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2018 | OriginalPaper | Buchkapitel

2. Selection of Global Climate Models

verfasst von : Komaragiri Srinivasa Raju, Dasika Nagesh Kumar

Erschienen in: Impact of Climate Change on Water Resources

Verlag: Springer Singapore

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Abstract

This chapter describes Global Climate Models (GCMs), limitations and uncertainties associated with the formulation of GCMs due to the effect of aerosols which are differently parameterized in GCMs, initial and boundary conditions for each GCM, parameters and model structure of GCMs, randomness, future greenhouse gas emissions, and scenarios leading to significant variability across model simulations of future climate. This chapter discussed the necessity of performance indicators for evaluating GCMs and explained mathematical description of these indicators. It also emphasized on normalization approach, weight computing techniques such as entropy and rating, ranking approaches, namely, compromise programming, cooperative game theory, TOPSIS, weighted average, PROMETHEE, and fuzzy TOPSIS. Spearman rank correlation which measures consistency in ranking pattern and group decision-making that aggregates individual rankings obtained by different techniques to form a single group preference is also part of this chapter. Ensembling methodology of GCMs is also discussed. Reader is expected to understand various uncertainties associated, role of decision-making techniques for ranking of GCMs by studying this chapter.

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Literatur
Zurück zum Zitat Anandhi A, Frei A, Pradhanang SM, Zion MS, Pierson DC, Schneiderman EM (2011) AR4 climate model performance in simulating snow water equivalent over Catskill Mountain Watersheds, New York, USA. Hydrol Process 25:3302–3311 Anandhi A, Frei A, Pradhanang SM, Zion MS, Pierson DC, Schneiderman EM (2011) AR4 climate model performance in simulating snow water equivalent over Catskill Mountain Watersheds, New York, USA. Hydrol Process 25:3302–3311
Zurück zum Zitat Bogardi JJ, Nachtnebel HP (eds) (1994) Multicriteria decision analysis in water resources management. In: International hydrological programme, UNESCO, Paris Bogardi JJ, Nachtnebel HP (eds) (1994) Multicriteria decision analysis in water resources management. In: International hydrological programme, UNESCO, Paris
Zurück zum Zitat Brans JP, Vincke P, Mareschal B (1986) How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res 24:228–238 Brans JP, Vincke P, Mareschal B (1986) How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res 24:228–238
Zurück zum Zitat Duckstein L, Tecle A, Nachnebel HP, Hobbs BF (1989) Multicriterion analysis of hydropower operation. J Energy Eng 115(3):132–153CrossRef Duckstein L, Tecle A, Nachnebel HP, Hobbs BF (1989) Multicriterion analysis of hydropower operation. J Energy Eng 115(3):132–153CrossRef
Zurück zum Zitat Fu G, Zhaofei L, Charles SP, Xu Z, Zhijun Y (2013) Score-based method for assessing the performance of GCMs: a case study of Southeastern Australia. J Geophys Res Atmos 118:4154–4167CrossRef Fu G, Zhaofei L, Charles SP, Xu Z, Zhijun Y (2013) Score-based method for assessing the performance of GCMs: a case study of Southeastern Australia. J Geophys Res Atmos 118:4154–4167CrossRef
Zurück zum Zitat Gershon M, Duckstein L (1983) Multiobjective approaches to river Basin planning. J Water Res Plann Manage 109(1):13–28. ASCE Gershon M, Duckstein L (1983) Multiobjective approaches to river Basin planning. J Water Res Plann Manage 109(1):13–28. ASCE
Zurück zum Zitat Gibbons JD (1971) Nonparametric statistical inference. McGraw-Hill, New York Gibbons JD (1971) Nonparametric statistical inference. McGraw-Hill, New York
Zurück zum Zitat Gleckler PJ, Taylor KE, Doutriaux C (2008) Performance metrics for climate models. J Geophys Res 113:D06104CrossRef Gleckler PJ, Taylor KE, Doutriaux C (2008) Performance metrics for climate models. J Geophys Res 113:D06104CrossRef
Zurück zum Zitat Goudie A, Cuff DJ (2001) Encyclopedia of global change: environmental change and human society. Oxford University Press Goudie A, Cuff DJ (2001) Encyclopedia of global change: environmental change and human society. Oxford University Press
Zurück zum Zitat Helsel DR, Hirsch RM (2002) Statistical methods in water resources, U.S. geological survey techniques of water resources investigations, Book 4, Chapter A3 Helsel DR, Hirsch RM (2002) Statistical methods in water resources, U.S. geological survey techniques of water resources investigations, Book 4, Chapter A3
Zurück zum Zitat Hughes DA, Mantel S, Mohobane T (2014) An assessment of the skill of downscaled GCM outputs in simulating historical patterns of rainfall variability in South Africa. Hydrol Res 45(1):134–147CrossRef Hughes DA, Mantel S, Mohobane T (2014) An assessment of the skill of downscaled GCM outputs in simulating historical patterns of rainfall variability in South Africa. Hydrol Res 45(1):134–147CrossRef
Zurück zum Zitat Johnson FM, Sharma A (2009) Measurement of GCM skill in predicting variables relevant for hydro climatological assessments. J Clim 22:4373–4382CrossRef Johnson FM, Sharma A (2009) Measurement of GCM skill in predicting variables relevant for hydro climatological assessments. J Clim 22:4373–4382CrossRef
Zurück zum Zitat Johnson F, Westra S, Sharma A, Pitman AJ (2011) An assessment of GCM skill in simulating persistence across multiple time scales. J Clim 24:3609–3623CrossRef Johnson F, Westra S, Sharma A, Pitman AJ (2011) An assessment of GCM skill in simulating persistence across multiple time scales. J Clim 24:3609–3623CrossRef
Zurück zum Zitat Kendal MG, Henderson-Sellers A (2013) A climate modelling primer. Wiley Kendal MG, Henderson-Sellers A (2013) A climate modelling primer. Wiley
Zurück zum Zitat Legates DR, McCabe GJ (1999) Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241CrossRef Legates DR, McCabe GJ (1999) Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241CrossRef
Zurück zum Zitat Macadam I, Pitman AJ, Whetton PH, Abramowitz G (2010) Ranking climate models by performance using actual values and anomalies: implications for climate change impact assessments. Geophys Res Lett 37:L16704CrossRef Macadam I, Pitman AJ, Whetton PH, Abramowitz G (2010) Ranking climate models by performance using actual values and anomalies: implications for climate change impact assessments. Geophys Res Lett 37:L16704CrossRef
Zurück zum Zitat Maximo CC, McAvaney BJ, Pitman AJ, Perkins SE (2008) Ranking the AR4 climate models over the Murray-Darling Basin using simulated maximum temperature minimum temperature and precipitation. Int J Climatol 28:1097–1112CrossRef Maximo CC, McAvaney BJ, Pitman AJ, Perkins SE (2008) Ranking the AR4 climate models over the Murray-Darling Basin using simulated maximum temperature minimum temperature and precipitation. Int J Climatol 28:1097–1112CrossRef
Zurück zum Zitat Morais DC, Almeida AT (2012) Group decision making on water resources based on analysis of individual rankings. Omega 40:42–52CrossRef Morais DC, Almeida AT (2012) Group decision making on water resources based on analysis of individual rankings. Omega 40:42–52CrossRef
Zurück zum Zitat Mujumdar PP, Nagesh Kumar D (2012) Floods in a changing climate: hydrologic modeling. International hydrology series. Cambridge University Press Mujumdar PP, Nagesh Kumar D (2012) Floods in a changing climate: hydrologic modeling. International hydrology series. Cambridge University Press
Zurück zum Zitat Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10(3):282–290CrossRef Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10(3):282–290CrossRef
Zurück zum Zitat Ojha R, Kumar DN, Sharma A, Mehrotra R (2014) Assessing GCM convergence for the Indian region using the variable convergence score. J Hydrol Eng 19(6):1237–1246CrossRef Ojha R, Kumar DN, Sharma A, Mehrotra R (2014) Assessing GCM convergence for the Indian region using the variable convergence score. J Hydrol Eng 19(6):1237–1246CrossRef
Zurück zum Zitat Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156:445–455CrossRefMATH Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156:445–455CrossRefMATH
Zurück zum Zitat Perkins SE, Pitman AJ, Sissonb SA (2013) Systematic differences in future 20 year temperature extremes in AR4 model projections over Australia as a function of model skill. Int J Climatol 33:1153–1167CrossRef Perkins SE, Pitman AJ, Sissonb SA (2013) Systematic differences in future 20 year temperature extremes in AR4 model projections over Australia as a function of model skill. Int J Climatol 33:1153–1167CrossRef
Zurück zum Zitat Pierce DW, Barnett TP, Santer BD, Gleckler PJ (2009) Selecting global climate models for regional climate change studies. Proc Natl Acad Sci USA 106:8441–8446CrossRef Pierce DW, Barnett TP, Santer BD, Gleckler PJ (2009) Selecting global climate models for regional climate change studies. Proc Natl Acad Sci USA 106:8441–8446CrossRef
Zurück zum Zitat Pomerol JC, Romero SB (2000) Multicriterion decision in management: principles and practice. Kluwer Academic, NetherlandsCrossRefMATH Pomerol JC, Romero SB (2000) Multicriterion decision in management: principles and practice. Kluwer Academic, NetherlandsCrossRefMATH
Zurück zum Zitat Raje D, Mujumdar PP (2010) Constraining uncertainty in regional hydrologic impacts of climate change: nonstationarity in downscaling. Water Resour Res 46:W07543CrossRef Raje D, Mujumdar PP (2010) Constraining uncertainty in regional hydrologic impacts of climate change: nonstationarity in downscaling. Water Resour Res 46:W07543CrossRef
Zurück zum Zitat Raju KS, Nagesh Kumar D (2014a) Multicriterion analysis in engineering and management. Prentice Hall of India, New Delhi Raju KS, Nagesh Kumar D (2014a) Multicriterion analysis in engineering and management. Prentice Hall of India, New Delhi
Zurück zum Zitat Raju KS, Nagesh Kumar D (2014b) Ranking of global climatic models for India using multicriterion analysis. Clim Res 60:103–117CrossRef Raju KS, Nagesh Kumar D (2014b) Ranking of global climatic models for India using multicriterion analysis. Clim Res 60:103–117CrossRef
Zurück zum Zitat Raju KS, Nagesh Kumar D (2015a) Ranking general circulation models for India using TOPSIS. J Water Clim Change 6(2):288–299CrossRef Raju KS, Nagesh Kumar D (2015a) Ranking general circulation models for India using TOPSIS. J Water Clim Change 6(2):288–299CrossRef
Zurück zum Zitat Raju KS, Nagesh Kumar D (2015b) Fuzzy approach to rank global climate models. In: Volume 415 of the series advances in intelligent systems and computing. Springer, pp. 53–61 Raju KS, Nagesh Kumar D (2015b) Fuzzy approach to rank global climate models. In: Volume 415 of the series advances in intelligent systems and computing. Springer, pp. 53–61
Zurück zum Zitat Raju KS, Nagesh Kumar D (2016) Selection of global climate models for India using cluster analysis. J Water Clim Change 7(4):764–774CrossRef Raju KS, Nagesh Kumar D (2016) Selection of global climate models for India using cluster analysis. J Water Clim Change 7(4):764–774CrossRef
Zurück zum Zitat Raju KS, Sonali P, Nagesh Kumar D (2017) Ranking of CMIP5-based global climate models for India using compromise programming. Theor Appl Climatol 128(3):563–574. doi:10.1007/s00704-015-1721-6 Raju KS, Sonali P, Nagesh Kumar D (2017) Ranking of CMIP5-based global climate models for India using compromise programming. Theor Appl Climatol 128(3):563–574. doi:10.​1007/​s00704-015-1721-6
Zurück zum Zitat Semenov M, Stratonovitch P (2010) Use of multi-model ensembles from global climate models for assessment of climate change impacts. Clim Res 41:1–14CrossRef Semenov M, Stratonovitch P (2010) Use of multi-model ensembles from global climate models for assessment of climate change impacts. Clim Res 41:1–14CrossRef
Zurück zum Zitat Sonali P, Nagesh Kumar D (2013) Review of trend detection methods and their application to detect temperature changes in India. J Hydrol 476:212–227CrossRef Sonali P, Nagesh Kumar D (2013) Review of trend detection methods and their application to detect temperature changes in India. J Hydrol 476:212–227CrossRef
Zurück zum Zitat Su F, Duan X, Chen D, Hao Z, Cuo L (2013) Evaluation of the global climate models in the CMIP5 over the Tibetan Plateau. J Clim 26:3187–3208CrossRef Su F, Duan X, Chen D, Hao Z, Cuo L (2013) Evaluation of the global climate models in the CMIP5 over the Tibetan Plateau. J Clim 26:3187–3208CrossRef
Zurück zum Zitat Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498CrossRef Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498CrossRef
Zurück zum Zitat Thompson RD, Perry AH (1997) Applied climatology: principles and practice. Psychology Press Thompson RD, Perry AH (1997) Applied climatology: principles and practice. Psychology Press
Zurück zum Zitat Wilby RL, Dawson CW, Barrow EM (2002) SDSM—a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:147–159CrossRef Wilby RL, Dawson CW, Barrow EM (2002) SDSM—a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:147–159CrossRef
Zurück zum Zitat Wilby RL, Troni J, Biot Y, Tedd L, Hewitson BC, Smith DM, Sutton RT (2009) Review of climate risk information for adaptation and development planning. Int J Climatol 29:1193–1215CrossRef Wilby RL, Troni J, Biot Y, Tedd L, Hewitson BC, Smith DM, Sutton RT (2009) Review of climate risk information for adaptation and development planning. Int J Climatol 29:1193–1215CrossRef
Zurück zum Zitat Wilks DS (2011) Statistical methods in the atmospheric sciences. International geophysics series. Academic Press, San Diego Wilks DS (2011) Statistical methods in the atmospheric sciences. International geophysics series. Academic Press, San Diego
Zurück zum Zitat Xu CY (1999) Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resour Manage 13:369–382CrossRef Xu CY (1999) Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resour Manage 13:369–382CrossRef
Zurück zum Zitat Knutti R, Abramowitz G, Collins M, Eyring V, Gleckler PJ, Hewitson B, Mearns L (2010) Good practice guidance paper on assessing and combining multi model climate projections. In: Stocker TF, Qin D, Plattner GK, Tignor M, Midgley PM (eds) Meeting report of the intergovernmental panel on climate change expert meeting on assessing and combining multi model climate projections. IPCC Working Group I Technical Support Unit, University of Bern, Bern, Switzerland Knutti R, Abramowitz G, Collins M, Eyring V, Gleckler PJ, Hewitson B, Mearns L (2010) Good practice guidance paper on assessing and combining multi model climate projections. In: Stocker TF, Qin D, Plattner GK, Tignor M, Midgley PM (eds) Meeting report of the intergovernmental panel on climate change expert meeting on assessing and combining multi model climate projections. IPCC Working Group I Technical Support Unit, University of Bern, Bern, Switzerland
Zurück zum Zitat Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 747–846 Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 747–846
Zurück zum Zitat Murphy J (2004) Quantification of modeling uncertainties in a large ensemble of climate change simulations. Nature 430:768–772CrossRef Murphy J (2004) Quantification of modeling uncertainties in a large ensemble of climate change simulations. Nature 430:768–772CrossRef
Zurück zum Zitat Perkins SE, Pitman AJ, Holbrook NJ, McAveney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature and precipitation over australia using probability density functions. J Clim 20:4356–4376CrossRef Perkins SE, Pitman AJ, Holbrook NJ, McAveney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature and precipitation over australia using probability density functions. J Clim 20:4356–4376CrossRef
Zurück zum Zitat Randall DA, Wood, RA, Bony S, Colman R, Fichefet T, Fyfe J, Kattsov V, Pitman A, Shukla J, Srinivasan J, Stouffer RJ, Sumi A, Taylor KE (2007) Climate models and their evaluation. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the IPCC. Cambridge University Press, Cambridge, UK Randall DA, Wood, RA, Bony S, Colman R, Fichefet T, Fyfe J, Kattsov V, Pitman A, Shukla J, Srinivasan J, Stouffer RJ, Sumi A, Taylor KE (2007) Climate models and their evaluation. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the IPCC. Cambridge University Press, Cambridge, UK
Metadaten
Titel
Selection of Global Climate Models
verfasst von
Komaragiri Srinivasa Raju
Dasika Nagesh Kumar
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6110-3_2