Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3661-2017
© 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/gmd-10-3661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
09 Oct 2017
Development and technical paper |
| 09 Oct 2017
Improvements to the WRF-Chem 3.5.1 model for quasi-hemispheric simulations of aerosols and ozone in the Arctic
Louis Marelle
CORRESPONDING AUTHOR
LATMOS/IPSL, UPMC Univ. Paris 06 Sorbonne Universités, UVSQ, CNRS, Paris, France
TOTAL S.A, Direction Scientifique, Tour Michelet, 92069 Paris La Défense, France
now at: Center for International Climate and Environmental Research, Oslo, Norway
Jean-Christophe Raut
LATMOS/IPSL, UPMC Univ. Paris 06 Sorbonne Universités, UVSQ, CNRS, Paris, France
Kathy S. Law
LATMOS/IPSL, UPMC Univ. Paris 06 Sorbonne Universités, UVSQ, CNRS, Paris, France
Larry K. Berg
Pacific Northwest National Laboratory, Richland, WA, USA
Jerome D. Fast
Pacific Northwest National Laboratory, Richland, WA, USA
Richard C. Easter
Pacific Northwest National Laboratory, Richland, WA, USA
Manish Shrivastava
Pacific Northwest National Laboratory, Richland, WA, USA
Jennie L. Thomas
LATMOS/IPSL, UPMC Univ. Paris 06 Sorbonne Universités, UVSQ, CNRS, Paris, France
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- Natural processes dominate the pollution levels during COVID-19 lockdown over India V. Madineni et al. 10.1038/s41598-021-94373-4
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- Accuracy of current Arctic springtime water vapour estimates, assessed by Raman lidar J. Totems et al. 10.1002/qj.3492
- Impact of afforestation on surface ozone in the North China Plain during the three-decade period X. Zhang et al. 10.1016/j.agrformet.2020.107979
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- Investigation of distribution, transportation, and impact factors of atmospheric black carbon in the Arctic region based on a regional climate-chemistry model X. Chen et al. 10.1016/j.envpol.2019.113127
- Performance of PALM-4U/WRF model for simulating the urban meteorology of King Abdullah University of Science and Technology (KAUST), Saudi Arabia R. Thiruridathil et al. 10.1016/j.uclim.2024.102162
- Overview of the Alaskan Layered Pollution and Chemical Analysis (ALPACA) Field Experiment W. Simpson et al. 10.1021/acsestair.3c00076
- Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) – concept and initial results T. Petäjä et al. 10.5194/acp-20-8551-2020
- Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties E. Bossioli et al. 10.1029/2020JD033291
- Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition F. Baladima et al. 10.1029/2021JD035745
- The Role of Snow in Controlling Halogen Chemistry and Boundary Layer Oxidation During Arctic Spring: A 1D Modeling Case Study S. Ahmed et al. 10.1029/2021JD036140
- Modeling the contribution of leads to sea spray aerosol in the high Arctic R. Lapere et al. 10.5194/acp-24-12107-2024
28 citations as recorded by crossref.
- Tethered balloon system and High-Resolution Mass Spectrometry Reveal Increased Organonitrates Aloft Compared to the Ground Level G. Vandergrift et al. 10.1021/acs.est.4c02090
- Springtime aerosol load as observed from ground-based and airborne lidars over northern Norway P. Chazette et al. 10.5194/acp-18-13075-2018
- Current and Future Arctic Aerosols and Ozone From Remote Emissions and Emerging Local Sources—Modeled Source Contributions and Radiative Effects L. Marelle et al. 10.1029/2018JD028863
- Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer – a modelling study R. Ghahreman et al. 10.5194/acp-19-14455-2019
- Investigation of black carbon climate effects in the Arctic in winter and spring X. Chen et al. 10.1016/j.scitotenv.2020.142145
- Modelling wintertime sea-spray aerosols under Arctic haze conditions E. Ioannidis et al. 10.5194/acp-23-5641-2023
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model D. Goto et al. 10.5194/gmd-13-3731-2020
- Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e W. van Caspel et al. 10.5194/gmd-16-7433-2023
- Impact of shipping emissions on air pollution and pollutant deposition over the Barents Sea J. Raut et al. 10.1016/j.envpol.2022.118832
- Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
- Coal Is Dirty, but Where It Is Burned Especially Matters X. Yun et al. 10.1021/acs.est.1c01148
- Implementation and Impacts of Surface and Blowing Snow Sources of Arctic Bromine Activation Within WRF‐Chem 4.1.1 L. Marelle et al. 10.1029/2020MS002391
- 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
- Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring S. Ahmed et al. 10.1525/elementa.2022.00129
- Natural processes dominate the pollution levels during COVID-19 lockdown over India V. Madineni et al. 10.1038/s41598-021-94373-4
- Source sector and region contributions to black carbon and PM<sub>2.5</sub> in the Arctic N. Sobhani et al. 10.5194/acp-18-18123-2018
- Accuracy of current Arctic springtime water vapour estimates, assessed by Raman lidar J. Totems et al. 10.1002/qj.3492
- Impact of afforestation on surface ozone in the North China Plain during the three-decade period X. Zhang et al. 10.1016/j.agrformet.2020.107979
- Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements V. Flood et al. 10.5194/acp-24-1079-2024
- Investigation of distribution, transportation, and impact factors of atmospheric black carbon in the Arctic region based on a regional climate-chemistry model X. Chen et al. 10.1016/j.envpol.2019.113127
- Performance of PALM-4U/WRF model for simulating the urban meteorology of King Abdullah University of Science and Technology (KAUST), Saudi Arabia R. Thiruridathil et al. 10.1016/j.uclim.2024.102162
- Overview of the Alaskan Layered Pollution and Chemical Analysis (ALPACA) Field Experiment W. Simpson et al. 10.1021/acsestair.3c00076
- Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) – concept and initial results T. Petäjä et al. 10.5194/acp-20-8551-2020
- Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties E. Bossioli et al. 10.1029/2020JD033291
- Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition F. Baladima et al. 10.1029/2021JD035745
- The Role of Snow in Controlling Halogen Chemistry and Boundary Layer Oxidation During Arctic Spring: A 1D Modeling Case Study S. Ahmed et al. 10.1029/2021JD036140
- Modeling the contribution of leads to sea spray aerosol in the high Arctic R. Lapere et al. 10.5194/acp-24-12107-2024
Saved (final revised paper)
Latest update: 20 Nov 2024
Short summary
We develop the WRF-Chem 3.5.1 model to improve simulations of aerosols and ozone in the Arctic. Both species are important air pollutants and climate forcers, but models often struggle to reproduce observations in the Arctic. Our developments concern pollutant emissions, mixing, chemistry, and removal, including processes related to snow and sea ice. The effect of these changes are quantitatively validated against observations, showing significant improvements compared to the original model.
We develop the WRF-Chem 3.5.1 model to improve simulations of aerosols and ozone in the Arctic....
