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Volumn 536, Issue , 2016, Pages 119-132

Water resources climate change projections using supervised nonlinear and multivariate soft computing techniques

Author keywords

Dimensionality reduction; Machine learning; Multivariate bias correction; Statistical downscaling

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLIMATE MODELS; GLOBAL WARMING; LEARNING SYSTEMS; OBJECT ORIENTED PROGRAMMING; PRINCIPAL COMPONENT ANALYSIS; SOFT COMPUTING; WATER RESOURCES;

EID: 84959418865     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.02.040     Document Type: Article
Times cited : (37)

References (41)
  • 1
    • 84924120665 scopus 로고    scopus 로고
    • Input selection for long-lead precipitation prediction using large-scale climate variables: a case study
    • Ahmadi A., Han D., Kakaei Lafdani E., Moridi A. Input selection for long-lead precipitation prediction using large-scale climate variables: a case study. J. Hydroinf. 2015, 17(1):114. 10.2166/hydro.2014.138.
    • (2015) J. Hydroinf. , vol.17 , Issue.1 , pp. 114
    • Ahmadi, A.1    Han, D.2    Kakaei Lafdani, E.3    Moridi, A.4
  • 2
    • 84904904412 scopus 로고    scopus 로고
    • A multi-scale relevance vector regression approach for daily urban water demand forecasting
    • Bai Y., Wang P., Li C., Xie J., Wang Y. A multi-scale relevance vector regression approach for daily urban water demand forecasting. J. Hydrol. 2014, 517:236-245.
    • (2014) J. Hydrol. , vol.517 , pp. 236-245
    • Bai, Y.1    Wang, P.2    Li, C.3    Xie, J.4    Wang, Y.5
  • 3
    • 79952190499 scopus 로고    scopus 로고
    • Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds
    • Barshan E., Ghodsi A., Azimifar Z., Zolghadri Jahromi M. Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds. Pattern Recogn. 2011, 44(7):1357-1371. 10.1016/j.patcog.2010.12.015.
    • (2011) Pattern Recogn. , vol.44 , Issue.7 , pp. 1357-1371
    • Barshan, E.1    Ghodsi, A.2    Azimifar, Z.3    Zolghadri Jahromi, M.4
  • 4
    • 84862008126 scopus 로고    scopus 로고
    • Uncertainties in hydrologic and climate change impact analyses in headwater basins of British Columbia
    • Bennett K.E., Werner A.T., Schnorbus M. Uncertainties in hydrologic and climate change impact analyses in headwater basins of British Columbia. J. Clim. 2012, 25(17):5711-5730. 10.1175/jcli-d-11-00417.1.
    • (2012) J. Clim. , vol.25 , Issue.17 , pp. 5711-5730
    • Bennett, K.E.1    Werner, A.T.2    Schnorbus, M.3
  • 5
    • 84862827010 scopus 로고    scopus 로고
    • Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff
    • Chen H., Xu C.-Y., Guo S. Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. J. Hydrol. 2012, 434:36-45.
    • (2012) J. Hydrol. , vol.434 , pp. 36-45
    • Chen, H.1    Xu, C.-Y.2    Guo, S.3
  • 6
    • 77950866077 scopus 로고    scopus 로고
    • Statistical downscaling of daily precipitation using support vector machines and multivariate analysis
    • Chen S.-T., Yu P.-S., Tang Y.-H. Statistical downscaling of daily precipitation using support vector machines and multivariate analysis. J. Hydrol. 2010, 385(1-4):13-22. 10.1016/j.jhydrol.2010.01.021.
    • (2010) J. Hydrol. , vol.385 , Issue.1-4 , pp. 13-22
    • Chen, S.-T.1    Yu, P.-S.2    Tang, Y.-H.3
  • 7
    • 84979904341 scopus 로고    scopus 로고
    • Constructing comprehensive datasets for understanding human and climate change impacts on hydrologic cycle
    • Dingbao Wang X.C. Constructing comprehensive datasets for understanding human and climate change impacts on hydrologic cycle. Irrigation Drainage Syst. Eng. 2013, 02(01). 10.4172/2168-9768.1000106.
    • (2013) Irrigation Drainage Syst. Eng. , vol.2 , Issue.1
    • Dingbao Wang, X.C.1
  • 9
    • 35348933854 scopus 로고    scopus 로고
    • Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling
    • Fowler H.J., Blenkinsop S., Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol. 2007, 27(12):1547-1578. 10.1002/joc.1556.
    • (2007) Int. J. Climatol. , vol.27 , Issue.12 , pp. 1547-1578
    • Fowler, H.J.1    Blenkinsop, S.2    Tebaldi, C.3
  • 10
    • 36049032414 scopus 로고    scopus 로고
    • Statistical downscaling of GCM simulations to streamflow using relevance vector machine
    • Ghosh S., Mujumdar P. Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Adv. Water Resour. 2008, 31(1):132-146.
    • (2008) Adv. Water Resour. , vol.31 , Issue.1 , pp. 132-146
    • Ghosh, S.1    Mujumdar, P.2
  • 13
    • 0027042223 scopus 로고    scopus 로고
    • Large-scale atmospheric controls on local precipitation in tropical Mexico
    • Hewitson B.C., Crane R.G. Large-scale atmospheric controls on local precipitation in tropical Mexico. Geophys. Res. Lett. 2012, 19(18):1835-1838.
    • (2012) Geophys. Res. Lett. , vol.19 , Issue.18 , pp. 1835-1838
    • Hewitson, B.C.1    Crane, R.G.2
  • 14
    • 84863393620 scopus 로고    scopus 로고
    • A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations
    • Johnson F., Sharma A. A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations. Water Resour. Res. 2012, 48(1). 10.1029/2011wr010464.
    • (2012) Water Resour. Res. , vol.48 , Issue.1
    • Johnson, F.1    Sharma, A.2
  • 15
    • 84927931757 scopus 로고    scopus 로고
    • What are the impacts of bias correction on future drought projections?
    • Johnson F., Sharma A. What are the impacts of bias correction on future drought projections?. J. Hydrol. 2015, 525:472-485.
    • (2015) J. Hydrol. , vol.525 , pp. 472-485
    • Johnson, F.1    Sharma, A.2
  • 16
    • 84886093860 scopus 로고    scopus 로고
    • Data based comparison of sparse bayesian learning and multiple linear regression for statistical downscaling of low flow indices
    • Joshi D., St-Hilaire A., Daigle A., Ouarda T.B.M.J. Data based comparison of sparse bayesian learning and multiple linear regression for statistical downscaling of low flow indices. J. Hydrol. 2013, 488:136-149. 10.1016/j.jhydrol.2013.02.040.
    • (2013) J. Hydrol. , vol.488 , pp. 136-149
    • Joshi, D.1    St-Hilaire, A.2    Daigle, A.3    Ouarda, T.B.M.J.4
  • 17
    • 20844458468 scopus 로고    scopus 로고
    • Applicability of statistical learning algorithms in groundwater quality modeling
    • Khalil A., Almasri M.N., McKee M., Kaluarachchi J.J. Applicability of statistical learning algorithms in groundwater quality modeling. Water Resour. Res. 2005, 41(5).
    • (2005) Water Resour. Res. , vol.41 , Issue.5
    • Khalil, A.1    Almasri, M.N.2    McKee, M.3    Kaluarachchi, J.J.4
  • 18
    • 28444480680 scopus 로고    scopus 로고
    • Multiobjective analysis of chaotic dynamic systems with sparse learning machines
    • Khalil A.F., McKee M., Kemblowski M., Asefa T., Bastidas L. Multiobjective analysis of chaotic dynamic systems with sparse learning machines. Adv. Water Resour. 2006, 29(1):72-88. 10.1016/j.advwatres.2005.05.011.
    • (2006) Adv. Water Resour. , vol.29 , Issue.1 , pp. 72-88
    • Khalil, A.F.1    McKee, M.2    Kemblowski, M.3    Asefa, T.4    Bastidas, L.5
  • 19
    • 84911306428 scopus 로고
    • Mathematical assessment of synthetic hydrology
    • Matalas N.C. Mathematical assessment of synthetic hydrology. Water Resour. Res. 1967, 3(4):937-945. 10.1029/WR003i004p00937.
    • (1967) Water Resour. Res. , vol.3 , Issue.4 , pp. 937-945
    • Matalas, N.C.1
  • 20
    • 84871386211 scopus 로고    scopus 로고
    • An improved standardization procedure to remove systematic low frequency variability biases in GCM simulations
    • n/a-n/a
    • Mehrotra R., Sharma A. An improved standardization procedure to remove systematic low frequency variability biases in GCM simulations. Water Resour. Res. 2012, 48(12). n/a-n/a. 10.1029/2012wr012446.
    • (2012) Water Resour. Res. , vol.48 , Issue.12
    • Mehrotra, R.1    Sharma, A.2
  • 21
    • 84913582771 scopus 로고    scopus 로고
    • Correcting for systematic biases in multiple raw GCM variables across a range of timescales
    • Mehrotra R., Sharma A. Correcting for systematic biases in multiple raw GCM variables across a range of timescales. J. Hydrol. 2015, 520:214-223. 10.1016/j.jhydrol.2014.11.037.
    • (2015) J. Hydrol. , vol.520 , pp. 214-223
    • Mehrotra, R.1    Sharma, A.2
  • 22
    • 84872272963 scopus 로고    scopus 로고
    • Dynamic Bayesian networks as a decision support tool for assessing climate change impacts on highly stressed groundwater systems
    • Molina J.-L., Pulido-Velázquez D., García-Aróstegui J.L., Pulido-Velázquez M. Dynamic Bayesian networks as a decision support tool for assessing climate change impacts on highly stressed groundwater systems. J. Hydrol. 2013, 479:113-129.
    • (2013) J. Hydrol. , vol.479 , pp. 113-129
    • Molina, J.-L.1    Pulido-Velázquez, D.2    García-Aróstegui, J.L.3    Pulido-Velázquez, M.4
  • 23
    • 49449117218 scopus 로고    scopus 로고
    • Modeling GCM and scenario uncertainty using a possibilistic approach: application to the Mahanadi River, India
    • Mujumdar P., Ghosh S. Modeling GCM and scenario uncertainty using a possibilistic approach: application to the Mahanadi River, India. Water Resour. Res. 2008, 44(6).
    • (2008) Water Resour. Res. , vol.44 , Issue.6
    • Mujumdar, P.1    Ghosh, S.2
  • 24
    • 84927640926 scopus 로고    scopus 로고
    • Multi-model ensemble analysis of runoff extremes for climate change impact assessments
    • (In Press)
    • Najafi M.R., Moradkhani H. Multi-model ensemble analysis of runoff extremes for climate change impact assessments. J. Hydrol. 2015, (In Press). 10.1016/j.jhydrol.2015.03.045.
    • (2015) J. Hydrol.
    • Najafi, M.R.1    Moradkhani, H.2
  • 25
    • 84877320947 scopus 로고    scopus 로고
    • Performance assessment of different data mining methods in statistical downscaling of daily precipitation
    • Nasseri M., Tavakol-Davani H., Zahraie B. Performance assessment of different data mining methods in statistical downscaling of daily precipitation. J. Hydrol. 2013, 492:1-14. 10.1016/j.jhydrol.2013.04.017.
    • (2013) J. Hydrol. , vol.492 , pp. 1-14
    • Nasseri, M.1    Tavakol-Davani, H.2    Zahraie, B.3
  • 26
    • 84881347138 scopus 로고    scopus 로고
    • Assessing severe drought and wet events over india in a future climate using a nested bias-correction approach
    • Ojha R., Nagesh Kumar D., Sharma A., Mehrotra R. Assessing severe drought and wet events over india in a future climate using a nested bias-correction approach. J. Hydrol. Eng. 2013, 18(7):760-772. 10.1061/(asce)he.1943-5584.0000585.
    • (2013) J. Hydrol. Eng. , vol.18 , Issue.7 , pp. 760-772
    • Ojha, R.1    Nagesh Kumar, D.2    Sharma, A.3    Mehrotra, R.4
  • 27
    • 84959433270 scopus 로고    scopus 로고
    • Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios
    • Okkan U., Inan G. Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios. Int. J. Climatol. 2014.
    • (2014) Int. J. Climatol.
    • Okkan, U.1    Inan, G.2
  • 28
    • 84899447875 scopus 로고    scopus 로고
    • Support vector machine applications in the field of hydrology: a review
    • Sujay Raghavendra N., Deka P.C. Support vector machine applications in the field of hydrology: a review. Appl. Soft Comput. 2014, 19:372-386. 10.1016/j.asoc.2014.02.002.
    • (2014) Appl. Soft Comput. , vol.19 , pp. 372-386
    • Sujay Raghavendra, N.1    Deka, P.C.2
  • 29
    • 84919480153 scopus 로고    scopus 로고
    • Assessing atmospheric bias correction for dynamical consistency using potential vorticity
    • Rocheta E., Evans J., Sharma A. Assessing atmospheric bias correction for dynamical consistency using potential vorticity. Environ. Res. Lett. 2014, 9(12). 10.1088/1748-9326/9/12/124010.
    • (2014) Environ. Res. Lett. , vol.9 , Issue.12
    • Rocheta, E.1    Evans, J.2    Sharma, A.3
  • 30
    • 84895777332 scopus 로고    scopus 로고
    • How well do general circulation models represent low frequency rainfall variability?
    • Rocheta E., Sugiyanto M., Johnson F., Evans J., Sharma A. How well do general circulation models represent low frequency rainfall variability?. Water Resour. Res. 2014, 50(3):2108-2123. 10.1002/2012WR013085.
    • (2014) Water Resour. Res. , vol.50 , Issue.3 , pp. 2108-2123
    • Rocheta, E.1    Sugiyanto, M.2    Johnson, F.3    Evans, J.4    Sharma, A.5
  • 32
    • 85026936282 scopus 로고    scopus 로고
    • Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques
    • submitted for publication.
    • Sarhadi A., Burn H.D., Yang G., Ghodsi A. Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques. Climate Dyn. 2015, submitted for publication.
    • (2015) Climate Dyn.
    • Sarhadi, A.1    Burn, H.D.2    Yang, G.3    Ghodsi, A.4
  • 33
    • 84885335194 scopus 로고    scopus 로고
    • Heavy precipitation events in a warmer climate: results from CMIP5 models
    • Scoccimarro E., Gualdi S., Bellucci A., Zampieri M., Navarra A. Heavy precipitation events in a warmer climate: results from CMIP5 models. J. Clim. 2013, 26(20):7902-7911. 10.1175/jcli-d-12-00850.1.
    • (2013) J. Clim. , vol.26 , Issue.20 , pp. 7902-7911
    • Scoccimarro, E.1    Gualdi, S.2    Bellucci, A.3    Zampieri, M.4    Navarra, A.5
  • 34
    • 84918813101 scopus 로고    scopus 로고
    • Comparing statistically downscaled simulations of Indian monsoon at different spatial resolutions
    • Shashikanth K., et al. Comparing statistically downscaled simulations of Indian monsoon at different spatial resolutions. J. Hydrol. 2014, 519:3163-3177. 10.1016/j.jhydrol.2014.10.042.
    • (2014) J. Hydrol. , vol.519 , pp. 3163-3177
    • Shashikanth, K.1
  • 35
    • 65449139416 scopus 로고    scopus 로고
    • A nested multisite daily rainfall stochastic generation model
    • Srikanthan R., Pegram G.G.S. A nested multisite daily rainfall stochastic generation model. J. Hydrol. 2009, 371(1):142-153. 10.1016/j.jhydrol.2009.03.025.
    • (2009) J. Hydrol. , vol.371 , Issue.1 , pp. 142-153
    • Srikanthan, R.1    Pegram, G.G.S.2
  • 37
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector
    • Tipping M.E. Sparse bayesian learning and the relevance vector. J. Mach. Learning Res. 2001, 1:211-244.
    • (2001) J. Mach. Learning Res. , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 38
    • 77950946426 scopus 로고    scopus 로고
    • Statistical downscaling of river flows
    • Tisseuil C., Vrac M., Lek S., Wade A.J. Statistical downscaling of river flows. J. Hydrol. 2010, 385(1-4):279-291. 10.1016/j.jhydrol.2010.02.030.
    • (2010) J. Hydrol. , vol.385 , Issue.1-4 , pp. 279-291
    • Tisseuil, C.1    Vrac, M.2    Lek, S.3    Wade, A.J.4
  • 39
    • 33750018142 scopus 로고    scopus 로고
    • Downscaling of precipitation for climate change scenarios: a support vector machine approach
    • Tripathi S., Srinivas V., Nanjundiah R.S. Downscaling of precipitation for climate change scenarios: a support vector machine approach. J. Hydrol. 2006, 330(3):621-640.
    • (2006) J. Hydrol. , vol.330 , Issue.3 , pp. 621-640
    • Tripathi, S.1    Srinivas, V.2    Nanjundiah, R.S.3
  • 41
    • 84926218608 scopus 로고    scopus 로고
    • Reliability of CMIP5 GCM simulations in reproducing atmospheric circulation over Europe and the North Atlantic: a statistical downscaling perspective
    • Wójcik R. Reliability of CMIP5 GCM simulations in reproducing atmospheric circulation over Europe and the North Atlantic: a statistical downscaling perspective. Int. J. Climatol. 2015, 35(5):714-732. 10.1002/joc.4015.
    • (2015) Int. J. Climatol. , vol.35 , Issue.5 , pp. 714-732
    • Wójcik, R.1


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