Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia

The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015

Volumn , Issue , 2015, Pages 1396-1403

  Lerat, J ^a   Pickett Heaps, C A ^a   Shin, D ^a   Zhou, S ^a   Feikema, P ^a   Khan, U ^a   Laugesen, R ^a   Tuteja, N K ^a   Kuczera, G ^b   Thyer, M ^c   Kavetski, D ^c  

^a BUREAU OF METEOROLOGY   (Australia)

^b UNIVERSITY OF NEWCASTLE   (Australia)

^c UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; CLIMATE MODELS; RAIN; RUNOFF; STATISTICAL MECHANICS; WEATHER FORECASTING;

BUREAU OF METEOROLOGIES; COMPUTING PERFORMANCE; FORECAST PERFORMANCE; HYDROLOGICAL MODELING; OCEAN-ATMOSPHERE MODELS; PREDICTIVE UNCERTAINTY; STATISTICAL MODELING; STREAMFLOW FORECAST;

STREAM FLOW;

EID: 84974715420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Charles, A., Timbal, B., Fernandez, E., and Hendon, H. (2013), Analog Downscaling of Seasonal Rainfall Forecasts in the Murray Darling Basin, Monthly Weather Review, 141(3), 1099-1117.
2. Evin, G., Thyer, M., Kavetski, D., McInerney, D., & Kuczera, G. (2014). Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity. Water Resources Research, 50(3), 2350-2375.
3. Hudson, D., Marshall, A. G., Yin, Y., Alves, O., and Hendon, H. H. (2013), Improving Intraseasonal Prediction with a New Ensemble Generation Strategy, Monthly Weather Review, 141(12), 4429-4449.
4. Kavetski, D., Kuczera, G., and Franks, S. W. (2006), Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resources Research, 42(3), W03407.
5. Jayasuriya, D., Tuteja, N. K., Perkins, J. (2015). Seamless Water Forecasting for Australia - vision, progress-to-date and challenges. Hydrology and Water Resources Symposium (HWRS) 2015, Hobart, Australia.
6. Laio, F. and Tamea, S. (2007). Verification tools for probabilistic forecasts of continuous hydrological variables. Hydrology and Earth System Sciences Discussions, 11(4), 1267-1277.
7. Perrin, C., Michel, C., and Andréassian, V. (2003), Improvement of a parsimonious model for streamflow simulation, Journal of Hydrology, 279, 275-289
8. Raupach, M.R., Briggs, P. R., Haverd, V., King, E. A., Paget, M., Trudinger, C. M. (2009), Australian Water Availability Project (AWAP): CSIRO Marine and Atmospheric Research Component: Final Report for Phase 3. CAWCR Technical Report No. 013. 67 pp.
9. Schepen, A., Q. J. Wang, and David Robertson (2012). Evidence for using lagged climate indices to forecast Australian seasonal rainfall. Journal of Climate 25.4: 1230-1246.
10. Thyer, M., Renard, B., Kavetski, D., Kuczera, G., Franks, S. W., & Srikanthan, S. (2009). Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis. Water Resources Research, 45(12).
11. Tuteja, N. K., Shin, D., Laugesen, R., Shao, Q., Wang, E., Kuczera, G., Thyer, M., Kavetski, D., Evin, G., Li, M., Zheng, H., Macdonald, A., Khan, U., Le, B. and Chia, T.(2011). Experimental evaluation of the dynamic Seasonal Streamflow Forecasting approach in Australian water supply catchments. Australia Water Association.
12. Tuteja, N.K. (2015) The Case for Extended Hydrologic Prediction Services for Improved Water Resource Management. WMO Bulletin 64(1).
13. Wang, Q. J., and Robertson, D. E. (2011), Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences, Water Resources Research, 47, W02546.
14. Wang, Q. J., Shrestha, D. L., Robertson, D. E., and Pokhrel, P. (2012). A log-sinh transformation for data normalization and variance stabilization. Water Resources Research, 48(5).
15. Wang, Q. J., Robertson, D. E., Bennett, J. C., Schepen, A., Li, M. Song, Y., Tuteja, N. K., Shin, D. H., Zhou, S., Lerat, J., Feikema, P. M. (2015). Scientific Progress on Seasonal Streamflow Forecasting. Hydrology and Water Resources Symposium (HWRS) 2015, Hobart, Australia.