Skip to main content

Advertisement

Log in

Dominant large-scale parameters responsible for diverse extreme rainfall events over vulnerable Odisha state in India

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

The exorable climate changes leads to changes in the frequency and intensity of extreme rainfall events worldwide; however, the amendment in extreme rainfall events is not uniform over space, precisely it is more localized and a great threat to the society. Thus, study of rainfall extremes at a finer spatial scale is essential and identifying the large-scale parameters that are responsible factors is highly needed. Odisha state in India is one of the most vulnerable to weather extremes and considered as a study region. The present study is bi-fold, firstly examining the changes in the extreme rainfall (≥ 204.5 mm/day) over Odisha and exploring the foremost large-scale meteorological parameters responsible for heterogeneous characteristics of extreme rainfall within Odisha during 1980–2017 summer monsoon period. India Meteorological Department gridded high-resolution (0.25° × 0.25°) rainfall analysis and ERA-Interim (0.25° × 0.25°) reanalysis data at daily scale are used for the analysis. The study region has an increasing trend in extreme rainfall events and it is evident that the Indian Ocean is warmer during extreme rainfall events compared to the dry events, particularly near the seashore of Odisha. The stronger (weak) and cyclonic (anti-cyclonic) flows at 850-hPa exhibit during extreme rainfall (dry) events. The moisture flux is convergent during extreme rainfall events, while it is reverse during dry events. The monsoon trough has been shifted to south (north) from its normal position during extreme rainfall (dry) events. A detailed investigation is carried out for extreme rainfall events over five different regions in Odisha. It reveals that the wind at 850 hPa, omega at 500 hPa, and SST play the important role for Region I, while OLR and omega at 500 hPa are dominating for the Region IV in the occurrence of extreme rainfall. Moreover, the role of the dominant climatic parameters for the extreme rainfall occurrence varies for the other three regions. Analysis confirms that the role of main meteorological parameters is statistically significant for the extreme rainfall events over the respective region. Although the Odisha is a small state in India, not only the long-term trend in extreme rainfall varies region-to-region but also responsible factors associated with the climatic conditions differ for the occurrence of the extreme rainfall.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Addo DA, Oduro FT, Ansah RK (2017) Empirical orthogonal function (EOF) analysis of precipitation over Ghana. Int J Stat: Adv Theory Appl 1(2):121–141

    Google Scholar 

  • Ajayamohan RS, Rao SA (2008) Indian Ocean dipole modulates the number of extreme rainfall events over India in a warming environment. J Meteorol Soc Jpn Ser II 86(1):245–252

    Google Scholar 

  • Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG, Tagipour A (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111(D05109):1–22. https://doi.org/10.1029/2005JD006290

    Article  Google Scholar 

  • Banacos PC, Schultz DM (2005) The use of moisture flux convergence in forecasting convective initiation: historicaland operational perspectives. Forecast Forum 20:351–366

    Google Scholar 

  • Boyaj A, Ashok K, Ghosh S, Devanand A, Dandu G (2018) The Chennai extreme rainfall event in 2015: the Bay of Bengal connection. Clim Dyn 50(7–8):2867–2879

    Google Scholar 

  • Dash SK, Kulkarni MA, Mohanty UC, Prasad K (2009) Changes in the characteristics of rain events in India. J Geophys Res Atmos 114(D10109):1–12. https://doi.org/10.1029/2008JD010572

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette J-J, Park B-K, Peubey C, de Rosnay P, Tavolato C, Thépaut J-N, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qj.828

    Article  Google Scholar 

  • Dube SK, Chittibabu P, Rao AD, Sinha PC, Murty TS (2000) Sea levels and coastal inundation due to tropical cyclones in Indian coastal regions of Andhra and Orissa. Mar Geodesy 23:65–74

    Google Scholar 

  • Easterling DR, Meehl GA, Parmesan C, Changnon SA, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Science 289(5487):2068–2074

    Google Scholar 

  • Fischer EM, Seneviratne SI, Lüthi D, Schär C (2007) Contribution of land-atmosphere coupling to recent European summer heat waves. Geophys Res Lett 34:L06707. https://doi.org/10.1029/2006GL029068

    Article  Google Scholar 

  • Ghosh S, Luniya V, Gupta A (2009) Trend analysis of Indian summer monsoon rainfall at different spatial scales. Atmos Sci Lett 10(4):285–290

    Google Scholar 

  • Ghosh S, Das D, Kao SC, Ganguly AR (2012) Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes. Nat Clim Change 2(2):86

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • Han T, He S, Wang H, Hao X (2018) Enhanced influence of early-spring tropical Indian Ocean SST on the following early-summer precipitation over Northeast China. Clim Dyn 51(11–12):4065–4076

    Google Scholar 

  • IPCC (2007) Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In: Pachauri RK, Reisinger A (eds) Core Writing Team. IPCC, Geneva, Switzerland, p 104

  • IPCC (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. In: Pachauri RK, Meyer LA (eds) Core Writing Team. IPCC, Geneva, Switzerland, p 151

  • Jagannadha Rao VVM, Roja Raman M, Venkat Ratnam M, Narayana Rao D, Rao B, Vijaya S (2007) Onset of Indian summer monsoon over Gadanki (13.5 N, 79.2 E): study using lower atmospheric wind profiler. Geophys Res Lett 34(22803):1–6. https://doi.org/10.1029/2007GL031592

    Article  Google Scholar 

  • Klein Tank AMG, Peterson TC, Quadir DA, Dorji S, Zou X, Tang H, Santhosh K, Joshi UR, Jaswal AK, Kolli RK, Sikder AB (2006) Changes in daily temperature and precipitation extremes in central and south Asia. J Geophys Res Atmos 111(D16105):1–8. https://doi.org/10.1029/2005JD006316

    Article  Google Scholar 

  • Krishna Kumar K, Rajagopalan B, Hoerling M, Bates G, Cane M (2006) Unraveling the mystery of Indian monsoon failure during El Nino. Science 314:115–119

    Google Scholar 

  • Krishnamurthy V, Ajayamohan R (2010) Composite structure of monsoon low pressure systems and its relation to Indian rainfall. J Clim 23:4285–4305

    Google Scholar 

  • Krishnamurthy CKB, Lall U, Kwon H-H (2009) Changing frequency and intensity of rainfall extremes over India from 1951 to 2003. J Clim 22:4737–4746

    Google Scholar 

  • Krishnan R, Sabin TP, Vellore R, Mujumdar M, Sanjay J, Goswami BN, Terray P (2016) Deciphering the desiccation trend of the South Asian monsoon hydroclimate in a warming world. Clim Dyn 47(3–4):1007–1027

    Google Scholar 

  • Krishnaswamy J, Vaidyanathan S, Rajagopalan B, Bonell M, Sankaran M, Bhalla RS, Badiger S (2015) Non-stationary and non-linear influence of ENSO and Indian Ocean Dipole on the variability of Indian monsoon rainfall and extreme rain events. Clim Dyn 45(1–2):175–184

    Google Scholar 

  • Lorenz EN (1956) Empirical orthogonal functions and statistical weather prediction

  • Mason SJ, Waylen PR, Mimmack GM, Rajaratnam B, Harrison M (1999) Changes in extreme rainfall events in South Africa. Clim Change 41:249–257

    Google Scholar 

  • Mohanty MR, Sinha P, Maurya RKS, Mohanty UC (2018) Moisture flux adjustments in RegCM4 for improved simulation of Indian summer monsoon precipitation. Clim Dyn 52:1–21

    Google Scholar 

  • Mohapatra M, Mohanty UC (2004) Some characteristics of low pressure systems and summer monsoon rainfall over Orissa. J Curr Sci 87(9):1245–1255

    Google Scholar 

  • Mohapatra M, Mohanty UC, Behera S (2003) Spatial Variability of daily rainfall over Orissa, India, during the southwest summer monsoon. Int J Climatol 23:1867–1887

    Google Scholar 

  • Mooley DA (1973) Some aspects of Indian monsoon depressions and the associated rainfall. Mon Weather Rev 101:271–280

    Google Scholar 

  • Murty TS, Flather RA, Henry RF (1986) The storm surge problem in the Bay of Bengal. Progr Oceanogr 16:195–233

    Google Scholar 

  • Nair PJ, Chakraborty A, Varikoden H, Francis PA, Kuttippurath J (2018) The local and global climate forcings induced inhomogeneity of Indian rainfall. Sci Rep 8(1):6026

    Google Scholar 

  • Pai DS, Sridhar L, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B (2014) Development of a new high spatial resolution (0.25 × 0.25) long period (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam 65(1):1–18

    Google Scholar 

  • Pai DS, Sridhar L, Badwaik MR, Rajeevan M (2015) Analysis of the daily rainfall events over India using a new long period (1901–2010) high resolution (0.25 × 0.25) gridded rainfall data set. Clim Dyn 45(3–4):755–776

    Google Scholar 

  • Pal I, Al-Tabbaa A (2011) Monsoon rainfall extreme indices and tendencies from 1954–2003 in Kerala, India. Clim Change 106(3):407–419

    Google Scholar 

  • Pattanaik DR, Rajeevan M (2010) Variability of extreme rainfall events over India during southwest monsoon season. Meteorol Appl 17(1):88–104

    Google Scholar 

  • Rajeevan M, Bhate J, Jaswal A (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

    Google Scholar 

  • Ramos MC, Martinez-Casasnovas JA (2006) Trends in precipitation concentration and extremes in the mediterranean Penedés-Anoia Region, NE Spain. Clim Change 74:457–474

    Google Scholar 

  • Revadekar J, Varikoden H, Preethi B, Mujumdar M (2016) Precipitation extremes during Indian summer monsoon: role of cyclonic disturbances. Nat Hazards 81:1611–1625

    Google Scholar 

  • Roe GH, Feldl N, Armour KC, Hwang Y-T, Frierson DMW (2015) The remote impacts of climate feedbacks on regional climate predictability. Nat Geosci 8:135–139

    Google Scholar 

  • Roxy MK, Ghosh S, Pathak A, Athulya R, Mujumdar M, Murtugudde R, Rajeevan M (2017) A threefold rise in widespread extreme rain events over central India. Nat Commun 8(1):708

    Google Scholar 

  • Sen Roy S, Balling RC Jr (2004) Trends in extreme daily precipitation indices in India. Int J Climatol 24:457–466

    Google Scholar 

  • Sinha P, Maurya RKS, Mohanty MR, Mohanty UC (2019) Inter-comparison and evaluation of mixed-convection schemes in RegCM4 for Indian summer monsoon simulation. Atmos Res 215:239–252

    Google Scholar 

  • Stuecker MF, Bitz CM, Armour KC, Proistosescu C, Kang SM, Xie SP, Kim D, McGregor S, Zhang W, Zhao S, Cai W (2018) Polar amplification dominated by local forcing and feedbacks. Nat Clim Change 19:1

    Google Scholar 

  • Sun Z, Chang NB, Huang Q, Opp C (2012) Precipitation patterns and associated hydrological extremes in the Yangtze River basin, China, using TRMM/PR data and EOF analysis. Hydrol Sci J 57(7):1315–1324

    Google Scholar 

  • Svensson C (1999) Empirical orthogonal function analysis of daily rainfall in the upper reaches of the Huai River basin, China. Theor Appl Climatol 62(3–4):147–161

    Google Scholar 

  • Swain M, Pattanayak S, Mohanty UC (2018) Characteristics of occurrence of heavy rainfall events over Odisha during summer monsoon season. Dyn Atmos Oceans 82:107–118

    Google Scholar 

  • Taylor C (2018) Local processes with a global reach. Nat Clim Change 8:1034–1036

    Google Scholar 

  • Van Zomeren J, Van Delden A (2007) Vertically integrated moisture flux convergence as a predictor of thunderstorms. Atmos Res 83(2–4):435–445

    Google Scholar 

  • Wu X, Mao J (2016) Interdecadal modulation of ENSO-related spring rainfall over South China by the Pacific Decadal Oscillation. Clim Dyn 47(9–10):3203–3220

    Google Scholar 

  • Zhai PM, Zhang XB, Wan H, Pan XH (2005) Trends in total precipitation and frequency of daily precipitation extremes over China. J Clim 18:1096–1108. https://doi.org/10.1175/JCLI-3318.1

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the financial support given by the Indian Institute of Tropical Meteorology, Ministry of Earth Sciences to carry out the present research work. The authors specially thank IMD for providing daily gridded rainfall data and ERA-Interim for made available the high-resolution sub-daily meteorological parameters at global scale. The authors are thankful to the Mesoscale and Microscale Meteorology Division of National Centre for Atmospheric Research (NCAR) for providing WRF-ARW modelling system; which has been used to get the surface elevation map of Odisha in the present study. The authors wish to thank anonymous reviewers for their valuable suggestions and constructive comments to improve the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Sinha.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Swain, M., Sinha, P., Mohanty, U.C. et al. Dominant large-scale parameters responsible for diverse extreme rainfall events over vulnerable Odisha state in India. Clim Dyn 53, 6629–6644 (2019). https://doi.org/10.1007/s00382-019-04949-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-019-04949-0

Keywords

Navigation