High-resolution projections of surface water availability for Tasmania, Australia

Changes to streamflows caused by climate change may have major impacts on the management of water for hydro-electricity generation and agriculture in Tasmania, Australia. We describe changes to Tasmanian surface water availability from 1961–1990 to 2070–2099 using high-resolution simulations. Six fi...

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Main Authors: J. C. Bennett, F. L. N. Ling, D. A. Post, M. R. Grose, S. P. Corney, B. Graham, G. K. Holz, J. J. Katzfey, N. L. Bindoff
Format: Article
Language:English
Published: Copernicus Publications 2012-05-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/16/1287/2012/hess-16-1287-2012.pdf
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spelling doaj-37a7ffa894f2414990980bc1e94e01c52020-11-25T00:01:47ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382012-05-011651287130310.5194/hess-16-1287-2012High-resolution projections of surface water availability for Tasmania, AustraliaJ. C. BennettF. L. N. LingD. A. PostM. R. GroseS. P. CorneyB. GrahamG. K. HolzJ. J. KatzfeyN. L. BindoffChanges to streamflows caused by climate change may have major impacts on the management of water for hydro-electricity generation and agriculture in Tasmania, Australia. We describe changes to Tasmanian surface water availability from 1961–1990 to 2070–2099 using high-resolution simulations. Six fine-scale (∼10 km<sup>2</sup>) simulations of daily rainfall and potential evapotranspiration are generated with the CSIRO Conformal Cubic Atmospheric Model (CCAM), a variable-resolution regional climate model (RCM). These variables are bias-corrected with quantile mapping and used as direct inputs to the hydrological models AWBM, IHACRES, Sacramento, SIMHYD and SMAR-G to project streamflows. <br><br> The performance of the hydrological models is assessed against 86 streamflow gauges across Tasmania. The SIMHYD model is the least biased (median bias = −3%) while IHACRES has the largest bias (median bias = −22%). We find the hydrological models that best simulate observed streamflows produce similar streamflow projections. <br><br> There is much greater variation in projections between RCM simulations than between hydrological models. Marked decreases of up to 30% are projected for annual runoff in central Tasmania, while runoff is generally projected to increase in the east. Daily streamflow variability is projected to increase for most of Tasmania, consistent with increases in rainfall intensity. Inter-annual variability of streamflows is projected to increase across most of Tasmania. <br><br> This is the first major Australian study to use high-resolution bias-corrected rainfall and potential evapotranspiration projections as direct inputs to hydrological models. Our study shows that these simulations are capable of producing realistic streamflows, allowing for increased confidence in assessing future changes to surface water variability.http://www.hydrol-earth-syst-sci.net/16/1287/2012/hess-16-1287-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. C. Bennett
F. L. N. Ling
D. A. Post
M. R. Grose
S. P. Corney
B. Graham
G. K. Holz
J. J. Katzfey
N. L. Bindoff
spellingShingle J. C. Bennett
F. L. N. Ling
D. A. Post
M. R. Grose
S. P. Corney
B. Graham
G. K. Holz
J. J. Katzfey
N. L. Bindoff
High-resolution projections of surface water availability for Tasmania, Australia
Hydrology and Earth System Sciences
author_facet J. C. Bennett
F. L. N. Ling
D. A. Post
M. R. Grose
S. P. Corney
B. Graham
G. K. Holz
J. J. Katzfey
N. L. Bindoff
author_sort J. C. Bennett
title High-resolution projections of surface water availability for Tasmania, Australia
title_short High-resolution projections of surface water availability for Tasmania, Australia
title_full High-resolution projections of surface water availability for Tasmania, Australia
title_fullStr High-resolution projections of surface water availability for Tasmania, Australia
title_full_unstemmed High-resolution projections of surface water availability for Tasmania, Australia
title_sort high-resolution projections of surface water availability for tasmania, australia
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2012-05-01
description Changes to streamflows caused by climate change may have major impacts on the management of water for hydro-electricity generation and agriculture in Tasmania, Australia. We describe changes to Tasmanian surface water availability from 1961–1990 to 2070–2099 using high-resolution simulations. Six fine-scale (∼10 km<sup>2</sup>) simulations of daily rainfall and potential evapotranspiration are generated with the CSIRO Conformal Cubic Atmospheric Model (CCAM), a variable-resolution regional climate model (RCM). These variables are bias-corrected with quantile mapping and used as direct inputs to the hydrological models AWBM, IHACRES, Sacramento, SIMHYD and SMAR-G to project streamflows. <br><br> The performance of the hydrological models is assessed against 86 streamflow gauges across Tasmania. The SIMHYD model is the least biased (median bias = −3%) while IHACRES has the largest bias (median bias = −22%). We find the hydrological models that best simulate observed streamflows produce similar streamflow projections. <br><br> There is much greater variation in projections between RCM simulations than between hydrological models. Marked decreases of up to 30% are projected for annual runoff in central Tasmania, while runoff is generally projected to increase in the east. Daily streamflow variability is projected to increase for most of Tasmania, consistent with increases in rainfall intensity. Inter-annual variability of streamflows is projected to increase across most of Tasmania. <br><br> This is the first major Australian study to use high-resolution bias-corrected rainfall and potential evapotranspiration projections as direct inputs to hydrological models. Our study shows that these simulations are capable of producing realistic streamflows, allowing for increased confidence in assessing future changes to surface water variability.
url http://www.hydrol-earth-syst-sci.net/16/1287/2012/hess-16-1287-2012.pdf
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