摘要
为评估云光学厚度(CLDOPD)在空气质量数值模式中对边界层臭氧浓度的模拟影响,利用中国科学院大气物理研究所自主研发的嵌套网格空气质量预报模式系统(NAQPMS),对中国华北京津冀地区2013年6月夏季臭氧浓度进行模拟。结果表明:NAQPMS对极端对流性天气下的CLDOPD模拟偏低,结合观测数据对CLDOPD进行修正后,边界层臭氧浓度的模拟误差在一定程度上有所减小。此外,除极端性天气外模式对高CLDOPD值情况下的边界层臭氧浓度的模拟能力要优于低值情况。
In order to evaluate the influence of the Cloud Optical Depth(CLDOPD) on the ozone of boundary layer in air quality model simulation,the Nested Air Quality Prediction Model System (NAQPMS) developed by IAP was applied to simulate the ozone in the boundary layer over North Plain China in June 2013.The results indicated that CLDOPD was much lower than the observation during the convective weather,and the simulated bias of ozone decreased when CLDOPD been corrected using the observation.Besides,the simulated ozone in the boundary layer is better under the high CLDOPD than the lowexcept the extreme weather.
出处
《成都信息工程学院学报》
2014年第5期558-566,共9页
Journal of Chengdu University of Information Technology
基金
中国科学院战略性先导资助项目(XDB05030101
XDA05100501)
国家自然基金资助项目(40805051)
关键词
大气物理学与大气环境
大气环境模拟
边界层臭氧
嵌套网格空气质量模式系统(NAQPMS)
云光学厚度
atmospheric physics and atmospheric environment
atmospheric environment simulation
ozone in the boundary layer
nested Air quality prediction model system (NAQPMS)
cloud optical depth (CLDOPD)