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

Lin, Jianyu; Dai, Tie; Sheng, Lifang; Zhang, Weihang; Hai, Shangfei; Kong, Yawen

doi:https://doi.org/10.5194/gmd-18-2231-2025

Articles | Volume 18, issue 7

https://doi.org/10.5194/gmd-18-2231-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-2231-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 7

Model evaluation paper

|

09 Apr 2025

Model evaluation paper |

| 09 Apr 2025

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

Supplement

https://doi.org/10.5194/gmd-18-2231-2025-supplement

Data sets

Observation Jianyu Lin https://doi.org/10.5281/zenodo.14835237

Model code and software

LEFKF-WRF-Chem Jianyu Lin https://doi.org/10.5281/zenodo.14010521

Short summary

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.