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Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271
作者:  Zhang S.;  Tian X.;  Han X.;  Zhang M.;  Zhang H.;  Mao H.
收藏  |  浏览/下载：42/0  |  提交时间：2022/01/18
Air quality forecast  Data assimilation  NLS-4DVar method  WRF-CMAQ model  

Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method

 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271
作者:  Zhang, Shan;  Tian, Xiangjun;  Han, Xiao;  Zhang, Meigen;  Zhang, Hongqin;  Mao, Huiqin
收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21
VARIATIONAL DATA ASSIMILATION  ENSEMBLE KALMAN FILTER  QUALITY MODELING CMAQ  AEROSOL EMISSIONS  WEATHER RESEARCH  SYSTEM  PM10  IMPROVEMENT  INVENTORY  OZONE  
A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 4
作者:  Zhang, Shan;  Tian, Xiangjun;  Zhang, Hongqin;  Han, Xiao;  Zhang, Meigen
收藏  |  浏览/下载：15/0  |  提交时间：2022/06/21
ENSEMBLE DATA ASSIMILATION  WEATHER RESEARCH  KALMAN FILTER  MODEL  CMAQ  IMPLEMENTATION  CHEMISTRY  OZONE  CHINA  SIMULATION