厦门市霾天气和空气质量预报系统及其应用
发布时间：2018-08-21 14:54
【摘要】：厦门市霾天气和空气质量预报系统以WRF/CMAQ数值模式为基础,以GFS气象资料为驱动,以多种污染物的浓度的分布和变化为输出结果的预报系统。通过对一次轻度污染过程预报效果对比分析,可以发现该系统能较好的预报出区域内的污染物的变化特征,但仍存在一定的偏差。探讨预报效果的检验方法和订正,优化系统输出结果等需要进一步在业务化工作中不断完善。
[Abstract]:The forecast system of haze weather and air quality in Xiamen is based on WRF/CMAQ numerical model, driven by GFS meteorological data, and takes the concentration distribution and variation of various pollutants as the output. By comparing and analyzing the forecasting effect of a mild pollution process, it can be found that the system can predict the variation characteristics of pollutants in the region well, but there is still a certain deviation. It is necessary to further improve the test method and correction of forecast effect and optimize the output result of the system.
【作者单位】： 厦门市气象局;
【基金】：福建省气象局青年专项(2015q11)
【分类号】：X51
[Abstract]:The forecast system of haze weather and air quality in Xiamen is based on WRF/CMAQ numerical model, driven by GFS meteorological data, and takes the concentration distribution and variation of various pollutants as the output. By comparing and analyzing the forecasting effect of a mild pollution process, it can be found that the system can predict the variation characteristics of pollutants in the region well, but there is still a certain deviation. It is necessary to further improve the test method and correction of forecast effect and optimize the output result of the system.
【作者单位】： 厦门市气象局;
【基金】：福建省气象局青年专项(2015q11)
【分类号】：X51
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