DOI: 10.1002/2015GL063188
论文题名: Statistical precipitation bias correction of gridded model data using point measurements
作者: Haerter J.O. ; Eggert B. ; Moseley C. ; Piani C. ; Berg P.
刊名: Geophysical Research Letters
ISSN: 0094-8872
EISSN: 1944-8603
出版年: 2015
卷: 42, 期: 6 起始页码: 1919
结束页码: 1929
语种: 英语
英文关键词: climate model
; extreme events
; precipitation
; rain gauge
; statistical bias correction
Scopus关键词: Gages
; Precipitation (chemical)
; Precipitation (meteorology)
; Rain
; Rain gages
; Statistics
; Extreme events
; Nonparametric methods
; Observational data
; Point measurement
; Rain gauges
; Scale adaptations
; Statistical bias
; Statistical precipitation
; Climate models
; climate modeling
; error correction
; extreme event
; hydrological modeling
; precipitation (climatology)
; statistical analysis
; turbulence
英文摘要: It is well known that climate model output data cannot be used directly as input to impact models, e.g., hydrology models, due to climate model errors. Recently, it has become customary to apply statistical bias correction to achieve better statistical correspondence to observational data. As climate model output should be interpreted as the space-time average over a given model grid box and output time step, the status quo in bias correction is to employ matching gridded observational data to yield optimal results. Here we show that when gridded observational data are not available, statistical bias correction can be carried out using point measurements, e.g., rain gauges. Our nonparametric method, which we call scale-adapted statistical bias correction (SABC), is achieved by data aggregation of either the available modeled or gauge data. SABC is a straightforward application of the well-known Taylor hypothesis of frozen turbulence. Using climate model and rain gauge data, we show that SABC performs significantly better than equal-time period statistical bias correction. Key Points Statistical bias correction using station data Improved corrections through scale adaptation Additional applications when comparing to station data for extreme events ©2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927720455&doi=10.1002%2f2015GL063188&partnerID=40&md5=fc255bd0f7a6c9201ae23b8d453cdee3
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8488
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: Niels Bohr Institute, Copenhagen, Denmark
Recommended Citation:
Haerter J.O.,Eggert B.,Moseley C.,et al. Statistical precipitation bias correction of gridded model data using point measurements[J]. Geophysical Research Letters,2015-01-01,42(6).