DOI: 10.1007/s10584-014-1263-4
Scopus记录号: 2-s2.0-84911972769
论文题名: Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change
作者: Smith P.C. ; Heinrich G. ; Suklitsch M. ; Gobiet A. ; Stoffel M. ; Fuhrer J.
刊名: Climatic Change
ISSN: 0165-0009
EISSN: 1573-1480
出版年: 2014
卷: 127, 期: 2018-03-04 起始页码: 521
结束页码: 534
语种: 英语
Scopus关键词: Bias correction
; Irrigation water requirements
; climate change
; data set
; estimation method
; grassland
; growing season
; irrigation
; maize
; snowmelt
; uncertainty analysis
; water availability
; water resource
; water supply
; weather station
; Rhone Basin
; Switzerland
英文摘要: Irrigation water requirements (IWR) are expected to be influenced by changes in the climate variables driving water availability in the soil-plant system. Most of the agricultural surface areas of the heterogeneous Swiss Rhone catchment are already exposed to drought. Aiming at investigating future pressures on the water resources to fill the growing gap between rain-fed and optimum water supply for cultivation, we downscaled and bias corrected 16 regional climate scenarios from the ENSEMBLES dataset for the period 1951–2050 using a Quantile Mapping methodology calibrated with daily observations from 5 contrasting weather stations. The data reveal an increased evaporative demand over the growing season for almost all stations and scenarios (2021–2049 vs. 1981–2009). The picture is less clear for precipitation, with a projected decrease or increase depending on the scenario, station and month. The main results indicate that bias correction of climate scenarios not only reduces the remaining error between baseline and observations but also enhances the change signal in seasonal IWR estimates. This is due to a higher and more realistic sensitivity of IWR to the atmospheric water budget, the slope of this relationship being steeper in the observations than in the uncorrected data. The seasonal cycle of the IWR change signal shows different sensitivities and climate drivers across crops (grassland and maize) and stations, but a consistent trend towards an increase despite uncertainty. This increased water demand will have to be reconciled with possibly decreased or shifted future water availability from glacier and snow melt. © 2014, Springer Science+Business Media Dordrecht. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/84862
Appears in Collections: 气候减缓与适应 气候变化事实与影响
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作者单位: Agroscope, Air pollution/Climate Group, Reckenholzstrasse 191, Zürich, Switzerland; Institute for Environmental Sciences, University of Geneva, 7 route de Drize, Carouge, Switzerland; Wegener Center for Climate and Global Change, University of Graz, Brandhofgasse 5, Graz, Austria; Central Institute for Meteorology and Geodynamics, Hohe Warte 38, Vienna, Austria
Recommended Citation:
Smith P.C.,Heinrich G.,Suklitsch M.,et al. Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change[J]. Climatic Change,2014-01-01,127(2018-03-04)