Data assimilation and application experiments of PM2.5 and PM2.5~10 during Nanjing Youth Olympic Games
JIN Lu-bin1, ZANG Zeng-liang1, PAN Xiao-bin1, WANG Ti-jian2, HAO Zi-long3, JIANG Zi-qiang4
1. Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;
2. School of Atmospheric Science, Nanjing University, Nanjing 210093, China;
3. No. 96631 unit of PLA, Beijing 102208, China;
4. International Institute for Earth System Science, Nanjing University, Nanjing 210093, China
A 3D-VAR assimilation system was established to assimilate the observations of PM2.5 and PM10, and assimilation and forecast experiments were performed during Nanjing Youth Olympic Games (NYOG). The control variables of this assimilation system were PM2.5 and PM2.5~10 (that was the rest of PM10 after taking out PM2.5). The background error covariances of PM2.5 and PM2.5~10 were estimated by using the simulated products of WRF-Chem of August 2014 in Nanjing. The results showed that the decreases of correlation coefficients of PM2.5 with the distance in the horizontal and vertical directions were less than those of PM2.5~10, with the possible reason being that the particle size of PM2.5 was smaller, the life cycle of it was longer and it spread further in the atmosphere. In addition, the WRF-Chem model was run with assimilation during NYOG (from August 16th to August 28th, 2014), by using the hourly data of PM2.5 and PM10 observed from 134 measurement sites around Nanjing. Evaluated with the observations in the innermost of the model area, the experiment results suggested that the aerosol forecasts of the initial fields can be significantly improved by the assimilation. The correlation coefficients of PM2.5 and PM10 increased by over 53%, the root-mean-square errors of the two reduced by over 55%, and the biases reduced by about 90%. The following aerosol forecasts in positive effect can be obviously improved by the assimilation and the benefit from the assimilation of aerosol can last more than 20hours. The forecast of PM10 was better than that of PM2.5 by the model.
靳璐滨, 臧增亮, 潘晓滨, 王体健, 郝子龙, 蒋自强. PM2.5和PM2.5~10资料同化及在南京青奥会期间的应用试验[J]. 中国环境科学, 2016, 36(2): 331-341.
JIN Lu-bin, ZANG Zeng-liang, PAN Xiao-bin, WANG Ti-jian, HAO Zi-long, JIANG Zi-qiang. Data assimilation and application experiments of PM2.5 and PM2.5~10 during Nanjing Youth Olympic Games. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(2): 331-341.
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