DOI: 10.5194/hess-19-3489-2015
Scopus记录号: 2-s2.0-84938889765
论文题名: Characterization of precipitation product errors across the United States using multiplicative triple collocation
作者: Alemohammad S ; H ; , McColl K ; A ; , Konings A ; G ; , Entekhabi D ; , Stoffelen A
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 8 起始页码: 3489
结束页码: 3503
语种: 英语
Scopus关键词: Balloons
; Errors
; Mean square error
; Soil moisture
; Wind effects
; Additive error model
; Data assimilation
; Ground based radar
; Mean squared error
; Meteorological models
; Physical interpretation
; Precipitation estimation
; Precipitation products
; Uncertainty analysis
; data assimilation
; error analysis
; instrumentation
; model validation
; NEXRAD
; precipitation assessment
; spatial analysis
; TRMM
; uncertainty analysis
; United States
英文摘要: Validation of precipitation estimates from various products is a challenging problem, since the true precipitation is unknown. However, with the increased availability of precipitation estimates from a wide range of instruments (satellite, ground-based radar, and gauge), it is now possible to apply the triple collocation (TC) technique to characterize the uncertainties in each of the products. Classical TC takes advantage of three collocated data products of the same variable and estimates the mean squared error of each, without requiring knowledge of the truth. In this study, triplets among NEXRAD-IV, TRMM 3B42RT, GPCP 1DD, and GPI products are used to quantify the associated spatial error characteristics across a central part of the continental US. Data are aggregated to biweekly accumulations from January 2002 through April 2014 across a 2° × 2° spatial grid. This is the first study of its kind to explore precipitation estimation errors using TC across the US. A multiplicative (logarithmic) error model is incorporated in the original TC formulation to relate the precipitation estimates to the unknown truth. For precipitation application, this is more realistic than the additive error model used in the original TC derivations, which is generally appropriate for existing applications such as in the case of wind vector components and soil moisture comparisons. This study provides error estimates of the precipitation products that can be incorporated into hydrological and meteorological models, especially those used in data assimilation. Physical interpretations of the error fields (related to topography, climate, etc.) are explored. The methodology presented in this study could be used to quantify the uncertainties associated with precipitation estimates from each of the constellations of GPM satellites. Such quantification is prerequisite to optimally merging these estimates. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78448
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States; Koninklijk Nederlands Meteorologisch Instituut (KNMI), RandD Satellite Observations, De Bilt, Netherlands
Recommended Citation:
Alemohammad S,H,, McColl K,et al. Characterization of precipitation product errors across the United States using multiplicative triple collocation[J]. Hydrology and Earth System Sciences,2015-01-01,19(8)