Analysis of within and between-GCM uncertainties of runoff projections in Mediterranean-like catchments
Author
dc.contributor.author
Barria, Pilar A.
Author
dc.contributor.author
Peel, Murray C.
Author
dc.contributor.author
Walsh, Kevin J. E.
Author
dc.contributor.author
Garreaud Salazar, René
Admission date
dc.date.accessioned
2018-05-09T17:09:35Z
Available date
dc.date.available
2018-05-09T17:09:35Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Journal of Southern Hemisphere Earth Systems Science (2017) 67:3, 181-213
es_ES
Identifier
dc.identifier.other
10.22499/3.6703.003
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/147593
Abstract
dc.description.abstract
Streamflow reductions have been reported in mid-latitude Southern Hemisphere (SH) catchments, in
particular in the southwest of Western Australia (SWA) and in central Chile (CC), following decreases in
precipitation since the mid-1970s. Although projections from Global Climate Models (GCMs) indicate the
observed trends are expected to continue during the rest of the 21st century, they are affected by large
uncertainties that challenge informed decision making. Quantification and comparison of uncertainties in
runoff projections for the period 2050-2080 relative to 1970-2000, driven by an ensemble of a single GCM
with perturbed physics (CPDN) and a multi-model ensemble of different GCMs (CMIP5), were used to
account for what we term “within-GCM” and “between-GCM” uncertainty in SWA catchments. Between-
GCM uncertainty of runoff projections was also quantified in CC catchments. Within and between-GCM
uncertainties were found to be very similar (~55 per cent) in SWA catchments. Between-GCM uncertainty
for runoff projections in CC catchments is smaller than in SWA. On average, uncertainty of about 51 per
cent, under RCP8.5 scenario, was simulated for the period 2050-2080 compared to 1970-2000. For CC
catchments a dichotomy was observed in runoff projections under the RCP4.5 scenario, which according
to our preliminary analysis might relate to how ozone is specified within different GCMs. We conclude that
the number of models sampled by the CMIP5 ensemble, which includes multiple model runs from some
GCMs, provides some insight into within-GCM uncertainties. Furthermore, since CMIP5 model runs report
values for all regions and are easily accessible, the CMIP5 ensemble is more convenient for regional
hydrological assessments than the perturbed physics experiments.
es_ES
Patrocinador
dc.description.sponsorship
Australian Research Council (ARC) Centre of Excellence for Climate System Science, CE110001028
CONICYT Becas Chile
Australian Research Council Future Fellowship, FT120100130