Sciences in Cold and Arid Regions ›› 2017, Vol. 9 ›› Issue (2): 151-157.doi: 10.3724/SP.J.1226.2017.00151

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Winter estimation of surface roughness length over eastern Qinghai-Tibetan Plateau

LunYu Shang1, Yu Zhang1,2, ShiHua Lyu1,2, ShaoYing Wang1, YinHuan Ao1, SiQiong Luo1, ShiQiang Chen1   

  1. 1. Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
    2. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China
  • Received:2016-11-11 Revised:2017-02-14 Published:2018-11-23
  • Contact: LunYu Shang, Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. No. 320, Donggang West Road, Lanzhou, Gansu 730000, China. E-mail:
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41275016, 41405016, 41205006, 41275014, 41375077, 91537104, and 91537106).

Abstract: Based on the Monin-Obukhov similarity theory, a scheme was developed to calculate surface roughness length. Surface roughness length over the eastern Qinghai-Tibetan Plateau during the winter season was then estimated using the scheme and eddy covariance measurement data. Comparisons of estimated and measured wind speeds show that the scheme is feasible to calculate surface roughness length. The estimated roughness lengths at the measurement site during unfrozen, frozen and melted periods are 3.23×10-3, 2.27×10-3 and 1.92×10-3 m, respectively. Surface roughness length demonstrates a deceasing trend with time during the winter season. Thereby, setting the roughness length to be a constant value in numerical models could lead to certain degree of simulation errors. The variation of surface roughness length may be caused by the change in land surface characteristic.

Key words: Qinghai-Tibetan Plateau, surface roughness length, Monin-Obukhov similarity theory, least square fitting

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