ALL

主要成果包括：1.发展了被广泛认可的太阳辐射估算模型；2.完善了青藏高原水文气象观测网，开发了高原陆面过程参数化方案和卫星数据同化系统，显著提高了陆面过程模拟精度；3.发现高原太阳辐射近三十年持续减弱，揭示了其变化机理；发现总体上高原水循环加剧，但高原南部水循环减弱，揭示了高原湖泊扩张与收缩的机理。发表论文100余篇，被SCI引用5000余次。

代表性论著

[10] Yang, K., Lazhu, Y. Chen et al. (2016): Land surface model calibration through microwave data assimilation for improving soil moisture simulations.Journal of Hydrology, 533, 266-276.

[9] Yang, K., H. Wu, J. Qin et al. (2014): Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review.Global and Planetary Change, 112, 79–91

[8] Yang, K., J. Qin, L. Zhao et al. (2013): A multi-scale soil moisture and freeze-thaw monitoring network on the Third Pole,Bulletin of the American Meteorological Society,94, 1907-1916.

[7] Yang, K., B. Ding, J. Qin et al. (2012): Can aerosol loading explain the solar dimming over the Tibetan Plateau?,Geophysical Research Letters, 39, L20710, doi:10.1029/2012GL053733.

[6] Yang, K., B. Ye, D. Zhou et al. (2011): Response of hydrological cycle to recent climate changes in the Tibetan Plateau,Climatic Change, 109, 517–534.

[5] Yang, K., J. He, W. Tang et al. (2010): On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau,Agricultural and Forest Meteorology, 150, 38-46.

[4] Yang, K., Y. Chen, J. Qin (2009): Some practical notes on the land surface modeling in the Tibetan Plateau,Hydrology and Earth System Sciences, 13, 687–701.

[3] Yang, K., T. Koike, H. Ishikawa et al. (2008): Turbulent flux transfer over bare soil surfaces: Characteristics and parameterization,Journal of Applied Meteorology and Climatology, 40, 276-290.

[2] Yang, K., T. Watanabe, T. Koike et al. (2007): Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget,Journal of the Meteorological Society of Japan, 85A, 229-242.

[1] Yang, K., T. Koike, B. Ye (2006): Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets,Agricultural and Forest Meteorology, 137, 43-55.