Improved Modeling of Spatiotemporal Variations of Fine Particulate Matter Using a Three‐Dimensional Variational Data Fusion Method
Open Access
- 23 March 2021
- journal article
- research article
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Atmospheres
- Vol. 126 (6)
- https://doi.org/10.1029/2020jd033599
Abstract
No abstract availableKeywords
This publication has 56 references indexed in Scilit:
- Importance of NOx control for peak ozone reduction in the Pearl River Delta regionJournal of Geophysical Research: Atmospheres, 2013
- Improvement of ozone forecast over Beijing based on ensemble Kalman filter with simultaneous adjustment of initial conditions and emissionsAtmospheric Chemistry and Physics, 2011
- Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East AsiaJournal of Geophysical Research: Atmospheres, 2011
- Chemical Data Assimilation—An OverviewAtmosphere, 2011
- Application of satellite observations for timely updates to global anthropogenic NOxemission inventoriesGeophysical Research Letters, 2011
- Diagnostic analyses of a regional air quality model: Changes in modeled processes affecting ozone and chemical-transport indicators from NOxpoint source emission reductionsJournal of Geophysical Research, 2008
- Estimating the impact of the 2004 Alaskan forest fires on episodic particulate matter pollution over the eastern United States through assimilation of satellite‐derived aerosol optical depths in a regional air quality modelPublished by American Geophysical Union (AGU) ,2008
- PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality modelsAtmospheric Environment, 2006
- Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global propertiesJournal of Geophysical Research: Atmospheres, 2000
- Modal aerosol dynamics model for Europe: development and first applicationsAtmospheric Environment, 1998