DOI: 10.1002/jgrd.50323
论文题名: Multisegment statistical bias correction of daily GCM precipitation output
作者: Grillakis M.G. ; Koutroulis A.G. ; Tsanis I.K.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 8 起始页码: 3150
结束页码: 3162
语种: 英语
英文关键词: bias correction
; climate change
; climate model
; global mean precipitation and extremes
; transfer function
Scopus关键词: Climate change
; Climate models
; Electromagnetic wave attenuation
; Precipitation (meteorology)
; Transfer functions
; Bias correction
; Bias-correction methods
; Cumulative density functions
; General circulation model
; Global precipitation
; Information criterion
; Mean precipitation
; Performance estimator
; Lasers
; atmospheric correction
; climate change
; climate modeling
; general circulation model
; precipitation (climatology)
; transfer function
英文摘要: An improved bias correction method for daily general circulation model (GCM) precipitation is presented. The method belongs to the widely used family of quantile mapping correction methods. The method uses different instances of gamma function that are fitted on multiple discrete segments on the precipitation cumulative density function (CDF), instead of the common quantile-quantile approach that uses one theoretical distribution to fit the entire CDF. This imposes to the method the ability to better transfer the observed precipitation statistics to the raw GCM data. The selection of the segment number is performed by an information criterion to poise between complexity and efficiency of the transfer function. The global precipitation output of Institut Pierre Simon Laplace Coupled Model for the period 1960-2000 is bias corrected using the precipitation observations of WATCH Forcing Data. The 1960-1980 period of observations was used to calibrate the bias correction method, while 1981-2000 was used for validation. The proposed method performs well on the validation period, according to two performance estimators. ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63800
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Environmental Engineering, Technical University of Crete, Chania, Greece; Department of Civil Engineering, McMaster University, Hamilton ON L8S 4L7, Canada
Recommended Citation:
Grillakis M.G.,Koutroulis A.G.,Tsanis I.K.. Multisegment statistical bias correction of daily GCM precipitation output[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(8)