摘要
为研究成都地区相对湿度的变化特征及中尺度数值模式不同陆面过程方案对该地区相对湿度的模拟能力,利用成都市2014年地面观测资料和NCEP再分析资料,通过不同时间尺度统计分析和数值模拟试验的方法,对比分析成都相对湿度特征及不同陆面过程方案模拟效果.结论表明:成都市平均相对湿度较高,主要集中在85%~100%;相对湿度季节变化中,秋季相对湿度最大,夏、冬季次之,春季最小;日变化中白天相对湿度较小,夜间较大;四季中相对湿度日变化大致相似,但幅度不同,春季日变化最为显著,冬、夏次之,秋季最小;3种常用的陆面过程参数化方案对成都城市下垫面相对湿度的变化趋势模拟较好,但在极值模拟上有所差异,通过参数评估,5Layer方案对城市下垫面相对湿度模拟效果的最好.
To study the variation characteristics of relative humidity and the simulating capability of relative humidity of process schemes in different land surface while in the mesoscale numerical mode in this field.We took advantage of the ground observation data and reanalysis data and used methods of statistical analysis and numerical simulation experiment in varieties temporal scale to compare and analyze the relative humidity features and simulation effects in different surface process schemes in Chengdu.The results show that:the average relative humidity in Chengdu is comparatively high and is mainly concentrated between 85%and 100%.Relative humidity in autumn is the largest,followed by summer,winter,spring,and in the diurnal variation,relative humidity in daytime is higher than night.Three frequently-used land process parameterization schemes simulated the variation trend of relative humidity of underlying surface excellently in Chengdu,but there are differences in extreme value simulation.Through parameter evaluation,the best simulation effects of relative humidity of city underlying surface is performed by 5Layer scheme.
作者
周艳艳
王超
肖天贵
刘思祺
陈亚玲
黎旭
ZHOU Yanyan;WANG Chao;XIAO Tiangui;LIU Siqi;CHEN Yaling;LI Xu(College of Atmospheric Sciences,Chengdu University of Information Technology,Plateau Atmosphere,Environment Key Laboratory of Sichuan Province,Chengdu 610225,China;NO.95937 of the Chinese People's Liberation Army,Fuxin 123100,China)
出处
《成都信息工程大学学报》
2020年第1期111-116,共6页
Journal of Chengdu University of Information Technology
基金
国家科技支撑计划资助项目(2015BAC03B05)
中国气象科学研究院灾害天气国家重点实验室(2019LASW-B02)
四川省科技厅资助项目(2019YJ0360)
成都信息工程大学项目(BKJX2019120)对本文的资助。
关键词
大气科学
数值模拟
城市下垫面
相对湿度
变化特征
atmospheric science
numerical simulation
urban underlying surface
relative humidity
change characteristics