Abstract
The head Bay region bordering the northern Bay of Bengal is a densely populated area with a complex geomorphologic setting, and highly vulnerable to extreme water levels along with other factors like sea level rise and impact of tropical cyclones. The influence of climate change on wind–wave regime from this region of Bay of Bengal is not known well and that requires special attention, and there is a need to perform its long-term assessment for societal benefits. This study provides a comprehensive analysis on the temporal variability in domain averaged wind speed, significant wave height (SWH) utilizing satellite altimeter data (1992–2012) and mean wave period using ECMWF reanalysis products ERA-Interim (1992–2012) and ERA-20C (1992–2010) over this region. The SWH derived from WAVEWATCH III (WW3) model along with the ERA-Interim reanalysis supplements the observed variability in satellite altimeter observations. Further, the study performs an extensive error estimation of SWH and mean wave period with ESSO-NIOT wave atlas that shows a high degree of under-estimation in the wave atlas mean wave period. Annual mean and wind speed maxima from altimeter show an increasing trend, and to a lesser extent in the SWH. Interestingly, the estimated trend is higher for maxima compared to the mean conditions. Analysis of decadal variability exhibits an increased frequency of higher waves in the present decade compared to the past. Linear trend analysis show significant upswing in spatially averaged ERA-20C mean wave period, whereas the noticed variations are marginal in the ERA-Interim data. A separate trend analysis for the wind-seas, swell wave heights and period from ERA-20C decipher the fact that distant swells governs the local wind–wave climatology over the head Bay region, and over time the swell activity have increased in this region.













Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Anoop TR, Sanil Kumar V, Shanas PR, Johnson G (2015) Surface wave climatology and its variability in the North Indian Ocean based on ERA-Interim reanalysis. J Atmos Ocean Technol 32(7):1372–1385
Bhaskaran PK, Gupta N, Dash MK (2014) Wind–wave climate projections for the Indian Ocean from satellite observations. J Mar Sci Res Dev S11:005. doi:10.4172/2155-9910
Chakrabarti SK (1987) Hydrodynamics of offshore structures, chapter 5. Springer, Berlin, p 439
Chen G, Chapron B, Ezraty R, Vandemark D (2002) A global view of swell and wind sea climate in the ocean by satellite altimeter and scatterometer. J Atmos Ocean Technol 19(11):1849–1859
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(656):553–597
Gupta N, Bhaskaran PK, Dash MK (2015) Recent trend in wind–wave climate for the Indian Ocean. Curr Sci 108(12):2191–2201
Hithin NK, Kumar VS, Shanas PR (2015) Trends of wave height and period in the Central Arabian Sea from 1996 to 2012: a study based on satellite altimeter data. Ocean Eng 108:416–425
IPCC, Climate Change (2007) The physical science basis. In: Solomon S, et al (eds) Contribution of working group I to IV assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK, p 996
Kumar VS, Sajiv C (2010) Variations in long term wind speed during different decades in Arabian Sea and Bay of Bengal. J Earth Syst Sci 119:639–653
Kumar D, Sannasiraj SA, Sundar V, Polnikov VG (2013) Wind wave characteristics and climate variability in the Indian Ocean region using altimeter data. Mar Geod 36:303–313
Nayak S, Bhaskaran PK, Venkatesan R, Dasgupta S (2013) Modulation of local wind waves at Kalpakkam from remote forcing effects of Southern Ocean swells. Ocean Eng 64:23–35
Patra A, Bhaskaran PK (2016) Trends in wind-wave climate over the Head Bay of Bengal region. Int J Climatol. doi:10.1002/joc.4627
Poli P, Hersbach H, Tan D, Dee D, Thépaut J-N, Simmons A, Peubey C, Laloyaux P, Komori T, Berrisford P, Dragani R, Trémolet Y, Holm E, Bonavita M, Isaksen L, Fisher M (2013) The data assimilation system and initial performance evaluation of the ECMWF pilot reanalysis of the 20th century assimilating surface observations only (ERA-20C), ERA report series 14. ECMWF, Reading, UK
Rosmorduc V, Benveniste J, Bronner E, Dinardo S, Lauret O, Maheu C, Milagro M, Picot N (2011) Radar altimetry tutorial. J. Benveniste and N. Picot Ed. http://www.altimetry.info
Semedo A, Suselij K, Rutgersson A, Sterl A (2011) A global view on the wind sea and swell climate and variability from ERA-40. J Clim 24(5):1461–1479
Shanas PR, Kumar VS (2015) Trend analysis of wind speed and wave height in central Bay of Bengal. Int J Climatol 35(9):2654–2663
Singh OP, Ali Khan TM, Rahman MS (2000) Has the frequency of intense tropical cyclones increased in the north Indian Ocean? Curr Sci 80(4):575–580
Sivakholundu KM, Joseph KJ, Jena BK (2014) Wave atlas of the Indian coast. National Institute of Ocean Technology, Ministry of Earth Sciences, Government of India, Chennai, p 130
Tolman HL (1991) A third generation model for wind waves on slowly varying, unsteady and inhomogeneous depths and currents. J Phys Oceanogr 21:782–797
Tolman HL (2009) User manual and system documentation of WAVEWATCH III version 3.14. NOAA/NWS/NCEP/MMAB, Tech. note 276, pp 194
Wang XL, Swail VR (2002) Trends of Atlantic wave extremes as simulated in a 40-yr wave hindcast using kinematically reanalyzed wind fields. J Clim 15:1020–1035
Young IR, Zieger S, Babanin AV (2011) Global trends in wind speed and wave height. Science 332(6028):451–455
Acknowledgments
The authors sincerely thank the Ministry of Human Resources Development (MHRD), Government of India for the financial support. This study is conducted as a part of the Mega Project “Future of Cities” under the module ‘Effect of Climate change on local sea level rise and its impact on coastal areas: Kolkata region as a pilot study’ supported by MHRD at IIT Kharagpur. The authors also thank the anonymous reviewers for their critical comments and suggestion that improved the overall scientific quality of this article. The authors are also thankful to Indian National Centre for Ocean Information Services (INCOIS), Ministry of Earth Sciences, Hyderabad for providing the wave rider buoy data and National Institute of Ocean Technology (NIOT), Chennai for providing the wave atlas data.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.

Figure S1
Trends in ERA-20C wind speed (m/s) (JPEG 107 kb)
Rights and permissions
About this article
Cite this article
Patra, A., Bhaskaran, P.K. Temporal variability in wind–wave climate and its validation with ESSO-NIOT wave atlas for the head Bay of Bengal. Clim Dyn 49, 1271–1288 (2017). https://doi.org/10.1007/s00382-016-3385-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-016-3385-z


