Observing system simulation experiment (OSSE)-quantitative evaluation of lidar observation networks to improve 3D aerosol forecasting in China-Reference-Cited by-同舟云学术

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Observing system simulation experiment (OSSE)-quantitative evaluation of lidar observation networks to improve 3D aerosol forecasting in China

Published:2022-06 Issue: Volume:270 Page:106069
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Ye Hancheng,You Wei,Zang Zengliang,Pan Xiaobin,Wang Daichun,Zhou Nan,Hu Yiwen,Liang Yanfei,Yan Peng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference52 articles.

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2. Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component 1. Model description;Binkowski;J. Geophys. Res.,2003

3. Coupling an advanced land surface–hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity;Chen;Mon. Weather Rev.,2001

4. The 2015 and 2016 wintertime air pollution in China: SO2 emission changes derived from a WRF-Chem/EnKF coupled data assimilation system;Chen;Atmos. Chem. Phys.,2019

5. Lidar data assimilation method based on CRTM and WRF-Chem models and its application in PM2.5 forecasts in Beijing;Cheng;Sci. Total Environ.,2019

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