DOI: 10.1002/2014GL061322
论文题名: Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target
作者: McColl K.A. ; Vogelzang J. ; Konings A.G. ; Entekhabi D. ; Piles M. ; Stoffelen A.
刊名: Geophysical Research Letters
ISSN: 0094-9818
EISSN: 1944-9549
出版年: 2014
卷: 41, 期: 17 起始页码: 6229
结束页码: 6236
语种: 英语
Scopus关键词: Calibration
; Geophysics
; Mean square error
; Signal to noise ratio
; Calibration and validations
; Correlation coefficient
; Geophysical measurements
; Measurement system
; Mutually independents
; Performance metrices
; Root mean square errors
; Validation results
; Measurement errors
; calibration
; estimation method
; geophysical method
; measurement method
; signal-to-noise ratio
英文摘要: Calibration and validation of geophysical measurement systems typically require knowledge of the "true" value of the target variable. However, the data considered to represent the "true" values often include their own measurement errors, biasing calibration, and validation results. Triple collocation (TC) can be used to estimate the root-mean-square-error (RMSE), using observations from three mutually independent, error-prone measurement systems. Here, we introduce Extended Triple Collocation (ETC): using exactly the same assumptions as TC, we derive an additional performance metric, the correlation coefficient of the measurement system with respect to the unknown target, ρt ;Xi . We demonstrate that ρt 2 ;Xi is the scaled, unbiased signal-to-noise ratio and provides a complementary perspective compared to the RMSE. We apply it to three collocated wind data sets. Since ETC is as easy to implement as TC, requires no additional assumptions, and provides an extra performance metric, it may be of interest in a wide range of geophysical disciplines. © 2014. American Geophysical Union. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907943424&doi=10.1002%2f2014GL061322&partnerID=40&md5=af5751710a5e0dd87fbcca670cc05dd0
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7082
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
Recommended Citation:
McColl K.A.,Vogelzang J.,Konings A.G.,et al. Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target[J]. Geophysical Research Letters,2014-01-01,41(17).