Hydrologic post-processing of MOPEX streamflow simulations

Journal of Hydrology

Volumn 508, Issue , 2014, Pages 147-156

  Ye, Aizhong ^a   Duan, Qingyun ^a   Yuan, Xing ^b   Wood, Eric F ^b   Schaake, John ^c  

^a BEIJING NORMAL UNIVERSITY   (China)

^b Princeton University   (United States)

^c Consultant ^*  (United States)

Author keywords

Calibration; Hydrologic model; MOPEX; Post processor

Indexed keywords

CALIBRATION; DATA PROCESSING; FORECASTING; MATHEMATICAL MODELS; STREAM FLOW;

HYDROCLIMATIC CONDITIONS; HYDROLOGIC MODELING; INITIAL AND BOUNDARY CONDITIONS; MODEL PARAMETER ESTIMATION; MOPEX; PARAMETRIC UNCERTAINTIES; POST-PROCESSOR; PREDICTIVE DISTRIBUTIONS;

COMPUTER SIMULATION;

CALIBRATION; DATA ASSIMILATION; FLOW MODELING; HYDROLOGICAL MODELING; STREAMFLOW;

UNITED STATES;

EID: 84888116303     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.10.055     Document Type: Article

References (31)

1. Andreadis K.M., Lettenmaier D.P. Assimilating remotely sensed snow observations into a macroscale hydrology model. Advances in Water Resources 2006, 29:872-886.
2. Biondi D., De Luca D.L. Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting. Journal of Hydrology 2013, 479:51-63.
3. Bogner K., Kalas M. Error-correction methods and evaluation of an ensemble based hydrological forecasting system for the Upper Danube catchment. Atmospheric Science Letters 2008, 9:95-102.
4. Cherubini T., Ghelli A., Lalaurette F. Verification of precipitation forecasts over the alpine region using a high-density observing network. Weather and Forecasting 2002, 17:238-249.
5. Clark M.P., Slater A.G. Probabilistic quantitative precipitation estimation in complex terrain. Journal of Hydrometeorology 2006, 7:3-22.
6. Coccia G., Todini E. Recent developments in predictive uncertainty assessment based on the model conditional processor approach. Hydrology and Earth System Sciences 2011, 15:3253-3274.
7. Duan Q., Sorooshian S., Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research 1992, 28:1015-1031.
8. Duan Q., Sorooshian S., Gupta V.K. Optimal use of the SCE-UA global optimization method for calibrating watershed models. Journal of Hydrology 1994, 158:265-284.
9. Duan Q., Schaake J., Andréassian V., 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, 320:3-17.
10. Glahn B., Peroutka M., Wiedenfeld J., et al. MOS uncertainty estimates in an ensemble framework. Monthly Weather Review 2008, 137:246-268.
11. Krzysztofowicz R., Herr H.D. Hydrologic uncertainty processor for probabilistic river stage forecasting: precipitation-dependent model. Journal of Hydrology 2001, 249:46-68.
12. Krzysztofowicz R., Kelly K.S. Hydrologic uncertainty processor for probabilistic river stage forecasting. Water Resources Research 2000, 36:3265-3277.
13. Krzysztofowicz R., Maranzano C.J. Hydrologic uncertainty processor for probabilistic stage transition forecasting. Journal of Hydrology 2004, 293:57-73.
14. Laio F., Tamea S. Verification tools for probabilistic forecasts of continuous hydrological variables. Hydrology and Earth System Sciences 2007, 11:1267-1277.
15. Montanari A., Brath A. A stochastic approach for assessing the uncertainty of rainfall-runoff simulations. Water Resources Research 2004, 40:W01106.
16. Montanari A., Grossi G. Estimating the uncertainty of hydrological forecasts: a statistical approach. Water Resources Research 2008, 44:W00B8.
17. Renard B., Kavetski D., Kuczera G., Thyer M., Franks S.W. Understanding predictive uncertainty in hydrologic modeling: the challenge of identifying input and structural errors. Water Resources Research 2010, 46:W05521.
18. Schaake J., Demargne J., Hartman R., et al. Precipitation and temperature ensemble forecasts from single-value forecasts. Hydrology and Earth System Sciences Discussions Discussions 2007, 4:655-717.
19. Seo D.J., Perica S., Welles E., Schaake J.C. Simulation of precipitation fields from probabilistic quantitative precipitation forecast. Journal of Hydrology 2000, 239:203-229.
20. Seo D.-J., Herr H.D., Schaake J.C. A statistical post-processor for accounting of hydrologic uncertainty in short-range ensemble streamflow prediction. Hydrology and Earth System Sciences Discussions Discussions 2006, 3:1987-2035.
21. Shi X., Wood A.W., Lettenmaier D.P. How essential is hydrologic model calibration to seasonal streamflow forecasting?. Journal of Hydrometeorology 2008, 9:1350-1363.
22. Slater A.G., Clark M.P. Snow data assimilation via an ensemble kalman filter. Journal of Hydrometeorology 2006, 7:478-493.
23. Thyer M., Renard B., Kavetski D., Kuczera G., Franks SW., Srikanthan S. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: a case study using Bayesian total error analysis. Water Resources Research 2009, 45:W00B14. http://dx.doi.org/10.1029/2008wr006825.
24. Todini E. A model conditional processor to assess predictive uncertainty in flood forecasting. International Journal of River Basin Management 2008, 6:123-137.
25. Weerts A.H., Winsemius H.C., Verkade J.S. Estimation of predictive hydrological uncertainty using quantile regression: examples from the national flood forecasting system (England and Wales). Hydrology and Earth System Sciences 2011, 15:255-265.
26. Wilks D.S. Statistical Methods in the Atmospheric Sciences 2011, Academic Press. third ed.
27. Wood A.W., Schaake J.C. Correcting errors in streamflow forecast ensemble mean and spread. Journal of Hydrometeorology 2008, 9:132-148.
28. Xie P., Chen M., Yang S., et al. A gauge-based analysis of daily precipitation over East Asia. Journal of Hydrometeorology 2007, 8:607-626.
29. Yuan X., Wood E.F. Downscaling precipitation or bias-correcting streamflow? Some implications for coupled general circulation model (CGCM)-based ensemble seasonal hydrologic forecast. Water Resources Research 2012, 48:W12519. 10.1029/2012 WR012256.
30. Zhao L., Duan Q., Schaake J., Ye A., Xia J. A hydrologic post-processor for ensemble streamflow predictions. Advances in Geosciences 2011, 29:51-59.
31. Zhou T., Yu R., Chen H., Dai A., Pan Y. Summer precipitation frequency, intensity, and diurnal cycle over China: a comparison of satellite data with rain gauge observations. Journal of Climate 2008, 21:3997-4010.