| 区域气候模式RIEMS对中国气候的模拟 |
| |
| 引用本文： | 吴琼,延晓冬,熊喆.区域气候模式RIEMS对中国气候的模拟[J].江西农业大学学报,2009,31(5). |
| |
| 作者姓名： | 吴琼 延晓冬 熊喆 |
| |
| 作者单位： | 中国科学院,大气物理研究所,北京,100029 |
| |
| 基金项目： | 国家"973"资助项目 |
| |
| 摘 要： | 利用区域环境集成系统模式(RIEMS)对我国进行2005年4月1日～2006年10月1日18个月的积分试验,重点考察区域气候模式对我国区域气候平均状况的模拟能力.结果表明:(1)RIEMS模式能够较好地模拟出温度的空间分布及时间变化;同时模式模拟的季和平均大气温度与NCEP之间偏差大约1～2 ℃ ,模式还能够较好地模拟出辐射、感热、潜热、位势高度、风场等气象要素场的空间分布以及时间演变,并且越到高空模拟效果越好.(2)对温度、辐射、感热、潜热、位势高度、风场等气象要素场模拟的时间演变接近NCEP的演变,但对于不同季节,不同变量模拟的结果有所差异,一般来说,秋季的效果最好,夏、冬季效果稍差一些.
|
| 关 键 词： | 区域气候模式 气温 气象要素 空间分布 时间变化 |
The Multiyear Surface Climatology of RIEMS over China |
| |
| WU Qiong,YAN Xiao-dong,XIONG Zhe.The Multiyear Surface Climatology of RIEMS over China[J].Acta Agriculturae Universitis Jiangxiensis,2009,31(5). |
| |
| Authors: | WU Qiong YAN Xiao-dong XIONG Zhe |
| |
| Abstract: | 18 -month continuous simulation in China for the period from 1 April 2005 to 1 August 2006 was conducted using Regional Environment Integrated Modeling System (RIEMS) with NCEP Reanalysis data as the driving fields. The model processes a state of the art surface physics package (BATS 1 e) , a Hostlag ex-plicit planetary boundary layer formulation,a Kuo - Anthes culumus parameterization,and a modified radiation package( GCM3). In this paper,the ability of RIEMS to simulate the aveage climate of China is tested. The re-sults show; (1) Model - produced surface air temperature are compared well with 2.5°×2.5° NCEP grid data set. RIEMS reproduces well the spatial pattern of surface air temperature. When regionally averaged, the sea-sonal mean temperature biases are within l-2℃. Model -produced radiation,sensible heat,latent heat,geo-potential height, wind and other meteorologic elements are compared well with NCEP grid data set. RIEMS re-produces well the spatial pattern of these elements.(2) RIEMS reproduces well the time cycle of radiation, sensible heat,latent heat,geopotential height,wind and other meteorologic elements, and in different seasons, the results of the simulation are different, generally, in autumn, the results are the best, in summer and win-ter, the results are not quite as good. |
| |
| Keywords: | regional climate model surface air temperature climate elements spatial distribution time cycle |
| 本文献已被 万方数据 等数据库收录！ |
|
