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Volumn 29, Issue 11, 2015, Pages 2463-2477

Meta-analysis of flow modeling performances-to build a matching system between catchment complexity and model types

Author keywords

Comparative assessment; Hydrological model selection; Meta analysis; River flow modelling

Indexed keywords

CATCHMENTS; DECISION MAKING; RUNOFF; STREAM FLOW; WATER MANAGEMENT;

EID: 84929484588     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.10371     Document Type: Article
Times cited : (20)

References (82)
  • 2
    • 77955276087 scopus 로고    scopus 로고
    • Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
    • Adamowski J, Sun K. 2010. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. Journal of Hydrology 390(1): 85-91.
    • (2010) Journal of Hydrology , vol.390 , Issue.1 , pp. 85-91
    • Adamowski, J.1    Sun, K.2
  • 3
    • 26844472840 scopus 로고    scopus 로고
    • Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California
    • Ahearn DS, Sheibley RW, Dahlgren RA, Anderson M, Johnson J, Tate KW. 2005. Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. Journal of Hydrology 313(3): 234-247.
    • (2005) Journal of Hydrology , vol.313 , Issue.3 , pp. 234-247
    • Ahearn, D.S.1    Sheibley, R.W.2    Dahlgren, R.A.3    Anderson, M.4    Johnson, J.5    Tate, K.W.6
  • 4
    • 0029659799 scopus 로고    scopus 로고
    • Application of a generalized TOPMODEL to the small Ringelbach catchment, Vosges, France
    • Ambroise B, Freer J, Beven K. 1996. Application of a generalized TOPMODEL to the small Ringelbach catchment, Vosges, France. Water Resources Research 32(7): 2147-2159.
    • (1996) Water Resources Research , vol.32 , Issue.7 , pp. 2147-2159
    • Ambroise, B.1    Freer, J.2    Beven, K.3
  • 5
    • 0022187246 scopus 로고
    • Anderson M. G., Burt T. P. (eds). John Wiley & Sons Ltd: Chichester, UK;
    • Anderson MG, Burt TP. 1985. Hydrological forecasting, Anderson M. G., Burt T. P. (eds). John Wiley & Sons Ltd: Chichester, UK; 1-13.
    • (1985) Hydrological forecasting , pp. 1-13
    • Anderson, M.G.1    Burt, T.P.2
  • 6
    • 0026652402 scopus 로고
    • A comparison of results of meta-analyses of randomized control trials and recommendations of clinical experts. Treatments for myocardial infarction
    • Antman EM, Lau J, Kupelnick B, Mosteller F, Chalmers TC. 1992. A comparison of results of meta-analyses of randomized control trials and recommendations of clinical experts. Treatments for myocardial infarction. JAMA 268(2): 240-248.
    • (1992) JAMA , vol.268 , Issue.2 , pp. 240-248
    • Antman, E.M.1    Lau, J.2    Kupelnick, B.3    Mosteller, F.4    Chalmers, T.C.5
  • 7
    • 20944440113 scopus 로고    scopus 로고
    • GLC2000: a new approach to global land cover mapping from Earth observation data
    • Bartholomé E, Belward A. 2005. GLC2000: a new approach to global land cover mapping from Earth observation data. International Journal of Remote Sensing 26(9): 1959-1977.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.9 , pp. 1959-1977
    • Bartholomé, E.1    Belward, A.2
  • 8
    • 84929483772 scopus 로고    scopus 로고
    • Comparison of rainfall-runoff models for flood forecasting. Part 2: Calibration and evaluation of models.
    • Bell V, Carrington D, Moore R. 2001. Comparison of rainfall-runoff models for flood forecasting. Part 2: Calibration and evaluation of models.
    • (2001)
    • Bell, V.1    Carrington, D.2    Moore, R.3
  • 9
    • 84987493206 scopus 로고
    • Editorial: Future of distributed modelling
    • Beven K. 1992. Editorial: Future of distributed modelling. Hydrological Processes 6(3): 253-254.
    • (1992) Hydrological Processes , vol.6 , Issue.3 , pp. 253-254
    • Beven, K.1
  • 10
    • 0037083332 scopus 로고    scopus 로고
    • Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system
    • Beven K. 2002. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system. Hydrological Processes 16(2): 189-206.
    • (2002) Hydrological Processes , vol.16 , Issue.2 , pp. 189-206
    • Beven, K.1
  • 11
    • 34548846375 scopus 로고    scopus 로고
    • Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis
    • Bork EW, Su JG. 2007. Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis. Remote Sensing of Environment 111(1): 11-24.
    • (2007) Remote Sensing of Environment , vol.111 , Issue.1 , pp. 11-24
    • Bork, E.W.1    Su, J.G.2
  • 12
    • 78650626104 scopus 로고    scopus 로고
    • Towards a hydrologically motivated soil texture classification
    • Bormann H. 2010. Towards a hydrologically motivated soil texture classification. Geoderma 157(3): 142-153.
    • (2010) Geoderma , vol.157 , Issue.3 , pp. 142-153
    • Bormann, H.1
  • 13
    • 27844494854 scopus 로고    scopus 로고
    • Effects of spatial data resolution on the calculation of regional water balances. IAHS Publication(International Association of Hydrological Sciences)
    • Bormann H, Diekkrueger B, Richter O. 1999. Effects of spatial data resolution on the calculation of regional water balances. IAHS Publication(International Association of Hydrological Sciences)(254); 193-202.
    • (1999) , vol.254 , pp. 193-202
    • Bormann, H.1    Diekkrueger, B.2    Richter, O.3
  • 15
    • 44649120796 scopus 로고    scopus 로고
    • River flow prediction through rainfall-runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium
    • Cabus P. 2008. River flow prediction through rainfall-runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium. Agricultural Water Management 95(7): 859-868.
    • (2008) Agricultural Water Management , vol.95 , Issue.7 , pp. 859-868
    • Cabus, P.1
  • 16
    • 0037083334 scopus 로고    scopus 로고
    • Rainfall-runoff modelling of a humid tropical catchment: the TOPMODEL approach
    • Campling P, Gobin A, Beven K, Feyen J. 2002. Rainfall-runoff modelling of a humid tropical catchment: the TOPMODEL approach. Hydrological Processes 16(2): 231-253.
    • (2002) Hydrological Processes , vol.16 , Issue.2 , pp. 231-253
    • Campling, P.1    Gobin, A.2    Beven, K.3    Feyen, J.4
  • 17
    • 33748329510 scopus 로고    scopus 로고
    • Intercomparison of lumped versus distributed hydrologic model ensemble simulations on operational forecast scales
    • Carpenter TM, Georgakakos KP. 2006. Intercomparison of lumped versus distributed hydrologic model ensemble simulations on operational forecast scales. Journal of Hydrology 329(1): 174-185.
    • (2006) Journal of Hydrology , vol.329 , Issue.1 , pp. 174-185
    • Carpenter, T.M.1    Georgakakos, K.P.2
  • 18
    • 0035889660 scopus 로고    scopus 로고
    • On the parametric and NEXRAD-radar sensitivities of a distributed hydrologic model suitable for operational use
    • Carpenter TM, Georgakakos KP, Sperfslagea JA. 2001. On the parametric and NEXRAD-radar sensitivities of a distributed hydrologic model suitable for operational use. Journal of Hydrology 253(1): 169-193.
    • (2001) Journal of Hydrology , vol.253 , Issue.1 , pp. 169-193
    • Carpenter, T.M.1    Georgakakos, K.P.2    Sperfslagea, J.A.3
  • 19
    • 84874250230 scopus 로고    scopus 로고
    • Uncertainty Intercomparison of Different Hydrological Models in Simulating Extreme Flows
    • Chen X, Yang T, Wang X, Xu C-Y, Yu Z. 2013. Uncertainty Intercomparison of Different Hydrological Models in Simulating Extreme Flows. Water resources management 27(5): 1393-1409.
    • (2013) Water resources management , vol.27 , Issue.5 , pp. 1393-1409
    • Chen, X.1    Yang, T.2    Wang, X.3    Xu, C.-Y.4    Yu, Z.5
  • 20
    • 1542351575 scopus 로고    scopus 로고
    • The effects of climate change on the hydrology and water resources of the Colorado River basin
    • Christensen NS, Wood AW, Voisin N, Lettenmaier DP, Palmer RN. 2004. The effects of climate change on the hydrology and water resources of the Colorado River basin. Climatic Change 62(1-3): 337-363.
    • (2004) Climatic Change , vol.62 , Issue.1-3 , pp. 337-363
    • Christensen, N.S.1    Wood, A.W.2    Voisin, N.3    Lettenmaier, D.P.4    Palmer, R.N.5
  • 21
    • 66749103360 scopus 로고    scopus 로고
    • Hydrologic prediction for urban watersheds with the Distributed Hydrology-Soil-Vegetation Model
    • Cuo L, Lettenmaier DP, Mattheussen BV, Storck P, Wiley M. 2008. Hydrologic prediction for urban watersheds with the Distributed Hydrology-Soil-Vegetation Model. Hydrological Processes 22(21): 4205-4213.
    • (2008) Hydrological Processes , vol.22 , Issue.21 , pp. 4205-4213
    • Cuo, L.1    Lettenmaier, D.P.2    Mattheussen, B.V.3    Storck, P.4    Wiley, M.5
  • 23
    • 0017516522 scopus 로고
    • A procedure for the selection of objective functions for hydrologic simulation models
    • Diskin M, Simon E. 1977. A procedure for the selection of objective functions for hydrologic simulation models. Journal of Hydrology 34(1): 129-149.
    • (1977) Journal of Hydrology , vol.34 , Issue.1 , pp. 129-149
    • Diskin, M.1    Simon, E.2
  • 24
    • 0033934949 scopus 로고    scopus 로고
    • Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis
    • Duval S, Tweedie R. 2000. Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis. Biometrics 56(2): 455-463.
    • (2000) Biometrics , vol.56 , Issue.2 , pp. 455-463
    • Duval, S.1    Tweedie, R.2
  • 25
    • 0001956933 scopus 로고    scopus 로고
    • How well does your model fit the data?
    • Hall M. 2001. How well does your model fit the data? Journal of Hydroinformatics 3: 49-55.
    • (2001) Journal of Hydroinformatics , vol.3 , pp. 49-55
    • Hall, M.1
  • 26
    • 70349104098 scopus 로고    scopus 로고
    • Are treelines advancing? A global meta-analysis of treeline response to climate warming
    • Harsch MA, Hulme PE, McGlone MS, Duncan RP. 2009. Are treelines advancing? A global meta-analysis of treeline response to climate warming. Ecology Letters 12(10): 1040-1049.
    • (2009) Ecology Letters , vol.12 , Issue.10 , pp. 1040-1049
    • Harsch, M.A.1    Hulme, P.E.2    McGlone, M.S.3    Duncan, R.P.4
  • 27
    • 84929483773 scopus 로고    scopus 로고
    • Application and comparative analysis of four conceptual hydrological models for upper reach of Heihe river basin
    • He S, Nan Z, Wang S, Wang Y. 2012. Application and comparative analysis of four conceptual hydrological models for upper reach of Heihe river basin. Journal Of China Hydrology 32(3).
    • (2012) Journal Of China Hydrology , vol.32 , Issue.3
    • He, S.1    Nan, Z.2    Wang, S.3    Wang, Y.4
  • 28
    • 59649091168 scopus 로고    scopus 로고
    • Assessing the impacts of land use changes on watershed hydrology using MIKE SHE
    • Im S, Kim H, Kim C, Jang C. 2009. Assessing the impacts of land use changes on watershed hydrology using MIKE SHE. Environmental Geology 57(1): 231-239.
    • (2009) Environmental Geology , vol.57 , Issue.1 , pp. 231-239
    • Im, S.1    Kim, H.2    Kim, C.3    Jang, C.4
  • 29
    • 84929483774 scopus 로고    scopus 로고
    • irstea. Hydrological forecasting models: towards a better anticipation of low water flows? Retrieved 29/07/2014, from Irstea National Research Institute of Science and Technology for Environment and Agriculture
    • irstea. 2014. Hydrological forecasting models: towards a better anticipation of low water flows? Retrieved 29/07/2014, from Irstea National Research Institute of Science and Technology for Environment and Agriculture http://www.irstea.fr/en/all-news/water-department/hydrological-forecasting-models-anticipation-low-water
    • (2014)
  • 30
    • 84929458143 scopus 로고
    • Xinanjiang Model on Bird Creek catchment in USA
    • Khan MH. 1993. Xinanjiang Model on Bird Creek catchment in USA. Pakistan Journal of Agricultural Research 14(4): 373-382.
    • (1993) Pakistan Journal of Agricultural Research , vol.14 , Issue.4 , pp. 373-382
    • Khan, M.H.1
  • 32
    • 33747857358 scopus 로고    scopus 로고
    • A meta-analysis of the technology acceptance model
    • King WR, He J. 2006. A meta-analysis of the technology acceptance model. Information & Management 43(6): 740-755.
    • (2006) Information & Management , vol.43 , Issue.6 , pp. 740-755
    • King, W.R.1    He, J.2
  • 34
    • 2142847337 scopus 로고    scopus 로고
    • Hydrology laboratory research modeling system (HL-RMS) of the US national weather service
    • Koren V, Reed S, Smith M, Zhang Z, Seo D-J. 2004. Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. Journal of Hydrology 291(3): 297-318.
    • (2004) Journal of Hydrology , vol.291 , Issue.3 , pp. 297-318
    • Koren, V.1    Reed, S.2    Smith, M.3    Zhang, Z.4    Seo, D.-J.5
  • 36
    • 65649123113 scopus 로고    scopus 로고
    • Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods
    • Lin G-F, Chen G-R, Huang P-Y, Chou Y-C. 2009. Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods. Journal of Hydrology 372(1): 17-29.
    • (2009) Journal of Hydrology , vol.372 , Issue.1 , pp. 17-29
    • Lin, G.-F.1    Chen, G.-R.2    Huang, P.-Y.3    Chou, Y.-C.4
  • 38
    • 5444260831 scopus 로고    scopus 로고
    • On the need for catchment classification
    • McDonnell JJ, Woods R. 2004. On the need for catchment classification. Journal of Hydrology 299(1): 2-3.
    • (2004) Journal of Hydrology , vol.299 , Issue.1 , pp. 2-3
    • McDonnell, J.J.1    Woods, R.2
  • 39
    • 72149086697 scopus 로고    scopus 로고
    • Scale effects in conceptual hydrological modeling
    • Merz R, Parajka J, Blöschl G. 2009. Scale effects in conceptual hydrological modeling. Water Resources Research 45(9): W09405.
    • (2009) Water Resources Research , vol.45 , Issue.9 , pp. W09405
    • Merz, R.1    Parajka, J.2    Blöschl, G.3
  • 40
    • 79952030057 scopus 로고    scopus 로고
    • Time stability of catchment model parameters: Implications for climate impact analyses
    • Merz R, Parajka J, Blöschl G. 2011. Time stability of catchment model parameters: Implications for climate impact analyses. Water Resources Research 47(2): W02531.
    • (2011) Water Resources Research , vol.47 , Issue.2 , pp. W02531
    • Merz, R.1    Parajka, J.2    Blöschl, G.3
  • 42
    • 84929483775 scopus 로고    scopus 로고
    • Global Soil Texture And Derived Water-Holding Capacities (Webb et al.). Retrieved 29/07/2014
    • NASA. 2000. Global Soil Texture And Derived Water-Holding Capacities (Webb et al.). Retrieved 29/07/2014 http://daac.ornl.gov/SOILS/guides/Webb.html
    • (2000)
  • 43
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models part I-A discussion of principles
    • Nash J, Sutcliffe J. 1970. River flow forecasting through conceptual models part I-A discussion of principles. Journal of Hydrology 10(3): 282-290.
    • (1970) Journal of Hydrology , vol.10 , Issue.3 , pp. 282-290
    • Nash, J.1    Sutcliffe, J.2
  • 44
    • 79955576877 scopus 로고    scopus 로고
    • Climate and catchment controls on the performance of regional flood simulations
    • Nester T, Kirnbauer R, Gutknecht D, Blöschl G. 2011. Climate and catchment controls on the performance of regional flood simulations. Journal of Hydrology 402(3): 340-356.
    • (2011) Journal of Hydrology , vol.402 , Issue.3 , pp. 340-356
    • Nester, T.1    Kirnbauer, R.2    Gutknecht, D.3    Blöschl, G.4
  • 45
    • 84929483776 scopus 로고    scopus 로고
    • River Reference Conditions, Article 5 Characterization Technical Report: Northern Ireland Water Framework Directive.
    • Northern Ireland Water Framework Directive. 2005. River Reference Conditions, Article 5 Characterization Technical Report: Northern Ireland Water Framework Directive.
    • (2005)
  • 47
    • 77952111591 scopus 로고    scopus 로고
    • Calibration of the semi-distributed PDM rainfall-runoff model in the Upper Lee catchment, UK
    • Pechlivanidis I, McIntyre N, Wheater H. 2010. Calibration of the semi-distributed PDM rainfall-runoff model in the Upper Lee catchment, UK. Journal of Hydrology 386(1): 198-209.
    • (2010) Journal of Hydrology , vol.386 , Issue.1 , pp. 198-209
    • Pechlivanidis, I.1    McIntyre, N.2    Wheater, H.3
  • 49
    • 84929483777 scopus 로고    scopus 로고
    • Prediction of Low-Flow Periods by Hydrological Models: Comparison and Evaluation, financed by ONEMA and MEDDE
    • Scientific partners: Irstea, BRGM, Météo France, EDF-DTG, University of Lorraine.
    • PREMHYCE. 2011-2013. Prediction of Low-Flow Periods by Hydrological Models: Comparison and Evaluation, financed by ONEMA and MEDDE. Scientific partners: Irstea, BRGM, Météo France, EDF-DTG, University of Lorraine.
    • (2011)
  • 50
    • 31044455874 scopus 로고    scopus 로고
    • Regionalization of watersheds by hybrid-cluster analysis
    • Ramachandra Rao A, Srinivas V. 2006. Regionalization of watersheds by hybrid-cluster analysis. Journal of Hydrology 318(1): 37-56.
    • (2006) Journal of Hydrology , vol.318 , Issue.1 , pp. 37-56
    • Ramachandra Rao, A.1    Srinivas, V.2
  • 51
    • 4143112490 scopus 로고    scopus 로고
    • Overall distributed model intercomparison project results
    • DMIP Participants
    • Reed S, Koren V, Smith M, Zhang Z, Moreda F, Seo D-J, DMIP Participants. 2004. Overall distributed model intercomparison project results. Journal of Hydrology 298(1): 27-60.
    • (2004) Journal of Hydrology , vol.298 , Issue.1 , pp. 27-60
    • Reed, S.1    Koren, V.2    Smith, M.3    Zhang, Z.4    Moreda, F.5    Seo, D.-J.6
  • 54
    • 35748940942 scopus 로고    scopus 로고
    • Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function
    • Rouhani H, Willems P, Wyseure G, Feyen J. 2007. Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function. Hydrological Processes 21(22): 2998-3008.
    • (2007) Hydrological Processes , vol.21 , Issue.22 , pp. 2998-3008
    • Rouhani, H.1    Willems, P.2    Wyseure, G.3    Feyen, J.4
  • 55
    • 6344278856 scopus 로고    scopus 로고
    • Evaluation of SWAT and HSPF within BASINS program for the upper North Bosque River watershed in central Texas
    • Saleh A, Du B. 2004. Evaluation of SWAT and HSPF within BASINS program for the upper North Bosque River watershed in central Texas. Transactions of the ASAE 47(4): 1039-1049.
    • (2004) Transactions of the ASAE , vol.47 , Issue.4 , pp. 1039-1049
    • Saleh, A.1    Du, B.2
  • 57
    • 80052898006 scopus 로고    scopus 로고
    • Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA
    • Sawicz K, Wagener T, Sivapalan M, Troch P, Carrillo G. 2011. Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA. Hydrology and Earth System Sciences 15(9): 2895-2911.
    • (2011) Hydrology and Earth System Sciences , vol.15 , Issue.9 , pp. 2895-2911
    • Sawicz, K.1    Wagener, T.2    Sivapalan, M.3    Troch, P.4    Carrillo, G.5
  • 59
    • 23744461623 scopus 로고    scopus 로고
    • A conceptual glacio-hydrological model for high mountainous catchments
    • Schaefli B, Hingray B, Niggli M, Musy A. 2005. A conceptual glacio-hydrological model for high mountainous catchments. Hydrology and Earth System Sciences, 9: 95-109, doi: 10.5194/hess-9-95-2005.
    • (2005) Hydrology and Earth System Sciences , vol.9 , pp. 95-109
    • Schaefli, B.1    Hingray, B.2    Niggli, M.3    Musy, A.4
  • 60
    • 16444365723 scopus 로고    scopus 로고
    • Rainfall-runoff modelling using artificial neural networks: comparison of network types
    • Senthil K, Sudheer K, Jain S, Agarwal P. 2005. Rainfall-runoff modelling using artificial neural networks: comparison of network types. Hydrological Processes 19(6): 1277-1291.
    • (2005) Hydrological Processes , vol.19 , Issue.6 , pp. 1277-1291
    • Senthil, K.1    Sudheer, K.2    Jain, S.3    Agarwal, P.4
  • 61
    • 79960739312 scopus 로고    scopus 로고
    • Evaluating the SWAT model for hydrological modeling in the Xixian watershed and a comparison with the XAJ model
    • Shi P, Chen C, Srinivasan R, Zhang X, Cai T, Fang X., Li Q. 2011. Evaluating the SWAT model for hydrological modeling in the Xixian watershed and a comparison with the XAJ model. Water Resources Management 25(10): 2595-2612.
    • (2011) Water Resources Management , vol.25 , Issue.10 , pp. 2595-2612
    • Shi, P.1    Chen, C.2    Srinivasan, R.3    Zhang, X.4    Cai, T.5    Fang, X.6    Li, Q.7
  • 63
    • 84856621095 scopus 로고    scopus 로고
    • Hydrologic system complexity and nonlinear dynamic concepts for a catchment classification framework
    • Sivakumar B, Singh V. 2011. Hydrologic system complexity and nonlinear dynamic concepts for a catchment classification framework. Hydrology and Earth System Sciences Discussions 8(3): 4427-4458.
    • (2011) Hydrology and Earth System Sciences Discussions , vol.8 , Issue.3 , pp. 4427-4458
    • Sivakumar, B.1    Singh, V.2
  • 64
    • 33746458562 scopus 로고    scopus 로고
    • Analysis of factors driving stream water composition and synthesis of management tools-a case study on small/medium Greek catchments
    • Skoulikidis NT, Amaxidis Y, Bertahas I, Laschou S, Gritzalis K. 2006. Analysis of factors driving stream water composition and synthesis of management tools-a case study on small/medium Greek catchments. Science of the Total Environment 362(1): 205-241.
    • (2006) Science of the Total Environment , vol.362 , Issue.1 , pp. 205-241
    • Skoulikidis, N.T.1    Amaxidis, Y.2    Bertahas, I.3    Laschou, S.4    Gritzalis, K.5
  • 65
    • 84929483778 scopus 로고    scopus 로고
    • Distributed modeling: Phase 1 results: US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service.
    • Smith MB, Koren V, Finnerty B, Johnson DL. 1999. Distributed modeling: Phase 1 results: US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service.
    • (1999)
    • Smith, M.B.1    Koren, V.2    Finnerty, B.3    Johnson, D.L.4
  • 66
    • 4143059262 scopus 로고    scopus 로고
    • The distributed model intercomparison project (DMIP): motivation and experiment design
    • Smith MB, Seo D-J, Koren V, Reed S, Zhang Z, Duan Q., Cong S. 2004. The distributed model intercomparison project (DMIP): motivation and experiment design. Journal of Hydrology 298(1): 4-26.
    • (2004) Journal of Hydrology , vol.298 , Issue.1 , pp. 4-26
    • Smith, M.B.1    Seo, D.-J.2    Koren, V.3    Reed, S.4    Zhang, Z.5    Duan, Q.6    Cong, S.7
  • 67
    • 50449104790 scopus 로고    scopus 로고
    • A BTOP model to extend TOPMODEL for distributed hydrological simulation of large basins
    • Takeuchi K, Hapuarachchi P, Zhou M, Ishidaira H, Magome J. 2008. A BTOP model to extend TOPMODEL for distributed hydrological simulation of large basins. Hydrological Processes 22(17): 3236-3251.
    • (2008) Hydrological Processes , vol.22 , Issue.17 , pp. 3236-3251
    • Takeuchi, K.1    Hapuarachchi, P.2    Zhou, M.3    Ishidaira, H.4    Magome, J.5
  • 68
    • 0030483015 scopus 로고    scopus 로고
    • The ARNO rainfall-runoff model
    • Todini E. 1996. The ARNO rainfall-runoff model. Journal of Hydrology 175(1): 339-382.
    • (1996) Journal of Hydrology , vol.175 , Issue.1 , pp. 339-382
    • Todini, E.1
  • 69
    • 0034174397 scopus 로고    scopus 로고
    • Precipitation-runoff modeling using artificial neural networks and conceptual models
    • Tokar AS, Markus M. 2000. Precipitation-runoff modeling using artificial neural networks and conceptual models. Journal of Hydrologic Engineering 5(2): 156-161.
    • (2000) Journal of Hydrologic Engineering , vol.5 , Issue.2 , pp. 156-161
    • Tokar, A.S.1    Markus, M.2
  • 71
    • 0042153980 scopus 로고    scopus 로고
    • Ordered physics-based parameter adjustment of a distributed model
    • Vieux BE, Moreda FG. 2003. Ordered physics-based parameter adjustment of a distributed model. Water Science and Application 6: 267-281.
    • (2003) Water Science and Application , vol.6 , pp. 267-281
    • Vieux, B.E.1    Moreda, F.G.2
  • 72
    • 52649121952 scopus 로고    scopus 로고
    • Implementation of the TOPKAPI model in South Africa: Initial results from the Liebenbergsvlei catchment
    • Vischel T, Pegram G, Sinclair S, Parak M. 2008. Implementation of the TOPKAPI model in South Africa: Initial results from the Liebenbergsvlei catchment. Water SA 34(3): 1-12.
    • (2008) Water SA , vol.34 , Issue.3 , pp. 1-12
    • Vischel, T.1    Pegram, G.2    Sinclair, S.3    Parak, M.4
  • 73
    • 36148948861 scopus 로고    scopus 로고
    • Catchment classification and hydrologic similarity
    • Wagener T, Sivapalan M, Troch P, Woods R. 2007. Catchment classification and hydrologic similarity. Geography Compass 1(4): 901-931.
    • (2007) Geography Compass , vol.1 , Issue.4 , pp. 901-931
    • Wagener, T.1    Sivapalan, M.2    Troch, P.3    Woods, R.4
  • 74
    • 84929483780 scopus 로고    scopus 로고
    • Global Soil Texture and Derived Water-Holding Capacities (Webb). Data set. Available on-line [] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA.
    • Webb RW, Rosenzweig CE, Levine ER. 2000. Global Soil Texture and Derived Water-Holding Capacities (Webb et al.). Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA.
    • (2000)
    • Webb, R.W.1    Rosenzweig, C.E.2    Levine, E.R.3
  • 75
    • 0037443038 scopus 로고    scopus 로고
    • Application of the distributed hydrology soil vegetation model to Redfish Creek, British Columbia: Model evaluation using internal catchment data
    • Whitaker A, Alila Y, Beckers J, Toews D. 2003. Application of the distributed hydrology soil vegetation model to Redfish Creek, British Columbia: Model evaluation using internal catchment data. Hydrological Processes 17(2): 199-224.
    • (2003) Hydrological Processes , vol.17 , Issue.2 , pp. 199-224
    • Whitaker, A.1    Alila, Y.2    Beckers, J.3    Toews, D.4
  • 77
    • 0031158649 scopus 로고    scopus 로고
    • Calibration, validation and sensitivity analysis of the MIKE-SHE model using the Neuenkirchen catchment as case study
    • Xevi E, Christiaens K, Espino A, Sewnandan W, Mallants D, Sørensen H, Feyen J. 1997. Calibration, validation and sensitivity analysis of the MIKE-SHE model using the Neuenkirchen catchment as case study. Water Resources Management 11(3): 219-242.
    • (1997) Water Resources Management , vol.11 , Issue.3 , pp. 219-242
    • Xevi, E.1    Christiaens, K.2    Espino, A.3    Sewnandan, W.4    Mallants, D.5    Sørensen, H.6    Feyen, J.7
  • 78
    • 84873087785 scopus 로고    scopus 로고
    • Uncertainty-based evaluation and comparison of SWAT and HSPF applications to the Illinois River Basin
    • Xie H, Lian Y. 2013. Uncertainty-based evaluation and comparison of SWAT and HSPF applications to the Illinois River Basin. Journal of Hydrology 481: 119-131.
    • (2013) Journal of Hydrology , vol.481 , pp. 119-131
    • Xie, H.1    Lian, Y.2
  • 79
    • 3242694434 scopus 로고    scopus 로고
    • Effects of the catchment runoff coefficient on the performance of TOPMODEL in rainfall-runoff modelling
    • Xiong L, Guo S. 2004. Effects of the catchment runoff coefficient on the performance of TOPMODEL in rainfall-runoff modelling. Hydrological Processes 18(10): 1823-1836.
    • (2004) Hydrological Processes , vol.18 , Issue.10 , pp. 1823-1836
    • Xiong, L.1    Guo, S.2
  • 80
    • 0030615818 scopus 로고    scopus 로고
    • Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling
    • Yew Gan T, Dlamini EM, Biftu GF. 1997. Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling. Journal of Hydrology 192(1): 81-103.
    • (1997) Journal of Hydrology , vol.192 , Issue.1 , pp. 81-103
    • Yew Gan, T.1    Dlamini, E.M.2    Biftu, G.F.3
  • 81
    • 1642328425 scopus 로고    scopus 로고
    • Use of next generation weather radar data and basin disaggregation to improve continuous hydrograph simulations
    • Zhang Z, Koren V, Smith M, Reed S, Wang D. 2004. Use of next generation weather radar data and basin disaggregation to improve continuous hydrograph simulations. Journal of Hydrologic Engineering 9(2): 103-115.
    • (2004) Journal of Hydrologic Engineering , vol.9 , Issue.2 , pp. 103-115
    • Zhang, Z.1    Koren, V.2    Smith, M.3    Reed, S.4    Wang, D.5


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