Bastola, Satish, Murphy, Conor and Fealy, Rowan (2012) Generating probabilistic estimates of hydrological response for Irish catchments using a weather generator and probabilistic climate change scenarios. Hydrological Processes, 26. pp. 2307-2321. ISSN 0885-6087
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Abstract
In accounting for uncertainties in future simulations of hydrological response of a catchment, two approaches have come to the
fore: deterministic scenario-based approaches and stochastic probabilistic approaches. As scenario-based approaches result in a
wide range of outcomes, the role of probabilistic-based estimates of climate change impacts for policy formulation has been
increasingly advocated by researchers and policy makers. This study evaluates the impact of climate change on seasonal river
flows by propagating daily climate time series, derived from probabilistic-based climate scenarios using a weather generator
(WGEN), through a set of conceptual hydrological models. Probabilistic scenarios are generated using two different techniques.
The first technique used probabilistic climate scenarios developed from statistically downscaled scenarios for Ireland, hereafter
called SDprob. The second technique used output from 17 global climate models (GCMs), all of which participated in CMIP3, to
generate change factors (hereafter called CF). Outputs from both the SDprob and the CF approach were then used in combination
with WGEN to generate daily climate scenarios for use in the hydrological models. The range of simulated flow derived with the
CF method is in general larger than those estimated with the SDprob method in winter and vice versa because of the strong
seasonality in the precipitation signal for the 17 GCMs. Despite this, the simulated probability density function of seasonal mean
streamflow estimated with both methods is similar. This indicates the usefulness of the SDprob or probabilistic approach derived
from regional scenarios compared with the CF method that relies on sampling a diversity of response from the GCMs.
Irrespective of technique used, the probability density functions of seasonal mean flow produced for four selected basins is wide
indicating considerable modelling uncertainties. Such a finding has important implications for developing adaptation strategies at
the catchment level in Ireland
Item Type: | Article |
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Keywords: | probabilistic climate change scenario; hydrological models; weather generators; Generalised Likelihood Uncertainty Estimation (GLUE); |
Academic Unit: | Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS |
Item ID: | 4360 |
Depositing User: | Rowan Fealy |
Date Deposited: | 13 May 2013 13:16 |
Journal or Publication Title: | Hydrological Processes |
Publisher: | Wiley-Blackwell |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/4360 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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