The impact of multi-species surface chemical observation assimilation on air quality forecasts in China

Peng, Zhen; Lei, Lili; Liu, Zhiquan; Sun, Jianning; Ding, Aijun; Ban, Junmei; Chen, Dan; Kou, Xingxia; Chu, Kekuan

doi:https://doi.org/10.5194/acp-18-17387-2018

Articles | Volume 18, issue 23

https://doi.org/10.5194/acp-18-17387-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Regional transport and transformation of air pollution in...

https://doi.org/10.5194/acp-18-17387-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 23

Research article

|

07 Dec 2018

Research article |

| 07 Dec 2018

The impact of multi-species surface chemical observation assimilation on air quality forecasts in China

Zhen Peng, Lili Lei, Zhiquan Liu, Jianning Sun, Aijun Ding, Junmei Ban, Dan Chen, Xingxia Kou, and Kekuan Chu

Data sets

Global Forecast System (GFS) Analysis National Centers for Environmental Prediction (NCEP) https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs

GFS observations Ministry of Environmental Protection (MEP) http://113.108.142.147:20035/emcpublish/

Model code and software

WRF Source Codes and Graphics Software National Center for Atmospheric Research (NCAR) http://www2.mmm.ucar.edu/wrf/users/download/get_source.html

Short summary

An EnKF system was developed to simultaneously assimilate multiple surface measurements, including PM₁₀, PM_2.5, SO₂, NO₂, O₃, and CO, via the joint adjustment of ICs and source emissions. Large improvements were achieved in the first 24 h forecast for PM_2.5, PM₁₀, SO₂, and CO during an extreme haze episode that occurred in early October 2014 over the North China Plain, but no improvements were achieved for NO₂ and O₃.