A simple method of bias correction for GCM derived streamflow at catchment scale

Author:

Islam Syed Ataharul1ORCID,Anwar A. H. M. Faisal1ORCID,Bari Mohammed2ORCID

Affiliation:

1. Department of Civil Engineering, Curtin University, Perth, Australia

2. Bureau of Meteorology, West Perth, WA, Australia

Publisher

Informa UK Limited

Subject

Water Science and Technology

Reference63 articles.

1. Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics

2. Anwar, A.H.M., et al., 2011. The effect of climate change on stream flow reduction in Murray-Hotham river catchment, Western Australia. IWA water convention conference-sustainable water solutions for a changing urban environment, 4–8 July. Singapore: Singapore International Water Week.

3. Hydrologic uncertainties in climate change from IPCC AR4 GCM simulations of the Chungju Basin, Korea

4. Bari, M.A., Amirthanathan, G.E., and Timbal, B. 2010 Climate change and long term water availability in South-Western Australia - an experimental projection. Climate change 2010: practical responses to climate change national conference, 29–1 September–October. Melbourne, Australia. Available from: https://search.informit.com.au/documentSummary;dn=769270460134136;res=IELENG.

5. Bari, M.A., Shakya, D.M., and Owens, M., 2009. LUCICAT Live – A modelling framework for predicting catchment management options, In: R.S. Anderssen, R.D. Braddock, and L.T.H. Newham (eds.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, July , 3457-3463. https://mssanz.org.au/modsim09/I8/bari.pdf

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