Abstract
This study explores the rainfall characteristics of the North East region of India using daily-recorded data between 1950 and 2013. The data analysis is mainly focused on the plain and plateau regions of the study area. Fractal analysis and continuous wavelet transform were utilized to explore the chaotic nature and multi-time scale features of the rainfall time series. Trends in the time series were detected by using the Mann–Kendall test and Sen’s slope estimator. Rainfall over the study regions is quite variable; from south to north and west to east, a high–low–high gradient in the spatial distribution in seasonal and annual rainfall was observed. The frequency of heavy (64.5 ≤ R ≤ 124.4 mm), very heavy (124.5 ≤ R ≤ 244.5 mm), and extremely heavy (R ˃ 244.5 mm) rainfalls and consecutive rainfall ˃ 30 days were observed higher in Meghalaya plateau, whereas the highest frequency of light rainfall was observed in the Tripura plain region. Significant rainfall trends (increasing/decreasing) on monthly and seasonal scales were detected in both study regions. Also, a progressive reduction in the frequency of different amounts of rainfall was detected in the Barak plain region and on the Brahmaputra plain region’s north-eastern side. The Hurst exponent extracted from the rainfall series revealed persistent behavior for most of the time series. Wavelet transform confirmed a periodicity of 4 years and 6 years in both plain and plateau regions with a 5% significance level. The result that comes out from this study shall be useful for irrigation and agricultural activity and may help the decision makers formulate comprehensive disaster management strategies.
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References
Almeida CT, Oliveira-Júnior JF, Delgado RC, Cubo P, Ramos MC (2016) Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973-2013. Int J Climatol 37:2013–2026. https://doi.org/10.1002/joc.4831
Al-Wagdany AS (2016) Inconsistency in rainfall characteristics estimated from records of different rain gauges. Arab J Geosci 9:410. https://doi.org/10.1007/s12517-016-2425-7
Amaro IR, Demey JR, Macchiavelli R (2004) Application of R/S Hurst analysis for the study of the fractal properties of precipitation in Venezuela (in Spanish). Interciencia 29:617–620
Ashok K, Saji NH (2007) On the impacts of ENSO and Indian Ocean dipole events on sub-regional Indian summer monsoon rainfall. Nat Hazards 42:273–285. https://doi.org/10.1007/s11069-006-9091-0
Attri SD, Tyagi A (2010) Climate profile of India, IMD Met Monograph No. Environmental Meteorology-01/2010. 3-4pp
Bal S, Bose M (2010) A climatological study of the relations among solar activity, galactic cosmic ray and precipitation on various regions over the globe. J Earth Syst Sci 119:201–209. https://doi.org/10.1007/s12040-010-0015-8
Das PJ, Goswami DC (2003) Long-term variability of rainfall over northeast India. Ind J Land Sys Ecol Stud 26(1):1–20
Das S, Tomar CS, Saha D, Shaw SO, Singh C (2015) Trend in rainfall patterns over North-East India during 1961-2010. Int J Earth Atmo Sci 2(2):37–48
Dash SK, Kulkarni MA, Mohanty UC, Prasad K (2009) Changes in the characteristics of rain events in India. J Geophys Res 114:D10109. https://doi.org/10.1029/2008jd010572
Deka RL, Mahanta C, Pathak H, Nath KK, Das S (2013) Trends and fluctuations of rainfall regime in the Brahmaputra and Barak basins of Assam. Theor Appl Climatol 114:61–71. https://doi.org/10.1007/s00704-012-0820-x
Dhar ON, Nandargi S (2000) A study of floods in the Brahmaputra Basin in India. Int J Climatol 20(7):771–781. https://doi.org/10.1002/1097-0088(20000615)20:7<771::AID-JOC518>3.0.CO;2-Z
Dhar ON, Nandargi S (2004) Rainfall distribution over the Arunachal Pradesh Himalayas. Weather 59(6):155–157. https://doi.org/10.1256/wea.87.03
Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006) Increasing trend of extreme rain events over India in a warming environment. Science 314(5804):1442–1445. https://doi.org/10.1126/science.1132027
Goswami BB, Mukhopadhyay P, Mahanta R, Goswami BN (2010) Multiscale interaction with topography and extreme rainfall events in the northeast Indian region. J Geophys Res 115. https://doi.org/10.1029/2009jd012275
Guhathakurta P, Rajeevan M (2008) Trends in the rainfall pattern over India. Int J Climatol 28:1453–1469. https://doi.org/10.1002/joc.1640
Guhathakurta P, Sreejith OP, Menon PA (2011) Impact of climate change on extreme rainfall events and flood risk in India. J Earth Syst Sci 120(3):359–373. https://doi.org/10.1007/s12040-011-0082-5
Hamed KH, Ramachandra Rao A (1998) A modified Mann-Kendall trend test for autocorrelated data. J Hydrol 204(1-4):182–196. https://doi.org/10.1016/S0022-1694(97)00125-X
Hosseinizadeh A, SeyedKaboli H, Zareie H, Akhondali A, Farjad B (2015) Impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin. Geoenvironmental Disasters 2(1). https://doi.org/10.1186/s40677-015-0031-8
Jain SK, Kumar V, Saharia M (2012) Analysis of rainfall and temperature trends in northeast India. Int J Climatol 33(4):968–978. https://doi.org/10.1002/joc.3483
Jemai H, Ellouze M, Abida H, Laignel B (2018) Spatial and temporal variability of rainfall: case of Bizerte-Ichkeul Basin (Northern Tunisia). Arab J Geosci 11:177. https://doi.org/10.1007/s12517-018-3482-x
Jhajharia D, Singh VP (2010) Trends in temperature, diurnal temperature range and sunshine duration in Northeast India. Int J Climatol 31:1353–1367. https://doi.org/10.1002/joc.2164
Jhajharia D, Yadav BK, Maske S, Chattopadhyay S, Kar AK (2012) Identification of trends in rainfall, rainy days and 24h maximum rainfall over subtropical Assam in Northeast India. Compt Rendus Geosci 344(1):1–13. https://doi.org/10.1016/j.crte.2011.11.002
Karmeshu N (2012) Trend detection in annual temperature & precipitation using the Mann-Kendall test—a case study to assess climate change on select states in the Northeastern United States. Scholarly Commons.
Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London ISBN: 0195205723
Kiros G, Shetty A, Nandagiri L (2016) Analysis of variability and trends in rainfall over northern Ethiopia. Arab J Geosci 9(6). https://doi.org/10.1007/s12517-016-2471-1
Kothawale DR, Munot AA, Borgaonkar HP (2007) Temperature variability over the Indian Ocean and its relationship with Indian summer monsoon rainfall. Theor Appl Climatol 92:31–45. https://doi.org/10.1007/s00704-006-0291-z
Kripalani RH, Kulkarni A, Sabade SS, Khandekarm ML (2003) Indian monsoon variability in a global warming scenario. Nat Hazards 29:189–206. https://doi.org/10.1023/a:1023695326825
Kumar KR, Pant GB, Parthasarathy B, Sontakke NA (1992) Spatial and subseasonal patterns of the long-term trends of Indian summer monsoon rainfall. Int J Climatol 12:257–268. https://doi.org/10.1002/joc.3370120303
Kumar V, Jain SK, Singh Y (2010) Analysis of long-term rainfall trends in India. Hydrol Sci J 55(4):484–496. https://doi.org/10.1080/02626667.2010.481373
Kumar KK, Patwardhan SK, Kulkarni A, Kamala K, Rao KK, Jones R (2011) Simulated projection for summer monsoon climate over India by a high-resolution regional climate model (PRECIS). Curr Sci 101(3):312–326
Kwarteng AY, Dorvlo AS, Vijaya Kumar GT (2009) Analysis of a 27-year rainfall data (1977-2003) in the Sultanate of Oman. Int J Climatol 29(4):605–617. https://doi.org/10.1002/joc.1727
Liu Z (2012) Dynamics of interdecadal climate variability: a historical perspective. J Clim 25:1963–1995. https://doi.org/10.1175/2011jcli3980.1
Mahanta R, Sarma D, Choudhury A (2013) Heavy rainfall occurrences in northeast India. Int J Climatol 33:1456–1469. https://doi.org/10.1002/joc.3526
Mann HB (1945) Nonparametric tests against trend. Econometrica 13(3):245–259. https://doi.org/10.2307/1907187
McWilliam JR (1980) Summary and synthesis-adaptation to high temperature stress. In: Turner NC and Krammer PI (eds) Adaptation of plants to high temperature stress. John Wiley, New York, USA, pp 444–446
Medina S, Houze RA Jr, Kumar A, Niyogi D (2010) Summer monsoon convection in the Himalayan region: terrain and land cover effects. Q J R Meteorol Soc 136:593–616. https://doi.org/10.1002/qj.601
Meehl GA, Goddard L, Murphy J, Stouffer RJ, Boer G, Danabasoglu G, Dixon K, Giorgetta MA, Greene AM, Hawkins E, Hegerl G, Karoly D, Keenlyside N, Kimoto M, Kirtman B, Navarra A, Pulwarty R, Smith D, Stammer D, Stockdale T (2009) Decadal prediction. Bull Amer Meteor Soc 90:1467–1486. https://doi.org/10.1175/2009bams2778.1
Pachauri RK, Reisinger A. Climate change 2007. Synthesis report. Contribution of Working Groups I, II and III to the fourth assessment report.
Pachauri R K, Allen M R., Barros V R, Broome J, Cramer W, Christ R, Church J A, Clarke L, Dahe Q, Dasgupta P, Dubash N K (2014) Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change (IPCC, Geneva, Switzerland, 151 pp).
Pal S, Mazumdar D, Chakraborty PK (2015) District-wise trend analysis of rainfall pattern in last century (1901-2000) over Gangetic region in West Bengal, India. JANS 7:750–757. https://doi.org/10.31018/jans.v7i2.678
Prathipati VK, Naidu CV, Konatham P (2019) Inconsistency in the frequency of rainfall events in the Indian summer monsoon season. Int J Climatol 39:4907–4923. https://doi.org/10.1002/joc.6113
Prokop P, Walanus A (2014) Variation in the orographic extreme rain events over the Meghalaya Hills in northeast India in the two halves of the twentieth century. Theor Appl Climatol 121:389–399. https://doi.org/10.1007/s00704-014-1224-x
Rajeevan M, Bhate J, Jaswal AK (2008) Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys Res Lett 35:L18707. https://doi.org/10.1029/2008gl035143
Rakhecha PR, Soman MK (1994) Trends in the annual extreme rainfall events of 1 to 3 days duration over India. Theor Appl Climatol 48:227–237. https://doi.org/10.1007/bf00867053
Ramakrishnan PS (1994) Participatory development in managing population pressure on natural resources. In: Krishnan R (ed) Growing numbers and dwindling resources. Tata Energy Research Inst, New Delhi, pp 86–96
Ramakrishnan PS (2001) Increasing population and declining biological resources in the context of global change and globalization. J Biosci 26:465–479. https://doi.org/10.1007/bf02704747
Rangarajan G, Sant DA (2004) Fractal dimensional analysis of Indian climatic dynamics. Chaos, Solitons Fractals 19(2):285–291. https://doi.org/10.1016/s0960-0779(03)00042-0
Ravindranath NH, Rao S, Sharma N, Nair M, Gopalakrishnan R, Rao AS, Malaviya S, Tiwari R, Sagadevan A, Munsi M, Krishna N, Bala G (2011) Climate change vulnerability profiles for North East India. Curr Sci 101(3)
Razmkhah H, AkhoundAli AM, Radmanesh F, Saghafian B (2016) Evaluation of rainfall spatial correlation effect on rainfall-runoff modeling uncertainty, considering 2-copula. Arab J Geosci 9:323. https://doi.org/10.1007/s12517-016-2392-z
Rehman S, Siddiqi AH (2009) Wavelet based hurst exponent and fractal dimensional analysis of Saudi climatic dynamics. Chaos, Solitons Fractals 40(3):1081–1090. https://doi.org/10.1016/j.chaos.2007.08.063
Romatschke U, Houze RA (2011) Characteristics of precipitating convective systems in the premonsoon season of South Asia. J Hydrometeorol 12(2):157–180. https://doi.org/10.1175/2010jhm1311.1
Roy I, Tedeschi RG, Collins M (2019) ENSO teleconnections to the Indian summer monsoon under changing climate. Int J Climatol 39:3031–3042. https://doi.org/10.1002/joc.5999
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63(324):1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Sen Roy S, Balling RC (2004) Trends in extreme daily precipitation indices in India. Int J Climatol 24(4):457–466. https://doi.org/10.1002/joc.995
Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79(1):61–78. https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2
Valdez-Cepeda RD, Aguilar-Campos AA, Macıas FB, G., de Leon GM, de Jesus Mendez-Gallegos S, Magallanes-Quintanar R (2012) Analysis of precipitation in central Mexico: trends, self-affinity and important frequencies. Int J Phys Sci 7:5324–5326. https://doi.org/10.5897/ijps12.421
Valle MAV, García GM, Cohen IS, Klaudia OL, Ruiz Corral JA, Korvin G (2013) Spatial variability of the Hurst exponent for the daily scale rainfall series in the state of Zacatecas. Mexico J Appl Meteor Climat 52(12):2771–2780. https://doi.org/10.1175/jamc-d-13-0136.1
Winstanley D (1973) Recent rainfall trends in Africa, the Middle East and India. Nature 243:464–465. https://doi.org/10.1038/243464a0
Wuebbles DJ, Fahey DW, Hibbard KA, Dokken DJ, Stewart BC, Maycock TK (2017) Climate science special report: fourth national climate assessment, vol I. U.S. Global Change Research Program, Washington, DC, USA, 470 pp. https://doi.org/10.7930/J0J964J6
Zeri M, Cunha-Zeri G, Gois G, Lyra GB, Oliveira-Júnior JF (2019) Exposure assessment of rainfall to interannual variability using the wavelet transform. Int J Climatol 39:568–578. https://doi.org/10.1002/joc.5812
Acknowledgements
We are thankful to the National Data Centre, Indian Meteorological Department (IMD), Pune, for providing the dataset for this research. Further, we would like to thank the Physical Science Division, Department of Applied Sciences Gauhati University, for providing the computing facility.
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Singh, A., Thakur, S. & Adhikary, N.C. Analysis of spatial and temporal rainfall characteristics of the North East region of India. Arab J Geosci 14, 885 (2021). https://doi.org/10.1007/s12517-021-07266-1
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DOI: https://doi.org/10.1007/s12517-021-07266-1