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2018 | OriginalPaper | Chapter

Detecting Changes in Regional Rainfall Series in India Using Binary Segmentation-Based Multiple Change-Point Detection Techniques

Authors : Shagufta Akbari, M. Janga Reddy

Published in: Climate Change Impacts

Publisher: Springer Singapore

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Abstract

In this chapter, the rainfall patterns of five homogeneous regions in India namely Northwest, West Central, Central Northeast, Northeast and Peninsular India for the years 1871–2013 were analyzed using two change-point detection (CPD) techniques namely Binary Segmentation based on Cumulative sum and Likelihood ratio approaches. The CPD methodology involves estimation of threshold values based on Monte Carlo simulation. On applying the CPD techniques for five regions, the results showed that for most of the regions there were no significant change-points in annual/monsoon rainfall series except for monsoon rainfall in Northeast India. Further, the study extended to detect the changes in future rainfall for Northeast region by analyzing the outputs from global climate models. The findings of this study can help in better understanding the spatial variations and changing patterns of rainfall across India, and consequently in proper planning and management of water resources in the region.

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Akaike H (1974) A new look at the statistical model identification. EEE Trans Autom Contr AC 19(6):716–723

Alexandersson H (1986) A homogeneity test applied to precipitation data. J Clim 6:661–675CrossRef

Bozdogan H (2000) Akaike’s Information Criterion and recent developments in information complexity. J Math Psychol 44:62–91CrossRef

Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58:11–27CrossRef

Csorgo M, Horvath L (1997) Limit theorems in change-point analysis. Wiley, Chichester, UK

Dile YT, Srinivasan R (2014) Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. J Am Water Resour Assoc 1–16

Djibo AG, Seidou O, Karambiri H, Sittichok K, Paturel JE, Saley HM (2015) Development and assessment of non-linear and non-stationary seasonal rainfall forecast models for the Sirba watershed, West Africa. J Hydrol Reg Stud 4:134–152CrossRef

Eckley IA, Fearnhead P, Killick R (2011) Analysis of change-point models. In: Barber D, Cemgil T, Chiappa S (eds) Bayesian time series models. Cambridge University Press, Cambridge

Errasti I, Ezcurra A, Szenz J, Ibarra-Berastegi G (2011) Validation of IPCC AR4 models over the Iberian Peninsula. Theoret Appl Climatol 103(1–2):61–79CrossRef

Fuka DR, MacAllister CA, Degaetano AT, Easton ZM (2014) Using the climate forecast system reanalysis as weather input data for watershed models. Hydrol Process 28(22):5613–5623CrossRef

Girvetz EH, Maurer EP, Duffy P, Ruesch A, Thrasher B, Zganjar C (2013) Making climate data relevant to decision making: the important details of spatial and temporal downscaling. The World Bank, pp 1–43

Guhathakurta P, Rajeevan M (2008) Trends in the rainfall pattern over India. Int J Climatol 28(11):1453–1469CrossRef

Hawkins DM (1977) Testing a Sequence of Observations for a Shift in Location. J Am Stat Assoc 72(357):180–186CrossRef

Killick R, Fearnhead P, Eckley I (2012) Optimal detection of change-points with a linear computational cost. J Am Stat Assoc 107:1590–1598CrossRef

Krishnakumar KN, Rao GSLHVP, Gopakumar CS (2009) Rainfall trends in twentieth century over Kerala, India. Atmos Environ 43:1940–1944CrossRef

Page ES (1954) Continuous Inspection Schemes. Biometrika 41(1/2):100–115CrossRef

Parthasarathy B, Rupa Kumar K, Munot A (1993) Homogeneous Indian monsoon rainfall: variability and prediction. Proc Indian Acad Sci 102:121–155

Perreault L, Parent E, Bernier J, Bobee B, Slivitzky M (2000) Retrospective multivariate Bayesian change-point analysis: A simultaneous single change in the mean of several hydrological sequences. Stoch Env Res Risk Assess 14:243–261CrossRef

Potter KW (1981) Illustration of a new test for detecting a shift in mean in precipitation series. Mon Weather Rev 109:2040–2045CrossRef

Rodionov SN (2005) A brief overview of the regime shift detection methods. In: Large-scale disturbances (regime shifts) and recovery in aquatic ecosystems: challenges for management toward sustainability, pp 17–24

Scott AJ, Knott M (1974) A cluster analysis method for grouping means in the analysis of variance. Biometrics 507–512

Seidou O, Ouarda TB (2007) Recursion based multiple change-point detection in multiple linear regression and application to river streamflows. Water Resour Res 43(7)

Thrasher B, Maurer EP, McKellar C, Duffy PB (2012) Technical note: bias correcting climate model simulated daily temperature extremes with quantile mapping. Hydrol Earth Syst Sci 16:3309–3314CrossRef

Tomozeiu R, Busuioc A, Marletto V, Zinoni F, Cacciamani C (2000) Detection of changes in the summer precipitation time series of the region Emilia-Romagna, Italy. Theoret Appl Climatol 67(3–4):193–200CrossRef

Tripathi S, Govindaraju RS (2009) Change detection in rainfall and temperature patterns over India. In: Proceedings of the third international workshop on knowledge discovery from sensor data. ACM, pp 133–141

Vostrikova LJ (1981) Detecting “disorder” in multidimensional random processes. Soviet Mathematics Doklady 24(1):55–59

Winjngaard JB, Klein Tank AMG, Konnen GP (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23:679–692CrossRef

Title: Detecting Changes in Regional Rainfall Series in India Using Binary Segmentation-Based Multiple Change-Point Detection Techniques
Authors: Shagufta Akbari
M. Janga Reddy
Publisher: Springer Singapore
Book: Climate Change Impacts
Print ISBN: 978-981-10-5713-7

Electronic ISBN: 978-981-10-5714-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-5714-4_8