Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7291-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7291-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jun 2017
Research article |
| 17 Jun 2017
WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley
Longtao Wu
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Hui Su
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Olga V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Jonathan H. Jiang
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Chun Zhao
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, China
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
James R. Campbell
Naval Research Laboratory, Monterey, CA, USA
Nanpeng Yu
University of California, Riverside, Riverside, CA, USA
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Cited
14 citations as recorded by crossref.
- A multi-objective framework to select numerical options in air quality prediction models: A case study on dust storm modeling S. Hosseini Dehshiri & B. Firoozabadi 10.1016/j.scitotenv.2022.160681
- Association of modeled PM2.5 with aerosol optical depth: model versus satellite N. Srivastava 10.1007/s11069-019-03590-8
- Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations S. Parajuli et al. 10.5194/acp-20-16089-2020
- Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California X. Meng et al. 10.1016/j.atmosenv.2018.03.019
- Impact of aerosols on reservoir inflow: A case study for Big Creek Hydroelectric System in California F. Kabir et al. 10.1002/hyp.13265
- Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. 10.1029/2019JD032293
- Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S. J. Lee et al. 10.1016/j.atmosenv.2024.120349
- Projected changes in dust emissions and regional air quality due to the shrinking Salton Sea S. Parajuli & C. Zender 10.1016/j.aeolia.2018.05.004
- Elevated surface ozone concentration caused by subtropical cyclones and topographical effect: Model simulation and field measurement K. Lo et al. 10.1016/j.uclim.2024.102093
- Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations L. Wu et al. 10.5194/acp-18-5529-2018
- Effects of aerosols on the atmospheric boundary layer temperature inversion over the Sichuan Basin, China Y. Yang et al. 10.1016/j.atmosenv.2021.118647
- Snow Albedo Feedbacks Enhance Snow Impurity‐Induced Radiative Forcing in the Sierra Nevada H. Huang et al. 10.1029/2022GL098102
14 citations as recorded by crossref.
- A multi-objective framework to select numerical options in air quality prediction models: A case study on dust storm modeling S. Hosseini Dehshiri & B. Firoozabadi 10.1016/j.scitotenv.2022.160681
- Association of modeled PM2.5 with aerosol optical depth: model versus satellite N. Srivastava 10.1007/s11069-019-03590-8
- Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations S. Parajuli et al. 10.5194/acp-20-16089-2020
- Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California X. Meng et al. 10.1016/j.atmosenv.2018.03.019
- Impact of aerosols on reservoir inflow: A case study for Big Creek Hydroelectric System in California F. Kabir et al. 10.1002/hyp.13265
- Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. 10.1029/2019JD032293
- Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S. J. Lee et al. 10.1016/j.atmosenv.2024.120349
- Projected changes in dust emissions and regional air quality due to the shrinking Salton Sea S. Parajuli & C. Zender 10.1016/j.aeolia.2018.05.004
- Elevated surface ozone concentration caused by subtropical cyclones and topographical effect: Model simulation and field measurement K. Lo et al. 10.1016/j.uclim.2024.102093
- Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations L. Wu et al. 10.5194/acp-18-5529-2018
- Effects of aerosols on the atmospheric boundary layer temperature inversion over the Sichuan Basin, China Y. Yang et al. 10.1016/j.atmosenv.2021.118647
- Snow Albedo Feedbacks Enhance Snow Impurity‐Induced Radiative Forcing in the Sierra Nevada H. Huang et al. 10.1029/2022GL098102
Latest update: 14 Dec 2024
Short summary
The WRF-Chem simulation successfully captures aerosol variations in the cold season in the San Joaquin Valley (SJV) but has poor performance in the warm season. High-resolution model simulation can better resolve nonhomogeneous distribution of anthropogenic emissions in urban areas, resulting in better simulation of aerosols in the cold season in the SJV. Poor performance of the WRF-Chem model in the warm season in the SJV is mainly due to misrepresentation of dust emission and vertical mixing.
The WRF-Chem simulation successfully captures aerosol variations in the cold season in the San...
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