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Climate and hydrological models to assess the impact of climate change on hydrological regime: a review

  • Retinder Kour
  • Nilanchal PatelEmail author
  • Akhouri Pramod Krishna
Original Paper
  • 1.2k Downloads

Abstract

Quantitative knowledge about the impacts of climate change on the hydrological regime is essential in order to achieve meaningful insights to address various adverse consequences related to water such as water scarcity, flooding, drought, etc. General circulation models (GCMs) have been developed to simulate the present climate and to predict future climatic change. But, the coarse resolution of their outputs is inefficient to resolve significant regional scale features for assessing the effects of climate change on the hydrological regimes, thus restricting their direct implementation in hydrological models. This article reviews hierarchy and development of climate models from the early times, importance and inter-comparison of downscaling techniques and development of hydrological models. Also recent research developments regarding the evaluation of climate change impact on the hydrological regime have been discussed. The article also provides some suggestions to improve the effectiveness of modelling approaches involved in the assessment of climate change impact on hydrological regime.

Keywords

Climate model Hydrological model Downscaling technique General circulation model Climate change Hydrological regime 

Notes

Acknowledgments

The authors are highly grateful to the editor and anonymous reviewers for their insightful and valuable comments, which enabled us to improve the manuscript to the present state.

References

  1. Akhtar MK, Corzo GA, van Andel SJ, Jonoski A (2009) River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin. Hydrol Earth Syst Sci 13:1607–1618CrossRefGoogle Scholar
  2. Alexander MA, Scott JD, Mahoney K, Barsugli J (2013) Greenhouse gas-induced changes in summer precipitation over Colorado in NARCCAP regional climate models. J Clim 26:8690–8697CrossRefGoogle Scholar
  3. Allen M, Frame D, Kettleborough J, Stainforth D (2006) Model error in weather and climate forecasting. In: Predictability of weather and climate. Cambridge University Press, pp 391–427Google Scholar
  4. Alley WM (1984) On the treatment of evapotranspiration, soil moisture accounting, and aquifer recharge in monthly water balance models. Water Resour Res 20:1137–1149CrossRefGoogle Scholar
  5. Al-Zu’bi Y, Sheta A, Al-Zu’bi J (2010) Nile river flow forecasting based on Takagi-Sugeno fuzzy model. J Appl Sci 10:284–290CrossRefGoogle Scholar
  6. Anderegg WRL, Prall JW, Harold J, Schneider SH (2010) Expert credibility in climate change. Proc Natl Acad Sci 107:12107–12109CrossRefGoogle Scholar
  7. Andrews T, Gregory JM, Webb MJ, Taylor KE (2012) Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere–ocean climate models. Geophys Res Lett 39:L09712Google Scholar
  8. Angstrom A (1926) Energiezufuhr und temperatur auf verschiedenen Breitengraden. Gerlands Beitr Geophysik 15:1–13Google Scholar
  9. Annan JD, Hargreaves JC (2006) Using multiple observationally-based constraints to estimate climate sensitivity. Geophys Res Lett 33:L06704CrossRefGoogle Scholar
  10. Anthes RA, Warner TT (1978) Development of hydrodynamic models suitable for air pollution and other mesometerological studies. Mon Weather Rev 106:1045–1078CrossRefGoogle Scholar
  11. Armour KC, Bitz CM, Roe GH (2013) Time-varying climate sensitivity from regional feedbacks. J Clim 26:4518–4534CrossRefGoogle Scholar
  12. Arnell NW (1992) Factors controlling the effects of climate change on river flow regimes in a humid temperate environment. J Hydrol 132:321–342CrossRefGoogle Scholar
  13. Arrhenius S (1896) On the influence of carbonic acid in the air upon the temperature of the ground. Philos Mag 41:237–276CrossRefGoogle Scholar
  14. Azhar AH, Perera BJC (2011) Evaluation of reference evapotranspiration estimation methods under southeast Australian conditions. J Irrig Drain Eng 137:268–279CrossRefGoogle Scholar
  15. Bardossy A, Duckstein L, Bogardi I (1995) Fuzzy rule-based classification of atmospheric circulation patterns. Int J Climatol 15:1087–1097CrossRefGoogle Scholar
  16. Bardossy A, Stehlik J, Caspary HJ (2002) Automated objective classification of daily circulation patterns for precipitation and temperature downscaling based on optimized fuzzy rules. Clim Res 23:11–22CrossRefGoogle Scholar
  17. Benestad RE (2001) A comparison between two empirical downscaling strategies. Int J Climatol 21:1645–1668CrossRefGoogle Scholar
  18. Benestad RE (2002) Empirically downscaled multimodel ensemble temperature and precipitation scenarios for Norway. J Clim 21:3008–3027CrossRefGoogle Scholar
  19. Bernard L, Semmler W (eds) (2015) The oxford handbook of the macroeconomics of global warming. Oxford University Press, New YorkGoogle Scholar
  20. Beven KJ (1989) Changing ideas in hydrology: the case of physically based models. J Hydrol 105:157–172CrossRefGoogle Scholar
  21. Beven KJ (2001) Rainfall-runoff modelling: the primer. Wiley, ChichesterGoogle Scholar
  22. Bhunya PK, Berndtsson R, Ojha CSP, Mishra SK (2007) Suitability of gamma, chi-square, Weibull, and beta distributions as synthetic unit hydrographs. J Hydrol 334:28–38CrossRefGoogle Scholar
  23. Bocchiola D, Diolaiuti G, Soncini A, Mihalcea C, D’Agata C, Mayer C, Lambrecht A, Rosso R, Smiraglia C (2011) Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan. Hydrol Earth Syst Sci 15:2059–2075CrossRefGoogle Scholar
  24. Borah DK, Bera M, Xia R (2004) Storm event flow and sediment simulations in agricultural watersheds using DWSM. Trans ASAE 47:1539–1559CrossRefGoogle Scholar
  25. Botter G, Rinaldo A (2003) Scale effect on geomorphologic and kinematic dispersion. Water Resour Res 39:1286CrossRefGoogle Scholar
  26. Brooks N, Legrand M (2000) Dust variability over Northern Africa and rainfall in the Sahel. In: Linking climate change to land surface change. Kluwer Academic Publishers, Dordrecht/Boston/London, pp 1–25CrossRefGoogle Scholar
  27. Bryan K (1969) Climate and the ocean circulation III. The ocean model. Mon Weather Rev 97:806–827CrossRefGoogle Scholar
  28. Bryan K, Cox MD (1967) A numerical investigation of the oceanic general circulation. Tellus 19:54–80CrossRefGoogle Scholar
  29. Bryan K, Cox MD (1968a) A nonlinear model of an ocean driven by wind and differential heating: part I. Description of the three-dimensional velocity and density fields. J Atmos Sci 25:945–967CrossRefGoogle Scholar
  30. Bryan K, Cox MD (1968b) A nonlinear model of an ocean driven by wind and differential heating: part II. An analysis of the heat, vorticity and energy balance. J Atmos Sci 25:968–978CrossRefGoogle Scholar
  31. Budyko MI (1969) The effect of solar radiation variations on the climate of the earth. Tellus 21:611–619CrossRefGoogle Scholar
  32. Callendar GS (1938) The artificial production of carbon dioxide and its influence on temperature. Q J R Meteorol Soc 64:223–240CrossRefGoogle Scholar
  33. Candela A, Brigandi G, Aronica GT (2014) Estimation of synthetic flood design hydrographs using a distributed rainfall-runoff model coupled with a copula-based single storm rainfall generator. Nat Hazards Earth Syst Sci 14:1819–1833CrossRefGoogle Scholar
  34. Carreau J, Vrac M (2011) Stochastic downscaling of precipitation with neural network conditional mixture models. Water Resour Res 47:W10502CrossRefGoogle Scholar
  35. Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorog Atmos Phys 87:167–196CrossRefGoogle Scholar
  36. Chen DL, Chen YM (2003) Association between winter temperature in China and upper air circulation over East Asia revealed by canonical correlation analysis. Glob Planet Chang 37:315–325CrossRefGoogle Scholar
  37. Chen H, Guo J, Xiong W, Shenglian G, Xu CY (2010) Downscaling GCMs using the smooth support vector machine method to predict daily precipitation in the Hanjiang basin. Adv Atmos Sci 27:274–284CrossRefGoogle Scholar
  38. Chen J, Brissette FP, Leconte R (2011) Uncertainty of downscaling method in quantifying the impact of climate change on hydrology. J Hydrol 401:190–202CrossRefGoogle Scholar
  39. Chen J, Brissett FP, Chaumont D, Braun M (2013) Performance and uncertainty evaluation of empirical downscaling methods in quantifying the climate change impacts on hydrology over two North American river basins. J Hydrol 479:200–214CrossRefGoogle Scholar
  40. Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, New YorkGoogle Scholar
  41. Christensen NS, Lettenmaier DP (2007) A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado river basin. Hydrol Earth Syst Sci 11:1417–1434CrossRefGoogle Scholar
  42. Ciarapica L, Todini E (2002) TOPKAPI: a model for the representation of the rainfall-runoff process at different scales. Hydrol Process 16:207–229CrossRefGoogle Scholar
  43. Clark CO (1945) Storage and the unit hydrograph. Trans Am Soc Civ Eng 110:1419–1446Google Scholar
  44. Cleugh HA, Leuning R, Mu Q, Running SW (2007) Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens Environ 106:285–304CrossRefGoogle Scholar
  45. Colle BA, Wolfe JB, Steenburgh WJ, Kingsmill DE, Cox JAW, Shafer JC (2005) High-resolution simulations and microphysical validation of an orographic precipitation event over the Wasatch Mountains during IPEX IOP3. Mon Weather Rev 133:2947–2971CrossRefGoogle Scholar
  46. Collins WT (1939) Runoff distribution graphs from precipitation occurring in more than one time unit. Civ Eng 9:559–561Google Scholar
  47. Collins M, Knutti R, Arblaster J, Dufresne JL, Fichefet T, Friedlingstein P, Gao X, Gutowski Jr WJ, Johns T, Krinner G, Shongwe M, Tebaldi C, Weaver AJ, Wehner M (2013) Long-term climate change: projections, commitments and irreversibility. In: Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 1029–1136Google Scholar
  48. Corney S, Grose M, Bennett JC, White C, Katzfey J, McGregor J, Holz G, Bindoff NL (2013) Performance of downscaled regional climate simulations using a variable-resolution regional climate model: Tasmania as a test case. J Geophys Res Atmos 118:11936–11950CrossRefGoogle Scholar
  49. Darcy H (1856) Les Fontaines Publiques de la ville de Dijon. Dalmont, ParisGoogle Scholar
  50. Debreu L, Marchesiello P, Penven P, Cambon G (2012) Two-way nesting in split-explicit ocean models: algorithms, implementation and validation. Ocean Model 49–50:1–21CrossRefGoogle Scholar
  51. Deng X, Stull R (2005) A mesoscale analysis method for surface potential temperature in mountainous and coastal terrain. Mon Weather Rev 133:389–408CrossRefGoogle Scholar
  52. Deser C, Phillips A, Bourdette V, Teng H (2012) Uncertainty in climate change projections: the role of internal variability. Clim Dyn 38:527–546CrossRefGoogle Scholar
  53. Diallo I, Sylla MB, Giorgi F, Gaye AT, Camara M (2012) Multimodel GCM-RCM ensemble-based projections of temperature and precipitation over West Africa for the early 21st century. Int J Geophys. doi: 10.1155/2012/972896 Google Scholar
  54. Diaz-Nieto J, Wilby RL (2005) A comparison of statistical downscaling and climate change factor methods: impacts on low flows in the river Thames, United Kingdom. Clim Chang 69:245–268CrossRefGoogle Scholar
  55. Dibike YB, Coulibaly P (2006) Temporal neural networks for downscaling climate variability and extremes. Neural Netw 19:135–144CrossRefGoogle Scholar
  56. Djaman K, Balde AB, Sow A, Muller B, Irmak S, N’Diaye MK, Manneh B, Moukoumbi YD, Futakuchi K, Saito K (2015) Evaluation of sixteen reference evapotranspiration methods under sahelian conditions in the Senegal river valley. J Hydro Reg Stud 3:139–159CrossRefGoogle Scholar
  57. Dooge JCI (1959) A general theory of the unit hydrograph. J Geophys Res 64:241–256CrossRefGoogle Scholar
  58. Eagleson PS, Mejia-R R, March F (1966) Computation of optimum realizable unit hydrographs. Water Resour Res 2:755–764CrossRefGoogle Scholar
  59. Earth’s climate system today. http://web.bf.uni-lj.si/agromet/EarthsClimate_Web_Chapter.pdf. Accessed 30 March 2016
  60. Eden JM, Widmann M, Grawe D, Rast S (2012) Skill, correction, and downscaling of GCM-simulated precipitation. J Clim 25:3970–3984CrossRefGoogle Scholar
  61. Egger J (1975) A statistical-dynamical model of the zonally averaged steady-state of the general circulation of the atmosphere. Tellus 27:325–350CrossRefGoogle Scholar
  62. Ehret U, Zehe E, Wulfmeyer V, Warrach-Sagi K, Liebert J (2012) HESS Opinions “Should we apply bias correction to global and regional climate model data?”. Hydrol Earth Syst Sci 16:3391–3404CrossRefGoogle Scholar
  63. Elhakeem M, Papanicolaou AN (2009) Estimation of the runoff curve number via direct rainfall simulator measurements in the state of Iowa, USA. Water Resour Manag 23:2455–2473CrossRefGoogle Scholar
  64. Environment Canada. http://www.ec.gc.ca/ccmac-cccma/default.asp?n=1299529F-1. Accessed 21 September 2015
  65. Eriksson E (1968) Air-ocean-ice cap interactions in relation to climatic fluctuations and glaciation cycles. Meteorol Monogr 8:68–92Google Scholar
  66. Fan LJ, Yan ZW, Chen D, Fu CB (2015) Comparison between two statistical downscaling methods for summer daily rainfall in Chongqing, China. Int J Climatol 35:3781–3797CrossRefGoogle Scholar
  67. Fanning AF, Weaver AJ (1996) An atmospheric energy-moisture balance model: climatology, interpentadal climate change, and coupling to an ocean general circulation model. J Geophys Res 101:15111–15128CrossRefGoogle Scholar
  68. Fichefet T, Tricot C, Berger A, Gallee H, Marisat I (1989) Climate studies with a coupled atmosphere-upper-ocean-ice-sheet model. Philos Trans R Soc 329:249–261CrossRefGoogle Scholar
  69. Foujols MA, Caubel A. ENES. https://verc.enes.org/models/earthsystem-models/ipsl/ipslesm. Accessed 2 January 2015
  70. Fowler HJ, Kilsby CG, O’Connel PE, Burton A (2005) A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change. J Hydrol 308:50–66CrossRefGoogle Scholar
  71. Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 27:1547–1578CrossRefGoogle Scholar
  72. Freeze RA, Cherry JA (1979) Groundwater. Prentice-Hall, New JerseyGoogle Scholar
  73. Fuentes U, Heimann D (2000) An improved statistical-dynamical downscaling scheme and its application to the alpine precipitation climatology. Theor Appl Climatol 65:119–135CrossRefGoogle Scholar
  74. Fujihara Y, Tanaka K, Watanabe T, Nagano T, Kojiri T (2008) Assessing the impacts of climate change on the water resources of the Seyhan river basin in Turkey: use of dynamically downscaled data for hydrological simulations. J Hydrol 353:33–48CrossRefGoogle Scholar
  75. Gelati E, Christensen OB, Rasmussen PF, Rosbjerg D (2010) Downscaling atmospheric patterns to multi-site precipitation amounts in southern Scandinavia. Hydrol Res 41:193–210CrossRefGoogle Scholar
  76. Glahn HR, Lowry DA (1972) The use of Model Output Statistics (MOS) in objective weather forecasting. J Appl Meteorol 11:1203–1211CrossRefGoogle Scholar
  77. Gleick PH (1986) Methods for evaluating the regional hydrologic impacts of global climatic changes. J Hydrol 88:97–116CrossRefGoogle Scholar
  78. Gordon H, O’Farrell S, Collier M, Dix M, Rotstayn L, Kowalczyk E, Hirst T, Watterson I (2010) The CSIRO Mk3.5 climate model. CAWCR Technical Report No. 021, Melbourne, AustraliaGoogle Scholar
  79. Graham LP, Andreasson J, Carlsson B (2007a) Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods—a case study on the Lule river basin. Clim Chang 81:293–307CrossRefGoogle Scholar
  80. Graham LP, Hagemann S, Jaun S, Beniston M (2007b) On interpreting hydrological change from regional climate models. Clim Chang 81:97–122CrossRefGoogle Scholar
  81. Gray DM (1961) Synthetic unit hydrographs for small drainage areas. J Hydraul Div ASCE 87:33–54Google Scholar
  82. Green JSA (1970) Transfer properties of the large-scale eddies and the general circulation of the atmosphere. Q J R Meteorol Soc 96:157–185CrossRefGoogle Scholar
  83. Greene AM, Robertson AW, Smyth P, Triglia S (2011) Downscaling projections of Indian monsoon rainfall using a non-homogeneous hidden Markov model. Q J R Meteorol Soc 137:347–359CrossRefGoogle Scholar
  84. Gronas S (2005) Vilhelm Bjerknes’ vision for scientific weather prediction. In: The Nordic Seas: an integrated perspective. American Geophysical Union, Washington, DCGoogle Scholar
  85. Guyennon N, Romano E, Portoghese I, Salerno F, Calmanti S, Petrangeli AB, Tartari G, Copetti D (2013) Benefits from using combined dynamical-statistical downscaling approaches—lessons from a case study in the Mediterranean region. Hydrol Earth Syst Sci 17:705–720CrossRefGoogle Scholar
  86. Haas R, Pinto JG (2012) A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms. Geophys Res Lett 39:L23804CrossRefGoogle Scholar
  87. Haerter JO, Hagemann S, Moseley C, Piani C (2011) Climate model bias correction and the role of timescales. Hydrol Earth Syst Sci 15:1065–1079CrossRefGoogle Scholar
  88. Hall MCG, Cacuci DG, Schlesinger ME (1982) Sensitivity analysis of a radiative-convective model by the adjoint method. J Atmos Sci 39:2038–2050CrossRefGoogle Scholar
  89. Hanasaki N, Yamamoto T (2010) H08 manual user’s edition. National Institute for Environmental Studies, Tsukuba, Japan, p 76Google Scholar
  90. Hanna SR, Chang JC, Strimaitis DG (1993) Hazardous gas model evaluation with field observations. Atmos Environ 27A:2265–2285CrossRefGoogle Scholar
  91. Harris LM, Durran DR (2010) An idealized comparison of one-way and two-way grid nesting. Mon Weather Rev 138:2174–2187CrossRefGoogle Scholar
  92. Hattermann FF, Huang S, Burghoff O, Willems W, Osterle H, Buchner M, Kundzewicz Z (2014) Modelling flood damages under climate change conditions—a case study for Germany. Nat Hazards Earth Syst Sci 14:3151–3169CrossRefGoogle Scholar
  93. Hawkins E, Sutton R (2011) The potential to narrow uncertainty in projections of regional precipitation change. Clim Dyn 37:407–418CrossRefGoogle Scholar
  94. Hess P, Brezowsky H (1977) Katalog der Großwetterlagen Europas (1881–1976). Berichte des Deutschen Wetterdienstes 15:113Google Scholar
  95. Hewitson BC, Crane RG (1992) Large-scale atmospheric controls on local precipitation in tropical Mexico. Geophys Res Lett 19:1835–1838CrossRefGoogle Scholar
  96. Hewitson BC, Crane RG (1996) Climate downscaling: techniques and application. Clim Res 7:85–95CrossRefGoogle Scholar
  97. Hoffmeister G, Weisman RN (1977) Accuracy of synthetic hydrographs derived from representative basins. Hydrol Sci Bull 22:297–312CrossRefGoogle Scholar
  98. Honti M, Scheidegger A, Stamm C (2014) The importance of hydrological uncertainty assessment methods in climate change impact studies. Hydrol Earth Syst Sci 18:3301–3317CrossRefGoogle Scholar
  99. Horton RE (1933) The role of infiltration in the hydrologic cycle. Trans Am Geophys Union 14:446–460CrossRefGoogle Scholar
  100. Horton RE (1945) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geol Soc Am Bull 56:275–370CrossRefGoogle Scholar
  101. Hsiung J (1985) Estimates of global oceanic meridional heat transport. J Phys Oceanogr 15:1405–1413CrossRefGoogle Scholar
  102. Huang RX (2010) Ocean circulation: wind-driven and thermohaline processes. Cambridge University Press, Cambridge, UKGoogle Scholar
  103. Hulme M (2009) On the origin of ‘the greenhouse effect’: John Tyndall’s 1859 interrogation of nature. Weather 64:121–123CrossRefGoogle Scholar
  104. Huth R (2002) Statistical downscaling of daily temperature in Central Europe. J Clim 15:1731–1742CrossRefGoogle Scholar
  105. Huth R (2004) Sensitivity of local daily temperature change estimates to the selection of downscaling models and predictors. J Clim 17:640–652CrossRefGoogle Scholar
  106. IPCC Fifth assessment report (AR5) (2013) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New York, USA. https://www.ipcc.ch/report/ar5/wg1. Accessed 20 April 2016
  107. IPCC First assessment report (FAR) (1990) Climate change: the IPCC scientific assessment. Cambridge University Press, Cambridge. https://www.ipcc.ch/publications_and_data/publications_ipcc_first_assessment_1990_wg1.shtml. Accessed 20 April 2016
  108. IPCC Fourth assessment report (AR4) (2007) 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, New York, USA. https://www.ipcc.ch/publications_and_data/ar4/wg1/en/contents.html. Accessed 20 April 2016
  109. IPCC Second assessment report (SAR) (1996) Climate change 1995: the science of climate change. Contribution of working group I to the second assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. https://www.ipcc.ch/publications_and_data/publications_ipcc_supplementary_report_1992_wg1.shtml. Accessed 20 April 2016
  110. IPCC Third assessment report (TAR) (2001) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. http://www.grida.no/publications/other/ipcc_tar. Accessed 20 April 2016
  111. Ireson A, Makropoulos C, Maksimovic C (2006) Water resources modelling under data scarcity: coupling MIKE BASIN and ASM groundwater model. Water Resour Manag 20:567–590CrossRefGoogle Scholar
  112. Islam SA, Bari MA, Anwar AHMF (2014) Hydrologic impact of climate change on Murray Hotham catchment of Western Australia: a projection of rainfall-runoff for future water resources planning. Hydrol Earth Syst Sci 18:3591–3614CrossRefGoogle Scholar
  113. Jenson SK, Domingue JO (1988) Extracting topographic structure from digital elevation data for geographic information system analysis. Photogramm Eng Remote Sens 54:1593–1600Google Scholar
  114. Jha MK (2005) Hydrological modelling and climate change study in the Upper Mississippi river basin using SWAT. PhD Thesis, Iowa State University, USGoogle Scholar
  115. Joigneaux E, Alberic P, Pauwels H, Page C, Terray L, Bruand A (2011) Impact of climate change on groundwater point discharge: backflooding of karstic springs (Loiret, France). Hydrol Earth Syst Sci 15:2459–2470CrossRefGoogle Scholar
  116. Jones PD, Hulme M, Briffa KR (1993) A comparison of Lamb circulation types with an objective classification scheme. Int J Climatol 13:655–663CrossRefGoogle Scholar
  117. Jones RG, Noguer M, Hassell DC, Hudson D, Wilson SS, Jenkins GJ, Mitchell JFB (2004) Generating high resolution climate change scenarios using PRECIS. Met Office Hadley Centre, Exeter, UK, p 40Google Scholar
  118. Kankam-Yeboah K, Obuobie E, Amisigo B, Opoku-Ankomah Y (2013) Impact of climate change on streamflow in selected river basins in Ghana. Hydrol Sci J 58:773–788CrossRefGoogle Scholar
  119. Karamouz M, Nazif S, Falahi M (2012) Hydrology and hydroclimatology: principles and applications. CRC Press, New YorkCrossRefGoogle Scholar
  120. Kattenberg A, Giorgi F, Grassl H, Meehl GA, Mitchell JFB, Stouffer RJ, Tokioka T, Weaver AJ, Wigley TML (1996) Climate models—projections of future climate. In: Climate change 1995: the science of climate change. Cambridge University Press, Cambridge, p 285–357Google Scholar
  121. Kay AL, Davies HN, Bell VA, Jones RG (2009) Comparison of uncertainty sources for climate change impacts: flood frequency in England. Clim Chang 92:41–63CrossRefGoogle Scholar
  122. Khoi DN, Hang PTT (2015) Uncertainty assessment of climate change impacts on hydrology: a case study for the Central Highlands of Vietnam. In: Managing water resources under climate uncertainty. Springer International Publishing, Switzerland, p 31–44Google Scholar
  123. Kidson JW, Thompson CS (1998) A comparison of statistical and model-based downscaling techniques for estimating local climate variations. J Clim 11:735–753CrossRefGoogle Scholar
  124. King KW, Balogh JC (2008) Curve numbers for golf course watersheds. Trans ASABE 51:987–996CrossRefGoogle Scholar
  125. Kirkby MJ (1976) Tests of the random network model, and its application to basin hydrology. Earth Surf Process Landf 1:197–212CrossRefGoogle Scholar
  126. Klein WH, Lewis BM, Enger I (1959) Objective prediction of five-days mean temperatures during winter. J Meteorol 16:672–682CrossRefGoogle Scholar
  127. Knisel WG (ed) (1980) CREAMS: a field-scale model for chemical, runoff and erosion from agricultural management systems. Conservation Research Report No. 26, USDA, Washington DCGoogle Scholar
  128. Knutti R, Hegerl GC (2008) The equilibrium sensitivity of the earth’s temperature to radiation changes. Nat Geosci 1:735–743CrossRefGoogle Scholar
  129. Kurihara Y (1970) A statistical-dynamical model of the general circulation of the atmosphere. J Atmos Sci 27:847–870CrossRefGoogle Scholar
  130. Lamb HH (1972) British Isles weather types and a register of daily sequence of circulation patterns, 1861–1971. Geophys Mem 116Google Scholar
  131. Larsen MAD, Refsgaard JC, Drews M, Butts MB, Jensen KH, Christensen JH, Christensen OB (2014) Results from a full coupling of the HIRHAM regional climate model and the MIKE SHE hydrological model for a Danish catchment. Hydrol Earth Syst Sci 11:3005–3047CrossRefGoogle Scholar
  132. Li R, Wang SY, Gillies RR (2015) A combined dynamical and statistical downscaling technique to reduce biases in climate projections: an example for winter precipitation and snowpack in the western United States. Theor Appl Climatol. doi: 10.1007/s00704-015-1415-0 Google Scholar
  133. Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res 99:14415–14428CrossRefGoogle Scholar
  134. Linderson ML (2001) Objective classification of atmospheric circulation over southern Scandinavia. Int J Climatol 2:155–169CrossRefGoogle Scholar
  135. Lineykin PC (1955) On the determination of the thickness of the baroclinic layer of fluid heated uniformly above and non-uniformly from below. Dolk Akad Nauk USSR 101:461Google Scholar
  136. Liu XZ, Li JZ (2008) Application of SCS model in estimation of runoff from small watershed in Loess Plateau of China. Chin Geogr Sci 18:235–241CrossRefGoogle Scholar
  137. Lorenz EN (1963) Deterministic nonperiodic flow. J Atmos Sci 20:130–141CrossRefGoogle Scholar
  138. Lund IA (1963) Map-pattern classification by statistical methods. J Appl Meteorol 2:56–65CrossRefGoogle Scholar
  139. Lynch P (2008) The origins of computer weather prediction and climate modeling. J Comput Phys 227:3431–3444CrossRefGoogle Scholar
  140. Maidment DR, Olivera F, Calver A, Eatherall A, Fraczek W (1996) Unit hydrograph derived from a spatially distributed velocity field. Hydrol Process 10:831–844CrossRefGoogle Scholar
  141. Manabe S (1969a) Climate and the ocean circulation I. The atmospheric circulation and the hydrology of the earth’s surface. Mon Weather Rev 97:739–774CrossRefGoogle Scholar
  142. Manabe S (1969b) Climate and the ocean circulation II. The atmospheric circulation and the effect of heat transfer by ocean currents. Mon Weather Rev 97:775–805CrossRefGoogle Scholar
  143. Manabe S, Bryan K (1969) Climate calculations with a combined ocean–atmosphere model. J Atmos Sci 26:786–789CrossRefGoogle Scholar
  144. Manabe S, Strickler RF (1964) Thermal equilibrium of the atmosphere with a convective adjustment. J Atmos Sci 21:361–385CrossRefGoogle Scholar
  145. Manabe S, Wetherald RT (1967) Thermal equilibrium of the atmosphere with a given distribution of relative humidity. J Atmos Sci 24:241–259CrossRefGoogle Scholar
  146. Manabe S, Wetherald RT (1975) The effects of doubling the CO2 concentration on the climate of a general circulation model. J Atmos Sci 32:3–15CrossRefGoogle Scholar
  147. Manabe S, Wetherald RT (1980) On the distribution of climate change resulting from an increase in CO2 content of the atmosphere. J Atmos Sci 37:99–118CrossRefGoogle Scholar
  148. Manabe S, Smagorinsky J, Strickler RF (1965) Simulated climatology of a general circulation model with a hydrologic cycle. Mon Weather Rev 93:769–798CrossRefGoogle Scholar
  149. Maraun D, Wetterhall F, Ireson AM, Chandler RE, Kendon EJ, Widmann M, Brienen S, Rust HW, Sauter T, Themeßl M, Venema VKC, Chun KP, Goodess CM, Jones RG, Onof C, Vrac M, Thiele-Eich I (2010) Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 48:RG3003CrossRefGoogle Scholar
  150. Masood M, Yeh PJF, Hanasaki N, Takeuchi K (2014) Model study of the impacts of future climate change on the hydrology of Ganges-Brahmaputra-Meghna (GBM) basin. Hydrol Earth Syst Sci 11:5747–5791CrossRefGoogle Scholar
  151. Maurer EP, Adam JC, Wood AW (2009) Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol Earth Syst Sci 13:183–194CrossRefGoogle Scholar
  152. Mays LW, Taur CK (1982) Unit hydrographs via non-linear programing. Water Resour Res 18:744–752CrossRefGoogle Scholar
  153. McGuffie K, Henderson-Sellers A (2001) Forty years of numerical climate modelling. Int J Climatol 21:1067–1109CrossRefGoogle Scholar
  154. Mearns LO, Bukovsky MS, Leung R, Qian Y, Arritt R, Gutowski W, Takle ES, Biner S, Caya D, Correia J, Jones R, Sloan L, Snyder M (2013) Reply to “Comments on ‘The North American regional climate change assessment program: overview of phase I results’”. Bull Am Meteorol Soc 94:1077–1078CrossRefGoogle Scholar
  155. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy J, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections. In: 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 747–846Google Scholar
  156. Menard R (2010) Bias estimation. In: Data assimilation. Springer, Heidelberg, Germany, pp 113–135CrossRefGoogle Scholar
  157. Mendes D, Marengo JA (2010) Temporal downscaling: a comparison between artificial neural network and autocorrelation techniques over the Amazon basin in present and future climate change scenarios. Theor Appl Climatol 100:413–421CrossRefGoogle Scholar
  158. Middelkoop H, Daamen K, Gellens D, Grabs W, Kwadijk JCJ, Lang H, Parmet BWAH, Schadler B, Schulla J, Wilke K (2001) Impact of climate change on hydrological regimes and water resources management in the Rhine basin. Clim Chang 49:105–128CrossRefGoogle Scholar
  159. MIKE 11 a modelling system for rivers and channels. Reference manual 2009. DHI Water & Environment. http://euroaquae.tu-cottbus.de/hydroweb/Platform/Notes/Mike11_Reference.pdf. Accessed 18 March 2015
  160. MIKE 11 a modelling system for rivers and channels. Short introduction tutorial 2003. DHI Water & Environment. https://www.tu-braunschweig.de/Medien-DB/geooekologie/mike-11-short-introduction-tutorial.pdf. Accessed 3 March 2015
  161. MIKE 11 a modelling system for rivers and channels. User Guide 2007. DHI Water & Environment. http://www.hydroeurope.org/jahia/webdav/site/hydroeurope/shared/old/Teams-2011/team1/Manuals/MIKE11_UserManual.pdf. Accessed 15 March 2015
  162. Minville M, Brissette F, Leconte R (2008) Uncertainty of the impact of climate change on the hydrology of a Nordic watershed. J Hydrol 358:70–83CrossRefGoogle Scholar
  163. Mitchell JFB (1989) The greenhouse effect and climate change. Rev Geophys 27:115–139CrossRefGoogle Scholar
  164. Mitchell JFB, ManabeS, Meleshko V, Tokioka T (1990) Equilibrium climate change and its implications for the future. In: Climate change: the IPCC scientific assessment. Cambridge University Press, Cambridge, p 131–172Google Scholar
  165. Monteith JL (1995a) A reinterpretation of stomatal responses to humidity. Plant Cell Environ 18:357–364CrossRefGoogle Scholar
  166. Monteith JL (1995b) Accommodation between transpiring vegetation and the convective boundary layer. J Hydrol 166:251–263CrossRefGoogle Scholar
  167. Montgomery DC, Runger GC (1994) Applied statistics and probability for engineers. John Wiley & Sons, New YorkGoogle Scholar
  168. Mood AM, Graybill FA, Boes DC (1974) Introduction to the theory of statistics. McGraw Hill, TokyoGoogle Scholar
  169. Moore K, Pierson D, Pettersson K, Schneiderman E, Samuelsson P (2008) Effects of warmer world scenarios on hydrologic inputs to Lake Malaren, Sweden and implications for nutrient loads. Hydrobiologia 599:191–199CrossRefGoogle Scholar
  170. Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115:1781–1800CrossRefGoogle Scholar
  171. Muerth MJ, Gauvin St-Denis B, Ricard S, Velazquez JA, Schmid J, Minville M, Caya D, Chaumont D, Ludwig R, Turcotte R (2013) On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff. Hydrol Earth Syst Sci 17:1189–1204CrossRefGoogle Scholar
  172. Murphy J (1999) An evaluation of statistical and dynamical techniques for downscaling local climate. J Clim 12:2256–2284CrossRefGoogle Scholar
  173. Murphy J (2000) Prediction of climate change over Europe using statistical and dynamical downscaling techniques. Int J Climatol 20:489–501CrossRefGoogle Scholar
  174. Naden P (1992) Spatial variability in flood estimation for large catchments: the exploitation of channel network structure. Hydrol Sci J 37:53–71CrossRefGoogle Scholar
  175. Nash JE (1957) The form of the instantaneous unit hydrograph. Hydrol Sci Bull 3:114–121Google Scholar
  176. Nash JE (1959) Synthetic determination of unit hydrograph parameters. J Geophys Res 64:111–115CrossRefGoogle Scholar
  177. Ng HYF, Marsalek J (1992) Sensitivity of streamflow simulation to changes in climatic inputs. Nord Hydrol 23:257–272Google Scholar
  178. North GR (1975) Analytical solution to a simple climate model with diffusive heat transport. J Atmos Sci 32:1301–1307CrossRefGoogle Scholar
  179. North GR, Cahalan RF, Jr Coakley JA (1981) Energy balance climate models. Rev Geophys 19:91–121CrossRefGoogle Scholar
  180. Pacanowski RC, Dixon K, Rosati A (1993) The GFDL modular ocean model users guide. GFDL Ocean Group, Technical Report No. 2. Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, pp 46Google Scholar
  181. Peleg N, Shamir E, Georgakakos KP, Morin E (2015) A framework for assessing hydrological regime sensitivity to climate change in a convective rainfall environment: a case study of two medium-sized eastern Mediterranean catchments, Israel. Hydrol Earth Syst Sci 19:567–581CrossRefGoogle Scholar
  182. Penman HL (1948) Natural evaporation from open water, bare soil, and grass. Proc R Soc Lond 193:120–145CrossRefGoogle Scholar
  183. Perazzoli M, Pinheiro A, Kaufmann V (2013) Assessing the impact of climate change scenarios on water resources in southern Brazil. Hydrol Sci J 58:77–87CrossRefGoogle Scholar
  184. Pfutzner B, Lahmer W, Becker A (1997) ARC/EGMO-program system for GIS-based hydrological modelling. Short guide to version 2.0 (in German, unpublished). Postdam Institute for Climate Impact Research, GermanyGoogle Scholar
  185. Philander SG (ed) (2012) Encyclopedia of global warming and climate change. SAGE Publications, USAGoogle Scholar
  186. Phillips NA (1956) The general circulation of the atmosphere: a numerical experiment. Q J R Meteorol Soc 82:123–164CrossRefGoogle Scholar
  187. Pielke RS (2013) Comments on “The North American regional climate change assessment program: overview of phase I results”. Bull Am Meteorol Soc 94:1075–1077CrossRefGoogle Scholar
  188. Piniewski M, Voss F, Barlund I, Okruszko T, Kundzewicz ZW (2013) Effect of modelling scale on the assessment of climate change impact on river runoff. Hydrol Sci J 58:737–754CrossRefGoogle Scholar
  189. Pope VD, Gallani ML, Rowntree PR, Stratton RA (2000) The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Clim Dyn 16:123–146CrossRefGoogle Scholar
  190. Praskievicz S, Chang H (2009) A review of hydrological modelling of basin-scale climate change and urban development impacts. Prog Phys Geogr 33:650–671CrossRefGoogle Scholar
  191. Prentice IC, Farquhar GD, Fasham MJR, Goulden ML, Heimann M, Jaramillo VJ, KheshgiHS, Quéré CL, Scholes RJ, Wallace DWR (2001) The carbon cycle and atmospheric carbon dioxide. In: Climate change 2001: the scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 21–83Google Scholar
  192. Racsko P, Szeidl L, Semenov MA (1991) A serial approach to local stochastic weather models. Ecol Model 57:27–41CrossRefGoogle Scholar
  193. Rafferty JP (ed) (2012) The living earth: oceans and oceanography. Britannica Educational Publishing in association with Rosen Educational Services. New YorkGoogle Scholar
  194. Raje D, Priya P, Krishnan R (2014) Macroscale hydrological modelling approach for study of large scale hydrologic impacts under climate change in Indian river basins. Hydrol Process 28:1874–1889CrossRefGoogle Scholar
  195. Ramanathan V, Jr Coakley JA (1978) Climate modeling through radiative-convective models. Rev Geophys 16:465–489CrossRefGoogle Scholar
  196. Revelle R, Suess HE (1957) Carbon dioxide exchange between atmosphere and ocean and the question of an increase of atmospheric CO2 during the past decades. Tellus 9:18–27CrossRefGoogle Scholar
  197. Richards LA (1931) Capillary conduction of liquids through porous mediums. J Appl Phys 1:318–333Google Scholar
  198. Rinaldo A, Rodriguez-Iturbe I (1996) Geomorphological theory of the hydrological response. Hydrol Process 10:803–829CrossRefGoogle Scholar
  199. Robinson A, Stommel H (1959) The oceanic thermocline and the associated thermohaline circulation. Tellus 11:295–308Google Scholar
  200. Rodriguez-Iturbe I, Valdes JB (1979) The geomorphologic structure of hydrologic response. Water Resour Res 15:1409–1420CrossRefGoogle Scholar
  201. Rodwell MJ, Palmer TN (2007) Using numerical weather prediction to assess climate models. Q J R Meteorol Soc 133:129–146CrossRefGoogle Scholar
  202. Roeckner E, Bauml G, Bonaventura L, Brokopf R, Esch M, Giorgetta M, Hagemann S, Kirchner I, Kornblueh L, Manzini E, Rhodin A, Schlese U, Schulzweida U, Tompkins A (2003) The atmospheric general circulation model ECHAM5. Report No. 349. Max Planck Institute for Meteorology, Hamburg, GermanyGoogle Scholar
  203. Rosenthal WD, Srinivasan R, Arnold JG (1995) Alternative river management using a linked GIS-hydrology model. Trans ASAE 38:783–790CrossRefGoogle Scholar
  204. Rosso R (1984) Nash model relation to Horton order ratios. Water Resour Res 20:914–920CrossRefGoogle Scholar
  205. Rummukainen M (1997) Methods for statistical downscaling of GCM simulation. SWECLIM Report. Rossby Centre, SMHI, Norrkoping, SwedenGoogle Scholar
  206. Sachindra DA, Huang F, Barton A, Perera BJC (2014) Statistical downscaling of general circulation model outputs to precipitation—part 2: bias-correction and future projections. Int J Climatol 34:3282–3303CrossRefGoogle Scholar
  207. Saito Y, Hanasaki N (2012) H08 manual analyzer’s edition. National Institute for Environmental Studies, Tsukuba, Japan, p 81Google Scholar
  208. Sakamoto TT, Komuro Y, Nishimura T, Ishii M, Tatebe H, Shiogama H, Hasegawa A, Toyoda T, Mori M, Suzuki T, Imada Y, Nozawa T, Takata K, Mochizuki T, Ogochi K, Emori S, Hasumi H, Kimoto M (2012) MIROC4h—a new high-resolution atmosphere–ocean coupled general circulation model. J Meteorol Soc Jpn 90:325–359CrossRefGoogle Scholar
  209. Saltzman B (1978) A survey of statistical-dynamical models of the terrestrial climate. Adv Geophys 20:183–304CrossRefGoogle Scholar
  210. Saltzman B, Vernekar AD (1971) An equilibrium solution for the axially symmetric component of the earth’s macroclimate. J Geophys Res 76:1498–1524CrossRefGoogle Scholar
  211. Schimming CG, Mette R, Reiche EW, Schrautzer J, Wetzel H (1995) Nitrogen fluxes in a typical agroecosystem in Schleswig-Holstein- measurements, budgets, model validation. J Plant Nutr Soil Sci 158:313–322Google Scholar
  212. Schneider SH, Dickinson RE (1974) Climate modeling. Rev Geophys Space Phys 12:447–493CrossRefGoogle Scholar
  213. Schwartz SE (2004) Uncertainty requirements in radiative forcing of climate change. J Air Waste Manage Assoc 54:1351–1359CrossRefGoogle Scholar
  214. SCS (1957) Use of storm and watershed characteristics in synthetic hydrograph analysis and application. US Department of Agriculture, Washington, DCGoogle Scholar
  215. Sellers WD (1969) A global climate model based on the energy balance of the earth-atmosphere system. J Appl Meteorol 8:392–400CrossRefGoogle Scholar
  216. Semenov MA, Barrow EM (1997) Use of a stochastic weather generator in the development of climate change scenarios. Clim Chang 35:397–414CrossRefGoogle Scholar
  217. Sherman LK (1932) Streamflow from rainfall by the unit-graph method. Eng News Record 108:501–505Google Scholar
  218. Shrestha S (2014) Assessment of water availability under climate change scenarios in Thailand. J Earth Sci Clim Chang 5:1–7CrossRefGoogle Scholar
  219. Shrestha RR, Dibike YB, Prowse TD (2012) Modelling of climate-induced hydrologic changes in the Lake Winnipeg watershed. J Great Lakes Res 38:1–12CrossRefGoogle Scholar
  220. Singh PK, Mishra SK, Jain MK (2014) A review of the synthetic unit hydrograph: from the empirical UH to advanced geomorphological methods. Hydrol Sci J 59:239–261CrossRefGoogle Scholar
  221. Skeie RB, Berntsen T, Aldrin M, Holden M, Myhre G (2014) A lower and more constrained estimate of climate sensitivity using updated observations and detailed radiative forcing time series. Earth Syst Dyn 5:139–175CrossRefGoogle Scholar
  222. Smagorinsky J (1963) General circulation experiments with the primitive equations I. The basic experiment. Mon Weather Rev 91:99–164CrossRefGoogle Scholar
  223. Smagorinsky J, Manabe S, Jr Holloway JL (1965) Numerical results from a nine-level general circulation model of the atmosphere. Mon Weather Rev 93:727–768CrossRefGoogle Scholar
  224. Snyder FF (1938) Synthetic unit-graphs. Trans Am Geophys Union 19:447–454CrossRefGoogle Scholar
  225. Snyder WM (1955) Hydrograph analysis by the method of least squares. Am Soc Civ Eng Proc 81:1–24Google Scholar
  226. Soltani A, Hoogenboom G (2003) Minimum data requirements for parameter estimation of stochastic weather generators. Clim Res 25:109–119CrossRefGoogle Scholar
  227. Sood A, Muthuwatta L, McCartney M (2013) A SWAT evaluation of the effect of climate change on the hydrology of the Volta river basin. Water Int 38:297–311CrossRefGoogle Scholar
  228. Soulis KX, Valiantzas JD (2012) SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds—the two-CN system approach. Hydrol Earth Syst Sci 16:1001–1015CrossRefGoogle Scholar
  229. Steele-Dunne S, Lynch P, McGrath R, Semmler T, Wang S, Hanafin J, Nolan P (2008) The impacts of climate change on hydrology in Ireland. J Hydrol 356:28–45CrossRefGoogle Scholar
  230. Stocker TF, Wright DG, Mysak LA (1992) A zonally averaged, coupled ocean–atmosphere model for paleoclimate studies. J Clim 5:773–797CrossRefGoogle Scholar
  231. Stommel H, Arons AB (1960) On the abyssal circulation of the world ocean-II. An idealized model of the circulation pattern and amplitude in oceanic basins. Deep-Sea Res 6:217–233Google Scholar
  232. Stommel H, Veronis G (1957) Steady convective motion in a horizontal layer of fluid heated uniformly from above and cooled non-uniformly from below. Tellus 9:401–407CrossRefGoogle Scholar
  233. Stone PH (1972) A simplified radiative-dynamical model for the static stability of rotating atmospheres. J Atmos Sci 29:405–418CrossRefGoogle Scholar
  234. Stone PH, Yao MS (1987) Development of a two-dimensional zonally averaged statistical-dynamical model. Part II: the role of eddy momentum fluxes in the general circulation and their parameterization. J Atmos Sci 44:3769–3786CrossRefGoogle Scholar
  235. Stone PH, Yao MS (1990) Development of a two-dimensional zonally averaged statistical-dynamical model. Part III: the parameterization of the eddy fluxes of heat and moisture. J Clim 3:726–740CrossRefGoogle Scholar
  236. Tabari H, Grismer ME, Trajkovic S (2011) Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrig Sci 31:107–117CrossRefGoogle Scholar
  237. Tarboton DG (1994) Measurement and modeling of snow energy balance and sublimation from snow. International Snow Science Workshop, Snowbird, UtahGoogle Scholar
  238. Tarboton DG, Luce CH (1996) Utah energy balance snow accumulation and melt model (UEB). Computer model technical description and users guide. Utah Water Research Laboratory and USDA Forest Service Intermountain Research Station, USAGoogle Scholar
  239. Tarboton DG, Chowdhury TG, Jackson TH (1995) A spatially distributed energy balance snowmelt model, in biogeochemistry of seasonally snow-covered catchments. Proceedings of a Boulder Symposium. IAHS 228:141–155Google Scholar
  240. Taulis ME, Milke MW (2005) Estimation of WGEN weather generation parameters in arid climates. Ecol Model 184:177–191CrossRefGoogle Scholar
  241. Taye MT, Willems P, Block P (2015) Implications of climate change on hydrological extremes in the Blue Nile basin: a review. J Hydrol Reg Stud 4:280–293CrossRefGoogle Scholar
  242. Taylor AB, Schwarz HE (1952) Unit hydrograph lag and peak flow related to basin characteristics. Trans Am Geophys Union 33:235–246CrossRefGoogle Scholar
  243. Teutschbein C (2013) Hydrological modelling for climate change impact assessment. PhD Thesis, Stockholm University, SwedenGoogle Scholar
  244. Teutschbein C, Seibert J (2010) Regional climate models for hydrological impact studies at the catchment scale: a review of recent modelling strategies. Geogr Compass 4:834–860CrossRefGoogle Scholar
  245. Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods. J Hydrol 456–457:12–29CrossRefGoogle Scholar
  246. Teutschbein C, Seibert J (2013) Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions? Hydrol Earth Syst Sci 17:5061–5077CrossRefGoogle Scholar
  247. Thodsen H (2007) The influence of climate change on stream flow in Danish rivers. J Hydrol 333:226–238CrossRefGoogle Scholar
  248. Thomsen R (1990) Effect of climate variability and change in groundwater in Europe. Nord Hydrol 21:185–194Google Scholar
  249. Tian Y, Xu YP, Zhang XJ (2013) Assessment of climate change impacts on river high flows through comparative use of GR4J, HBV and Xinanjiang models. Water Resour Manag 27:2871–2888CrossRefGoogle Scholar
  250. Toggweiler JR, Key RM (2001) Thermohaline circulation. In: Encyclopedia of ocean sciences. Academic, London, pp 2941–2947CrossRefGoogle Scholar
  251. Toshiharu K (2005) Hydrological river basin environment assessment model (Hydro-BEAM). CRC Press, Watershed models, p 613Google Scholar
  252. Tramblay Y, Ruelland D, Somot S, Bouaicha R, Servat E (2013) High-resolution Med-CORDEX regional climate model simulations for hydrological impact studies: a first evaluation of the ALADIN-Climate model in Morocco. Hydrol Earth Syst Sci 17:3721–3739CrossRefGoogle Scholar
  253. Trigo R, Palutikof J (2001) Precipitation scenarios over Iberia: a comparison between direct GCM output and different downscaling techniques. J Clim 16:4422–4446CrossRefGoogle Scholar
  254. Trzaska S, Schnarr E (2014) A review of downscaling methods for climate change projections. United States Agency for International Development by Tetra Tech ARD, pp 1–42Google Scholar
  255. USACE (2000) Hydrological modeling system HEC-HMS: technical reference manual. US Army Corps of Engineers. Hydrologic Engineering Center, DavisGoogle Scholar
  256. Valipour M (2015) Comparative evaluation of radiation-based methods for estimation of potential evapotranspiration. J Hydrol Eng 20:04014068CrossRefGoogle Scholar
  257. Van den Hurk B, Hirschi M, Schar C, Lenderink G, van Meijgaard E, van Ulden A, Rockel B, Hagemann S, Graham P, Kjellstrom E, Jones R (2005) Soil control on runoff response to climate change in regional climate model simulations. J Clim 18:3536–3551CrossRefGoogle Scholar
  258. Varis O, Kajander T, Lemmela R (2004) Climate and water: from climate models to water resources management and vice versa. Clim Chang 66:321–344CrossRefGoogle Scholar
  259. VonStorch H, Zorita E, Cubasch U (1993) Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. J Clim 6:1161–1171CrossRefGoogle Scholar
  260. Vrac M, Drobinski P, Merlo A, Herrmann M, Lavaysse C, Li L, Somot S (2012) Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment. Nat Hazards Earth Syst Sci 12:2769–2784CrossRefGoogle Scholar
  261. Wang WC, Domoto GA (1974) The radiative effect of aerosols in the earth’s atmosphere. J Appl Meteorol 13:521–534CrossRefGoogle Scholar
  262. Warner TT, Peterson RA, Treadon RE (1997) A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction. Bull Am Meteorol Soc 78:2599–2617CrossRefGoogle Scholar
  263. Weaver AJ, Hughes TMC (1996) On the incompatibility of ocean and atmosphere models and the need for flux adjustments. Clim Dyn 12:141–170CrossRefGoogle Scholar
  264. Weaver AJ, Sarachik ES (1991) The role of mixed boundary conditions in numerical models of the ocean’s climate. J Phys Oceanogr 2:1470–1493CrossRefGoogle Scholar
  265. Weibull W (1939) The phenomenon of ruptures in solids. Proc R Swed Inst Eng Res 153:1–55Google Scholar
  266. Welander P (1959) An advective model of the ocean thermocline. Tellus 11:309–318CrossRefGoogle Scholar
  267. Wetherald RT, Manabe S (1972) Response of the joint ocean–atmosphere model to the seasonal variation of the solar radiation. Mon Weather Rev 100:42–59CrossRefGoogle Scholar
  268. White D, Richman M, Yarnal B (1991) Climate regionalization and rotation of principal components. Int J Climatol 11:1–25CrossRefGoogle Scholar
  269. Widmann M, Bretherton CS, Salathe EP (2003) Statistical precipitation downscaling over the Northwestern United States using numerically simulated precipitation as a predictor. J Clim 16:799–816CrossRefGoogle Scholar
  270. Wigley TML, Raper SCB (2002) Reasons for larger warming projections in the IPCC Third Assessment Report. J Clim 15:2945–2952CrossRefGoogle Scholar
  271. Wigley TML, Jones PD, Briffa KR, Smith G (1990) Obtaining sub-grid-scale information from coarse-resolution general circulation model output. J Geophys Res 95:1943–1953CrossRefGoogle Scholar
  272. Wigmosta MS, Burges SJ (1997) An adaptive modeling and monitoring approach to describe the hydrologic behavior of small catchments. J Hydrol 202:48–77CrossRefGoogle Scholar
  273. Wigmosta MS, Lettenmaier DP (1999) A comparison of simplified methods for routing topographically-driven subsurface flow. Water Resour Res 35:255–264CrossRefGoogle Scholar
  274. Wigmosta MS, Vail LW, Lettenmaier DP (1994) A distributed hydrology-vegetation model for complex terrain. Water Resour Res 30:1665–1679CrossRefGoogle Scholar
  275. Wilby RL, Wigley TML (1997) Downscaling general circulation model output: a review of methods and limitations. Pro Phys Geogr 21:530–548CrossRefGoogle Scholar
  276. Wilby RL, Wigley TML, Conway D, Jones PD, Hewitson BC, Main J, Wilks DS (1998) Statistical downscaling of general circulation model output: a comparison of methods. Water Resour Res 34:2995–3008CrossRefGoogle Scholar
  277. Wilby RL, Hay LE, Leavesley GH (1999) A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan river basin, Colorado. J Hydrol 225:67–91CrossRefGoogle Scholar
  278. Wilby RL, Dawson CW, Barrow EM (2002) SDSM—a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:145–157CrossRefGoogle Scholar
  279. Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods. Intergovernmental Panel on Climate Change (IPCC), task group on data and scenario support for impacts and climate analysis (TGICA). https://www.narccap.ucar.edu/doc/tgica-guidance-2004.pdf. Accessed 29 May 2016
  280. Wilks DS (1992) Adapting stochastic weather generation algorithms for climate change studies. Clim Chang 22:67–84CrossRefGoogle Scholar
  281. Wilks DS (1999a) Multisite downscaling of daily precipitation with a stochastic weather generator. Clim Res 11:125–136CrossRefGoogle Scholar
  282. Wilks DS (1999b) Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agric For Meteorol 93:153–169CrossRefGoogle Scholar
  283. Williams JR, Nicks AD, Arnold JG (1985) Simulator for water resources in rural basins. J Hydraul Eng 111:970–986CrossRefGoogle Scholar
  284. Xu CY (1999a) Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resour Manag 13:369–382CrossRefGoogle Scholar
  285. Xu CY (1999b) From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches. Pro Phys Geogr 23:229–249CrossRefGoogle Scholar
  286. Xu Z, Yang ZL (2015) A new dynamical downscaling approach with GCM bias corrections and spectral nudging. J Geophys Res Atmos 120:3063–3084CrossRefGoogle Scholar
  287. Xu Y, Gao X, Zhu Q, Zhang Y, Kang L (2014) Coupling a regional climate model and a distributed hydrological model to assess future water resources in Jinhua river basin, east China. J Hydrol Eng 20:04014054CrossRefGoogle Scholar
  288. Yang Z, Han D (2006) Derivation of unit hydrograph using a transfer function approach. Water Resour Res 42:W01501Google Scholar
  289. Yao MS, Stone PH (1987) Development of a two-dimensional zonally averaged statistical-dynamical model. Part I: the parameterization of moist convection and its role in the general circulation. J Atmos Sci 44:65–82CrossRefGoogle Scholar
  290. Yarnal B, Comrie AC, Frakes B, Brown DP (2001) Developments and prospects in synoptic climatology. Int J Climatol 21:1923–1950CrossRefGoogle Scholar
  291. Zeng XJ, Singh MG (1996) Approximation accuracy analysis of fuzzy systems as function approximators. IEEE Trans Fuzzy Syst 4:44–63CrossRefGoogle Scholar
  292. Zhang DL, Chang HR, Seaman NL, Warner TT, Fritsch JM (1986) A two-way interactive nesting procedure with variable terrain resolution. Mon Weather Rev 114:1330–1339CrossRefGoogle Scholar
  293. Zhao LL, Xia J, Xu CY, Wang Z, Sobkowiak L, Long C (2013) Evapotranspiration estimation methods in hydrological models. J Geogr Sci 23:359–369CrossRefGoogle Scholar

Copyright information

© Saudi Society for Geosciences 2016

Authors and Affiliations

  • Retinder Kour
    • 1
  • Nilanchal Patel
    • 1
    Email author
  • Akhouri Pramod Krishna
    • 1
  1. 1.Department of Remote SensingBirla Institute of Technology MesraRanchiIndia

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