气候变化领域集成服务门户(CCPortal): Improved Parameterization of Snow Albedo in WRF plus Noah: Methodology Based on a Severe Snow Event on the Tibetan Plateau

CCPortal

DOI	10.1007/s00376-022-1232-1
	Improved Parameterization of Snow Albedo in WRF plus Noah: Methodology Based on a Severe Snow Event on the Tibetan Plateau
	Liu, Lian; Menenti, Massimo; Ma, Yaoming; Ma, Weiqiang
通讯作者	Ma, YM (通讯作者)
发表日期	2022
ISSN	0256-1530
EISSN	1861-9533
起始页码	1079
结束页码	1102
卷号	39 期号:7
英文摘要	Snowfall and the subsequent evolution of the snowpack have a large effect on the surface energy balance and water cycle of the Tibetan Plateau (TP). The effects of snow cover can be represented by the WRF coupled with a land surface scheme. The widely used Noah scheme is computationally efficient, but its poor representation of albedo needs considerable improvement. In this study, an improved albedo scheme is developed using a satellite-retrieved albedo that takes snow depth and age into account. Numerical experiments were then conducted to simulate a severe snow event in March 2017. The performance of the coupled WRF/Noah model, which implemented the improved albedo scheme, is compared against the model's performance using the default Noah albedo scheme and against the coupled WRF/CLM that applied CLM albedo scheme. When the improved albedo scheme is implemented, the albedo overestimation in the southeastern TP is reduced, reducing the RMSE of the air temperature by 0.7 degrees C. The improved albedo scheme also attains the highest correlation between the satellite-derived and the model-estimated albedo, which provides for a realistic representation of both the snow water equivalent (SWE) spatial distribution in the heavy snowbelt (SWE > 6 mm) and the maximum SWE in the eastern TP. The underestimated albedo in the coupled WRF/CLM leads to underestimating the regional maximum SWE and a consequent failure to estimate SWE in the heavy snowbelt accurately. Our study demonstrates the feasibility of improving the Noah albedo scheme and provides a theoretical reference for researchers aiming to improve albedo schemes further.
关键词	LAND-COVER DATA SURFACE ALBEDO VEGETATION FRACTION CLIMATE-CHANGE GRAIN-SIZE MODEL REFLECTANCE CMIP5 ICE MORTERATSCHGLETSCHER
英文关键词	WRF; MODIS; severe snowfall; albedo scheme; SWE; Tibetan Plateau
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000779700600003
来源期刊	ADVANCES IN ATMOSPHERIC SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260681
推荐引用方式 GB/T 7714	Liu, Lian,Menenti, Massimo,Ma, Yaoming,et al. Improved Parameterization of Snow Albedo in WRF plus Noah: Methodology Based on a Severe Snow Event on the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2022,39(7).
APA	Liu, Lian,Menenti, Massimo,Ma, Yaoming,&Ma, Weiqiang.(2022).Improved Parameterization of Snow Albedo in WRF plus Noah: Methodology Based on a Severe Snow Event on the Tibetan Plateau.ADVANCES IN ATMOSPHERIC SCIENCES,39(7).
MLA	Liu, Lian,et al."Improved Parameterization of Snow Albedo in WRF plus Noah: Methodology Based on a Severe Snow Event on the Tibetan Plateau".ADVANCES IN ATMOSPHERIC SCIENCES 39.7(2022).