中文摘要：

一般发行量模型(GCM ) 的空间决定太粗糙，不能代表地区性的气候变化在地区性，为许多环境建模和影响评价要求的盆，和本地规模。天气研究和预报模型(WRF ) 是一下一代，充分可压缩，有运行时刻的 Euler 非静水力学的 mesoscale 预报模型静水力学的选择。这个模型在从一公里的规模为 downscaling 天气和气候是有用的到几千公里，并且为导出也为水文学模拟要求的气象学的参数是有用的。这篇论文的目的是验证由中国气象学的管理(CMA ) 车站的每日的观察数据，并且由模仿 5 km/1 h 空气温度的 WRF 时时，在原处，分水岭的数据结盟了遥感勘测试验性的研究工程。每日的确认证明 WRF 模拟与观察数据有好同意；R ^ 啜在 WRF 模拟和每个车站之间的 2 ^ 是超过 0.93；为每个车站的 meanbias 错误(MBE ) 绝对是不到 2

英文摘要：

The spatial resolution of general circulation models （GCMs） is too coarse to represent regional climate variations at the regional, basin, and local scales required for many environmental modeling and impact assessments. Weather research and forecasting model （WRF） is a nextgeneration, fully compressible, Euler non-hydrostatic mesoscale forecast model with a runtime hydrostatic option. This model is useful for downscaling weather and climate at the scales from one kilometer to thousands of kilometers, and is useful for deriving meteorological parameters required for hydrological simulation too. The objective of this paper is to validate WRF simulating 5 km/ 1 h air temperatures by daily observed data of China Meteorological Administration （CMA） stations, and by hourly in-situ data of the Watershed Allied Telemetry Experimental Research Project. The daily validation shows that the WRF simulation has good agreement with the observed data; the R2 between the WRF simulation and each station is more than 0.93; the absolute of meanbias error （MBE） for each station is less than 2℃; and the MBEs of Ejina, Mazongshan and Alxa stations are near zero, with R2 is more than 0.98, which can be taken as an unbiased estimation. The hourly validation shows that the WRF simulation can capture the basic trend of observed data, the MBE of each site is approximately 2℃, the R2 of each site is more than 0.80, with the highest at 0.95, and the computed and observed surface air temperature series show a significantly similar trend.