《Table 2–Scenarios designed for the study of contributions from regional sources.》

《Table 2–Scenarios designed for the study of contributions from regional sources.》   提示:宽带有限、当前游客访问压缩模式
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《Process analysis of PM_(2.5) pollution events in a coastal city of China using CMAQ》


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Fig.3 shows the time variations of the observed and simulated temperature at 2 m(T2),relative humidity at 2 m(RH2),wind speed at 10 m(WSPD10)and wind direction at 10 m(WDIR10)in Qingdao during December 11,2015 January 6,2016 and December 12,2016 January 6,2017 at 12 km grid resolution.Table 3 summarizes the performance statistics of T2,RH2,WSPD10 and PM2.5.The temporal variations and magnitudes of T2 were well consistent with the observation,with the correlation coefficient of 0.9 and NMB of 39.4%during two winters(December 11,2015–January 6,2016 and December 12,2016–January 6,2017).WRF also gave out relatively good performance of RH2 except slightly overestimation during several hours(e.g.December 15–16,2015),and the correlation coefficient and NMB of RH2 are 0.7 and 0.2%,respectively.Although the variation trend of the wind speed was well reproduced,the positive bias were sometimes occurred.From the statistics results,the correlation coefficient between the simulated and observed wind speed is 0.8,while the NMB is25.0%.