A dual-pass error-correction technique for forecasting streamflow

Journal of Hydrology

Volumn 405, Issue 3-4, 2011, Pages 367-381

  Pagano, T C ^a   Wang, Q J ^a   Hapuarachchi, P ^a   Robertson, D ^a  

^a CSIRO   (Australia)

Author keywords

Autoregressive model; Data assimilation; Forecast updating; Non stationarity; Time series model

Indexed keywords

AUTO REGRESSIVE MODELS; DATA ASSIMILATION; FORECAST UPDATING; NON-STATIONARITIES; TIME SERIES MODELS;

CATCHMENTS; DATA PROCESSING; ERRORS; MATHEMATICAL MODELS; RUNOFF; SENSITIVITY ANALYSIS; STREAM FLOW;

FORECASTING;

CATCHMENT; CORRECTION; DATA SET; ERROR ANALYSIS; FORECASTING METHOD; HYDROLOGICAL MODELING; IDENTIFICATION METHOD; NUMERICAL MODEL; RUNOFF; SENSITIVITY ANALYSIS; STREAMFLOW; TIME SERIES ANALYSIS;

AUSTRALIA; UNITED STATES;

EID: 79960398659     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.05.036     Document Type: Article

References (37)

1. Abebe A.J., Price R.K. Managing uncertainty in hydrological models using complementary models. Hydrological Sciences Journal 2003, 48(5):679-692.
2. Abrahart R.J., Heppenstall A.J., See L.M. Timing error correction procedure applied to neural network rainfall-runoff modelling. Hydrological Sciences Journal 2007, 52(3):414-431.
3. Ahsan M., O'Connor K.M. A reappraisal of the Kalman filtering technique, as applied in river flow forecasting. Journal of Hydrology 1994, 161(1-4):197-226.
4. Anctil F., Perrin C., Andreassian V. Ann output updating of lumped conceptual rainfall/runoff forecasting models. Journal of the American Water Resources Association 2003, 39(5):1269-1279.
5. Andreassian, V., Hall, A., Chahinian, N. and Schaake, J., 2006. Large sample basin experiments for hydrological model parameterization: results of the model parameter experiment (MOPEX). IAHS Publication number 307, 346 pp.
6. Andreassian V., Perrin C., Parent E., Bardossy A. The court of miracles of hydrology: can failure stories contribute to hydrological science?. Hydrological Sciences Journal 2010, 55(6):849-856.
7. Boughton W. Calibrations of a daily rainfall-runoff model with poor quality data. Environmental Modelling & Software 2006, 21(8):1114-1128.
8. Broersen, P., Weerts, A., 2005. Automatic error correction of rainfall-runoff models in flood forecasting systems. In: Instrumentation and measurement technology conference, Ottowa, Canada, pp. 963-968.
9. Chiew F.H.S. Estimation of rainfall elasticity of streamflow in Australia. Hydrological Sciences Journal 2006, 51(4):613-625.
10. Clark M.P., et al. Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model. Advances in Water Resources 2008, 31(10):1309-1324.
11. Duan Q., et al. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops. Journal of Hydrology 2006, 320(1-2):3-17.
12. Duan Q., Sorooshian S., Gupta V.K. Optimal use of the SCE-UA global optimization method for calibrating watershed models. Journal of Hydrology 1994, 158(3-4):265-284.
13. Goswami M., O'Connor K.M., Bhattarai K.P., Shamseldin A.Y. Assessing the performance of eight real-time updating models and procedures for the Brosna River. Hydrology and Earth System Sciences 2005, 9(4):394-411.
14. Hashino T., Bradley A., Schwartz S. Evaluation of bias-correction methods for ensemble streamflow volume forecasts. Hydrology and Earth System Sciences Discussions 2006, 3:561-594.
15. Jones D., Wang W., Fawcett R. High-quality spatial climate data-sets for Australia. Australian Meteorological and Oceanographic Journal 2009, 58:233-248.
16. Klemes V. Operational testing of hydrological simulation models. Hydrological Sciences Journal 1986, 31(1):13-24.
17. Le Moine N., Andreassian V., Perrin C., Michel C. How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments. Water Resources Research 2007, 43.
18. Madsen H., Skotner C. Adaptive state updating in real-time river flow forecasting-a combined filtering and error forecasting procedure. Journal of Hydrology 2005, 308(1-4):1-11.
19. Milly P.C.D., Dunne K.A. Macroscale water fluxes 2. Water and energy supply control of their interannual variability. Water Resources Research 2002, 38(10):1206.
20. Moore R.J. The PDM rainfall-runoff model. Hydrology and Earth System Sciences 2007, 11(1):483-499.
21. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models part I - a discussion of principles. Journal of Hydrology 1970, 10(3):282-290.
22. Pagano, T.C., Hapuarachchi, H.A.P., Wang, Q.J., 2010. Continuous rainfall-runoff model comparison and short-term daily streamflow forecast skill evaluation, CSIRO Water for a Healthy Country National Research Flagship, Melbourne, VIC, Australia.
23. Peel, M.C., Chiew, F.H., Western, A., McMahon, T.A., 2000. Extension of unimpaired monthly streamflow data and regionalisation of parameter values to estimate streamflow in ungauged catchments, Centre for Environmental Applied Hydrology, University of Melbourne, Melbourne, VIC, Australia.
24. Perrin C., Michel C., Andréassian V. Improvement of a parsimonious model for streamflow simulation. Journal of Hydrology 2003, 279(1-4):275-289.
25. Petrone K.C., Hughes J.D., Van Niel T.G., Silberstein R.P. Streamflow decline in southwestern Australia, 1950-2008. Geophysical Research Letters 2010, 37(11):L11401.
26. Queiroga, Y., Naghettini, M., Nascimento, N., 2004. Evaluation of a short-term forecasting method based on assimilation of rainfall-runoff simulation errors. In: Hydrology: Science and practice for the 21st Century. British Hydrological Society Conference, Imperial College London, UK, pp. 475-483.
27. Refsgaard J.C. Validation and intercomparison of different updating procedures for real-time forecasting. Nordic Hydrology 1997, 28(2):65-84.
28. Refsgaard J.C., Knudsen J. Operational validation and intercomparison of different types of hydrological models. Water Resources Research 1996, 32(7):2189-2202.
29. Rungo, M., Refsgaard, J.C. and Havno, K., 1989. Improvement of the updating routine in the MIKE 11 Modelling System for real-time flood forecasting, HYDROCOMP'89, Dubrovnik, Yugoslavia.
30. Shamseldin A.Y., O'Connor K.M. A non-linear neural network technique for updating river flow forecasts. Hydrology and Earth System Sciences 2001, 5(4):577-597.
31. Shi X., Wood A.W., Lettenmaier D.P. How Essential is Hydrologic Model Calibration to Seasonal Streamflow Forecasting?. Journal of Hydrometeorology 2008, 9(6):1350-1363.
32. Slack, J.R., Lumb, A.M., Landwehr, J.M., 1993. Hydro-climatic data network (HCDN): streamflow data set. USGS Water-Resources Investigations Report 93-4076.
33. Vogel R.M., Sankarasubramanian A. Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990 2005, Oak Ridge National Laboratory Distributed Active Archive Center.
34. Wilks D.S. Statistical Methods in the Atmospheric Sciences: An Introduction 2006, Academic Press, San Diego, California, USA.
35. WMO, 1992. Simulated real-time intercomparison of hydrological models. Op. Hydrol. Rep. World Meteorological Organisation, Geneva.
36. Zealand C.M., Burn D.H., Simonovic S.P. Short term streamflow forecasting using artificial neural networks. Journal of Hydrology 1999, 214:32-48.
37. Zhang L., Potter N., Hickel K., Zhang Y., Shao Q. Water balance modeling over variable time scales based on the Budyko framework - model development and testing. Journal of Hydrology 2008, 360(1-4):117-131.