Observationally constrained analysis on the distribution of fine- and coarse-mode nitrate in global models
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| Názov: | Observationally constrained analysis on the distribution of fine- and coarse-mode nitrate in global models |
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| Autori: | Wu, Mingxuan, Wang, Hailong, Lu, Zheng, Liu, Xiaohong, Bian, Huisheng, Cohen, David, Feng, Yan, Chin, Mian, Hauglustaine, Didier, Karydis, Vlassis, Lund, Marianne, Myhre, Gunnar, Pozzer, Andrea, Schulz, Michael, Skeie, Ragnhild, Tsimpidi, Alexandra, Tsyro, Svetlana, Xie, Shaocheng |
| Prispievatelia: | Aptel, Florence |
| Zdroj: | Atmospheric chemistry and physics 25(17), 10049-10074 (2025). doi:10.5194/acp-25-10049-2025 |
| Informácie o vydavateľovi: | Copernicus GmbH, 2025. |
| Rok vydania: | 2025 |
| Predmety: | [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment |
| Popis: | Nitrate plays an important role in the Earth system and air quality. A key challenge in simulating the life cycle of nitrate aerosol in global models is to accurately represent mass size distribution of nitrate aerosol. In this study, we evaluate the performance of the Energy Exascale Earth System Model version 2 (E3SMv2) and the Community Earth System Model version 2 (CESM2), along with Aerosol Comparisons between Observations and Models (AeroCom) phase III models, in simulating spatial distribution of fine-mode nitrate, the mass size distribution of fine- and coarse-mode nitrate, and the gas–aerosol partitioning between nitric acid gas and nitrate, using long-term ground-based observations and measurements from multiple aircraft campaigns. We find that most models underestimate the annual mean PM2.5 (particulate matter with diameter less than 2.5 µm) nitrate surface concentration averaged over all sites. The observed nitrate PM2.5 / PM10 and PM1 / PM4 ratios are influenced by the relative contribution of fine sulfate or organic particles and coarse dust or sea salt particles. Overall, the ground-based observations give an annual mean surface nitrate PM2.5 / PM10 ratio of 0.7. Most models underestimate the annual mean PM2.5 / PM10 ratio in all regions. There are large spreads in the modeled nitrate PM1 / PM4 ratios, which span the full range from 0 to 1. Most models underestimate the surface molar ratio of nitrate to total inorganic nitrate averaged across all sites. Our study indicates the importance of gas–aerosol partition parameterization and the simulation of dust and sea salt in correctly simulating the mass size distribution of nitrate. |
| Druh dokumentu: | Article Other literature type |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1680-7324 |
| DOI: | 10.5194/acp-25-10049-2025 |
| Prístupová URL adresa: | https://acp.copernicus.org/articles/25/10049/2025/ https://juser.fz-juelich.de/record/1046935 https://hal.science/hal-05271889v1 https://hal.science/hal-05271889v1/document https://doi.org/10.5194/acp-25-10049-2025 |
| Rights: | CC BY |
| Prístupové číslo: | edsair.doi.dedup.....e388b708a24aeec503f0b17d0a26878a |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Nitrate plays an important role in the Earth system and air quality. A key challenge in simulating the life cycle of nitrate aerosol in global models is to accurately represent mass size distribution of nitrate aerosol. In this study, we evaluate the performance of the Energy Exascale Earth System Model version 2 (E3SMv2) and the Community Earth System Model version 2 (CESM2), along with Aerosol Comparisons between Observations and Models (AeroCom) phase III models, in simulating spatial distribution of fine-mode nitrate, the mass size distribution of fine- and coarse-mode nitrate, and the gas–aerosol partitioning between nitric acid gas and nitrate, using long-term ground-based observations and measurements from multiple aircraft campaigns. We find that most models underestimate the annual mean PM2.5 (particulate matter with diameter less than 2.5 µm) nitrate surface concentration averaged over all sites. The observed nitrate PM2.5 / PM10 and PM1 / PM4 ratios are influenced by the relative contribution of fine sulfate or organic particles and coarse dust or sea salt particles. Overall, the ground-based observations give an annual mean surface nitrate PM2.5 / PM10 ratio of 0.7. Most models underestimate the annual mean PM2.5 / PM10 ratio in all regions. There are large spreads in the modeled nitrate PM1 / PM4 ratios, which span the full range from 0 to 1. Most models underestimate the surface molar ratio of nitrate to total inorganic nitrate averaged across all sites. Our study indicates the importance of gas–aerosol partition parameterization and the simulation of dust and sea salt in correctly simulating the mass size distribution of nitrate. |
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| ISSN: | 16807324 |
| DOI: | 10.5194/acp-25-10049-2025 |