Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017WR022017 |
Modeling Subgrid variability of Snow Depth Using the Fokker-Planck Equation Approach | |
He, Siwei1,2,3; Ohara, Noriaki1 | |
2019-04-01 | |
发表期刊 | WATER RESOURCES RESEARCH
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:4页码:3137-3155 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A physically based subgrid variability model for snow process using the Fokker-Planck equation (FPE) approach was proposed. This FPE can express the evolution of the probability density function (PDF) of snow depth within a finite area, possibly a grid cell of distributed models or a small basin, whose shape can be irregular. The main advantage of this approach is that it does not rely on a given PDF but dynamically computes the PDF through an advection-diffusion-type equation, the FPE, which was derived from point-scale process-based governing equations. Snow depth was treated as a random variable, while the snow redistribution and snowmelt rate were treated as the sources of stochasticity. The main challenge in solving this FPE is evaluating the time-space covariances appearing in the diffusion coefficient. In this study, approximations to evaluate the covariance terms, accounting for snowmelt and snow redistribution, were proposed. The simulated results of the FPE model were validated by the measured time series of snow depth at one site and the spatial distributions of snow depth measured by ground penetrating radar and airborne light detection and ranging (Lidar). It was shown that the point-observed snow depth fell within the simulated range during most of the 2-year study period. The simulated PDFs of snow depth within the study area were similar to the observed PDFs of snow depth by ground penetrating radar and Lidar. In summary, these results demonstrate the efficacy of the proposed FPE model representing the subgrid variability of snow depth. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000468597900031 |
WOS关键词 | SPATIAL VARIABILITY ; WATER EQUIVALENT ; SOLUTE TRANSPORT ; WIND-SPEED ; PARAMETERIZATION ; HETEROGENEITIES ; REPRESENTATION ; ACCUMULATION ; MOMENTUM ; MOISTURE |
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/182236 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Wyoming, Dept Civil & Architectural Engn, Laramie, WY 82071 USA; 2.CNR, Washington, DC 20418 USA; 3.NOAA, Earth Syst Res Lab, Boulder, CO 80305 USA |
推荐引用方式 GB/T 7714 | He, Siwei,Ohara, Noriaki. Modeling Subgrid variability of Snow Depth Using the Fokker-Planck Equation Approach[J]. WATER RESOURCES RESEARCH,2019,55(4):3137-3155. |
APA | He, Siwei,&Ohara, Noriaki.(2019).Modeling Subgrid variability of Snow Depth Using the Fokker-Planck Equation Approach.WATER RESOURCES RESEARCH,55(4),3137-3155. |
MLA | He, Siwei,et al."Modeling Subgrid variability of Snow Depth Using the Fokker-Planck Equation Approach".WATER RESOURCES RESEARCH 55.4(2019):3137-3155. |
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 |
[He, Siwei]的文章 |
[Ohara, Noriaki]的文章 |
百度学术 |
百度学术中相似的文章 |
[He, Siwei]的文章 |
[Ohara, Noriaki]的文章 |
必应学术 |
必应学术中相似的文章 |
[He, Siwei]的文章 |
[Ohara, Noriaki]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