Bourgin F, Andréassian V, Perrin C and Oudin L (2015) Transferring global uncertainty estimates from gauged to ungauged catchments. Hydrol. Earth Syst. Sci., 19, 2535-2546 http://dx.doi.org/10.5194/hess-19-2535-2015.
Cui T, Gilfedder M, Pickett T, Rassam D, Viney N, Crosbie R, Peeters L, Raiber M, and Wang B (2016) Water balance assessment for the Clarence-Moreton bioregion. Product 2.5 from the Clarence-Moreton Bioregional Assessment. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/CLM/CLM/2.5.
Jones DA, Wang W and Fawcett R (2009) High-quality spatial climate data-sets for Australia. Australian Meteorological and Oceanographic Journal 58, 233–248.
Peeters L, Pagendam D, Gao L, Hosack G, Jiang W and Henderson B (2016) Propagating uncertainty through models. Submethodology M09 from the Bioregional Assessment Technical Programme. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/submethodology/M09.
Plischke E, Borgonovo E and Smith CL (2013) Global sensitivity measures from given data European Journal of Operational Research, 226, 536-550.
Pushpalatha R, Perrin C, Moine NL and Andréassian V (2012) A review of efficiency criteria suitable for evaluating low-flow simulations Journal of Hydrology, 420-421, 171-182 http://dx.doi.org/10.1016/j.jhydrol.2011.11.055.
Rassam D, Raiber M, McJannet D, Janardhanan S, Murray J, Gilfedder M, Cui T, Matveev V, Doody T, Hodgen M and Ahmad ME (2014) Context statement for the Clarence-Moreton bioregion. Product 1.1 from the Clarence-Moreton Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. Viewed 01 August 2016, http://data.bioregionalassessments.gov.au/product/CLM/CLM/1.1.
Santer TJ, Williams BJ and Notz WI (2003) The design and analysis of computer experiments. Springer, New York.
Vaze J, Viney NR, Stenson MP, Renzullo LJ, Van Dijk AIJM, Dutta D, Crosbie R, Lerat J, Penton D, Vleeshouwer J, Peeters LJM, Teng J, Kim S, Hughes J, Dawes W, Zhang Y, Leighton B, Perraud JM, Joehnk JYA, Wang B, Frost A, Elmahdi A, Smith A and Daamen C (2013) The Australian Water Resource Assessment Modelling System (AWRA). MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, 3015–3021.
Viney N, Vaze J, Crosbie R, Wang B, Dawes W and Frost A (2015) AWRA-L v4.5: technical description of model algorithms and inputs. CSIRO, Australia, 75pp.
Viney N, Perraud J, Vaze J, Chiew F, Post D and Yang A (2009) The usefulness of bias constraints in model calibration for regionalisation to ungauged catchments. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, 13–17.
Willmott CJ (1981) On the validation of models. Physical Geography 2, 184–194.
Product Finalisation date
- 126.96.36.199 Methods
- 188.8.131.52 Review of existing models
- 184.108.40.206 Model development
- 220.127.116.11 Calibration
- 18.104.22.168 Uncertainty
- 22.214.171.124 Prediction
- 126.96.36.199.1 Annual flow (AF)
- 188.8.131.52.2 Interquartile range (IQR)
- 184.108.40.206.3 Daily streamflow at the 99th percentile (P99)
- 220.127.116.11.4 Flood (high-flow) days (FD)
- 18.104.22.168.5 Daily streamflow at the 1st percentile (P01)
- 22.214.171.124.6 Low-flow days (LFD)
- 126.96.36.199.7 Low-flow spells (LFS)
- 188.8.131.52.8 Longest low-flow spell (LLFS)
- 184.108.40.206.9 Zero-flow days (ZFD)
- 220.127.116.11.10 Summary and conclusions
- Contributors to the Technical Programme
- About this technical product