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Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology

Li, Jiali and Yu, Shaocai and Chen, Xue and Zhang, Yibo and Li, Mengying and Li, Zhen and Song, Zhe and Liu, Weiping and Li, Pengfei and Xie, Min and Xing, Jia (2022) Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology. Aerosol and Air Quality Research, 22 (4). Art. No. 220023. ISSN 1680-8584. doi:10.4209/aaqr.220023. https://resolver.caltech.edu/CaltechAUTHORS:20220617-18734400

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Abstract

Accurate meteorological fields are imperative for correct air quality modeling through their influence on the various chemical species in the atmosphere. In this study, the simulations from the Community Multiscale Air Quality (CMAQ) model were conducted with meteorological fields generated by the Weather Research and Forecasting (WRF) using the original and observation nudging approaches to investigate if the better model performances for PM_(2.5), O₃, and their related precursors in China were produced from the latter. Two pollution episodes (one for PM_(2.5) and another for O₃) in 2018 were selected on the basis of the observations at the monitoring supersites in Xianghe and Taizhou cities. The results showed that the Nudging cases had better model performances on all meteorological parameters with higher values of index of agreement (IOA) and lower values of mean bias (MB). It was found that the Nudging case improved model performances for PM_(2.5) and its chemical components at the Xianghe site with lower values of normalized mean bias (NMB) and higher values of correlation coefficient (R) than the base case. The results for the regional PM2.5 over China indicated that the Nudging case reproduced the spatial patterns of mean PM_(2.5) concentrations in the 367 cities with the NMB value of –31%, much better than –42.0% in the base case. During the O₃ pollution episode, the Nudging case improved the model performances for O₃, CO, NO₂, and VOCs with lower NMB values and higher R values than the base case. The results of regional O₃ over China revealed that the Nudging case reproduced the spatial patterns of observed mean O₃ concentrations in the 367 cities very well with the NMB value of 0.97%, much lower than –5.67% in the base case. The results of this study have great implications for better simulations of meteorology and air quality.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.4209/aaqr.220023DOIArticle
ORCID:
AuthorORCID
Yu, Shaocai0000-0001-9718-8246
Liu, Weiping0000-0002-1173-892X
Additional Information:© 2022 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited. Received: January 16, 2022; Revised: February 16, 2022; Accepted: March 10, 2022. This study is supported by the National Natural Science Foundation of China (No. 42175084, 21577126, 41561144004), Department of Science and Technology of China (No. 2018YFC0213506 and 2018YFC0213503), and National Research Program for Key Issues in Air Pollution Control in China (No. DQGG0107). Pengfei Li is supported by National Natural Science Foundation of China (No. 22006030), Initiation Fund for Introducing Talents of Hebei Agricultural University (412201904), and Hebei Youth Top Fund (BJ2020032).
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China42175084
National Natural Science Foundation of China21577126
National Natural Science Foundation of China41561144004
Department of Science and Technology (China)2018YFC0213506
Department of Science and Technology (China)2018YFC0213503
National Research Program for Key Issues in Air Pollution Control in ChinaDQGG0107
National Natural Science Foundation of China22006030
Hebei Agricultural University412201904
Hebei Youth Top FundBJ2020032
Subject Keywords:PM2.5, Ozone, WRF-CMAQ, Nudging, China
Issue or Number:4
DOI:10.4209/aaqr.220023
Record Number:CaltechAUTHORS:20220617-18734400
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220617-18734400
Official Citation:Li, J., Yu, S., Chen, X., Zhang, Y., Li, M., Li, Z., Song, Z., Liu, W., Li, P., Xie, M., Xing, J. (2022). Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology. Aerosol Air Qual. Res. 22, 220023. https://doi.org/10.4209/aaqr.220023
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:115194
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 Jun 2022 23:50
Last Modified:28 Jun 2022 19:31

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