Downscaling system for modeling of atmospheric composition on regional, urban and street scales
<p>In this study, the downscaling modeling chain for prediction of weather and atmospheric composition is described and evaluated against observations. The chain consists of interfacing models for forecasting at different spatiotemporal scales that run in a semi-operational mode. The forecasts...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-07-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/21/11099/2021/acp-21-11099-2021.pdf |
| _version_ | 1830511978961960960 |
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| author | R. Nuterman A. Mahura A. Baklanov A. Baklanov B. Amstrup A. Zakey |
| author_facet | R. Nuterman A. Mahura A. Baklanov A. Baklanov B. Amstrup A. Zakey |
| author_sort | R. Nuterman |
| collection | DOAJ |
| description | <p>In this study, the downscaling modeling chain for
prediction of weather and atmospheric composition is described and evaluated
against observations. The chain consists of interfacing models for
forecasting at different spatiotemporal scales that run in a
semi-operational mode. The forecasts were performed for European (EU)
regional and Danish (DK) subregional-urban scales by the offline coupled
numerical weather prediction HIRLAM and atmospheric chemical transport CAMx
models, and for Copenhagen city-street scale by the online coupled
computational fluid dynamics M2UE model.</p>
<p>The results showed elevated NO<span class="inline-formula"><sub><i>x</i></sub></span> and lowered O<span class="inline-formula"><sub>3</sub></span> concentrations
over major urban, industrial, and transport land and water routes in both the EU
and DK domain forecasts. The O<span class="inline-formula"><sub>3</sub></span> diurnal cycle predictions in both these
domains were equally good, although O<span class="inline-formula"><sub>3</sub></span> values were closer to
observations for Denmark. At the same time, the DK forecast of NO<span class="inline-formula"><sub><i>x</i></sub></span>
and NO<span class="inline-formula"><sub>2</sub></span> levels was more biased (with a better prediction score of the
diurnal cycle) than the EU forecast, indicating a necessity to adjust emission
rates. Further downscaling to the street level (Copenhagen) indicated that
the NO<span class="inline-formula"><sub><i>x</i></sub></span> pollution was 2-fold higher on weekends and more than 5 times
higher during the working day with high pollution episodes. Despite high
uncertainty in road traffic emissions, the street-scale model effectively captured
the NO<span class="inline-formula"><sub><i>x</i></sub></span> and NO<span class="inline-formula"><sub>2</sub></span> diurnal cycles and the onset of elevated pollution
episodes.</p>
<p>The demonstrated downscaling system could be used in future online
integrated meteorology and air quality research and operational forecasting,
as well as for impact assessments on environment, population, and
decision making for emergency preparedness and safety measures planning.</p> |
| first_indexed | 2024-12-22T02:19:55Z |
| format | Article |
| id | doaj.art-8d6d4909a60f48c491173f7a95c90c9f |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-22T02:19:55Z |
| publishDate | 2021-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-8d6d4909a60f48c491173f7a95c90c9f2022-12-21T18:42:10ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-07-0121110991111210.5194/acp-21-11099-2021Downscaling system for modeling of atmospheric composition on regional, urban and street scalesR. Nuterman0A. Mahura1A. Baklanov2A. Baklanov3B. Amstrup4A. Zakey5Niels Bohr Institute, University of Copenhagen, Copenhagen, 2100, DenmarkInstitute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00560, FinlandNiels Bohr Institute, University of Copenhagen, Copenhagen, 2100, DenmarkScience and Innovation Department, World Meteorological Organization, Geneva 2, 1211, SwitzerlandResearch Department, Danish Meteorological Institute, Copenhagen, 2100, DenmarkEgyptian Meteorological Authority, Cairo, 11784, Egypt<p>In this study, the downscaling modeling chain for prediction of weather and atmospheric composition is described and evaluated against observations. The chain consists of interfacing models for forecasting at different spatiotemporal scales that run in a semi-operational mode. The forecasts were performed for European (EU) regional and Danish (DK) subregional-urban scales by the offline coupled numerical weather prediction HIRLAM and atmospheric chemical transport CAMx models, and for Copenhagen city-street scale by the online coupled computational fluid dynamics M2UE model.</p> <p>The results showed elevated NO<span class="inline-formula"><sub><i>x</i></sub></span> and lowered O<span class="inline-formula"><sub>3</sub></span> concentrations over major urban, industrial, and transport land and water routes in both the EU and DK domain forecasts. The O<span class="inline-formula"><sub>3</sub></span> diurnal cycle predictions in both these domains were equally good, although O<span class="inline-formula"><sub>3</sub></span> values were closer to observations for Denmark. At the same time, the DK forecast of NO<span class="inline-formula"><sub><i>x</i></sub></span> and NO<span class="inline-formula"><sub>2</sub></span> levels was more biased (with a better prediction score of the diurnal cycle) than the EU forecast, indicating a necessity to adjust emission rates. Further downscaling to the street level (Copenhagen) indicated that the NO<span class="inline-formula"><sub><i>x</i></sub></span> pollution was 2-fold higher on weekends and more than 5 times higher during the working day with high pollution episodes. Despite high uncertainty in road traffic emissions, the street-scale model effectively captured the NO<span class="inline-formula"><sub><i>x</i></sub></span> and NO<span class="inline-formula"><sub>2</sub></span> diurnal cycles and the onset of elevated pollution episodes.</p> <p>The demonstrated downscaling system could be used in future online integrated meteorology and air quality research and operational forecasting, as well as for impact assessments on environment, population, and decision making for emergency preparedness and safety measures planning.</p>https://acp.copernicus.org/articles/21/11099/2021/acp-21-11099-2021.pdf |
| spellingShingle | R. Nuterman A. Mahura A. Baklanov A. Baklanov B. Amstrup A. Zakey Downscaling system for modeling of atmospheric composition on regional, urban and street scales Atmospheric Chemistry and Physics |
| title | Downscaling system for modeling of atmospheric composition on regional, urban and street scales |
| title_full | Downscaling system for modeling of atmospheric composition on regional, urban and street scales |
| title_fullStr | Downscaling system for modeling of atmospheric composition on regional, urban and street scales |
| title_full_unstemmed | Downscaling system for modeling of atmospheric composition on regional, urban and street scales |
| title_short | Downscaling system for modeling of atmospheric composition on regional, urban and street scales |
| title_sort | downscaling system for modeling of atmospheric composition on regional urban and street scales |
| url | https://acp.copernicus.org/articles/21/11099/2021/acp-21-11099-2021.pdf |
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