Climate Change Data Portal
DOI | 10.5194/tcd-9-4377-2015 |
Orographic and vegetation effects on snow accumulation in the southern Sierra Nevada: A statistical summary from LiDAR data | |
Zheng Z.; Kirchner P.B.; Bales R.C. | |
发表日期 | 2015 |
ISSN | 19940432 |
卷号 | 9期号:4 |
英文摘要 | Airborne light detection and ranging (LiDAR) snow-on and snow-off measurements collected in the southern Sierra Nevada in the 2010 water year were analyzed for orographic and vegetation effects on snow accumulation during the winter season. Combining data from four sites separated by 10 to 64 km and together covering over 106 km2 area, the 1 m elevation-band-averaged snow depth in canopy gaps as a function of elevation increased at a rate of 15 cm per 100 m until reaching the elevation of 3300 m. The averaged snow depth of the same elevation band from different sites matched up with minor deviation, which could be partially attributed to the variation in other topographic features, such as slope and aspect. As vegetation plays a role in the snow accumulation, the distribution of the vegetation was also studied and shows that the canopy coverage consistently decreased along the elevation gradient from 80 % at 1500 m to near 0 % at above 3300 m. Also, the absolute difference of the averaged snow depth between snow found in canopy gaps and under the canopy increased with elevation, and decreased with canopy coverage disregarding the variation of other topographic features. The influence from the forest density on snow accumulation was quantified based on the snow-depth residuals from 1 m elevation-band-averaged snow depth and the attribute penetration fraction, which is the ratio of the number of ground points to the number of total points per pixel of LiDAR data. The residual increases from -25 to 25 cm at the penetration fraction range of 0 to 80 %; and the relationship could be modeled by exponential functions, with minor fluctuations along the gradient fraction of canopy and small deviation between sites. © Author(s) 2015. |
学科领域 | data set; lidar; numerical model; orography; pixel; snow accumulation; statistical analysis; vegetation structure; California; Sierra Nevada [California]; United States |
语种 | 英语 |
scopus关键词 | data set; lidar; numerical model; orography; pixel; snow accumulation; statistical analysis; vegetation structure; California; Sierra Nevada [California]; United States |
来源期刊 | Cryosphere Discussions
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/119838 |
作者单位 | Department of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA, United States; Joint Institute for Regional Earth System Science and Engineering, Pasadena, CA, United States; Southwest Alaska Network, National Park Service, Anchorage, AK, United States; Sierra Nevada Research Institute, UC Merced, Merced, CA, United States |
推荐引用方式 GB/T 7714 | Zheng Z.,Kirchner P.B.,Bales R.C.. Orographic and vegetation effects on snow accumulation in the southern Sierra Nevada: A statistical summary from LiDAR data[J],2015,9(4). |
APA | Zheng Z.,Kirchner P.B.,&Bales R.C..(2015).Orographic and vegetation effects on snow accumulation in the southern Sierra Nevada: A statistical summary from LiDAR data.Cryosphere Discussions,9(4). |
MLA | Zheng Z.,et al."Orographic and vegetation effects on snow accumulation in the southern Sierra Nevada: A statistical summary from LiDAR data".Cryosphere Discussions 9.4(2015). |
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