Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025647 |
Sensing Area-Average Snow Water Equivalent with Cosmic-Ray Neutrons: The Influence of Fractional Snow Cover | |
Schattan, P.1,2; Koehli, M.3,4; Schroen, M.5; Baroni, G.6; Oswald, S. E.7 | |
2019-12-13 | |
发表期刊 | WATER RESOURCES RESEARCH
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10796-10812 |
文章类型 | Article |
语种 | 英语 |
国家 | Austria; Germany; Italy |
英文摘要 | Cosmic-ray neutron sensing (CRNS) is a promising non-invasive technique to estimate snow water equivalent (SWE) over large areas. In contrast to preliminary studies focusing on shallow snow conditions (SWE <130 mm), more recently the method was shown experimentally to be sensitive also to deeper snowpacks providing the basis for its use at mountain experimental sites. However, hysteretic neutron response has been observed for complex snow cover including patchy snow-free areas. In the present study we aimed to understand and support the experimental findings using a comprehensive neutron modeling approach. Several simulations have been set up in order to disentangle the effect on the signal of different land surface characteristics and to reproduce multiple observations during periods of snow melt and accumulation. To represent the actual land surface heterogeneity and the complex snow cover, the model used data from terrestrial laser scanning. The results show that the model was able to accurately reproduce the CRNS signal and particularly the hysteresis effect during accumulation and melting periods. Moreover, the sensor footprint was found to be anisotropic and affected by the spatial distribution of liquid water and snow as well as by the topography of the nearby mountains. Under fully snow-covered conditions the CRNS is able to accurately estimate SWE without prior knowledge about snow density profiles or other spatial anomalies. These results provide new insights into the characteristics of the detected neutron signal in complex terrain and support the use of CRNS for long-term snow monitoring in high elevated mountain environments. |
英文关键词 | area-average snow monitoring cosmic-ray neutron sensing neutron simulations spatial heterogeneity fractional snow cover |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000502466000001 |
WOS关键词 | SOIL-MOISTURE ; ALPINE CATCHMENT ; CALIBRATION ; SCIENCE ; QUANTIFICATION ; SIMULATIONS ; VARIABILITY ; VALIDATION ; TRANSPORT ; TERRAIN |
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/223985 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Innsbruck, Inst Geog, Innsbruck, Austria; 2.alpS GmbH, Innsbruck, Austria; 3.Heidelberg Univ, Phys Inst, Heidelberg, Germany; 4.Univ Bonn, Phys Inst, Bonn, Germany; 5.UFZ Helmholtz Ctr Environm Res, Leipzig, Germany; 6.Univ Bologna, Dept Agr & Food Sci, Bologna, Italy; 7.Univ Potsdam, Inst Environm Sci & Geog, Potsdam, Germany |
推荐引用方式 GB/T 7714 | Schattan, P.,Koehli, M.,Schroen, M.,et al. Sensing Area-Average Snow Water Equivalent with Cosmic-Ray Neutrons: The Influence of Fractional Snow Cover[J]. WATER RESOURCES RESEARCH,2019,55(12):10796-10812. |
APA | Schattan, P.,Koehli, M.,Schroen, M.,Baroni, G.,&Oswald, S. E..(2019).Sensing Area-Average Snow Water Equivalent with Cosmic-Ray Neutrons: The Influence of Fractional Snow Cover.WATER RESOURCES RESEARCH,55(12),10796-10812. |
MLA | Schattan, P.,et al."Sensing Area-Average Snow Water Equivalent with Cosmic-Ray Neutrons: The Influence of Fractional Snow Cover".WATER RESOURCES RESEARCH 55.12(2019):10796-10812. |
条目包含的文件 | 条目无相关文件。 |
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