Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM 2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States-Reference-Cited by-同舟云学术

Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM 2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States

Published:2017-05-19 Issue:10 Volume:122 Page:5399-5415
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Chai Tianfeng¹²^ORCID,Kim Hyun‐Cheol¹²^ORCID,Pan Li¹²^ORCID,Lee Pius¹^ORCID,Tong Daniel¹²³^ORCID

Affiliation:

1. NOAA Air Resources Laboratory NOAA Center for Weather and Climate Prediction College Park Maryland USA

2. Cooperative Institute for Climate and Satellites University of Maryland College Park Maryland USA

3. Center for Spatial Information Science and Systems George Mason University Fairfax Virginia USA

Funder

National Oceanic and Atmospheric 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/10.1002/2016JD026295

Reference64 articles.

1. A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique

2. Modeling secondary organic aerosol in CMAQ using multigenerational oxidation of semi-volatile organic compounds

3. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

4. Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System

5. Model Representation of Secondary Organic Aerosol in CMAQv4.7

Cited by 22 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. Assimilating a blended dataset of satellite-based estimations and in situ observations to improve WRF-Chem PM2.5 prediction;Atmospheric Environment;2024-02

2. Research progress, challenges, and prospects of PM_2.5 concentration estimation using satellite data;Environmental Reviews;2023-12-01

3. The Potential of Monitoring Carbon Dioxide Emission in a Geostationary View with the GIIRS Meteorological Hyperspectral Infrared Sounder;Remote Sensing;2023-02-05

4. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook;Journal of Environmental Sciences;2023-01

5. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub>;Geoscientific Model Development;2022-04-06