Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes-Reference-Cited by-同舟云学术

Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes

Published:2020-02 Issue: Volume:222 Page:117181
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Li Xueke^ORCID,Seth Anji,Zhang Chuanrong,Feng Ran,Long Xin,Li Weidong,Liu Kai

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference75 articles.

1. Development of gridded surface meteorological data for ecological applications and modelling;Abatzoglou;Int. J. Climatol.,2013

2. Emission of trace gases and aerosols from biomass burning;Andreae;Glob. Biogeochem. Cycles,2001

3. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States;Astitha;Atmos. Environ.,2017

4. Spatial and temporal variation in PM2.5 chemical composition in the United States for health effects studies;Bell;Environ. Health Perspect.,2007

5. Evaluation of the surface PM2.5 in version 1 of the NASA MERRA aerosol reanalysis over the United States;Buchard;Atmos. Environ.,2016

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