Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17387-2018
https://doi.org/10.5194/acp-18-17387-2018
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

Related authors

Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions
Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou
Atmos. Chem. Phys., 23, 14505–14520, https://doi.org/10.5194/acp-23-14505-2023,https://doi.org/10.5194/acp-23-14505-2023, 2023
Short summary
The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS)
Xingxia Kou, Zhen Peng, Meigen Zhang, Fei Hu, Xiao Han, Ziming Li, and Lili Lei
Atmos. Chem. Phys., 23, 6719–6741, https://doi.org/10.5194/acp-23-6719-2023,https://doi.org/10.5194/acp-23-6719-2023, 2023
Short summary
Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter
Zhen Peng, Zhiquan Liu, Dan Chen, and Junmei Ban
Atmos. Chem. Phys., 17, 4837–4855, https://doi.org/10.5194/acp-17-4837-2017,https://doi.org/10.5194/acp-17-4837-2017, 2017
Short summary
A regional carbon data assimilation system and its preliminary evaluation in East Asia
Z. Peng, M. Zhang, X. Kou, X. Tian, and X. Ma
Atmos. Chem. Phys., 15, 1087–1104, https://doi.org/10.5194/acp-15-1087-2015,https://doi.org/10.5194/acp-15-1087-2015, 2015
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
How to trace the origins of short-lived atmospheric species: an Arctic example
Anderson Da Silva, Louis Marelle, Jean-Christophe Raut, Yvette Gramlich, Karolina Siegel, Sophie L. Haslett, Claudia Mohr, and Jennie L. Thomas
Atmos. Chem. Phys., 25, 5331–5354, https://doi.org/10.5194/acp-25-5331-2025,https://doi.org/10.5194/acp-25-5331-2025, 2025
Short summary
Dust-producing weather patterns of the North American Great Plains
Stuart Evans
Atmos. Chem. Phys., 25, 4833–4845, https://doi.org/10.5194/acp-25-4833-2025,https://doi.org/10.5194/acp-25-4833-2025, 2025
Short summary
High-resolution air quality maps for Bucharest using a mixed-effects modeling framework
Camelia Talianu, Jeni Vasilescu, Doina Nicolae, Alexandru Ilie, Andrei Dandocsi, Anca Nemuc, and Livio Belegante
Atmos. Chem. Phys., 25, 4639–4654, https://doi.org/10.5194/acp-25-4639-2025,https://doi.org/10.5194/acp-25-4639-2025, 2025
Short summary
Construction and application of a pollen emissions model based on phenology and random forests
Jiangtao Li, Xingqin An, Zhaobin Sun, Caihua Ye, Qing Hou, Yuxin Zhao, and Zhe Liu
Atmos. Chem. Phys., 25, 3583–3602, https://doi.org/10.5194/acp-25-3583-2025,https://doi.org/10.5194/acp-25-3583-2025, 2025
Short summary
The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing
Ruth A. R. Digby, Knut von Salzen, Adam H. Monahan, Nathan P. Gillett, and Jiangnan Li
Atmos. Chem. Phys., 25, 3109–3130, https://doi.org/10.5194/acp-25-3109-2025,https://doi.org/10.5194/acp-25-3109-2025, 2025
Short summary

Cited articles

Barbu, A. L., Segers, A. J., Schaap, M., Heemink, A. W., and Builtjes, P. J. H.: A multi-component data assimilation experiment directed to sulphur dioxide and sulphate over Europe, Atmos. Environ., 43, 1622–1631, 2009. 
Carmichael, G. R., Daescu, D. N., Sandu, A., and Chai, T.: Computational aspects of chemical data assimilation into atmospheric models, in: Science Computational ICCS 2003, Lecture Notes in Computer Science, Springer, Berlin, IV, 269–278, 2003. 
Carmichael, G. R., Sandu, A., Chai, T., Daescu, D. N., Constantinescu, E. M., and Tang, Y.: Predicting air quality: improvements through advanced methods to integrate models and measurements, J. Comput. Phys., 227, 3540–3571, 2008a. 
Chen, D., Liu, Z., Fast, J., and Ban, J.: Simulations of sulfate-nitrate-ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014, Atmos. Chem. Phys., 16, 10707–10724, https://doi.org/10.5194/acp-16-10707-2016, 2016. 
Download
Short summary
An EnKF system was developed to simultaneously assimilate multiple surface measurements, including PM10, PM2.5, 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 PM2.5, 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.
Share
Altmetrics
Final-revised paper
Preprint