Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-607-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-607-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
12 Feb 2016
Development and technical paper |
| 12 Feb 2016
Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5
Pacific Northwest National Laboratory, Richland, WA, USA
Chun Zhao
Pacific Northwest National Laboratory, Richland, WA, USA
Pacific Northwest National Laboratory, Richland, WA, USA
Yun Qian
Pacific Northwest National Laboratory, Richland, WA, USA
Richard C. Easter
Pacific Northwest National Laboratory, Richland, WA, USA
Steven J. Ghan
Pacific Northwest National Laboratory, Richland, WA, USA
Koichi Sakaguchi
Pacific Northwest National Laboratory, Richland, WA, USA
Xiaohong Liu
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
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Cited
17 citations as recorded by crossref.
- CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. 10.5194/gmd-15-3205-2022
- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
- Development and evaluation of a physics‐based windblown dust emission scheme implemented in the CMAQ modeling system H. Foroutan et al. 10.1002/2016MS000823
- Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
- The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. 10.1029/2019MS001870
- Stochastic Parameterization of Subgrid-Scale Velocity Enhancement of Sea Surface Fluxes J. Bessac et al. 10.1175/MWR-D-18-0384.1
- Improving the simulation of convective dust storms in regional‐to‐global models H. Foroutan & J. Pleim 10.1002/2017MS000953
- Potential sea salt aerosol sources from frost flowers in the pan‐Arctic region L. Xu et al. 10.1002/2015JD024713
- Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution Y. Feng et al. 10.1029/2021MS002909
- An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Parametrizing the mesoscale enhancement of oceanic surface turbulent fluxes: A physical–statistical approach S. Blein et al. 10.1002/qj.4273
- A conditional approach for joint estimation of wind speed and direction under future climates Q. Wu et al. 10.5194/ascmo-8-205-2022
- Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. 10.5194/gmd-17-1387-2024
- Modeling of Mineral Dust Emissions with a Weibull Wind Speed Distribution Including Subgrid-Scale Orography Variance L. Menut 10.1175/JTECH-D-17-0173.1
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. 10.1029/2020MS002456
17 citations as recorded by crossref.
- CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. 10.5194/gmd-15-3205-2022
- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
- Development and evaluation of a physics‐based windblown dust emission scheme implemented in the CMAQ modeling system H. Foroutan et al. 10.1002/2016MS000823
- Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
- The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. 10.1029/2019MS001870
- Stochastic Parameterization of Subgrid-Scale Velocity Enhancement of Sea Surface Fluxes J. Bessac et al. 10.1175/MWR-D-18-0384.1
- Improving the simulation of convective dust storms in regional‐to‐global models H. Foroutan & J. Pleim 10.1002/2017MS000953
- Potential sea salt aerosol sources from frost flowers in the pan‐Arctic region L. Xu et al. 10.1002/2015JD024713
- Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution Y. Feng et al. 10.1029/2021MS002909
- An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Parametrizing the mesoscale enhancement of oceanic surface turbulent fluxes: A physical–statistical approach S. Blein et al. 10.1002/qj.4273
- A conditional approach for joint estimation of wind speed and direction under future climates Q. Wu et al. 10.5194/ascmo-8-205-2022
- Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. 10.5194/gmd-17-1387-2024
- Modeling of Mineral Dust Emissions with a Weibull Wind Speed Distribution Including Subgrid-Scale Orography Variance L. Menut 10.1175/JTECH-D-17-0173.1
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. 10.1029/2020MS002456
Latest update: 23 Apr 2024
Short summary
A sub-grid treatment based on Weibull distribution is introduced to CAM5 to take into account the impact of unresolved variability of surface wind speed on sea salt and dust emissions. Simulations show that sub-grid wind variability has relatively small impacts on the global mean sea salt emissions, but considerable influence on dust emissions. Dry convective eddies and mesoscale flows associated with complex topography are the major causes of dust emission enhancement.
A sub-grid treatment based on Weibull distribution is introduced to CAM5 to take into account...
