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Observed trends in indices for daily rainfall extremes specific to the agriculture sector in Lower Vellar River sub-basin, India

Extreme rainfall trends over Lower Vellar sub-basin

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Abstract

Globally, climate change has caused changes in frequency and intensity of climate extremes such as heat waves, droughts, floods and tropical cyclones. There is a need to understand the pattern of regional climate extremes to develop crucial adaptation strategies for the farming community. This paper focuses on developing the Expert Team on Climate Risk and Sector-specific Indices for rainfall, relevant for the agriculture and food security sector. The indices have been developed for Lower Vellar River sub-basin, a coastal basin in Tamil Nadu, India. Trend analysis has been done for the climatic and cropping seasons in the sub-basin. Overall, there has not been any trend in the annual rainfall index values. The monthly trend values for the different indices have mostly exhibited insignificant trends throughout the study period (1978–2015) except for a few indices. Overall, the southwest monsoon season has shown a significantly decreasing trend in the indices. The northeast monsoon season has shown insignificant trends with positive slopes for most indices. There were insignificant or no trends in the indices for the summer season. The findings from the study can be used as a guiding tool for developing adaptation strategies, for the farming community.

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References

  • Alexander L V, Zhang X, Peterson T C, Caesar J, Gleason B, Klein Tank A M G, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A, Rupa Kumar K, Revadekar J, Griffiths G, Vincent L, Stephenson D B, Burn J, Aguilar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M and Vazquez-Aguirre J L 2006 Global observed changes in daily climate extremes of temperature and precipitation; J. Geophys. Res. Atmos. 111 D05109.

    Google Scholar 

  • Frei C and Schär C 2001 Detection probability of trends in rare events: Theory and application to heavy precipitations in the Alpine region; J. Clim. 14 1568–1584.

    Article  Google Scholar 

  • Geethalakshmi V, Balasubramanian T N, Selvaraju R, Bride J M, Huda A K S, Vasanthi C, George D, Clewett J and Thiyagarajan T M 2003 Length of growing period as influenced by El-Nino and La-Nina over Coimbatore, Tamil Nadu, India; J. Agric. Res. Manag. 2(3–4) 31–38.

    Google Scholar 

  • Geethalakshmi V, Bride J M and Huda A K S 2005 Impact of ENSO on Tamil Nadu rainfall; Vatavaran 29(2) 9–16.

    Google Scholar 

  • Geethalakshmi V, Yatagai A, Palanisamy K and Umetsu C 2009 Impact of ENSO and the Indian Ocean Dipole on the north-east monsoon rainfall of Tamil Nadu state in India; Hydrol. Process. 23 633–647.

    Article  Google Scholar 

  • Guhathakurta P and Rajeevan M 2008 Trends in the rainfall pattern over India; Int. J. Climatol. 28 1453–1469.

    Article  Google Scholar 

  • Guhathakurta P, Sreejith O P and Menon P A 2011 Impact of climate change on extreme rainfall events and flood risk in India; J. Earth Syst. Sci. 120 359–373.

    Article  Google Scholar 

  • Hamed K H and Rao A R 1998 A modified Mann–Kendall trend test for autocorrelated data; J. Hydrol. 204 182–196.

    Article  Google Scholar 

  • Jones P D and Hulme M 1996 Calculating regional climatic time series for temperature and precipitation: Methods and illustrations; Int. J. Climatol. 16 361–377.

    Article  Google Scholar 

  • Kendall M G 1955 Rank correlation methods; Hafner Publishing Co., New York.

    Google Scholar 

  • Kiktev D, Sexton D M H, Alexander L and Folland C K 2003 Comparison of modeled and observed trends in indices of daily climate extremes; J. Clim. 16 3560–3571.

    Article  Google Scholar 

  • Klein Tank A M G and Können G P 2003 Trends in indices of daily temperature and precipitation extremes in Europe, 1946–1999; J. Clim. 16 3665–3680.

    Article  Google Scholar 

  • Klein Tank A M G, Peterson T C, Quadir D A, Dorji S, Zou X, Tang H, Santhosh K, Joshi U R, Jaswal A K, Kolli R K, Sikder A B, Deshpande N R, Revadekar J V, Yeleuova K, Vandasheva S, Faleyeva M, Gomboluudev P, Budhathoki K P, Hussain A, Afzaal M, Chandrapala L, Anvar H, Amanmurad D, Asanova V S, Jones P D, New M G and Spektorman T 2006 Changes in daily temperature and precipitation extremes in central and south Asia; J. Geophys. Res. Atmos. 111 D16105.

    Article  Google Scholar 

  • Kumar V, Jain S K and Singh Y 2010 Analysis of long-term rainfall trends in India; Hydrol. Sci. J. 55 484–496.

    Article  Google Scholar 

  • Mann H B 1945 Non-parametric tests against trend; Econometrica 13 245–259.

    Article  Google Scholar 

  • McSweeney C and Caesar J 2013 Additional guidance on quality control and homogeneity testing for the assessment for calculation of extremes indices with RClimDex, based upon guidance notes written for the Met Office Southeast Asian Collaboration; Met Office Hadley Centre, UK.

    Google Scholar 

  • New M, Hewitson B, Stephenson David B, Tsiga A, Kruger A, Manhique A, Gomez B, Coelho C A S, Masisi D N, Kululanga E, Mbambalala E, Adesina Saleh H, Kanyanga J, Adosi J, Bulane L, Fortunata L, Mdoka M L and Lajoie R 2006 Evidence of trends in daily climate extremes over southern and west Africa; J. Geophys. Res. Atmos. 111 D14102.

    Article  Google Scholar 

  • Palmer T N and Räisänen J 2002 Quantifying the risk of extreme seasonal precipitation events in a changing climate; Nature 415 512–514.

    Article  Google Scholar 

  • Prasada Rao G S L H V, Rao G G S N and Rao V U M 2010 Climate change and agriculture over India; PHI Learning Private Limited, New Delhi, pp. 1–42.

  • Sen P K 1968 Estimates of the regression coefficient based on Kendall’s tau; J. Am. Stat. Assoc. 63 1379–1389.

    Article  Google Scholar 

  • Sen Roy S and Balling R C 2004 Trends in extreme daily precipitation indices in India; Int. J. Climatol. 24 457–466.

    Article  Google Scholar 

  • Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K B, Tignor M and Miller H L 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, Cambridge, UK and New York, NY, USA, pp. 299–316.

    Google Scholar 

  • Wang X L 2008a Accounting for autocorrelation in detecting mean-shifts in climate data series using the penalized maximal \(t\) or \(F\) test; J. Appl. Meteor. Climatol. 47 2423–2444.

    Article  Google Scholar 

  • Wang X L 2008b Penalized maximal \(F\)-test for detecting undocumented mean-shifts without trend-change; J. Atmos. Ocean Tech. 25 368–384.

    Article  Google Scholar 

  • Wang X L and Feng Y 2013 RHtests\_dlyPrcp user manual, climate research division; Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada, pp. 1–17.

    Google Scholar 

  • Wang X L, Chen H, Wu Y, Feng Y and Pu Q 2010 New techniques for detection and adjustment of shifts in daily precipitation data series; J. Appl. Meteor. Climatol. 49 2416–2436.

    Article  Google Scholar 

  • Zubair L and Ropelewski C F 2006 The strengthening relationship between ENSO and northeast monsoon rainfall over Sri Lanka and southern India; J. Clim. 19 1567–1575.

    Article  Google Scholar 

  • Zwiers F W and Von Storch H 1995 Taking serial autocorrelation into account in tests of the mean; J. Clim. 8 336–351.

    Article  Google Scholar 

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Acknowledgements

We acknowledge Sakthivadivel R, Emeritus Professor, Anna University, Chennai, for his valuable guidance throughout the research period. A special thanks to Arun Babu E for discussions and critical comments. Finally, we thank the anonymous reviewers and the editor for their comments which helped in refining this paper.

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Correspondence to Amanda Jayadas.

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Corresponding editor: A K Sahai

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Jayadas, A., Ambujam, N.K. Observed trends in indices for daily rainfall extremes specific to the agriculture sector in Lower Vellar River sub-basin, India. J Earth Syst Sci 128, 61 (2019). https://doi.org/10.1007/s12040-019-1074-0

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  • DOI: https://doi.org/10.1007/s12040-019-1074-0

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