Articles | Volume 14, issue 1
https://doi.org/10.5194/gmd-14-473-2021
© Author(s) 2021. 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-14-473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
25 Jan 2021
Development and technical paper |
| 25 Jan 2021
| 25 Jan 2021
Improving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module
Alexander Ukhov
CORRESPONDING AUTHOR
Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Ravan Ahmadov
CIRES, University of Colorado, Boulder, CO, USA
NOAA Earth System Research Laboratory, Boulder, CO, USA
Georg Grell
NOAA Earth System Research Laboratory, Boulder, CO, USA
Georgiy Stenchikov
Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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- Effects of dust storm and wildfire events on phytoplankton growth in the Southern Ocean and Tasman Sea, southeast Australia H. Nguyen et al. 10.1051/e3sconf/202449604003
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- Dust radiation effect on the weather and dust transport over the Taklimakan Desert, China Y. Chen et al. 10.1016/j.atmosres.2022.106600
- Effects of Variable Eruption Source Parameters on Volcanic Plume Transport: Example of the 23 November 2013 Paroxysm of Etna U. Rizza et al. 10.3390/rs13204037
- Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations S. Parajuli et al. 10.5194/acp-22-8659-2022
- The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East N. Hamzeh et al. 10.3390/atmos15010024
- Radiative and cloud microphysical effects of the Saharan dust simulated by the WRF-Chem model A. Mamun et al. 10.1016/j.jastp.2021.105646
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- The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event H. Snoun et al. 10.1007/s41207-024-00629-6
- The role of atmospheric aerosols on severe convective precipitation in a Mediterranean coastal region F. Ferrari et al. 10.1016/j.atmosres.2024.107421
- Exposure Assessment of Ambient PM2.5 Levels during a Sequence of Dust Episodes: A Case Study Coupling the WRF-Chem Model with GIS-Based Postprocessing E. Mancinelli et al. 10.3390/ijerph20085598
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- Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations Y. Cheng et al. 10.5194/acp-24-12643-2024
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- Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model L. Pan et al. 10.5194/gmd-17-431-2024
- Improving the Asian dust storm prediction using WRF-Chem through combinational optimization of physical parameterization schemes J. Yoon et al. 10.1016/j.atmosenv.2024.120461
- Effects of Dust Storm and Wildfire Events on Phytoplankton Growth and Carbon Sequestration in the Tasman Sea, Southeast Australia H. Nguyen et al. 10.3390/atmos15030337
- Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al. 10.1016/j.apr.2021.101310
- Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability R. Karumuri et al. 10.1002/joc.7396
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- Extension of WRF-Chem for birch pollen modelling—a case study for Poland M. Werner et al. 10.1007/s00484-020-02045-1
- Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations A. Ukhov et al. 10.5194/acp-20-9281-2020
- Prediction of the Atmospheric Dustiness over the Black Sea Region Using the WRF-Chem Model A. Papkova et al. 10.3390/fluids6060201
- Assessment of WRF-CHEM Simulated Dust Using Reanalysis, Satellite Data and Ground-Based Observations A. Rajeev et al. 10.1007/s12524-021-01328-3
Latest update: 13 Dec 2024
Short summary
We discuss and evaluate the effects of inconsistencies found in the WRF-Chem code when using the GOCART module. First, PM surface concentrations were miscalculated. Second, dust optical depth was underestimated by 25 %–30 %. Third, an inconsistency in the process of gravitational settling led to the overestimation of dust column loadings by 4 %–6 %, PM10 by 2 %–4 %, and the rate of gravitational dust settling by 5 %–10 %. We also presented diagnostics that can be used to estimate these effects.
We discuss and evaluate the effects of inconsistencies found in the WRF-Chem code when using the...
