Articles | Volume 25, issue 9
Hydrol. Earth Syst. Sci., 25, 4967–4981, 2021
Hydrol. Earth Syst. Sci., 25, 4967–4981, 2021

Research article 10 Sep 2021

Research article | 10 Sep 2021

Improved parameterization of snow albedo in Noah coupled with Weather Research and Forecasting: applicability to snow estimates for the Tibetan Plateau

Lian Liu et al.

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Cited articles

An, Y., Meng, X., Zhao, L., Li, Z., Wang, S., Shang, L., Chen, H., Lyu, S., Li, G., and Ma, Y.: Performance of GLASS and MODIS satellite albedo products in diagnosing albedo variations during different time scales and special weather conditions in the Tibetan Plateau, Remote Sens., 12, 2456,, 2020. 
Aoki, T., Hachikubo, A., and Hori, M.: Effects of snow physical parameters on shortwave broadband albedos, J. Geophys. Res., 108, 4616,, 2003. 
Bao, Y. and Lü, S.: Improvement of surface albedo parameterization within a regional climate model (RegCM3), Hydrol. Earth Syst. Sci. Discuss., 6, 1651–1676,, 2009. 
Bao, Y., Lyu, S., Zhang, Y., Meng, X., and Yang, S.: Improvement of surface albedo simulations over arid regions, Adv. Atmos. Sci., 25, 481–488, 2008. 
Bloch, M. R.: Dust-induced albedo changes of polar ice sheets and glacierization, J. Glaciol., 5, 241–244, 1964. 
Short summary
Albedo is a key factor in land surface energy balance, which is difficult to successfully reproduce by models. Here, we select eight snow events on the Tibetan Plateau to evaluate the universal improvements of our improved albedo scheme. The RMSE relative reductions for temperature, albedo, sensible heat flux and snow depth reach 27%, 32%, 13% and 21%, respectively, with remarkable increases in the correlation coefficients. This presents a strong potential of our scheme for modeling snow events.