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  Evaluation and uncertainty investigation of the NO2, CO and NH3 modeling over China under the framework of MICS-Asia III

Kong, L., Tang, X., Zhu, J., Wang, Z., Fu, J. S., Wang, X., et al. (2020). Evaluation and uncertainty investigation of the NO2, CO and NH3 modeling over China under the framework of MICS-Asia III. Atmospheric Chemistry and Physics, 20(1), 181-202. doi:10.5194/acp-20-181-2020.

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Kong, Lei1, Author
Tang, Xiao1, Author
Zhu, Jiang1, Author
Wang, Zifa1, Author
Fu, Joshua S.1, Author
Wang, Xuemei1, Author
Itahashi, Syuichi1, Author
Yamaji, Kazuyo1, Author
Nagashima, Tatsuya1, Author
Lee, Hyo-Jung1, Author
Kim, Cheol-Hee1, Author
Lin, Chuan-Yao1, Author
Chen, Lei1, Author
Zhang, Meigen1, Author
Tao, Zhining1, Author
Li, Jie1, Author
Kajino, Mizuo1, Author
Liao, Hong1, Author
Wang, Zhe1, Author
Sudo, Kengo1, Author
Wang, Yuesi1, AuthorPan, Yuepeng1, AuthorTang, Guiqian1, AuthorLi, Meng2, Author           Wu, Qizhong1, AuthorGe, Baozhu1, AuthorCarmichael, Gregory R.1, Author more..
1external, ou_persistent22              
2Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              


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 Abstract: Despite the significant progress in improving chemical transport models (CTMs), applications of these modeling endeavors are still subject to large and complex model uncertainty. The Model Inter-Comparison Study for Asia III (MICS-Asia III) has provided the opportunity to assess the capability and uncertainty of current CTMs in East Asian applications. In this study, we have evaluated the multi-model simulations of nitrogen dioxide (NO2), carbon monoxide (CO) and ammonia (NH3) over China under the framework of MICS-Asia III. A total of 13 modeling results, provided by several independent groups from different countries and regions, were used in this study. Most of these models used the same modeling domain with a horizontal resolution of 45 km and were driven by common emission inventories and meteorological inputs. New observations over the North China Plain (NCP) and Pearl River Delta (PRD) regions were also available in MICS-Asia III, allowing the model evaluations over highly industrialized regions. The evaluation results show that most models captured the monthly and spatial patterns of NO2 concentrations in the NCP region well, though NO2 levels were slightly underestimated. Relatively poor performance in NO2 simulations was found in the PRD region, with larger root-mean-square error and lower spatial correlation coefficients, which may be related to the coarse resolution or inappropriate spatial allocations of the emission inventories in the PRD region. All models significantly underpredicted CO concentrations in both the NCP and PRD regions, with annual mean concentrations that were 65.4 % and 61.4 % underestimated by the ensemble mean. Such large underestimations suggest that CO emissions might be underestimated in the current emission inventory. In contrast to the good skills for simulating the monthly variations in NO2 and CO concentrations, all models failed to reproduce the observed monthly variations in NH3 concentrations in the NCP region. Most models mismatched the observed peak in July and showed negative correlation coefficients with the observations, which may be closely related to the uncertainty in the monthly variations in NH3 emissions and the NH3 gas–aerosol partitioning. Finally, model intercomparisons have been conducted to quantify the impacts of model uncertainty on the simulations of these gases, which are shown to increase with the reactivity of species. Models contained more uncertainty in the NH3 simulations. This suggests that for some highly active and/or short-lived primary pollutants, like NH3, model uncertainty can also take a great part in the forecast uncertainty in addition to the emission uncertainty. Based on these results, some recommendations are made for future studies.


Language(s): eng - English
 Dates: 2020-01-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000505953600001
DOI: 10.5194/acp-20-181-2020
 Degree: -



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Title: Atmospheric Chemistry and Physics
  Abbreviation : ACP
Source Genre: Journal
Publ. Info: Göttingen : Copernicus Publications
Pages: - Volume / Issue: 20 (1) Sequence Number: - Start / End Page: 181 - 202 Identifier: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016