Articles | Volume 17, issue 1
https://doi.org/10.5194/gmd-17-431-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-431-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
16 Jan 2024
Model evaluation paper |
| 16 Jan 2024
| 16 Jan 2024
Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model
Lynker, Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, Leesburg, VA, USA
Partha S. Bhattacharjee
Science Applications International Corporation (SAIC), Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, Reston, VA, USA
Li Zhang
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Global Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Raffaele Montuoro
Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, College Park, MD, USA
Barry Baker
NOAA Air Resources Laboratory, College Park, MD, USA
Jeff McQueen
Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, College Park, MD, USA
Georg A. Grell
Global Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Stuart A. McKeen
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
retired
Shobha Kondragunta
NOAA/NESDIS Center for Satellite Applications and Research, Greenbelt, MD, USA
Xiaoyang Zhang
Department of Geography, South Dakota State University, Brookings, SD, USA
Gregory J. Frost
Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Fanglin Yang
Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, College Park, MD, USA
Ivanka Stajner
Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, College Park, MD, USA
Data sets
MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio V5.12.4 Global Modeling and Assimilation Office (GMAO) 0.5067/LTVB4GPCOTK2
Model code and software
lipan-NOAA/GEFS: GMD-2023-61 (gefs.v12.0.1-nco) Xianwu Xue et al. https://doi.org/10.5281/zenodo.7930284
Short summary
A GEFS-Aerosols simulation was conducted from 1 September 2019 to 30 September 2020 to evaluate the model performance of GEFS-Aerosols. The purpose of this study was to understand how aerosol chemical and physical processes affect ambient aerosol concentrations by placing aerosol wet deposition, dry deposition, reactions, gravitational deposition, and emissions into the aerosol mass balance equation.
A GEFS-Aerosols simulation was conducted from 1 September 2019 to 30 September 2020 to evaluate...
