Source apportionment of PM2.5 and its optical properties during a regional haze episode over north China plain

Bai, Dongping; Wang, Honglei; Cheng, Miaomiao; Gao, Wenkang; Yang, Yuan; Huang, Wei; Ma, Kangjie; Zhang, Yang; Zhang, Renjian; Zou, Jianan; Wang, Jiaxin; Liang, Yanzhi; Li, Nana; Wang, Yuesi

doi:10.1016/j.apr.2020.08.023

Cited by 10 publications

(5 citation statements)

References 63 publications

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“…One of the optical modules in the NAQPMS to simulate the extinction coefficients used in this study is a "reconstructed extinction coefficient" method proposed by Malm (2000) as a part of the Interagency Monitoring of Projected Visual Environment (IMPROVE) program. The IMPROVE method is widely used (Pitchford et al, 2007;Shen et al, 2014;Bai et al, 2020) as a linear equation and has advantages in computational complexity compared with the radiative transfer equation and Mie equation. The IMPROVE equation used in the NAQPMS has been widely applied in simulating aerosol optical properties, which can effectively reproduce the aerosol vertical distribution on the North China Plain (NCP) (Li et al, 2012(Li et al, , 2014(Li et al, , 2017aWang et al, 2017b).…”

Section: Regional Chemical Transport Model Naqpmsmentioning

confidence: 99%

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Wang

Yang

Wang

et al. 2022

Preprint

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Abstract. Aerosol vertical stratification information is important for global climate and planetary boundary layer (PBL) stability, and no single method can obtain spatiotemporally continuous vertical profiles. This paper develops an online data assimilation (DA) framework for the Eulerian atmospheric chemistry-transport model (CTM) Nested Air Quality Prediction Model System (NAQPMS) with the Parallel Data Assimilation Framework (PDAF) as the NAQPMS-PDAF for the first time. Online coupling occurs via a memory-based approach with two-level parallelization, and the arrangement of state vectors during the filter is specifically designed. Scaling tests provide evidence that the NAQPMS-PDAF can make efficient use of parallel computational resources for up to 2.5 k processors with weak scaling efficiency up to 0.7. One-month-long aerosol extinction coefficient profiles measured by the ground-based lidar and the concurrent hourly surface PM2.5 are solely and simultaneously assimilated to investigate the performance and application of the DA system. The hourly analysis and subsequent one-hour simulation are validated through lidar and surface PM2.5 measurements assimilated and not assimilated. The results show that lidar DA can significantly improve the underestimation of aerosol loading, especially at a height of approximately 400 m in the free-running (FR) experiment, with the BIAS changing from −0.20 (−0.14) 1/km to −0.02 (−0.01) 1/km and correlation coefficients increasing from 0.33 (0.28) to 0.91 (0.53) averaged over sites with measurements assimilated (not assimilated). Compared with the FR experiment, simultaneously assimilating PM2.5 and lidar can have a more consistent pattern of aerosol vertical profiles with a combination of surface PM2.5 and lidar, independent extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and aerosol optical depth (AOD) from the Aerosol Robotic Network (AERONET). Lidar DA has a larger temporal impact than that in PM2.5 DA but has deficiencies in subsequent quantification on the surface PM2.5. The proposed NAQPMS-PDAF has great potential for further research on the impact of aerosol vertical distribution.

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Section: Regional Chemical Transport Model Naqpmsmentioning

confidence: 99%

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Wang

Yang

Wang

et al. 2022

Preprint

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show abstract

“…These studies focusing on the Fenwei Plain are also limited to the temporal and spatial distribution of the pollution or spatial spillover characteristics (Li et al,2021;Liu et al,2022). Furthermore, most studies rely on econometric methods such as dynamic panel models and spatial correlation analysis (Bai et al, 2021;Su & Yu, 2020;Zhang et al,2022). Anselin (2001) & Rupasingha et al (2004) applied spatial measurement methods to the empirical analysis of environmental economy, explored the relationship between economic indicators and air pollution.…”

Section: Introductionmentioning

confidence: 99%

Regional characteristics and spatial correlation of haze pollution: Interpretative system analysis in cities of Fenwei Plain in China

Xiao

Zhou

Meng

et al. 2023

Science of The Total Environment

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“…The Data Assimilation Research Testbed (DART), developed by the National Center for Atmospheric Research (NCAR), is an open-source community facility for ensemble DA (Anderson et al, 2009). DART has been coupled with the Weather Research Forecasting Model with chemistry (WRF-Chem) (Mizzi et al, 2016(Mizzi et al, , 2018 and is utilized to study the impact of assimilating air pollutant measurements into CTMs (Ma et al, 2019(Ma et al, , 2020Emili et al, 2019;Zhang et al, 2021). The Parallel Data Assimilation Framework (PDAF), a community open-source project and software environment for ensemble DA, is dedicated to simplifying the implementation of coupling the DA framework with existing numerical models (Nerger and Hiller, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…One of the optical modules in the NAQPMS to simulate the extinction coefficients used in this study is a "reconstructed extinction coefficient" method proposed by Malm et al (2000) as a part of the Interagency Monitoring of Projected Visual Environment (IMPROVE) program. The IM-PROVE method is widely used (Pitchford et al, 2007;Shen et al, 2014;Bai et al, 2021) as a linear equation and has advantages in computational complexity compared with the radiative transfer equation and Mie equation. The IMPROVE equation used in the NAQPMS has been widely applied in simulating aerosol optical properties, which can effectively reproduce the aerosol vertical distribution on the North China Plain (NCP) (J.…”

Section: Introductionmentioning

confidence: 99%

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

et al. 2022

View full text Add to dashboard Cite

Abstract. Aerosol vertical stratification is important for global climate and planetary boundary layer (PBL) stability, and no single method can obtain spatiotemporally continuous vertical profiles. This paper develops an online data assimilation (DA) framework for the Eulerian atmospheric chemistry-transport model (CTM) Nested Air Quality Prediction Model System (NAQPMS) with the Parallel Data Assimilation Framework (PDAF) as the NAQPMS-PDAF for the first time. Online coupling occurs based on a memory-based way with two-level parallelization, and the arrangement of state vectors during the filter is specifically designed. Scaling tests demonstrate that the NAQPMS-PDAF can make efficient use of parallel computational resources for up to 25 000 processors with a weak scaling efficiency of up to 0.7. The 1-month long aerosol extinction coefficient profiles measured by the ground-based lidar and the concurrent hourly surface PM2.5 are solely and simultaneously assimilated to investigate the performance and application of the DA system. The hourly analysis and subsequent 1 h simulation are validated through lidar and surface PM2.5 measurements assimilated and not assimilated. The results show that lidar DA can significantly improve the underestimation of aerosol loading, especially at a height of approximately 400 m in the free-running (FR) experiment, with the mean bias (BIAS) changing from −0.20 (−0.14) km−1 to −0.02 (−0.01) km−1 and correlation coefficients increasing from 0.33 (0.28) to 0.91 (0.53) averaged over sites with measurements assimilated (not assimilated). Compared with the FR experiment, simultaneously assimilating PM2.5 and lidar can have a more consistent pattern of aerosol vertical profiles with a combination of surface PM2.5 and lidar, independent extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and aerosol optical depth (AOD) from the Aerosol Robotic Network (AERONET). Lidar DA has a larger temporal impact than that in PM2.5 DA but has deficiencies in subsequent quantification on the surface PM2.5. The proposed NAQPMS-PDAF has great potential for further research on the impact of aerosol vertical distribution.

show abstract

Source apportionment of PM2.5 and its optical properties during a regional haze episode over north China plain

Cited by 10 publications

References 63 publications

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

Regional characteristics and spatial correlation of haze pollution: Interpretative system analysis in cities of Fenwei Plain in China

An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application

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