DOI: 10.1002/2015GL063963
论文题名: Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real-time monitoring
作者: Franz T.E. ; Wang T. ; Avery W. ; Finkenbiner C. ; Brocca L.
刊名: Geophysical Research Letters
ISSN: 0094-9124
EISSN: 1944-8855
出版年: 2015
卷: 42, 期: 9 起始页码: 3389
结束页码: 3396
语种: 英语
英文关键词: agriculture
; cosmic ray neutron probe
; data merging
; Nebraska
; soil moisture network
Scopus关键词: Agriculture
; Cosmic ray measurement
; Cosmic rays
; Cosmology
; Mean square error
; Moisture
; Moisture control
; Neutrons
; Probes
; Regression analysis
; Remote sensing
; Soil moisture
; Soils
; Cosmic ray neutron
; Data merging
; Nebraska
; Remotely sensed soil moisture
; Root mean square errors
; Soil moisture networks
; Spatio-temporal resolution
; Spatio-temporal scale
; Soil surveys
; accuracy assessment
; cosmic ray
; ecohydrology
; error correction
; land surface
; real time
; regression analysis
; remote sensing
; soil moisture
; spatiotemporal analysis
; Nebraska
; United States
英文摘要: Soil moisture partly controls land-atmosphere mass and energy exchanges and ecohydrological processes in natural and agricultural systems. Thus, many models and remote sensing products continue to improve their spatiotemporal resolution of soil moisture, with some land surface models reaching 1km resolution. However, the reliability and accuracy of both modeled and remotely sensed soil moisture require comparison with ground measurements at the appropriate spatiotemporal scales. One promising technique is the cosmic ray neutron probe. Here we further assess the suitability of this technique for real-time monitoring across a large area by combining data from three fixed probes and roving surveys over a 12km×12km area in eastern Nebraska. Regression analyses indicated linear relationships between the fixed probe averages and roving estimates of soil moisture for each grid cell, allowing us to derive an 8h product at spatial resolutions of 1, 3, and 12km, with root-mean-square error of 3%, 1.8%, and 0.9%. Key Points Combine fixed and roving cosmic ray neutron soil moisture data sets Data merging techniques to design soil moisture network at different scales Soil moisture network can provide spatiotemporal data and stats for downscaling ©2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930472736&doi=10.1002%2f2015GL063963&partnerID=40&md5=75b3b7389080875faedcabd9d8819e94
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8740
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States
Recommended Citation:
Franz T.E.,Wang T.,Avery W.,et al. Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real-time monitoring[J]. Geophysical Research Letters,2015-01-01,42(9).