TY - JOUR
T1 - Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP
AU - Davie, J. C. S.
AU - Falloon, P. D.
AU - Kahana, R.
AU - Dankers, R.
AU - Betts, R.
AU - Portmann, F. T.
AU - Wisser, D.
AU - Clark, D. B.
AU - Ito, A.
AU - Masaki, Y.
AU - Nishina, K.
AU - Fekete, B.
AU - Tessler, Z.
AU - Wada, Y.
AU - Liu, X.
AU - Tang, Q.
AU - Hagemann, S.
AU - Stacke, T.
AU - Pavlick, R.
AU - Schaphoff, S.
AU - Gosling, S. N.
AU - Franssen, W.
AU - Arnell, N.
PY - 2013
Y1 - 2013
N2 - Future changes in runoff can have important implications for water
resources and flooding. In this study, runoff projections from ISI-MIP
(Inter-sectoral Impact Model Intercomparison Project) simulations forced
with HadGEM2-ES bias-corrected climate data under the Representative
Concentration Pathway 8.5 have been analysed for differences between
impact models. Projections of change from a baseline period (1981-2010)
to the future (2070-2099) from 12 impacts models which contributed to
the hydrological and biomes sectors of ISI-MIP were studied. The biome
models differed from the hydrological models by the inclusion of
CO2 impacts and most also included a dynamic vegetation
distribution. The biome and hydrological models agreed on the sign of
runoff change for most regions of the world. However, in West Africa,
the hydrological models projected drying, and the biome models a
moistening. The biome models tended to produce larger increases and
smaller decreases in regionally averaged runoff than the hydrological
models, although there is large inter-model spread. The timing of runoff
change was similar, but there were differences in magnitude,
particularly at peak runoff. The impact of vegetation distribution
change was much smaller than the projected change over time, while
elevated CO2 had an effect as large as the magnitude of
change over time projected by some models in some regions. The effect of
CO2 on runoff was not consistent across the models, with two
models showing increases and two decreases. There was also more spread
in projections from the runs with elevated CO2 than with
constant CO2. The biome models which gave increased runoff
from elevated CO2 were also those which differed most from
the hydrological models. Spatially, regions with most difference between
model types tended to be projected to have most effect from elevated
CO2, and seasonal differences were also similar, so elevated
CO2 can partly explain the differences between hydrological
and biome model runoff change projections. Therefore, this shows that a
range of impact models should be considered to give the full range of
uncertainty in impacts studies.
AB - Future changes in runoff can have important implications for water
resources and flooding. In this study, runoff projections from ISI-MIP
(Inter-sectoral Impact Model Intercomparison Project) simulations forced
with HadGEM2-ES bias-corrected climate data under the Representative
Concentration Pathway 8.5 have been analysed for differences between
impact models. Projections of change from a baseline period (1981-2010)
to the future (2070-2099) from 12 impacts models which contributed to
the hydrological and biomes sectors of ISI-MIP were studied. The biome
models differed from the hydrological models by the inclusion of
CO2 impacts and most also included a dynamic vegetation
distribution. The biome and hydrological models agreed on the sign of
runoff change for most regions of the world. However, in West Africa,
the hydrological models projected drying, and the biome models a
moistening. The biome models tended to produce larger increases and
smaller decreases in regionally averaged runoff than the hydrological
models, although there is large inter-model spread. The timing of runoff
change was similar, but there were differences in magnitude,
particularly at peak runoff. The impact of vegetation distribution
change was much smaller than the projected change over time, while
elevated CO2 had an effect as large as the magnitude of
change over time projected by some models in some regions. The effect of
CO2 on runoff was not consistent across the models, with two
models showing increases and two decreases. There was also more spread
in projections from the runs with elevated CO2 than with
constant CO2. The biome models which gave increased runoff
from elevated CO2 were also those which differed most from
the hydrological models. Spatially, regions with most difference between
model types tended to be projected to have most effect from elevated
CO2, and seasonal differences were also similar, so elevated
CO2 can partly explain the differences between hydrological
and biome model runoff change projections. Therefore, this shows that a
range of impact models should be considered to give the full range of
uncertainty in impacts studies.
U2 - 10.5194/esd-4-359-2013
DO - 10.5194/esd-4-359-2013
M3 - Article
SN - 2190-4979
VL - 4
SP - 359
EP - 374
JO - Earth System Dynamics
JF - Earth System Dynamics
IS - 2
ER -