Tosca, D. Diner, and C. Lawshe https://misr.jpl.nasa.gov/getData/accessData/

NCEP/NCAR Reanalysis 1: Summary NOAA/OAR/ESRL PSL https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html

MOPITT CO gridded daily means (Near and Thermal Infrared Radiances) V008 NASA/LARC/SD/ASDC https://doi.org/10.5067/TERRA/MOPITT/MOP03J_L3.008

MERRA-2 inst3_3d_aer_Nv: 3d, 3-Hourly, Instantaneous, Model-Level, Assimilation, Aerosol Mixing Ratio V5.12.4 GMAO (Global Modeling and Assimilation Office) https://doi.org/10.5067/LTVB4GPCOTK2

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Short summary
We analyze global measurements of aerosol height from fires. A plume rise model reproduces measurements with a low bias in five regions, while a statistical model based on satellite measurements of trace gasses co-emitted from the fires reproduces measurements without bias in eight regions. We propose that the magnitude of the pollutants emitted may impact their height and subsequent downwind transport. Using satellite data allows better modeling of the global aerosol distribution.
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