Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Preprints
https://doi.org/10.5194/acp-2020-237
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-237
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 Jul 2020

09 Jul 2020

Review status
This preprint is currently under review for the journal ACP.

Recommendations on benchmarks for photochemical grid model applications in China: Part I – PM2.5 and chemical species

Ling Huang1, Yangjun Wang1, Hehe Zhai1, Shuhui Xue1, Tianyi Zhu1, Yun Shao1, Ziyi Liu1, Chris Emery2, Joshua Fu3, Kun Zhang1, Greg Yarwood2, and Li Li1 Ling Huang et al.
  • 1School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China
  • 2Ramboll, Novato, California, 95995, USA
  • 3Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA

Abstract. Photochemical grid models (PGMs) are being applied more frequently to address diverse scientific and regulatory compliance associated with deteriorated air quality in China for the past decade. Solid evaluation of model performances guarantees the robustness and reliability of the baseline modelling results, so subsequent applications are built on top of it; thus, model performance evaluation (MPE) is a critical step of any PGM applications. MPE procedures and associated benchmarks have been proposed for PGM applications in the United States and Europe. However, with numerous input data needed, diverse model configurations, and evolution of the model itself, no two PGM applications are exactly the same. Therefore, those MPE benchmarks proposed based on studies outside China may not be appropriate for evaluation of the increasing number of PGM applications in China. Here we follow an established approach as published in previous literatures, to recommend statistical benchmarks for evaluation of simulated particulate matter (PM) concentrations in China. A total of 128 peer-reviewed articles published between 2006 and mid-2019 that applied one of four most frequently used PGMs in China are compiled to summarize operational model performance results. Quantile distributions of common statistical metrics are presented for total PM2.5 and speciated components. Influences of different model configurations, including modelling regions and seasons, spatial resolution of modelling grids, temporal resolution of MPE, etc., on the range of reported statistics are discussed. Benchmarks for four frequently used evaluation metrics are provided for two tiers – “goals” and “criteria”, where “goals” represent the best model performance that a model is currently expected to achieve and “criteria” represent the model performance that the majority (i.e. two thirds) of studies can meet. Our proposed benchmarks are further compared with those developed for United States and Europe. Additional recommendations for MPE practices are also given. Results from this study shall help the ever-growing modelling community in China to have a better objective assessment of how well their simulation results are compared with previous studies and to better demonstrate the credibility and robustness of their PGM applications prior to subsequent regulatory assessments.

Ling Huang et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Ling Huang et al.

Ling Huang et al.

Viewed

Total article views: 187 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
138 43 6 187 6 9
  • HTML: 138
  • PDF: 43
  • XML: 6
  • Total: 187
  • BibTeX: 6
  • EndNote: 9
Views and downloads (calculated since 09 Jul 2020)
Cumulative views and downloads (calculated since 09 Jul 2020)

Viewed (geographical distribution)

Total article views: 279 (including HTML, PDF, and XML) Thereof 279 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 29 Sep 2020
Publications Copernicus
Download
Short summary
Photochemical grid models (PGMs) are being applied extensively to address diverse scientific and regulatory compliance associated with deteriorated air quality in China. For any PGM applications, model performance evaluation is a critical step that guarantees the robustness and reliability of the baseline modeling results and subsequent applications. We provided benchmarks for model performance evaluation of PGM applications in China to demonstrate model robustness.
Photochemical grid models (PGMs) are being applied extensively to address diverse scientific and...
Citation
Altmetrics