Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1)
Abstract This study introduces a new chemistry option in the Weather Research and Forecasting model data assimilation (WRFDA) system, coupled with the WRF‐Chem model (Version 4.4.1), to incorporate aqueous chemistry (AQCHEM) in the assimilation of ground‐level chemical measurements. The new DA capab...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2024-02-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023MS003928 |
| _version_ | 1826946630157336576 |
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| author | Soyoung Ha Rajesh Kumar Gabriele Pfister Yonghee Lee Daegyun Lee Hyun Mee Kim Young‐Hee Ryu |
| author_facet | Soyoung Ha Rajesh Kumar Gabriele Pfister Yonghee Lee Daegyun Lee Hyun Mee Kim Young‐Hee Ryu |
| author_sort | Soyoung Ha |
| collection | DOAJ |
| description | Abstract This study introduces a new chemistry option in the Weather Research and Forecasting model data assimilation (WRFDA) system, coupled with the WRF‐Chem model (Version 4.4.1), to incorporate aqueous chemistry (AQCHEM) in the assimilation of ground‐level chemical measurements. The new DA capability includes the integration of aqueous‐phase aerosols from the Regional Atmospheric Chemistry Mechanism (RACM) gas chemistry, the Modal Aerosol Dynamics Model for Europe (MADE) aerosol chemistry, and the Volatility Basis Set (VBS) for secondary organic aerosol production. The RACM‐MADE‐VBS‐AQCHEM scheme facilitates aerosol‐cloud‐precipitation interactions by activating aerosol particles in cloud water during the model simulation. With the goal of enhancing air quality forecasting in cloudy conditions, this new implementation is demonstrated in the weakly coupled three‐dimensional variational data assimilation (3D‐Var) system through regional air quality cycling over East Asia. Surface particulate matter (PM) concentrations and four gas species (SO2, NO2, O3, and CO) are assimilated every 6 hr for the month of March 2019. The results show that including aqueous‐phase aerosols in both the analysis and forecast can represent aerosol wet removal processes associated with cloud development and rainfall production. During a pollution event with high cloud cover, simulations without aerosols defined in cloud water exhibit significantly higher values for liquid water path, and surface PM10 (PM2.5) concentrations are overestimated by a factor of 10 (3) when wet scavenging processes dominate. On the contrary, AQCHEM proves to be helpful in simulating the wet deposition of aerosols, accurately predicting the evolution of surface PM concentrations without such overestimation. |
| first_indexed | 2024-03-07T21:30:36Z |
| format | Article |
| id | doaj.art-4d2d765204b343deb7398e3f5121f29a |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2025-02-17T21:16:07Z |
| publishDate | 2024-02-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-4d2d765204b343deb7398e3f5121f29a2024-12-07T16:07:03ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662024-02-01162n/an/a10.1029/2023MS003928Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1)Soyoung Ha0Rajesh Kumar1Gabriele Pfister2Yonghee Lee3Daegyun Lee4Hyun Mee Kim5Young‐Hee Ryu6National Center for Atmospheric Research Boulder CO USANational Center for Atmospheric Research Boulder CO USANational Center for Atmospheric Research Boulder CO USAAir Quality Forecasting Center National Institute of Environmental Research Incheon Republic of KoreaAir Quality Forecasting Center National Institute of Environmental Research Incheon Republic of KoreaDepartment of Atmospheric Sciences Yonsei University Seoul Republic of KoreaDepartment of Atmospheric Sciences Yonsei University Seoul Republic of KoreaAbstract This study introduces a new chemistry option in the Weather Research and Forecasting model data assimilation (WRFDA) system, coupled with the WRF‐Chem model (Version 4.4.1), to incorporate aqueous chemistry (AQCHEM) in the assimilation of ground‐level chemical measurements. The new DA capability includes the integration of aqueous‐phase aerosols from the Regional Atmospheric Chemistry Mechanism (RACM) gas chemistry, the Modal Aerosol Dynamics Model for Europe (MADE) aerosol chemistry, and the Volatility Basis Set (VBS) for secondary organic aerosol production. The RACM‐MADE‐VBS‐AQCHEM scheme facilitates aerosol‐cloud‐precipitation interactions by activating aerosol particles in cloud water during the model simulation. With the goal of enhancing air quality forecasting in cloudy conditions, this new implementation is demonstrated in the weakly coupled three‐dimensional variational data assimilation (3D‐Var) system through regional air quality cycling over East Asia. Surface particulate matter (PM) concentrations and four gas species (SO2, NO2, O3, and CO) are assimilated every 6 hr for the month of March 2019. The results show that including aqueous‐phase aerosols in both the analysis and forecast can represent aerosol wet removal processes associated with cloud development and rainfall production. During a pollution event with high cloud cover, simulations without aerosols defined in cloud water exhibit significantly higher values for liquid water path, and surface PM10 (PM2.5) concentrations are overestimated by a factor of 10 (3) when wet scavenging processes dominate. On the contrary, AQCHEM proves to be helpful in simulating the wet deposition of aerosols, accurately predicting the evolution of surface PM concentrations without such overestimation.https://doi.org/10.1029/2023MS003928aerosol data assimilationaqueous chemistrywet deposition |
| spellingShingle | Soyoung Ha Rajesh Kumar Gabriele Pfister Yonghee Lee Daegyun Lee Hyun Mee Kim Young‐Hee Ryu Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) Journal of Advances in Modeling Earth Systems aerosol data assimilation aqueous chemistry wet deposition |
| title | Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) |
| title_full | Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) |
| title_fullStr | Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) |
| title_full_unstemmed | Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) |
| title_short | Chemical Data Assimilation With Aqueous Chemistry in WRF‐Chem Coupled With WRFDA (V4.4.1) |
| title_sort | chemical data assimilation with aqueous chemistry in wrf chem coupled with wrfda v4 4 1 |
| topic | aerosol data assimilation aqueous chemistry wet deposition |
| url | https://doi.org/10.1029/2023MS003928 |
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