Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024089 |
Characterizing Maritime Snow Canopy Interception in Forested Mountains | |
Roth, T. R.1; Nolin, A. W.1,2 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:4564-4581 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Air temperature (T-air) plays an important role in determining how a canopy intercepts snow and apart from event size is the single most important micrometeorological variable found to adequately influence interception rates and magnitude. We present results from a 6-year study on snow-forest interactions. This data set reveals the central role T-air plays in how a forest intercepts snow and the need to effectively incorporate this within snow process models. Warm temperature events show a higher canopy interception efficiency (CIE) for all sites across the study period, while colder T-air events demonstrated a lower corresponding CIE. Additionally, there is a structural component of the forest itself that plays a role in the ability of canopy to intercept snow. Recognizing the physical vertical structure of a forest as nontrivial, we present a simple canopy interception model that includes a novel three-dimensional forest metric that captures canopy complexity, G(z), combined with event size and T-air to adequately predict event-based interception. Low complexity forests decrease interception capacity from the outset, whereas a highly complex or diverse forest increases interception potential and leads to a nonlinear increase in temperature-based canopy interception due to more surface area able to intercept falling snow. Essentially, forest structure sets the boundary condition of the potential to intercept, while event size and T-air determines the rate or amount of interception. We develop a simple canopy snow interception model from these data and compare modeled output against three commonly used interception models in both a maritime and continental snow climate. Partitioning the relative importance of snow-forest interactions on canopy interception will help provide the information to accurately model snow-forest interactions and also aid in our water resources predictive capabilities now and into the future. |
英文关键词 | canopy snow interception snow-forest processes snow modeling aerial lidar |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616900004 |
WOS关键词 | ATMOSPHERIC RIVERS ; STRUCTURE METRICS ; ENERGY-BALANCE ; UNITED-STATES ; ACCUMULATION ; LIDAR ; OREGON ; EVAPORATION ; INCREASES ; CLIMATE |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183958 |
专题 | 资源环境科学 |
作者单位 | 1.Oregon State Univ, Water Resources Grad Program, Corvallis, OR 97331 USA; 2.Univ Nevada, Water Resources Grad Program, Reno, NV 89557 USA |
推荐引用方式 GB/T 7714 | Roth, T. R.,Nolin, A. W.. Characterizing Maritime Snow Canopy Interception in Forested Mountains[J]. WATER RESOURCES RESEARCH,2019,55(6):4564-4581. |
APA | Roth, T. R.,&Nolin, A. W..(2019).Characterizing Maritime Snow Canopy Interception in Forested Mountains.WATER RESOURCES RESEARCH,55(6),4564-4581. |
MLA | Roth, T. R.,et al."Characterizing Maritime Snow Canopy Interception in Forested Mountains".WATER RESOURCES RESEARCH 55.6(2019):4564-4581. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Roth, T. R.]的文章 |
[Nolin, A. W.]的文章 |
百度学术 |
百度学术中相似的文章 |
[Roth, T. R.]的文章 |
[Nolin, A. W.]的文章 |
必应学术 |
必应学术中相似的文章 |
[Roth, T. R.]的文章 |
[Nolin, A. W.]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论