DOI: 10.5194/hess-18-981-2014
Scopus记录号: 2-s2.0-84900568601
论文题名: A spatial bootstrap technique for parameter estimation of rainfall annual maxima distribution
作者: Uboldi F ; , Sulis A ; N ; , Lussana C ; , Cislaghi M ; , Russo M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 3 起始页码: 981
结束页码: 995
语种: 英语
Scopus关键词: Bootstrap technique
; Estimated parameter
; Northern Italy
; Precipitation time series
; Rainfall depths
; Regionalisation
; Spatial dependence
; Spatial gradients
; Complex networks
; Frequency estimation
; Uncertainty analysis
; Rain
; bootstrapping
; climatology
; complex terrain
; data set
; map
; parameterization
; rainfall-runoff modeling
; raingauge
; regionalization
; return period
; spatial distribution
; time series
; Italy
; Lombardy
英文摘要: Estimation of extreme event distributions and depth-duration-frequency (DDF) curves is achieved at any target site by repeated sampling among all available raingauge data in the surrounding area. The estimate is computed over a gridded domain in Northern Italy, using precipitation time series from 1929 to 2011, including data from historical analog stations and from the present-day automatic observational network. The presented local regionalisation naturally overcomes traditional station-point methods, with their demand of long historical series and their sensitivity to very rare events occurring at very few stations, possibly causing unrealistic spatial gradients in DDF relations. At the same time, the presented approach allows for spatial dependence, necessary in a geographical domain such as Lombardy, complex for both its topography and its climatology. The bootstrap technique enables evaluating uncertainty maps for all estimated parameters and for rainfall depths at assigned return periods. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78301
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: ARPA Lombardia, Regional Hydrographic Service, Milano, Italy; Norwegian Meteorological Institute, Climatology Division, Oslo, Norway
Recommended Citation:
Uboldi F,, Sulis A,N,et al. A spatial bootstrap technique for parameter estimation of rainfall annual maxima distribution[J]. Hydrology and Earth System Sciences,2014-01-01,18(3)