Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III
<p>Horizontal grid resolution has a profound effect on model performances on meteorology and air quality simulations. In contribution to MICS-Asia Phase III, one of whose goals was to identify and reduce model uncertainty in air quality prediction, this study examined the impact of grid resolu...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-02-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/20/2319/2020/acp-20-2319-2020.pdf |
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doaj-2e95b824e684423f828183fce68dae23 |
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Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Z. Tao Z. Tao M. Chin M. Gao T. Kucsera T. Kucsera D. Kim D. Kim H. Bian H. Bian J. Kurokawa Y. Wang Z. Liu G. R. Carmichael Z. Wang Z. Wang Z. Wang H. Akimoto |
| spellingShingle |
Z. Tao Z. Tao M. Chin M. Gao T. Kucsera T. Kucsera D. Kim D. Kim H. Bian H. Bian J. Kurokawa Y. Wang Z. Liu G. R. Carmichael Z. Wang Z. Wang Z. Wang H. Akimoto Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III Atmospheric Chemistry and Physics |
| author_facet |
Z. Tao Z. Tao M. Chin M. Gao T. Kucsera T. Kucsera D. Kim D. Kim H. Bian H. Bian J. Kurokawa Y. Wang Z. Liu G. R. Carmichael Z. Wang Z. Wang Z. Wang H. Akimoto |
| author_sort |
Z. Tao |
| title |
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III |
| title_short |
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III |
| title_full |
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III |
| title_fullStr |
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III |
| title_full_unstemmed |
Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III |
| title_sort |
evaluation of nu-wrf model performance on air quality simulation under various model resolutions – an investigation within the framework of mics-asia phase iii |
| publisher |
Copernicus Publications |
| series |
Atmospheric Chemistry and Physics |
| issn |
1680-7316 1680-7324 |
| publishDate |
2020-02-01 |
| description |
<p>Horizontal grid resolution has a profound effect on model performances on
meteorology and air quality simulations. In contribution to MICS-Asia Phase III, one of whose goals was to identify and reduce model uncertainty in air quality prediction, this study examined the impact of grid resolution on meteorology and air quality simulation over East Asia, focusing on the North China Plain (NCP) region. The NASA Unified Weather Research and Forecasting (NU-WRF) model has been applied with the horizontal resolutions at 45, 15, and 5 km. The results revealed that, in comparison with ground observations, no single resolution can yield the best model performance for all variables across all stations. From a regional average perspective (i.e., across all monitoring sites), air temperature modeling was not sensitive to the grid resolution but wind and precipitation simulation showed the opposite. NU-WRF with the 5 km grid simulated the wind speed best, while the 45 km grid yielded the most realistic precipitation as compared to the site observations. For air quality simulations, finer resolution generally led to better comparisons with observations for <span class="inline-formula">O<sub>3</sub></span>, CO, <span class="inline-formula">NO<sub><i>x</i></sub></span>, and PM<span class="inline-formula"><sub>2.5</sub></span>. However, the improvement of model performance on air quality was not linear with the resolution increase. The accuracy of modeled surface <span class="inline-formula">O<sub>3</sub></span> of the 15 km grid was greatly improved over the one from the 45 km grid. A further increase in grid resolution to 5 km, however, showed diminished impact on model performance improvement on <span class="inline-formula">O<sub>3</sub></span> prediction. In addition, a 5 km resolution grid showed large advantage in better capturing the frequency of high-pollution occurrences. This was important for the assessment of noncompliance with ambient air quality standards, which was key to air quality planning and management. Balancing the modeling accuracy and resource limitation, a 15 km grid resolution was suggested for future MICS-Asia air quality modeling activity if the research region remained unchanged. This investigation also found a large overestimate of ground-level <span class="inline-formula">O<sub>3</sub></span> and an underestimate of surface <span class="inline-formula">NO<sub><i>x</i></sub></span> and CO, likely due to missing emissions of <span class="inline-formula">NO<sub><i>x</i></sub></span> and CO.</p> |
| url |
https://www.atmos-chem-phys.net/20/2319/2020/acp-20-2319-2020.pdf |
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doaj-2e95b824e684423f828183fce68dae232020-11-25T03:08:47ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242020-02-01202319233910.5194/acp-20-2319-2020Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase IIIZ. Tao0Z. Tao1M. Chin2M. Gao3T. Kucsera4T. Kucsera5D. Kim6D. Kim7H. Bian8H. Bian9J. Kurokawa10Y. Wang11Z. Liu12G. R. Carmichael13Z. Wang14Z. Wang15Z. Wang16H. Akimoto17Universities Space Research Association, Columbia, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USAUniversities Space Research Association, Columbia, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAUniversities Space Research Association, Columbia, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAUniversity of Maryland, Baltimore County, Baltimore, MD, USAJapan Environmental Sanitation Center, Asia Center for Air Pollution Research, Niigata, 950-2144, JapanState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaCenter for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USAState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaCollege of Earth Sciences, University of the Chinese Academy of Sciences, Beijing, 100049, ChinaCenter for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, ChinaNational Institute for Environmental Studies, Onogawa, Tsukuba, 305-8506, Japan<p>Horizontal grid resolution has a profound effect on model performances on meteorology and air quality simulations. In contribution to MICS-Asia Phase III, one of whose goals was to identify and reduce model uncertainty in air quality prediction, this study examined the impact of grid resolution on meteorology and air quality simulation over East Asia, focusing on the North China Plain (NCP) region. The NASA Unified Weather Research and Forecasting (NU-WRF) model has been applied with the horizontal resolutions at 45, 15, and 5 km. The results revealed that, in comparison with ground observations, no single resolution can yield the best model performance for all variables across all stations. From a regional average perspective (i.e., across all monitoring sites), air temperature modeling was not sensitive to the grid resolution but wind and precipitation simulation showed the opposite. NU-WRF with the 5 km grid simulated the wind speed best, while the 45 km grid yielded the most realistic precipitation as compared to the site observations. For air quality simulations, finer resolution generally led to better comparisons with observations for <span class="inline-formula">O<sub>3</sub></span>, CO, <span class="inline-formula">NO<sub><i>x</i></sub></span>, and PM<span class="inline-formula"><sub>2.5</sub></span>. However, the improvement of model performance on air quality was not linear with the resolution increase. The accuracy of modeled surface <span class="inline-formula">O<sub>3</sub></span> of the 15 km grid was greatly improved over the one from the 45 km grid. A further increase in grid resolution to 5 km, however, showed diminished impact on model performance improvement on <span class="inline-formula">O<sub>3</sub></span> prediction. In addition, a 5 km resolution grid showed large advantage in better capturing the frequency of high-pollution occurrences. This was important for the assessment of noncompliance with ambient air quality standards, which was key to air quality planning and management. Balancing the modeling accuracy and resource limitation, a 15 km grid resolution was suggested for future MICS-Asia air quality modeling activity if the research region remained unchanged. This investigation also found a large overestimate of ground-level <span class="inline-formula">O<sub>3</sub></span> and an underestimate of surface <span class="inline-formula">NO<sub><i>x</i></sub></span> and CO, likely due to missing emissions of <span class="inline-formula">NO<sub><i>x</i></sub></span> and CO.</p>https://www.atmos-chem-phys.net/20/2319/2020/acp-20-2319-2020.pdf |