Experimentation of Three-Dimensional Variational Data Assimilation of PM2.5 and Its Main Components

LIU Hanwei;PAN Xiaobin;ZANG Zengliang;TANG Tingzhao;SUN Tao;SHOU Junming;LI Dalei

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Plateau Meteorology
Plateau Meteorology ›› 2014, Vol. 33 ›› Issue (6) : 1599-1607. DOI: 10.7522/j.issn.1000-0534.2013.00133

Experimentation of Three-Dimensional Variational Data Assimilation of PM2.5 and Its Main Components

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Abstract

A three-dimensional variational system was established rely on the fully coupled meteorology-chemistry model (WRF-Chem) and used to carry a assimilation experiment about the ground-level PM2.5 and its main components: black carbon, organic carbon, nitrate, sulfate in Los Angeles in the west of American. At the same time we compare the area distribution, single station and temporal variations of the output with control experiment and observed. The results show that: This system has a good effect of assimilation, assimilation results and live closer to the site distribution and evolution of the trend in good agreement; take three sites for the evolution of single-point time series and scatter plot analysis, assimilation correlation coefficient increase in more than 0.85, the correlation coefficient selected three sites up to 0.95, the root mean square error has significantly reduced; numerical simulation did not simulate the large value of the center can be reproduced by assimilation; model simulations the low concentration of PM2.5 evolution of trends and values better than the high-concentration values; with the mode of operation, the pre-assimilation results is better, the deviation of assimilation in mid-period and late period and observation increase; modes also exist systematic bias and singularity, these are the areas for improvement mode.

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WRF-Chem model / PM2.5 / Main components / Assimilation experim

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LIU Hanwei , PAN Xiaobin , ZANG Zengliang , TANG Tingzhao , SUN Tao , SHOU Junming , LI Dalei. Experimentation of Three-Dimensional Variational Data Assimilation of PM2.5 and Its Main Components. Plateau Meteorology. 2014, 33(6): 1599-1607 https://doi.org/10.7522/j.issn.1000-0534.2013.00133

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