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Volumn 27, Issue 7, 2013, Pages 1021-1032

Statistically downscaled probabilistic multi-model ensemble projections of precipitation change in a watershed

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE PROJECTIONS; MULTI-MODEL ENSEMBLE; MULTIPLE LINEAR REGRESSIONS; NON-LINEAR REGRESSION; PRECIPITATION CHANGE; PROBABILISTIC APPROACHES; STATISTICAL DOWNSCALING; STOCHASTIC WEATHER GENERATOR;

EID: 84877920710     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.8413     Document Type: Article
Times cited : (15)

References (37)
  • 2
    • 33947268823 scopus 로고    scopus 로고
    • Evaluating the performance and utility of regional climate models: the prudence project
    • Christensen JH, Carter TR, Rummukainen M, Amanatidis G. 2007. Evaluating the performance and utility of regional climate models: the prudence project. Climatic Change 81: 1-6.
    • (2007) Climatic Change , vol.81 , pp. 1-6
    • Christensen, J.H.1    Carter, T.R.2    Rummukainen, M.3    Amanatidis, G.4
  • 5
    • 0036821589 scopus 로고    scopus 로고
    • Bayesian estimation of parameters in a regional hydrological model
    • Engeland K, Gottschalk L. 2002. Bayesian estimation of parameters in a regional hydrological model. Hydrology and Earth System Sciences 6(5): 883-898.
    • (2002) Hydrology and Earth System Sciences , vol.6 , Issue.5 , pp. 883-898
    • Engeland, K.1    Gottschalk, L.2
  • 6
    • 0347499408 scopus 로고    scopus 로고
    • Gene Expression Programming: a new adaptive algorithm for solving problems
    • Ferreira C. 2001. Gene Expression Programming: a new adaptive algorithm for solving problems. Complex Systems 13(2): 87-129.
    • (2001) Complex Systems , vol.13 , Issue.2 , pp. 87-129
    • Ferreira, C.1
  • 8
    • 35348933854 scopus 로고    scopus 로고
    • Linking climate change modelling to impacts studies, Recent advances in downscaling techniques for hydrological modeling
    • Fowler HJ, Blenkinsop S, Tebaldi C. 2007. Linking climate change modelling to impacts studies, Recent advances in downscaling techniques for hydrological modeling. International Journal of Climatology 27: 1547-1578.
    • (2007) International Journal of Climatology , vol.27 , pp. 1547-1578
    • Fowler, H.J.1    Blenkinsop, S.2    Tebaldi, C.3
  • 9
    • 0037092719 scopus 로고    scopus 로고
    • Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the "Reliability ensemble averaging" (REA) method
    • Giorgi F, Mearns LO. 2002. Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the "Reliability ensemble averaging" (REA) method. Journal of Climate 15: 1141-1158.
    • (2002) Journal of Climate , vol.15 , pp. 1141-1158
    • Giorgi, F.1    Mearns, L.O.2
  • 11
    • 79961094093 scopus 로고    scopus 로고
    • Statistical downscaling of precipitation: state-of-the-art and application of Bayesian multi-model approach for uncertainty assessment
    • Hashmi MZ, Shamseldin AY, Melville BW. 2009. Statistical downscaling of precipitation: state-of-the-art and application of Bayesian multi-model approach for uncertainty assessment. Hydrol. Earth Syst. Sci. Discuss, 6(5): 6535-6579.
    • (2009) Hydrol. Earth Syst. Sci. Discuss , vol.6 , Issue.5 , pp. 6535-6579
    • Hashmi, M.Z.1    Shamseldin, A.Y.2    Melville, B.W.3
  • 12
    • 79952988380 scopus 로고    scopus 로고
    • Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed
    • DOI: 10.1007/s00477-010-0416-x
    • Hashmi MZ, Shamseldin AY, Melville BW. 2010. Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed. Stochastic Environmental Research and Risk Assessment 25(4): 475-484. DOI: 10.1007/s00477-010-0416-x
    • (2010) Stochastic Environmental Research and Risk Assessment , vol.25 , Issue.4 , pp. 475-484
    • Hashmi, M.Z.1    Shamseldin, A.Y.2    Melville, B.W.3
  • 13
    • 84855488390 scopus 로고    scopus 로고
    • Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
    • DOI: 10.1016/j.envsoft.2011.07.007
    • Hashmi MZ, Shamseldin AY, Melville BW. 2011. Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP). Environmental Modelling and Software 26(12): 1639-1646. DOI: 10.1016/j.envsoft.2011.07.007
    • (2011) Environmental Modelling and Software , vol.26 , Issue.12 , pp. 1639-1646
    • Hashmi, M.Z.1    Shamseldin, A.Y.2    Melville, B.W.3
  • 14
    • 0030417301 scopus 로고    scopus 로고
    • Climate downscaling: techniques and application
    • Hewitson BC, Crane RG. 1996. Climate downscaling: techniques and application. Climate Research 7: 85-95.
    • (1996) Climate Research , vol.7 , pp. 85-95
    • Hewitson, B.C.1    Crane, R.G.2
  • 15
    • 70350109791 scopus 로고    scopus 로고
    • A comparison of stochastic and deterministic downscaling methods for modelling potential groundwater recharge under climate change in East Anglia, UK: implications for groundwater resource management
    • Holman IP, Tascone D, Hess TM. 2009. A comparison of stochastic and deterministic downscaling methods for modelling potential groundwater recharge under climate change in East Anglia, UK: implications for groundwater resource management. Hydrogeology Journal 17: 1629-1641.
    • (2009) Hydrogeology Journal , vol.17 , pp. 1629-1641
    • Holman, I.P.1    Tascone, D.2    Hess, T.M.3
  • 16
    • 0036321570 scopus 로고    scopus 로고
    • Techniques for estimating uncertainty in climate change scenarios and impact studies
    • Katz RW. 2002. Techniques for estimating uncertainty in climate change scenarios and impact studies. Climate Research 20: 167-185.
    • (2002) Climate Research , vol.20 , pp. 167-185
    • Katz, R.W.1
  • 17
    • 58149388065 scopus 로고    scopus 로고
    • Comparison of uncertainty sources for climate change impacts: flood frequency in England
    • Kay AL, Davies HN, Bell VA, Jones RG. 2009. Comparison of uncertainty sources for climate change impacts: flood frequency in England. Climatic Change 92: 41-63.
    • (2009) Climatic Change , vol.92 , pp. 41-63
    • Kay, A.L.1    Davies, H.N.2    Bell, V.A.3    Jones, R.G.4
  • 18
    • 77953338231 scopus 로고    scopus 로고
    • Assessing hydrologic impact of climate change with uncertainty estimates: Bayesian neural network approach
    • Khan MS, Coulibaly P. 2010. Assessing hydrologic impact of climate change with uncertainty estimates: Bayesian neural network approach. Journal of Hydrometeorology 11(2): 482-495.
    • (2010) Journal of Hydrometeorology , vol.11 , Issue.2 , pp. 482-495
    • Khan, M.S.1    Coulibaly, P.2
  • 19
    • 33748791756 scopus 로고    scopus 로고
    • Uncertainty analysis of statistical downscaling methods using CGCM predictors
    • Khan MS, Coulibaly P, Dibike YB. 2006. Uncertainty analysis of statistical downscaling methods using CGCM predictors. Hydrological Processes 20(14): 3085-3104.
    • (2006) Hydrological Processes , vol.20 , Issue.14 , pp. 3085-3104
    • Khan, M.S.1    Coulibaly, P.2    Dibike, Y.B.3
  • 20
    • 84877925732 scopus 로고
    • 410pp. To be published by Oxford University Press.
    • Lee AJ. 1995. Data Analysis. 410pp. To be published by Oxford University Press.
    • (1995) Data Analysis
    • Lee, A.J.1
  • 22
    • 23444447672 scopus 로고    scopus 로고
    • Probabilistic distributions of regional climate change and their application in risk analysis of wheat production
    • Luo Q, Jones RN, Williams M, Bryan B, Bellotti W. 2005. Probabilistic distributions of regional climate change and their application in risk analysis of wheat production. Climate Research 29: 41-52.
    • (2005) Climate Research , vol.29 , pp. 41-52
    • Luo, Q.1    Jones, R.N.2    Williams, M.3    Bryan, B.4    Bellotti, W.5
  • 24
    • 0042324273 scopus 로고    scopus 로고
    • Shifts in flood and low-flow regimes in New Zealand due to interdecadal climate variations
    • McKerchar AI, Henderson RD. 2003. Shifts in flood and low-flow regimes in New Zealand due to interdecadal climate variations. Hydrological Sciences Journal 48: 637-654.
    • (2003) Hydrological Sciences Journal , vol.48 , pp. 637-654
    • McKerchar, A.I.1    Henderson, R.D.2
  • 25
    • 33745459465 scopus 로고    scopus 로고
    • A Bayesian assessment of climate change using multimodel ensembles. Part I: Global mean surface temperature
    • Min SK, Hense A. 2006. A Bayesian assessment of climate change using multimodel ensembles. Part I: Global mean surface temperature. Journal of Climate 19: 3237-3256.
    • (2006) Journal of Climate , vol.19 , pp. 3237-3256
    • Min, S.K.1    Hense, A.2
  • 26
    • 34447272152 scopus 로고    scopus 로고
    • Hierarchical evaluation of IPCCAR4 coupled climate models with systematic consideration of model uncertainties
    • Min SK, Hense, A. 2007. Hierarchical evaluation of IPCCAR4 coupled climate models with systematic consideration of model uncertainties. Climate Dynamics 29: 853-868.
    • (2007) Climate Dynamics , vol.29 , pp. 853-868
    • Min, S.K.1    Hense, A.2
  • 27
    • 0032891604 scopus 로고    scopus 로고
    • Predicting regional climate change: living with uncertainty
    • Mitchell TD, Hulme M. 1999. Predicting regional climate change: living with uncertainty. Progress in Physical Geography 23: 57-78.
    • (1999) Progress in Physical Geography , vol.23 , pp. 57-78
    • Mitchell, T.D.1    Hulme, M.2
  • 29
    • 0030619730 scopus 로고    scopus 로고
    • Use of a stochastic weather generator in the development of climate change scenarios
    • Semenov MA, Barrow EM. 1997. Use of a stochastic weather generator in the development of climate change scenarios. Climatic Change 35: 397-414.
    • (1997) Climatic Change , vol.35 , pp. 397-414
    • Semenov, M.A.1    Barrow, E.M.2
  • 30
    • 0005049716 scopus 로고    scopus 로고
    • Intergovernmental Panel on Climate Change (IPCC)
    • SRES (Special Report on Emission Scenarios).
    • SRES (Special Report on Emission Scenarios). 2000. Intergovernmental Panel on Climate Change (IPCC). http://www.grida.no/climate/ipcc/emission/index.htm
    • (2000)
  • 31
    • 14544276393 scopus 로고    scopus 로고
    • Regional probabilities of precipitation change: a Bayesian analysis of multimodel simulations
    • Tebaldi C, Mearns LO, Nychka D, Smith RL. 2004. Regional probabilities of precipitation change: a Bayesian analysis of multimodel simulations. Geophysical Research Letters 31: 1-5.
    • (2004) Geophysical Research Letters , vol.31 , pp. 1-5
    • Tebaldi, C.1    Mearns, L.O.2    Nychka, D.3    Smith, R.L.4
  • 32
    • 14544287376 scopus 로고    scopus 로고
    • Quantifying uncertainty in projections of regional climate change: a Bayesian approach to the analysis of multimodel ensembles
    • Tebaldi C, Smith RL, Nychka D, Mearns LO. 2005. Quantifying uncertainty in projections of regional climate change: a Bayesian approach to the analysis of multimodel ensembles. Journal of Climate 18: 1524-1540.
    • (2005) Journal of Climate , vol.18 , pp. 1524-1540
    • Tebaldi, C.1    Smith, R.L.2    Nychka, D.3    Mearns, L.O.4
  • 33
    • 41649121625 scopus 로고    scopus 로고
    • Multimodel projections of catchment-scale precipitation regime
    • Vidal JP, Wade SD. 2008. Multimodel projections of catchment-scale precipitation regime. Journal of Hydrology 353: 143-158.
    • (2008) Journal of Hydrology , vol.353 , pp. 143-158
    • Vidal, J.P.1    Wade, S.D.2
  • 34
    • 36148990318 scopus 로고    scopus 로고
    • A Bayesian method for multi-site stochastic data generation: dealing with non-concurrent and missing data, variable transformation and parameter uncertainty
    • Wang QJ. 2008. A Bayesian method for multi-site stochastic data generation: dealing with non-concurrent and missing data, variable transformation and parameter uncertainty. Environmental Modelling and Software 23: 412-421.
    • (2008) Environmental Modelling and Software , vol.23 , pp. 412-421
    • Wang, Q.J.1
  • 35
    • 33645749499 scopus 로고    scopus 로고
    • A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the River Thames, UK
    • Wilby RL, Harris I. 2006. A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the River Thames, UK. Water Resources Research 42.
    • (2006) Water Resources Research , vol.42
    • Wilby, R.L.1    Harris, I.2
  • 36
    • 27744608888 scopus 로고    scopus 로고
    • Guidelines for use of climate scenarios developed from statistical downscaling methods, Supporting material of the Intergovernmental Panel on Climate Change
    • available from the DDC of IPCC TGCIA, 27.
    • Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO. 2004. Guidelines for use of climate scenarios developed from statistical downscaling methods, Supporting material of the Intergovernmental Panel on Climate Change, available from the DDC of IPCC TGCIA, 27.
    • (2004)
    • Wilby, R.L.1    Charles, S.P.2    Zorita, E.3    Timbal, B.4    Whetton, P.5    Mearns, L.O.6
  • 37
    • 0032855811 scopus 로고    scopus 로고
    • From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches
    • Xu CY. 1999. From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches. Progress in Physical Geography 23: 229-249.
    • (1999) Progress in Physical Geography , vol.23 , pp. 229-249
    • Xu, C.Y.1


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