基于WRF中国境内土壤湿度-降水耦合强度的诊断  

Diagnosis of soil moisture-precipitation coupling strength in China using WRF

作　　者：刘源[1,2] 张述文 李少英[1] 曹倩[1] Liu Yuan1, 2, Zhang Shu-wen1, Li Shao-ying1, Cao Qian1(1. Key Laboratory of Arid Climate Change and Disaster Reduction of Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; 2. Qingdao Air Traffic Management Station of Civil Aviation of China, Qingdao 266100 Shandong, Chin)

机构地区：[1]兰州大学大气科学学院甘肃省干旱气候变化与减灾重点实验室,兰州730000 [2]中国民用航空青岛空中交通管理站,山东青岛266100

出　　处：《兰州大学学报（自然科学版）》2018年第2期160-166,共7页Journal of Lanzhou University(Natural Sciences)

基　　金：国家自然科学基金项目(41575098);国家重点研发计划项目(2017YFC1502101)

摘　　要：借助中尺度模式WRF,以粗分辨率GLDAS资料统计出的强耦合2000年和弱耦合2005年夏季为代表时段进行高时空分辨率的模拟.结果表明,在周时间尺度内,土壤湿度-降水耦合强度在时间尺度为6 h时最强,除部分区域外,耦合强度随着时间的增加逐渐减弱.较强耦合区基本位于半干旱和半湿润区,包括山东、山西、河北、天津、北京、内蒙古中南部等,与统计结果一致.2000年夏季耦合强于2005年,但强耦合出现的月份以及空间分布均不固定,内蒙古中南部地区始终为中国夏季土壤湿度-降水共同强耦合区.由于时空分辨率的增加,发现一些零星分布的较强耦合区,而GLDAS统计结果中并没有出现.The mesoscale weather research and forecasting（WRF） model was used during two representative summers of 2000 and 2005 respectively with strong and weak coupling strengths based on global land data assimilation system（GLDAS） data with low spatial and temporal distribution. The derived coupling strength within the weekly time scale was the strongest at the time scale of 6 h and then gradually decreased with increase of time scales except part of the region. The relatively strong coupling regions were located in the semi-arid and semi-humid areas, including Shandong, Shanxi, Hebei, Tianjin, Beijing,and the southern central parts of Inner Mongolia. The coupling strength in the summer of 2000 was generally stronger than that in 2005, which was coincident with the statistical results, but the strong coupling months and the spatial distributions of strong coupling regions were also not fixed. It was found that the south central part of Inner Mongolia was a common strong coupling region between soil moisture and precipitation in summer in China. There were some scattered strong coupling areas due to the increase of the spatial and temporal resolution, which was not found based on analysis of the GLDAS data.

关 键 词：土壤湿度-降水耦合强度 中尺度模式WRF 数值试验 高时空分辨率 

分 类 号：P461[天文地球—大气科学及气象学]