Sensitivity studies of a four-dimensional local ensemble transform Kalman filter coupled with WRF-Chem version 3.9.1 for improving particulate matter simulation accuracy
Jianyu Lin,Tie Dai,Lifang Sheng,Weihang Zhang,Shangfei Hai,and Yawen Kong
Jianyu Lin
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Lifang Sheng
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
The effectiveness of this assimilation system and its sensitivity to the ensemble member size and length of the assimilation window are investigated. This study advances our understanding of the selection of basic parameters in the four-dimensional local ensemble transform Kalman filter assimilation system and the performance of ensemble simulation in a particulate-matter-polluted environment.
The effectiveness of this assimilation system and its sensitivity to the ensemble member size...