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Exploring Trends in Climatological Time Series of Orissa, India Using Nonparametric Trend Tests

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Hydrologic Time Series Analysis: Theory and Practice

Abstract

Scientific literature and successive assessment reports of the Intergovernmental Panel on Climate Change (IPCC, 2001; IPCC, 2007; Min et al., 2011) show that the net anthropogenic radiative forcing causes the global warming and intensification of hydrological cycle with consequent increase in the occurrence of extreme weather events. To trace the future of water resources under climate change, climate research uses simulation models well known as general circulation models (GCMs) for forecasting (Koutsoyiannis and Montanari, 2007). Trend analysis of paleoclimatic observation has been an important tool to test the presence of a systematic component (i.e., signal) against the background of natural variability and randomness (i.e. noise) of the instrumental record of hydroclimatic time series (e.g., Zhang et al., 2001; Bhutiyani et al., 2007; Wilson et al., 2010). Huntington (2006) reported that trends in hydrologic variables are consistent with an intensification of the water cycle. However, substantial uncertainty in trends exists due to regional differences of response variables and unavailability of datasets.

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Acknowledgements

We are very thankful to Prof. Madan Kumar Jha and Dr. Deepesh Machiwal for their helpful comments and suggestions to improve this chapter as well as for painstaking editing of this chapter.

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Machiwal, D., Jha, M.K. (2012). Exploring Trends in Climatological Time Series of Orissa, India Using Nonparametric Trend Tests. In: Hydrologic Time Series Analysis: Theory and Practice. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1861-6_11

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