globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-5009-2017
Scopus记录号: 2-s2.0-85027361345
论文题名:
Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity
作者: Schrön M; , Köhli M; , Scheiffele L; , Iwema J; , Bogena H; R; , Lv L; , Martini E; , Baroni G; , Rosolem R; , Weimar J; , Mai J; , Cuntz M; , Rebmann C; , Oswald S; E; , Dietrich P; , Schmidt U; , Zacharias S
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:10
起始页码: 5009
结束页码: 5030
语种: 英语
Scopus关键词: Calibration ; Continuous time systems ; Cosmology ; Moisture ; Neutrons ; Soil moisture ; Calibration and validations ; Cosmic ray neutron ; Hydrological process ; Multiple calibration ; Neutron intensities ; Sensitivity functions ; Spatial sensitivity ; Weighting approaches ; Cosmic rays ; accuracy assessment ; calibration ; cosmic ray ; light ; model validation ; performance assessment ; sampling ; sensitivity analysis ; sensor ; soil depth ; soil moisture ; soil water ; spatial analysis ; water content
英文摘要: In the last few years the method of cosmic-ray neutron sensing (CRNS) has gained popularity among hydrologists, physicists, and land-surface modelers. The sensor provides continuous soil moisture data, averaged over several hectares and tens of decimeters in depth. However, the signal still may contain unidentified features of hydrological processes, and many calibration datasets are often required in order to find reliable relations between neutron intensity and water dynamics. Recent insights into environmental neutrons accurately described the spatial sensitivity of the sensor and thus allowed one to quantify the contribution of individual sample locations to the CRNS signal. Consequently, data points of calibration and validation datasets are suggested to be averaged using a more physically based weighting approach. In this work, a revised sensitivity function is used to calculate weighted averages of point data. The function is different from the simple exponential convention by the extraordinary sensitivity to the first few meters around the probe, and by dependencies on air pressure, air humidity, soil moisture, and vegetation. The approach is extensively tested at six distinct monitoring sites: two sites with multiple calibration datasets and four sites with continuous time series datasets. In all cases, the revised averaging method improved the performance of the CRNS products. The revised approach further helped to reveal hidden hydrological processes which otherwise remained unexplained in the data or were lost in the process of overcalibration. The presented weighting approach increases the overall accuracy of CRNS products and will have an impact on all their applications in agriculture, hydrology, and modeling. © Authors 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79036
Appears in Collections:气候变化事实与影响

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作者单位: Dept. Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany; Dept. Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany; Physikalisches Institut, Heidelberg University, Heidelberg, Germany; Physikalisches Institut, University of Bonn, Bonn, Germany; Institute of Earth and Environmental Science, University of Potsdam, Postdam, Germany; Faculty of Engineering, University of Bristol, Bristol, United Kingdom; Agrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany; Dept. of Plants Soils and Climate, Utah State University, Logan, United States; Cabot Institute, University of Bristol, Bristol, United Kingdom; Dept. of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada; INRA, Université de Lorraine, UMR1137, Ecology et Ecophysiologie Forestière, Champenoux, France

Recommended Citation:
Schrön M,, Köhli M,, Scheiffele L,et al. Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity[J]. Hydrology and Earth System Sciences,2017-01-01,21(10)
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