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Evaluation of the prediction performance of air quality numerical forecast models in Shenzhen

  • Published:2023-12 Issue: Volume:314 Page:120058
  • ISSN:1352-2310
  • Container-title:Atmospheric Environment
  • language:en
  • Short-container-title:Atmospheric Environment

Author:

Liu ChanfangORCID,Wu ChengyuORCID,Kang Xinyuan,Zhang Hanlu,Fang Qing,Su Yueyuan,Li Zhiyong,Ye Yujing,Chang MingORCID,Guo Jianfeng

Funder

Department of Science and Technology of Guangdong Province

Science, Technology and Innovation Commission of Shenzhen Municipality

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference49 articles.

1. SmotednMOTEDNN: a novel model for air pollution forecasting and AQI classiffcation;Anul Haq;Comput. Mater. Continua (CMC),2022

2. Advances in air quality modeling and forecasting;Baklanov;Global Transitions,2020

3. The parametrization of surface fluxes in large‐scale models under free convection;Beljaars;Q. J. R. Meteorol. Soc.,1995

4. PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models;Boylan;Atmos. Environ.,2006

5. Calibrating the CAMS European multi-model air quality forecasts for regional air pollution monitoring;Casciaro;Atmos. Environ.,2022

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