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Validation of WRF model on simulating forcing data for Heihe River Basin
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  • 分类:P422[天文地球—大气科学及气象学] S161.21[农业科学—农业气象学;农业科学—农业基础科学]
  • 作者机构:[1]Laboratory of Remote Sensing and Geospatial Science, CoM and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China, [2]Graduate University of Chinese Aeademy of Sciences, Beijing 100049, China
  • 相关基金:Acknowledgments: This work was supported by grant from the National High Technology Research and Development Program (863) of China (Grant No.2009AA122104) and grants from the National Natural Science Foundation of China (No.40901202, No.40925004). The data used in this paper were obtained from the WATER experiment, which is jointly supported by the CAS Action Plan for West Development Program (Grant No.KZCX2-XB2-09) and Chinese State Key Basic Research Project (Grant No.2007CBT14400). The input data for WRF model are from the Research Data Archive (RDA) which are maintained by the Computational and Information Systems Laboratory (CISL) at the National Center for At- mospheric Research (NCAR). NCAR is sponsored by the National Science Foundation (NSF). The original data are available from the RDA (http://dss.ucar.edu) in dataset number ds083.2. The authors thank two anonymous reviewers and the editor for their very helpful comments.
中文摘要:

与一个陆地表面模型一起联合 WRF (天气研究和预报模型) 的研究被提高探索空气和陆地表面的相互作用;然而, WRF 模型的地区性的适用性是 questioned.In 顺序在模仿为 Heihe 河盆强迫数据上做 WRF 模型的确认,来自 CMA (中国气象学的管理)的 15 个车站的每天气象学的观察数据和从水(分水岭 Airbome 遥感勘测试验性的研究)的七个地点的时时气象学的观察数据被用来把模拟与 WRF 作比较,与为 2008 .Results 的一整个年的一个时间范围证明平均 MBE (吝啬的偏爱错误)(3 ) 从 WRF 模仿的风速度和降雨当模特儿没与观察数据同意很好。

英文摘要:

The research of coupling WRF (Weather Research and Forecasting Model) with a land surface model is enhanced to explore the interaction of the atmosphere and land surface; however, regional applicability of WRF model is questioned. In order to do the validation of WRF model on simulating forcing data for the Heihe River Basin, daily meteorological observation data from 15 stations of CMA (China Meteorological Administration) and hourly meteorological observation data from seven sites of WATER (Watershed Airborne Telemetry Experimental Research) are used to compare with WRF simulations, with a time range of a whole year for 2008. Results show that the average MBE (Mean Bias Error) of daily 2-m surface temperature, surface pressure, 2-m relative humidity and 10-m wind speed were -0.19 ℃, -4.49 hPa, 4.08% and 0.92 m/s, the average RMSE (Root Mean Square Error) of them were 2.11 ℃, 5.37 hPa, 9.55% and 1.73 m/s, and the average R (correlation coefficient) of them were 0.99, 0.98, 0.80 and 0.55, respectively. The average MBE of hourly 2-m surface temperature, surface pressure, 2-m relative humidity, 10-m wind speed, downward shortwave radiation and downward longwave were-0.16 ℃,-6.62 hPa,-5.14%, 0.26 m/s, 33.0 W/m^2 and-6.44 W/m^2, the average RMSE of them were 2.62 ℃, 17.10 hPa, 20.71%, 2.46 m/s, 152.9 W/m^2 and 53.5 W/m^2, and the average R of them were 0.96, 0.97, 0.70, 0.26, 0.91 and 0.60, respectively. Thus, the following conclusions were obtained: (1) regardless of daily or hourly validation, WRF model simulations of 2-m surface temperature, surface pressure and relative humidity are more reliable, especially for 2-m surface air temperature and surface pressure, the values of MBE were small and R were more than 0.96; (2) the WRF simulating downward shortwave radiation was relatively good, the average R between WRF simulation and hourly observation data was above 0.9, and the average R of downward longwave radiation was 0.6; (3) both wind speed and rainfall simulated fr

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