Ahmadi A, Moridi A, Lafdani E and Kianpisheh G 2014 Assessment of climate change impacts on rainfall using large scale climate variables and downscaling models – A case study; J. Earth Syst. Sci.
Ahmed K, Shahid S and Harun S B 2014 Spatial interpolation of climatic variables in a predominantly arid region with complex topography; Environment Systems and Decisions
Akaike H 1974 Information theory and an extension of the maximum likelihood principle; In: Proceedings 2nd International Symposium on Information Theory (eds) Petrov and Caski, pp. 267–281.
Akhtar M, Ahmad N and Booij M 2008 The impact of climate change on the water resources of Hindukush–Karakorum–Himalaya region under different glacier coverage scenarios; J. Hydrol.
Alamgir M, Shahid S, Hazarika M K, Nashrrullah S, Harin S B and Shamsudin S 2015 Analysis of meteorological drought pattern during different climatic and cropping seasons in Bangladesh; J. Am. Water Resourc. Assoc., doi: 10.1111/jawr.12276.
Alexandersson H 1986 A homogeneity test applied to precipitation data; J. Climatol.
Anandhi A, Srinivas V V, Nanjundiah R S and Nagesh Kumar D 2008 Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine; Int. J. Climatol.
Ashiq M W, Zhao C, Ni J and Akhtar M 2010 GIS-based high-resolution spatial interpolation of precipitation in mountain–plain areas of Upper Pakistan for regional climate change impact studies; Theoret. Appl. Climatol.
Cannon A J 2008 Probabilistic multisite precipitation downscaling by an expanded Bernoulli–Gamma density network; J. Hydrometeor.
Chadwick R, Coppola E and Giorgi F 2011 An artificial neural network technique for downscaling GCM outputs to RCM spatial scale; Nonlin. Process. Geophys.
Chen Y N and Xu Z X 2005 Plausible impact of global climate change on water resources in the Tarim River Basin; Sci. China Ser D, Earth Sci.
Chiew F H S 2006 Estimation of rainfall elasticity of streamflow in Australia; Hydrol. Sci. J.
Chu J T, Xia J, Xu C Y and Singh V P 2010 Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China; Theoret. Appl. Climatol.
Dawson C W and Wilby R L 2001 Hydrological modelling using artificial neural networks; Progr. Phys. Geogr.
Firat M, Dikbas F, Koç A C and Gungor M 2010 Missing data analysis and homogeneity test for Turkish precipitation series; Sadhana
Gaitan C, Hsieh W and Cannon A 2014 Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada; Clim. Dyn.
Gaitan C, Hsieh W, Cannon A and Gachon P 2013 Evaluation of linear and non-linear downscaling methods in terms of daily variability and climate indices: Surface temperature in southern Ontario and Quebec, Canada; Atmos.-Ocean.
Gardner M W and Dorling S R 1998 Artificial neural networks (the multilayer perceptron) – A review of applications in the atmospheric sciences; Atmos. Environ.
Goyal M K and Ojha C S P 2012 Downscaling of surface temperature for lake catchment in an arid region in India using linear multiple regression and neural networks; Int. J. Climatol.
Goyal M, Ojha C and Burn D 2011 Nonparametric statistical downscaling of temperature, precipitation, and evaporation in a semiarid region in India; J. Hydrol. Eng.
Goyal M, Burn D and Ojha C S P 2012 Evaluation of machine learning tools as a statistical downscaling tool: Temperatures projections for multi-stations for Thames River Basin, Canada; Theoret. Appl. Climatol.
Groisman P Y, Karl T R, Easterling D R, Knight R W, Jameson P F, Hennessy K J, Suppiah R, Page C M, Wibig J, Fortuniak K, Razuvaev V N, Douglas A, Forland E and Zhai P M 1999 Changes in the probability of heavy precipitation: Important indicators of climatic change; Clim. Change
Guo J, Chen H, Xu C -Y, Guo S and Guo J 2012 Prediction of variability of precipitation in the Yangtze River Basin under the climate change conditions based on automated statistical downscaling; Stochastic Environ. Res. Risk Assess.
Hannachi A, Jolliffe I T and Stephenson D B 2007 Empirical orthogonal functions and related techniques in atmospheric science: A review; Int. J. Climatol.
Harpham C and Dawson C W 2006 The effect of different basis functions on a radial basis function network for time series prediction: A comparative study; Neurocomputing
Hashmi M Z, Shamseldin A Y and Melville B W 2011 Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP); Environmental Modelling & Software
Haylock M R, Cawley G C, Harpham C, Wilby R L and Goodess C M 2006 Downscaling heavy precipitation over the United Kingdom: A comparison of dynamical and statistical methods and their future scenarios; Int. J. Climatol.
Hosseinzadeh Talaee P, Kouchakzadeh M and Shifteh B 2014 Homogeneity analysis of precipitation series in Iran; Theoret. Appl. Climatol.
Hsieh W W 2009 Machine learning methods in the environmental sciences: Neural networks and kernels; Cambridge University Press.
Hu Y, Maskey S and Uhlenbrook S 2013 Downscaling daily precipitation over the Yellow River source region in China: A comparison of three statistical downscaling methods; Theoret. Appl. Climatol.
Huth R, Kliegrova S and Metelka L 2008 Non-linearity in statistical downscaling: Does it bring an improvement for daily temperature in Europe? Int. J. Climatol.
Kajornrit J, Wong K and Fung C 2012 Estimation of missing precipitation records using modular artificial neural networks; In: Neural Information Processing (eds) Huang T, Zeng Z, Li C and Leung C, Springer–Berlin Heidelberg, pp. 52–59.
Kannan S and Ghosh S 2013 A nonparametric kernel regression model for downscaling multisite daily precipitation in the Mahanadi basin; Water Resourc. Res.
Kannan S and Ghosh S 2011 Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output; Stoch. Environ. Res. Risk Assess.
Lins H, Shiklomanov I and Stakhiv E 1990 Hydrology and water resources; In: Climate Change, the IPCC Scientific Assessment (eds) McTegart W J G and Griffiths D C, IPCC WG Report, WMO/UNEP. Ch. 4, pp. 1–42.
Liu Z, Xu Z, Charles S P, Fu G and Liu L 2011 Evaluation of two statistical downscaling models for daily precipitation over an arid basin in China; Int. J. Climatol.
Mahmood R and Babel M 2013 Evaluation of SDSM developed by annual and monthly sub-models for downscaling temperature and precipitation in the Jhelum basin, Pakistan and India; Theoret. Appl. Climatol.
Malinowski E R 1977 Determination of the number of factors and the experimental error in a data matrix; Anal. Chem.
Maraun D, Wetterhall F, Ireson A M, Chandler R E, Kendon E J, Widmann M, Brienen S, Rust H W, Sauter T, Themeßl M, Venema V K C, Chun K P, Goodess C M, Jones R G, Onof C, Vrac M and Thiele-Eich I 2010 Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user; Rev. Geophys.
Maurer E P and Hidalgo H G 2008 Utility of daily vs. monthly large-scale climate data: An intercomparison of two statistical downscaling methods; Hydrol. Earth Syst. Sci.
McLachlan G J and Krishnan T 1997 The EM algorithm and extensions; Wiley, New York.
Mehrotra D and Mehrotra R 1995 Climate change and hydrology with emphasis on the Indian subcontinent; Hydrol. Sci. J./Journal Des Sciences Hydrologiques
Mendes D and Marengo J 2010 Temporal downscaling: A comparison between artificial neural network and autocorrelation techniques over the Amazon Basin in present and future climate change scenarios; Theoret. Appl. Climatol.
Middelkoop H, Daamen K and Gellens D 2001 Impact of climate change on hydrological regimes and water resources management in the Rhine basin; Climatic Change
Najafi M R, Moradkhani H and Wherry S A 2010 Statistical downscaling of precipitation using machine learning with optimal predictor selection; J. Hydrol. Eng.
Ng S K and McLachlan G J 2004 Using the EM algorithm to train neural networks: Misconceptions and a new algorithm for multiclass classification; Neural Networks, IEEE Trans.
Pervez M S and Henebry G M 2014 Projections of the Ganges–Brahmaputra precipitation – Downscaled from GCM predictors; J. Hydrol.
Pour S H, Harun S B and Shahid S 2014 Genetic programming for the downscaling of extreme rainfall events on the East Coast of Peninsular Malaysia; Atmosphere
Rissanen J 1978 Modelling by shortest data description; Automatica
Rodrigo F S 2002 Changes in climate variability and seasonal rainfall extremes: A case study from San Fernando (Spain), 1821–2000; Theor. Appl. Climatol.
Sachindra D A, Huang F, Barton A and Perera B J C 2014 Statistical downscaling of general circulation model outputs to precipitation – part 1: Calibration and validation; Int. J. Climatol.
Salvi K, Kannan S and Ghosh S 2013 High-resolution multisite daily rainfall projections in India with statistical downscaling for climate change impacts assessment; J. Geophys. Res.: Atmos.
Samadi S, Carbone G J, Mahdavi M, Sharifi F and Bihamta M R 2012 Statistical downscaling of climate data to estimate streamflow in a semi-arid catchment; Hydrol. Earth Syst. Sci. Discuss.
Samadi S, Carbone G, Mahdavi M, Sharifi F and Bihamta M R 2013 Statistical downscaling of river runoff in a semi-arid catchment; Water Resour. Manag.
(1) 117– 136.
Santos M and Fragoso M 2013 Precipitation variability in northern Portugal: Data homogeneity assessment and trends in extreme precipitation indices; Atmos. Res.
Şen Z, Alsheikh A L, Alamoud A S M, Al-Hamid A A, El-Sebaay A S and Abu-Risheh A W 2012 Quadrangle downscaling model and water harvesting in arid regions: Riyadh case; J. Irrig. Drain. Eng.
(10) 918– 923.
Shahid S 2011 Trends in extreme rainfall events of bangladesh; Theoret. Appl. Climatol.
Sohn S J, Ahn J B and Tam C Y 2013 Six month-lead downscaling prediction of winter to spring drought in South Korea based on a multimodel ensemble; Geophys. Res. Lett.
Souvignet M and Heinrich J 2011 Statistical downscaling in the arid central Andes: Uncertainty analysis of multi-model simulated temperature and precipitation; Theoret. Appl. Climatol.
Su B D, Jiang T and Jin W B 2006 Recent trends in observed temperature and precipitation extremes in the Yangtze River basin, China; Theor. Appl. Climatol.
Syed F S, Iqbal W, Syed A and Rasul G 2014 Uncertainties in the regional climate models simulations of South- Asian summer monsoon and climate change; Clim. Dyn.
Tareghian R and Rasmussen P F 2013 Statistical downscaling of precipitation using quantile regression; J. Hydrol.
Tripathi S, Srinivas V V and Nanjundiah R S 2006 Downscaling of precipitation for climate change scenarios: A support vector machine approach; J. Hydrol.
Tsidu G M 2012 High-resolution monthly rainfall database for ethiopia: Homogenization, reconstruction, and gridding; J. Climate
Valle S, Li W and Qin S J 1999 Selection of the number of principal components: The variance of the reconstruction error criterion with a comparison to other methods; Ind. Eng. Chem. Res.
Von Storch H 1999 On the use of “inflation” in statistical downscaling; J. Climate
Wang X J, Zhang J Y, Shahid S, Guan E H, Wu Y X, Gao J and He R M 2014 Adaptation to climate change impacts on water demand; Mitigation and Adaptation Strategies for Global Change, doi: 10.1007/s11027-014-9571-6.
Wang X J, Zhang J Y and Yang Z F 2013 Historic water consumptions and future management strategies for Haihe River basin of northern China; Mitigation and Adaptation Strategies for Global Change, doi: 10.1007/s11027-013-9496-5.
Wetterhall F, Bárdossy A, Chen D, Halldin S and Xu C Y 2006 Daily precipitation-downscaling techniques in three Chinese regions; Water Resour. Res.
Wilby R 1998 Statistical downscaling of daily precipitation using daily airflow and seasonal teleconnection indices; Clim. Res.
Wilby R L, Dawson C W and Barrow E M 2002 SDSM – a decision support tool for the assessment of regional climate change impacts; Environmental Modelling & Software
Wilby R, Charles S, Zorita E, Timbal B, Whetton P and Mearns L 2004 Guidelines for use of climate scenarios developed from statistical downscaling methods; www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf.
Zhang L, Ma Z M and Kang S Z 2008 Analysis of impacts of climate variability and human activity on stream flow for a river basin in arid region of northwest China; J. Hydrol.