-
1
-
-
69249101676
-
Development of a new method of wavelet aided trend detection and estimation
-
Adamowski K., Prokoph A., Adamowski J. Development of a new method of wavelet aided trend detection and estimation. Hydrol. Process. 2009, 23(18):2686-2696.
-
(2009)
Hydrol. Process.
, vol.23
, Issue.18
, pp. 2686-2696
-
-
Adamowski, K.1
Prokoph, A.2
Adamowski, J.3
-
2
-
-
77956838672
-
Comparison of multivariate regression and artificial neural networks for peak urban water demand forecasting: evaluation of different ANN learning algorithms
-
Adamowski J., Karapataki C. Comparison of multivariate regression and artificial neural networks for peak urban water demand forecasting: evaluation of different ANN learning algorithms. J. Hydrol. Eng. 2010, 15(10):729-743.
-
(2010)
J. Hydrol. Eng.
, vol.15
, Issue.10
, pp. 729-743
-
-
Adamowski, J.1
Karapataki, C.2
-
3
-
-
77955276087
-
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. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J. Hydrol. 2010, 390(1-2):85-91.
-
(2010)
J. Hydrol.
, vol.390
, Issue.1-2
, pp. 85-91
-
-
Adamowski, J.1
Sun, K.2
-
4
-
-
80052027629
-
A wavelet neural network conjunction model for groundwater level forecasting
-
Adamowski J., Fung Chan H. A wavelet neural network conjunction model for groundwater level forecasting. J. Hydrol. 2012, 407(1-4):28-40.
-
(2012)
J. Hydrol.
, vol.407
, Issue.1-4
, pp. 28-40
-
-
Adamowski, J.1
Fung Chan, H.2
-
5
-
-
33847624519
-
An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction
-
Ajami N.K., Duan Q., Sorooshian S. An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour. Res. 2007, 43:W01403. 10.1029/2005WR004745.
-
(2007)
Water Resour. Res.
, vol.43
-
-
Ajami, N.K.1
Duan, Q.2
Sorooshian, S.3
-
6
-
-
0000343833
-
Nonlinear hydrologic analysis
-
Amorocho J. Nonlinear hydrologic analysis. Adv. Hydrosci. 1973, 9:203-251.
-
(1973)
Adv. Hydrosci.
, vol.9
, pp. 203-251
-
-
Amorocho, J.1
-
7
-
-
0001085145
-
Determination of Nonlinear Functional Response Functions in Rainfall-Runoff Processes
-
Amorocho J., Brandstetter A. Determination of Nonlinear Functional Response Functions in Rainfall-Runoff Processes. Water Resour. Res. 1971, 7(5):1087-1101.
-
(1971)
Water Resour. Res.
, vol.7
, Issue.5
, pp. 1087-1101
-
-
Amorocho, J.1
Brandstetter, A.2
-
8
-
-
0005550747
-
Non-linear analysis of hydrologic systems, Water Resources Center
-
Amorocho J., Orlob G.T. Non-linear analysis of hydrologic systems, Water Resources Center. Univ. California (Berkeley) 1961, 40:147.
-
(1961)
Univ. California (Berkeley)
, vol.40
, pp. 147
-
-
Amorocho, J.1
Orlob, G.T.2
-
9
-
-
68949135430
-
Tools for the assessment of hydrological ensemble forecasts obtained by neural networks
-
Boucher M.A., Perreault L., Anctil F. Tools for the assessment of hydrological ensemble forecasts obtained by neural networks. J. Hydroinform. 2009, 11(3-4):297-307.
-
(2009)
J. Hydroinform.
, vol.11
, Issue.3-4
, pp. 297-307
-
-
Boucher, M.A.1
Perreault, L.2
Anctil, F.3
-
10
-
-
0024771664
-
Orthogonal least squares methods and their application to non-linear system identification
-
Chen S., Billings S.A., Luo W. Orthogonal least squares methods and their application to non-linear system identification. Int. J. Control 1989, 50(5):1873-1896.
-
(1989)
Int. J. Control
, vol.50
, Issue.5
, pp. 1873-1896
-
-
Chen, S.1
Billings, S.A.2
Luo, W.3
-
11
-
-
34047234605
-
Pattern recognition with SVM and dual-tree complex wavelets
-
Chen G.Y., Xie W.F. Pattern recognition with SVM and dual-tree complex wavelets. Image and Vision Computing 2007, 25(6):960-966.
-
(2007)
Image and Vision Computing
, vol.25
, Issue.6
, pp. 960-966
-
-
Chen, G.Y.1
Xie, W.F.2
-
12
-
-
33845703865
-
Efficient nonlinear modeling of rainfall-runoff process using wavelet compression
-
Chou C. Efficient nonlinear modeling of rainfall-runoff process using wavelet compression. J. Hydrol. 2007, 332(3-4):442-455.
-
(2007)
J. Hydrol.
, vol.332
, Issue.3-4
, pp. 442-455
-
-
Chou, C.1
-
13
-
-
0012372503
-
Properties of the kernels for time invariant, initially relaxed, second order, surface runoff systems
-
Diskin M.H., Boneh A. Properties of the kernels for time invariant, initially relaxed, second order, surface runoff systems. J. Hydrol 1972, 17(1):115-141.
-
(1972)
J. Hydrol
, vol.17
, Issue.1
, pp. 115-141
-
-
Diskin, M.H.1
Boneh, A.2
-
14
-
-
79956340139
-
Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach
-
Dhanya Kumar D. Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach. Water Resour. Res. 2011, W06507.
-
(2011)
Water Resour. Res.
-
-
Dhanya, K.D.1
-
15
-
-
33847274843
-
Multimodel ensemble hydrologic prediction using Bayesian model averaging
-
Duan Q., Ajami N.K., Gao X., Sorooshian S. Multimodel ensemble hydrologic prediction using Bayesian model averaging. Adv. Water Resour. 2007, 30:1371-1386.
-
(2007)
Adv. Water Resour.
, vol.30
, pp. 1371-1386
-
-
Duan, Q.1
Ajami, N.K.2
Gao, X.3
Sorooshian, S.4
-
16
-
-
18044404766
-
Benchmark priors for Bayesian model averaging
-
Fernandez C., Ley E., Steel M.F.J. Benchmark priors for Bayesian model averaging. J. Econometrics 2001, 100:381-427.
-
(2001)
J. Econometrics
, vol.100
, pp. 381-427
-
-
Fernandez, C.1
Ley, E.2
Steel, M.F.J.3
-
17
-
-
80053351623
-
Hydrological ensemble forecasting in mesoscale catchments: Sensitivity to initial conditions and value of reforecasts
-
Fundel F., Zappa M. Hydrological ensemble forecasting in mesoscale catchments: Sensitivity to initial conditions and value of reforecasts. Water Resour. Res. 2011, 47:W09520.
-
(2011)
Water Resour. Res.
, vol.47
-
-
Fundel, F.1
Zappa, M.2
-
18
-
-
4143139874
-
Characterizing streamflow simulation uncertainty through multimodel ensembles
-
Georgakakos K.P., Seo D.J., Gupta H., Schake J., Butts M.B. Characterizing streamflow simulation uncertainty through multimodel ensembles. J. Hydrol. 2004, 298:222-241.
-
(2004)
J. Hydrol.
, vol.298
, pp. 222-241
-
-
Georgakakos, K.P.1
Seo, D.J.2
Gupta, H.3
Schake, J.4
Butts, M.B.5
-
19
-
-
0035270069
-
Interpretation of Rank Histograms for Verifying Ensemble Forecasts
-
Hamil, Thomas M. Interpretation of Rank Histograms for Verifying Ensemble Forecasts. Mon. Wea. Rev. 2001, 129:550-560.
-
(2001)
Mon. Wea. Rev.
, vol.129
, pp. 550-560
-
-
Hamil1
Thomas, M.2
-
21
-
-
0001259111
-
Bayesian model averaging: a tutorial
-
Hoeting J.A., Madigan D., Raftery A.E., Volinsky C.T. Bayesian model averaging: a tutorial. Stat. Sci. 1999, 14(4):382-417.
-
(1999)
Stat. Sci.
, vol.14
, Issue.4
, pp. 382-417
-
-
Hoeting, J.A.1
Madigan, D.2
Raftery, A.E.3
Volinsky, C.T.4
-
22
-
-
14944353773
-
Trend assessment: Applications for hydrology and climate research
-
Kallache M., Rust H.W., Kropp J. Trend assessment: Applications for hydrology and climate research. Nonlinear Processes Geophys. 2005, 12:201-210.
-
(2005)
Nonlinear Processes Geophys.
, vol.12
, pp. 201-210
-
-
Kallache, M.1
Rust, H.W.2
Kropp, J.3
-
23
-
-
71649094330
-
Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting
-
Kisi Ö. Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting. Hydrol. Process. 2009, 23(25):3583-3597.
-
(2009)
Hydrol. Process.
, vol.23
, Issue.25
, pp. 3583-3597
-
-
Kisi, Ö.1
-
24
-
-
78751591071
-
Wavelet regression model as an alternative to neural networks for river stage forecasting
-
Kisi O. Wavelet regression model as an alternative to neural networks for river stage forecasting. Water Resour. Manage. 2011, 25:579-600.
-
(2011)
Water Resour. Manage.
, vol.25
, pp. 579-600
-
-
Kisi, O.1
-
25
-
-
28444499418
-
Recent advances in wavelet analyses: Part 1. A review of concepts
-
Labat D. Recent advances in wavelet analyses: Part 1. A review of concepts. J. Hydrol. 2005, 314(1-4):275-288.
-
(2005)
J. Hydrol.
, vol.314
, Issue.1-4
, pp. 275-288
-
-
Labat, D.1
-
26
-
-
0034931357
-
Introduction of wavelet analyses to rainfall/runoffs relationship for a karstic basin: the case of Licq-Atherey karstic system (France)
-
Labat D., Ababou R. Introduction of wavelet analyses to rainfall/runoffs relationship for a karstic basin: the case of Licq-Atherey karstic system (France). Ground Water 2001, 39(4):605-615.
-
(2001)
Ground Water
, vol.39
, Issue.4
, pp. 605-615
-
-
Labat, D.1
Ababou, R.2
-
27
-
-
0034610444
-
Rainfall-runoff relations for karstic springs. Part II: continuous wavelet and discrete orthogonal multiresolution analyses
-
Labat D., Ababou R., Mangin A. Rainfall-runoff relations for karstic springs. Part II: continuous wavelet and discrete orthogonal multiresolution analyses. J. Hydrol. 2000, 238(3):149-178.
-
(2000)
J. Hydrol.
, vol.238
, Issue.3
, pp. 149-178
-
-
Labat, D.1
Ababou, R.2
Mangin, A.3
-
29
-
-
67651246919
-
On the effect of prior assumptions in Bayesian model averaging with applications to growth regression
-
Ley E., Steel M.F.J. On the effect of prior assumptions in Bayesian model averaging with applications to growth regression. J. Appl. Econometrics 2009, 24:651-674.
-
(2009)
J. Appl. Econometrics
, vol.24
, pp. 651-674
-
-
Ley, E.1
Steel, M.F.J.2
-
30
-
-
84862663945
-
Multiscale nonlinear model for monthly stream flow forecasting: a wavelet based approach
-
Maheswaran R., Khosa R. Multiscale nonlinear model for monthly stream flow forecasting: a wavelet based approach. J. Hydroinform. 2011, 14(2):424-442.
-
(2011)
J. Hydroinform.
, vol.14
, Issue.2
, pp. 424-442
-
-
Maheswaran, R.1
Khosa, R.2
-
31
-
-
84862642100
-
Comparative study of different wavelets for hydrologic forecasting
-
Maheswaran R., Khosa R. Comparative study of different wavelets for hydrologic forecasting. Comput. Geosci. 2011, 46:284-295.
-
(2011)
Comput. Geosci.
, vol.46
, pp. 284-295
-
-
Maheswaran, R.1
Khosa, R.2
-
32
-
-
84862648048
-
Wavelet-Volterra coupled model for monthly stream flow forecasting
-
Maheswaran R., Khosa R. Wavelet-Volterra coupled model for monthly stream flow forecasting. J. Hydrol. 2011, 450-451:320-335.
-
(2011)
J. Hydrol.
, pp. 320-335
-
-
Maheswaran, R.1
Khosa, R.2
-
33
-
-
0001858216
-
Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates
-
Min C., Zellner A. Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates. J. Econometrics 1993, 56(1-2):89-118.
-
(1993)
J. Econometrics
, vol.56
, Issue.1-2
, pp. 89-118
-
-
Min, C.1
Zellner, A.2
-
34
-
-
84870234964
-
Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954-2008)
-
Nalley D., Adamowski J., Khalil B. Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954-2008). J. Hydrol. 2012, 475:204-228.
-
(2012)
J. Hydrol.
, vol.475
, pp. 204-228
-
-
Nalley, D.1
Adamowski, J.2
Khalil, B.3
-
35
-
-
33748032086
-
Characterization of permeability anisotropy using wavelet analysis
-
Neupauer R.M., Powell K.L., Qi X., Lee D.H., Villhauer D.A. Characterization of permeability anisotropy using wavelet analysis. Water Resour. Res. 2006, 42:W07419.
-
(2006)
Water Resour. Res.
, vol.42
-
-
Neupauer, R.M.1
Powell, K.L.2
Qi, X.3
Lee, D.H.4
Villhauer, D.A.5
-
36
-
-
61349106542
-
A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation
-
Nourani V., Alami M.T., Aminfar M.H. A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation. Eng. Appl. Artif. Intel. 2008, 22(3):466-472.
-
(2008)
Eng. Appl. Artif. Intel.
, vol.22
, Issue.3
, pp. 466-472
-
-
Nourani, V.1
Alami, M.T.2
Aminfar, M.H.3
-
37
-
-
70350337875
-
A multivariate ANN-wavelet approach for rainfall-runoff modeling
-
Nourani V., Komasi M., Mano A. A multivariate ANN-wavelet approach for rainfall-runoff modeling. Water Resour. Manage. 2009, 23(14):2877-2894.
-
(2009)
Water Resour. Manage.
, vol.23
, Issue.14
, pp. 2877-2894
-
-
Nourani, V.1
Komasi, M.2
Mano, A.3
-
38
-
-
84858823339
-
Toward reduction of model uncertainty: integration of Bayesian model averaging and data assimilation
-
Parrish M.A., Moradkhani H., DeChant C.M. Toward reduction of model uncertainty: integration of Bayesian model averaging and data assimilation. Water Resour. Res. 2012, 48:1-18.
-
(2012)
Water Resour. Res.
, vol.48
, pp. 1-18
-
-
Parrish, M.A.1
Moradkhani, H.2
DeChant, C.M.3
-
39
-
-
71649098140
-
Modelling evapotranspiration using discrete wavelet transform and neural networks
-
Partal T. Modelling evapotranspiration using discrete wavelet transform and neural networks. Hydrol. Process. 2009, 23:3545-3555.
-
(2009)
Hydrol. Process.
, vol.23
, pp. 3545-3555
-
-
Partal, T.1
-
40
-
-
33751399443
-
Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region Turkey
-
Partal T., Küçük M. Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region Turkey. Phys. Chem. Earth 2006, 31(18):1189-1200.
-
(2006)
Phys. Chem. Earth
, vol.31
, Issue.18
, pp. 1189-1200
-
-
Partal, T.1
Küçük, M.2
-
41
-
-
0031506560
-
Bayesian model averaging for linear regression models
-
Raftery A.E., Madigan D., Hoeting J. Bayesian model averaging for linear regression models. J. Am. Stat. Assoc. 1997, 92:179-191.
-
(1997)
J. Am. Stat. Assoc.
, vol.92
, pp. 179-191
-
-
Raftery, A.E.1
Madigan, D.2
Hoeting, J.3
-
42
-
-
20444497873
-
Using Bayesian model averaging to calibrate forecast ensembles
-
Raftery A.E., Gneiting T., Balabdaoui F., Polakowski M. Using Bayesian model averaging to calibrate forecast ensembles. Mon. Weather Rev. 2005, 133:1155-1174.
-
(2005)
Mon. Weather Rev.
, vol.133
, pp. 1155-1174
-
-
Raftery, A.E.1
Gneiting, T.2
Balabdaoui, F.3
Polakowski, M.4
-
44
-
-
84861123587
-
Bayesian model averaging using particle filtering and Gaussian mixture modeling: theory, concepts, and simulation experiments
-
Rings J., Vrugt J.A., Schoups G., Huisman J.A., Vereecken H. Bayesian model averaging using particle filtering and Gaussian mixture modeling: theory, concepts, and simulation experiments. Water Resour. Res. 2012, 48:W05520.
-
(2012)
Water Resour. Res.
, vol.48
-
-
Rings, J.1
Vrugt, J.A.2
Schoups, G.3
Huisman, J.A.4
Vereecken, H.5
-
45
-
-
78650462124
-
Wavelet cross-correlation method for hydrologic time series analysis
-
Sang Y.F., Wang D., Wu J.C., Zhu Q.P. Wavelet cross-correlation method for hydrologic time series analysis. J. Hydraul. Eng. 2010, 41(11):1172-1179.
-
(2010)
J. Hydraul. Eng.
, vol.41
, Issue.11
, pp. 1172-1179
-
-
Sang, Y.F.1
Wang, D.2
Wu, J.C.3
Zhu, Q.P.4
-
46
-
-
84887562165
-
-
Discrete wavelet-based trend identification in hydrologic time series. Hydrol. Process.
-
Sang, Y.F., Wang, Z.G., Liu, C.M., 2012. Discrete wavelet-based trend identification in hydrologic time series. Hydrol. Process.
-
(2012)
-
-
Sang, Y.F.1
Wang, Z.G.2
Liu, C.M.3
-
47
-
-
0033393056
-
A real-time combination method for the outputs of different rainfall-runoff models
-
Shamseldin A.Y., O'Connor K.M. A real-time combination method for the outputs of different rainfall-runoff models. Hydrological Sciences Journal 1999, 44(6):895-912.
-
(1999)
Hydrological Sciences Journal
, vol.44
, Issue.6
, pp. 895-912
-
-
Shamseldin, A.Y.1
O'Connor, K.M.2
-
48
-
-
0026938667
-
The discrete wavelet transform: wedding the a trous and Mallat algorithms
-
Shensa M.J. The discrete wavelet transform: wedding the a trous and Mallat algorithms. Signal Process., IEEE Trans. 1992, 40(10):2464-2482.
-
(1992)
Signal Process., IEEE Trans.
, vol.40
, Issue.10
, pp. 2464-2482
-
-
Shensa, M.J.1
-
50
-
-
0036005160
-
Macroeconomic forecasting using diffusion indexes
-
Stock J.H., Watson M.W. Macroeconomic forecasting using diffusion indexes. J. Business Econ. Stat. 2002, 20:147-162.
-
(2002)
J. Business Econ. Stat.
, vol.20
, pp. 147-162
-
-
Stock, J.H.1
Watson, M.W.2
-
51
-
-
84887564656
-
-
Evaluation of probabilistic prediction system. Proc. Workshop on Predictability, Reading, United Kingdom, ECMWF
-
Talagrand, O., Vautard, R., Strauss, B., 1999. Evaluation of probabilistic prediction system. Proc. Workshop on Predictability, Reading, United Kingdom, ECMWF, pp. 1-25.
-
(1999)
, pp. 1-25
-
-
Talagrand, O.1
Vautard, R.2
Strauss, B.3
-
52
-
-
78149408167
-
Development of an accurate and reliable hourly flood forecasting model using Wavelet-Bootstrap-ANN hybrid approach
-
Tiwari M.K., Chatterjee C. Development of an accurate and reliable hourly flood forecasting model using Wavelet-Bootstrap-ANN hybrid approach. J. Hydrol. 2010, 394:458-470.
-
(2010)
J. Hydrol.
, vol.394
, pp. 458-470
-
-
Tiwari, M.K.1
Chatterjee, C.2
-
53
-
-
33847624077
-
Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
-
Vrugt J.A., Robinson B.A. Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging. Water Resour. Res. 2007, 43:W01411.
-
(2007)
Water Resour. Res.
, vol.43
-
-
Vrugt, J.A.1
Robinson, B.A.2
-
54
-
-
33845543385
-
Wavelet network model and its application to the prediction of hydrology
-
Wang W., Ding J. Wavelet network model and its application to the prediction of hydrology. Science 2003, 1(1):67-71.
-
(2003)
Science
, vol.1
, Issue.1
, pp. 67-71
-
-
Wang, W.1
Ding, J.2
-
55
-
-
2342418631
-
A unified wavelet-based modelling framework for nonlinear system identification: the WANARX model structure
-
Wei H.L., Billings S.A. A unified wavelet-based modelling framework for nonlinear system identification: the WANARX model structure. Int. J. Control 2004, 77(4):351-366.
-
(2004)
Int. J. Control
, vol.77
, Issue.4
, pp. 351-366
-
-
Wei, H.L.1
Billings, S.A.2
-
56
-
-
84871427016
-
Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies
-
Zalachori I., Ramos M.H., Garçon R., Mathevet T., Gailhard J. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies. Advances in Science & Research 2012, 8.
-
(2012)
Advances in Science & Research
, pp. 8
-
-
Zalachori, I.1
Ramos, M.H.2
Garçon, R.3
Mathevet, T.4
Gailhard, J.5
-
57
-
-
84862789349
-
Bayesian Neural Networks for Uncertainty Analysis of Hydrologic Modeling: A Comparison of Two Schemes
-
Zhang X., Zhao K. Bayesian Neural Networks for Uncertainty Analysis of Hydrologic Modeling: A Comparison of Two Schemes. Water Resour. Manage. 2012, 26(8):2365-2382.
-
(2012)
Water Resour. Manage.
, vol.26
, Issue.8
, pp. 2365-2382
-
-
Zhang, X.1
Zhao, K.2
|