Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR018825 |
Insights into mountain precipitation and snowpack from a basin-scale wireless-sensor network | |
Zhang, Z.1; Glaser, S.1; Bales, R.1,2,3; Conklin, M.2,3; Rice, R.2,3; Marks, D.4 | |
2017-08-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A spatially distributed wireless-sensor network, installed across the 2154 km(2) portion of the 5311 km(2) American River basin above 1500 m elevation, provided spatial measurements of temperature, relative humidity, and snow depth in the Sierra Nevada, California. The network consisted of 10 sensor clusters, each with 10 measurement nodes, distributed to capture the variability in topography and vegetation cover. The sensor network captured significant spatial heterogeneity in rain versus snow precipitation for water-year 2014, variability that was not apparent in the more limited operational data. Using daily dew-point temperature to track temporal elevational changes in the rain-snow transition, the amount of snow accumulation at each node was used to estimate the fraction of rain versus snow. This resulted in an underestimate of total precipitation below the 0 degrees C dew-point elevation, which averaged 1730 m across 10 precipitation events, indicating that measuring snow does not capture total precipitation. We suggest blending lower elevation rain gauge data with higher-elevation sensor-node data for each event to estimate total precipitation. Blended estimates were on average 15-30% higher than using either set of measurements alone. Using data from the current operational snow-pillow sites gives even lower estimates of basin-wide precipitation. Given the increasing importance of liquid precipitation in a warming climate, a strategy that blends distributed measurements of both liquid and solid precipitation will provide more accurate basin-wide precipitation estimates, plus spatial and temporal patters of snow accumulation and melt in a basin. |
英文关键词 | wireless-sensor network rain-snow transition mountain precipitation mountain snow |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411202000017 |
WOS关键词 | AMERICAN RIVER-BASIN ; GLOBAL LAND AREAS ; SIERRA-NEVADA ; CALIFORNIA ; SURFACE ; RADAR ; RAIN ; TEMPERATURE ; ELEVATION ; 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/21301 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA; 2.Univ Calif Merced, Sierra Nevada Res Inst, Merced, CA USA; 3.Univ Calif Merced, Sch Engn, Merced, CA USA; 4.ARS, USDA, Boise, ID USA |
推荐引用方式 GB/T 7714 | Zhang, Z.,Glaser, S.,Bales, R.,et al. Insights into mountain precipitation and snowpack from a basin-scale wireless-sensor network[J]. WATER RESOURCES RESEARCH,2017,53(8). |
APA | Zhang, Z.,Glaser, S.,Bales, R.,Conklin, M.,Rice, R.,&Marks, D..(2017).Insights into mountain precipitation and snowpack from a basin-scale wireless-sensor network.WATER RESOURCES RESEARCH,53(8). |
MLA | Zhang, Z.,et al."Insights into mountain precipitation and snowpack from a basin-scale wireless-sensor network".WATER RESOURCES RESEARCH 53.8(2017). |
条目包含的文件 | 条目无相关文件。 |
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