A non-linear and non-stationary perspective for downscaling mean monthly temperature: a wavelet coupled second order Volterra model
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Vinit Sehgal | R. Maheswaran | Rakesh Khosa | Venkataramana Sridhar | V. Sridhar | R. Khosa | R. Maheswaran | V. Sehgal | A. Lakhanpal | Anchit Lakhanpal
[1] Lior Rokach,et al. Data Mining And Knowledge Discovery Handbook , 2005 .
[2] P. Whetton,et al. Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods , 2004 .
[3] Dong Wang,et al. Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales , 2011, Entropy.
[4] Subimal Ghosh,et al. Statistical downscaling of GCM simulations to streamflow using relevance vector machine , 2008 .
[5] L. S. Rathore,et al. Operational model for forecasting location specific quantitative precipitation and probability of precipitation over India , 2004 .
[6] Alex J. Cannon,et al. Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models , 2002 .
[7] Rezaul K. Chowdhury,et al. Statistical downscaling of rainfall: a non-stationary and multi-resolution approach , 2016, Theoretical and Applied Climatology.
[8] Raj Acharya,et al. An information theoretic approach for analyzing temporal patterns of gene expression , 2003, Bioinform..
[9] Chutimet Srinilta,et al. Statistical Downscaling for Rainfall and Temperature Prediction in Thailand , 2011 .
[10] I. Segal. A Note on the Concept of Entropy , 1960 .
[11] Chie-Ming Chou,et al. On-line estimation of unit hydrographs using the wavelet-based LMS algorithm / Estimation en ligne des hydrogrammes unitaires grâce à l'algorithme des moindres carrés moyens à base d'ondelettes , 2002 .
[12] E. Wood,et al. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching , 2010 .
[13] A. K. Gosain,et al. Dynamic coupling of support vector machine and K-nearest neighbour for downscaling daily rainfall , 2015 .
[14] Rezaul K. Chowdhury,et al. Statistical downscaling of multi‐site daily rainfall in a South Australian catchment using a Generalized Linear Model , 2014 .
[15] E. Hertig,et al. A novel approach to statistical downscaling considering nonstationarities: application to daily precipitation in the Mediterranean area , 2013 .
[16] J. Adamowski. River flow forecasting using wavelet and cross‐wavelet transform models , 2008 .
[17] Sheng Chen,et al. Orthogonal least squares methods and their application to non-linear system identification , 1989 .
[18] Ashish Pandey,et al. Statistical downscaling of temperature using three techniques in the Tons River basin in Central India , 2015, Theoretical and Applied Climatology.
[19] Yan-Fang Sang,et al. A review on the applications of wavelet transform in hydrology time series analysis , 2013 .
[20] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[21] Rao S. Govindaraju. Bayesian Learning and Relevance Vector Machines for Hydrologic Applications (keynote speech of the session) , 2005, IICAI.
[22] G. Lerman,et al. Variational data assimilation via sparse regularisation , 2013, 1306.1592.
[23] D. G. Regulwar,et al. Assessment of Climate Change for Precipitation and Temperature Using Statistical Downscaling Methods in Upper Godavari River Basin, India , 2016 .
[24] Vinit Sehgal,et al. Stratified drought analysis using a stochastic ensemble of simulated and in-situ soil moisture observations , 2017 .
[25] Ximing Cai,et al. Assessing the regional variability of GCM simulations , 2009 .
[26] Subimal Ghosh,et al. A nonparametric kernel regression model for downscaling multisite daily precipitation in the Mahanadi basin , 2013 .
[27] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[28] R. Maheswaran,et al. Wavelet–Volterra coupled model for monthly stream flow forecasting , 2012 .
[29] D.M. Mount,et al. An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Vahid Nourani,et al. A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling , 2009 .
[31] V. V. Srinivas,et al. Downscaling of precipitation for climate change scenarios: A support vector machine approach , 2006 .
[32] Manish Kumar Goyal,et al. Downscaling of surface temperature for lake catchment in an arid region in India using linear multiple regression and neural networks , 2012 .
[33] S. Hagemann,et al. Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models , 2010 .
[34] Vinit Sehgal,et al. Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India , 2013 .
[35] Fuchun Huang,et al. Statistical downscaling of general circulation model outputs to precipitation , 2012 .
[36] Vinit Sehgal,et al. Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting , 2014, Water Resources Management.
[37] C. Piani,et al. Statistical bias correction for daily precipitation in regional climate models over Europe , 2010 .
[38] C. Torrence,et al. A Practical Guide to Wavelet Analysis. , 1998 .
[39] Abdul A. Khan,et al. Comparison of BIAS correction techniques for GPCC rainfall data in semi-arid climate , 2016, Stochastic Environmental Research and Risk Assessment.
[40] Shobha Muthukumaran,et al. Impact of climate change on urban heat island effect and extreme temperatures: a case‐study , 2016 .
[41] D. Labat,et al. Rainfall-runoff relations for karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution analyses. , 2000 .
[42] T. Wigley,et al. Obtaining sub-grid-scale information from coarse-resolution general circulation model output , 1990 .
[43] Ankit Agarwal,et al. Hydrologic regionalization using wavelet-based multiscale entropy method , 2015 .
[44] R. Khosa,et al. Wavelets-based non-linear model for real-time daily flow forecasting in Krishna River , 2013 .
[45] F. Acar Savaci,et al. Continuous time wavelet entropy of auditory evoked potentials , 2010, Comput. Biol. Medicine.
[46] P. P. Mujumdar,et al. Future rainfall scenario over Orissa with GCM projections by statistical downscaling , 2006 .
[47] K. Schilling,et al. Effect of heterogeneity on spatiotemporal variations of groundwater level in a bounded unconfined aquifer , 2014, Stochastic Environmental Research and Risk Assessment.
[48] Lukas Gudmundsson,et al. Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods , 2012 .
[49] E. Foufoula‐Georgiou,et al. Model for multiscale disaggregation of spatial rainfall based on coupling meteorological and scaling descriptions , 1996 .
[50] R. Toumi,et al. The limitations of bias correcting regional climate model inputs , 2013 .
[51] Francisco Azuaje,et al. Machaon CVE: cluster validation for gene expression data , 2003, Bioinform..
[52] Rathinasamy Maheswaran,et al. Comparative study of different wavelets for hydrologic forecasting , 2012, Comput. Geosci..
[53] Subimal Ghosh,et al. High‐resolution multisite daily rainfall projections in India with statistical downscaling for climate change impacts assessment , 2013 .
[54] Ravi S. Nanjundiah,et al. Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine , 2008 .
[55] P. Coulibaly,et al. Downscaling Precipitation and Temperature with Temporal Neural Networks , 2005 .
[56] Gavin C. Cawley,et al. Statistical downscaling with artificial neural networks , 2003, ESANN.
[57] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] D. Maraun. Reply to “Comment on ‘Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue’” , 2013 .
[59] Ravi S. Nanjundiah,et al. Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine , 2009 .
[60] Ping Wang,et al. Multiscale characteristics of the rainy season rainfall and interdecadal decaying of summer monsoon in North China , 2003 .
[61] D. A. Sachindra,et al. Potential improvements to statistical downscaling of general circulation model outputs to catchment streamflows with downscaled precipitation and evaporation , 2015, Theoretical and Applied Climatology.
[62] V. V. Srinivas,et al. Multi‐site downscaling of maximum and minimum daily temperature using support vector machine , 2014 .
[63] Paulin Coulibaly,et al. Wavelet analysis of variability in annual Canadian streamflows , 2004 .
[64] Mohammad Najafi,et al. Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection , 2011 .
[65] Robin Chadwick,et al. An artificial neural network technique for downscaling GCM outputs to RCM spatial scale , 2011 .
[66] Michalis Vazirgiannis,et al. On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.
[67] G H Ball,et al. A clustering technique for summarizing multivariate data. , 1967, Behavioral science.
[68] D. A. Sachindra,et al. Statistical downscaling of general circulation model outputs to precipitation—part 2: bias‐correction and future projections , 2014 .
[69] C. Dhanya,et al. Downscaling of Precipitation in Mahanadi Basin , India , 2013 .
[70] C. Dhanya,et al. Downscaling of Precipitation in Mahanadi Basin, India Using Support Vector Machine, K-Nearest Neighbour and Hybrid of Support Vector Machine with K-Nearest Neighbour , 2016 .
[71] Taha B. M. J. Ouarda,et al. Automated regression-based statistical downscaling tool , 2008, Environ. Model. Softw..
[72] Vinit Sehgal,et al. Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models , 2014, Water Resources Management.
[73] T. B. M. J. Ouarda,et al. Comparison of transfer functions in statistical downscaling models for daily temperature and precipitation over Canada , 2012, Stochastic Environmental Research and Risk Assessment.
[74] Aslak Grinsted,et al. Nonlinear Processes in Geophysics Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series , 2022 .
[75] Vinit Sehgal,et al. Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling , 2018 .
[76] J. Schmidt,et al. Application of wavelet analysis for monitoring the hydrologic effects of dam operation: Glen Canyon Dam and the Colorado River at Lees Ferry, Arizona , 2005 .
[77] J. Suykens. Nonlinear modelling and support vector machines , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).
[78] S. Pryor,et al. Downscaling temperature and precipitation: a comparison of regression‐based methods and artificial neural networks , 2001 .
[79] O. Kisi,et al. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting , 2007 .
[80] H. Tao,et al. Simulated and projected climate extremes in the Tarim River Basin using the regional climate model CCLM , 2015, Stochastic Environmental Research and Risk Assessment.
[81] Sangdan Kim,et al. Wavelet analysis of precipitation variability in northern California, U.S.A. , 2004 .
[82] Okan Fistikoglu,et al. Statistical Downscaling of Monthly Precipitation Using NCEP/NCAR Reanalysis Data for Tahtali River Basin in Turkey , 2011 .
[83] M. Babel,et al. Future changes in extreme temperature events using the statistical downscaling model (SDSM) in the trans-boundary region of the Jhelum river basin , 2014 .
[84] Vahid Nourani,et al. Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model , 2010 .
[85] T. Carter,et al. IPCC technical guidelines for assessing climate change impacts and adaptations : part of the IPCC special report to the first session of the conference of the parties to the UN framework convention on climate change , 1994 .