Improving Surface PM 2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas-Reference-Cited by-同舟云学术

Improving Surface PM 2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas

Published:2020-07-22 Issue:14 Volume:125 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:JGR Atmospheres

Author:

Zhang Huanxin¹²^ORCID,Wang Jun¹²^ORCID,García Lorena Castro¹²,Ge Cui¹²^ORCID,Plessel Todd³,Szykman James⁴,Murphy Benjamin⁴,Spero Tanya L.⁴^ORCID

Affiliation:

1. Department of Chemical and Biochemical Engineering The University of Iowa Iowa City IA USA

2. Center for Global and Regional Environmental Research The University of Iowa Iowa City IA USA

3. General Dynamics Information Technology, RTP NC USA

4. U.S. Environmental Protection Agency, RTP NC USA

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD032293

Reference105 articles.

1. Modal aerosol dynamics model for Europe

2. Improving National Air Quality Forecasts with Satellite Aerosol Observations

3. Mesoscale Variations of Tropospheric Aerosols*

4. Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0

5. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AGATNet: An Adaptive Graph Attention Network for Bias Correction of CMAQ‐Forecasted PM_2.5 Concentrations Over South Korea;Journal of Geophysical Research: Machine Learning and Computation;2024-08-24

2. Remote sensing estimation of regional PM2.5 based on GTWR model -A case study of southwest China;Environmental Pollution;2024-06

3. Mapping the spatial distribution of primary and secondary PM2.5 in a multi-industrial city by combining monitoring and modeling results;Environmental Pollution;2024-05

4. 24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023;Scientific Data;2024-03-09

5. A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty;Remote Sensing of Environment;2024-03