Non-stationary hydrological model parameters: A framework based on SOM-B

Hydrological Processes

Volumn 29, Issue 14, 2015, Pages 3145-3161

  Wallner, Markus ^a   Haberlandt, Uwe ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Hydrological modelling; Non stationary parameter; Self Organizing Map

Indexed keywords

CATCHMENTS; CONFORMAL MAPPING; ELECTRIC ARC WELDING; PARAMETER ESTIMATION; SELF ORGANIZING MAPS;

CLIMATE CHARACTERISTICS; HYDROLOGICAL MODELING; HYDROLOGICAL MODELLING; HYDROLOGICAL MODELS; NON-STATIONARY MODEL; NONSTATIONARY; OPTIMIZATION APPROACH; PARAMETER UNCERTAINTY;

CLIMATE MODELS;

ALGORITHM; BOUNDARY CONDITION; HYDROLOGICAL MODELING; OPTIMIZATION; PARAMETERIZATION; SELF ORGANIZATION;

GERMANY;

EID: 84947867933     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.10430     Document Type: Article

References (36)

1. Abu-Mostafa YS, Magdon-Ismail M, Lin H. 2012. Learning from Data. AMLBook.
2. Adeloye AJ, Rustum R. 2012. Self-organising map rainfall-runoff multivariate modelling for runoff reconstruction in inadequately gauged basins. Hydrology Research 43(5): 603-617. DOI: 10.2166/nh.2012.017.
3. Bárdossy A, Das T. 2008. Influence of rainfall observation network on model calibration and application. Hydrology and Earth System Sciences 12(1): 77-89. DOI: 10.5194/hess-12-77-2008.
4. Beven K, Binley A. 1992. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 6(3): 279-298. DOI: 10.1002/hyp.3360060305.
5. Brigode P, Oudin L, Perrin C. 2013. Hydrological model parameter instability: a source of additional uncertainty in estimating the hydrological impacts of climate change? Journal of Hydrology 476(0): 410-425. DOI: 10.1016/j.jhydrol.2012.11.012.
6. Choi HT, Beven K. 2007. Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework. Journal of Hydrology 332(3-4): 316-336. DOI: 10.1016/j.jhydrol.2006.07.012.
7. Chow VT, Maidment DR, Mays LW. 1988. Applied Hydrology. McGraw-Hill: New York.
8. Coron L, Andréassian V, Perrin C, Lerat J, Vaze J, Bourqui M, Hendrickx F. 2012. Crash testing hydrological models in contrasted climate conditions: an experiment on 216 Australian catchments. Water Resources Research 48(5): W05552. DOI: 10.1029/2011wr011721.
9. DVWK. 1996. Ermittlung der Verdunstung von Land- und Wasserflächen. In DVWK-Merkblatt 238/1996, ATV-DVWK-Regelwerk (ed). Deutscher Verband für Wasserwirtschaft und Kulturbau e.V. (DVWK): Bonn.
10. Ertel W. 2009. Grundkurs Künstliche Intelligenz - Eine praxisorientierte Einführung, 2. Vieweg+Teubner: Wiesbaden.
11. Fernandez W, Vogel RM, Sankarasubramanian A. 2000. Regional calibration of a watershed model. Hydrological Sciences Journal 45(5): 689-707. DOI: 10.1080/02626660009492371.
12. He Y, Bárdossy A, Zehe E. 2011. A review of regionalisation for continuous streamflow simulation. Hydrology and Earth System Sciences 15: 3539-3553. DOI: 10.5194/hess-15-3539-2011.
13. Herbst M, Casper MC. 2008. Towards model evaluation and identification using Self-Organizing Maps. Hydrology and Earth System Sciences 12(2). DOI: 10.5194/hess-12-657-2008.
14. Hundecha Y, Bárdossy A. 2004. Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. Journal of Hydrology 292(1-4): 287-295. DOI: 10.1016/j.jhydrol.2004.01.002.
15. Kalteh AM, Berndtsson R. 2007. Interpolating monthly precipitation by self-organizing map (SOM) and multilayer perception (MLP). Hydrological Sciences Journal 52(2): 305-317. DOI: 10.1623/hysj.52.2.305.
16. Kayastha N, Ye J, Fenicia F, Kuzmin V, Solomatine DP. 2013. Fuzzy committees of specialized rainfall-runoff models: further enhancements and tests. Hydrology and Earth System Sciences 17(11): 4441-4451. DOI: 10.5194/hess-17-4441-2013.
17. Kirkpatrick S, Gelatt CD, Vecchi MP. 1983. Optimization by Simulated Annealing. Science 220(4598): 671-680. DOI: 10.1126/science.220.4598.671.
18. Klemeš V. 1986. Operational testing of hydrological simulation models. Hydrological Sciences Journal 31(1): 13-24. DOI: 10.1080/02626668609491024.
19. Kohonen T. 1982. Analysis of a simple self-organizing process. Biological Cybernetics 44(2): 135-140. DOI: 10.1007/bf00317973.
20. López García H, Machón González I. 2004. Self-organizing map and clustering for wastewater treatment monitoring. Engineering Applications of Artificial Intelligence 17(3): 215-225. DOI: 10.1016/j.engappai.2004.03.004.
21. Luo J, Wang E, Shen S, Zheng H, Zhang Y. 2012. Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity. Hydrological Processes 26(26): 3953-3961. DOI: 10.1002/hyp.8420.
22. Merz R, Parajka J, Blöschl G. 2011. Time stability of catchment model parameters: implications for climate impact analyses. Water Resources Research 47: W02531, 1-17. DOI: 10.1029/2010WR009505.
23. Milly PCD, Betancourt J, Falkenmark M, Hirsch RM, Kundzewicz ZW, Lettenmaier DP, Stouffer RJ. 2008. Stationarity is dead: whither water management? Science 319(5863): 573-574. DOI: 10.1126/science.1151915.
24. Nash JE, Sutcliffe IV. 1970. River flow forecasting through conceptual models - part i - a discussion of principles. Journal of Hydrology 10: 282-290. DOI: 10.1016/0022-1694(70)90255-6.
25. O'Loughlin F, Bruen M, Wagener T. 2013. Parameter sensitivity of a watershed-scale flood forecasting model as a function of modelling time-step. Hydrology Research 44(2): 334-350. DOI: 10.2166/nh.2012.157.
26. Oudin L, Andréassian V, Mathevet T, Perrin C, Michel C. 2006. Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations. Water Resources Research 42(7): W07410. DOI: 10.1029/2005wr004636.
27. Rivera D, Lillo M, Uvo C, Billib M, Arumí J. 2012. Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature. Theoretical and Applied Climatology 107(1-2): 1-13. DOI: 10.1007/s00704-011-0453-5.
28. Samaniego L, Kumar R, Attinger S. 2010. Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resources Research 46(5): W05523. DOI: 10.1029/2008wr007327.
29. SMHI. 2008. Integrated Hydrological Modelling System - Manual Version 6.0. Swedish Meteorological and Hydrological Institute.
30. Vaze J, Post DA, Chiew FHS, Perraud JM, Viney NR, Teng J. 2010. Climate non-stationarity - validity of calibrated rainfall-runoff models for use in climate change studies. Journal of Hydrology 394(3-4): 447-457. DOI: 10.1016/j.jhydrol.2010.09.018.
31. Vesanto J, Himberg J, Alhoniemi E, Parhankangas J. 2000. SOM Toolbox for Matlab 5. Helsinki University of Technology: Espoo.
32. de Vos NJ, Rientjes THM, Gupta HV. 2010. Diagnostic evaluation of conceptual rainfall-runoff models using temporal clustering. Hydrological Processes 24(20): 2840-2850. DOI: 10.1002/hyp.7698.
33. Wagener T, Wheater HS. 2006. Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty. Journal of Hydrology 320(1-2): 132-154. DOI: 10.1016/j.jhydrol.2005.07.015.
34. Wagener T, McIntyre N, Lees MJ, Wheater HS, Gupta HV. 2003. Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis. Hydrological Processes 17(2): 455-476. DOI: 10.1002/hyp.1135.
35. Wallner M, Haberlandt U, Dietrich J. 2012. Evaluation of different calibration strategies for large scale continuous hydrological modelling. Advances in Geosciences 31: 67-74. DOI: 10.5194/adgeo-31-67-2012.
36. Wallner M, Haberlandt U, Dietrich J. 2013. A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps. Journal of Hydrology 494(0): 59-71. DOI: 10.1016/j.jhydrol.2013.04.022.