Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8677-2024
https://doi.org/10.5194/acp-24-8677-2024
Research article
 | 
06 Aug 2024
Research article |  | 06 Aug 2024

Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations

Amir H. Souri, Bryan N. Duncan, Sarah A. Strode, Daniel C. Anderson, Michael E. Manyin, Junhua Liu, Luke D. Oman, Zhen Zhang, and Brad Weir

Data sets

OMI/Aura NO2 Tropospheric, Stratospheric & Total Columns MINDS 1-Orbit L2 Swath 13 kmx24 km L. N. Lamsal et al. https://doi.org/10.5067/MEASURES/MINDS/DATA204

OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003, Greenbelt, MD, USA P. K. Bhartia et al. https://doi.org/10.5067/Aura/OMI/DATA2024

MOPITT CO gridded monthly means (Near and Thermal Infrared Radiances) V008 NASA LARC https://doi.org/10.5067/TERRA/MOPITT/MOP03JM_L3.008

MERRA2 GMI NASA Goddard Space Flight Center https://acd-ext.gsfc.nasa.gov/Projects/GEOSCCM/MERRA2GMI/

University of Colorado Institute of Arctic and Alpine Research (INSTAAR) Flask-Air Sample Measurements of Atmospheric Non Methane Hydrocarbons Mole Fractions from the NOAA GML Carbon Cycle Surface Network at Global and Regional Background Sites, 2004-201 D. Helmig et al. https://doi.org/10.15138/6AV8-GS57

Atmospheric Methane Dry Air Mole Fractions from the NOAA GML Carbon Cycle Cooperative Global Air Sampling Network, 1983--2022 X. Lan et al. https://doi.org/10.15138/VNCZ-M766

Model code and software

OI-SAT-GMI Amir H. Souri https://doi.org/10.5281/zenodo.10520136

Offline ECCOH Amir H. Souri https://doi.org/10.5281/zenodo.10685100

GEOS model NASA GSFC https://github.com/GEOS-ESM/GEOSgcm.git

GEOS-Quickchem Michael Manyin https://github.com/GEOS-ESM/QuickChem.git

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Short summary
We explore a new method of using the wealth of information obtained from satellite observations of Aura OMI NO2, HCHO, and MERRA-2 reanalysis in NASA’s GEOS model equipped with an efficient tropospheric OH (TOH) estimator to enhance the representation of TOH spatial distribution and its long-term trends. This new framework helps us pinpoint regional inaccuracies in TOH and differentiate between established prior knowledge and newly acquired information from satellites on TOH trends.
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