UNIGE document Scientific Article
previous document  unige:124657  next document
add to browser collection
Title

Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change

Authors
Heinrich, Georg
Suklitsch, Martin
Gobiet, Andreas
Fuhrer, Jürg
Published in Climatic Change. 2014, vol. 127, no. 3-4, p. 521-534
Abstract 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.
Identifiers
Full text
Article (Published version) (562 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Other version: http://link.springer.com/10.1007/s10584-014-1263-4
Structures
Citation
(ISO format)
SMITH, Pascalle et al. Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change. In: Climatic Change, 2014, vol. 127, n° 3-4, p. 521-534. doi: 10.1007/s10584-014-1263-4 https://archive-ouverte.unige.ch/unige:124657

50 hits

0 download

Update

Deposited on : 2019-10-21

Export document
Format :
Citation style :