globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.07.013
Scopus记录号: 2-s2.0-84997771246
论文题名:
Deploying temporary networks for upscaling of sparse network stations
作者: Coopersmith E; J; , Cosh M; H; , Bell J; E; , Kelly V; , Hall M; , Palecki M; A; , Temimi M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52
起始页码: 433
结束页码: 444
语种: 英语
英文关键词: Data mining ; In-situ observation ; Soil moisture ; Temporary networks ; Upscaling
Scopus关键词: data mining ; in situ measurement ; network analysis ; precipitation (climatology) ; sensor ; soil moisture ; upscaling ; New York [United States] ; Tennessee ; United States
英文摘要: Soil observations networks at the national scale play an integral role in hydrologic modeling, drought assessment, agricultural decision support, and our ability to understand climate change. Understanding soil moisture variability is necessary to apply these measurements to model calibration, business and consumer applications, or even human health issues. The installation of soil moisture sensors as sparse, national networks is necessitated by limited financial resources. However, this results in the incomplete sampling of the local heterogeneity of soil type, vegetation cover, topography, and the fine spatial distribution of precipitation events. To this end, temporary networks can be installed in the areas surrounding a permanent installation within a sparse network. The temporary networks deployed in this study provide a more representative average at the 3 km and 9 km scales, localized about the permanent gauge. The value of such temporary networks is demonstrated at test sites in Millbrook, New York and Crossville, Tennessee. The capacity of a single U.S. Climate Reference Network (USCRN) sensor set to approximate the average of a temporary network at the 3 km and 9 km scales using a simple linear scaling function is tested. The capacity of a temporary network to provide reliable estimates with diminishing numbers of sensors, the temporal stability of those networks, and ultimately, the relationship of the variability of those networks to soil moisture conditions at the permanent sensor are investigated. In this manner, this work demonstrates the single-season installation of a temporary network as a mechanism to characterize the soil moisture variability at a permanent gauge within a sparse network. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80054
Appears in Collections:气候变化事实与影响

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作者单位: USDA-ARS-Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States; Cooperative Institute for Climate and Satellites - NC, Asheville, NC, United States; Cary Institute of Ecosystem Studies, MillbrookNY, United States; NOAA-ATDD/Oak Ridge Associated University, Oak Ridge, TN, United States; NOAA's National Centers for Environmental Information, Asheville, NC, United States; City College of New York, New York, NY, United States; Masdar Institute of Science and Technology, United Arab Emirates

Recommended Citation:
Coopersmith E,J,, Cosh M,et al. Deploying temporary networks for upscaling of sparse network stations[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52
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