Abstract
The contribution of atmospheric pressure and local wind to sea level variability at Goa (West coast of India) for the period 2007–2008 is investigated. Sea level data from a tide gauge are compared with measured local surface meteorological as well as oceanographic data. Multilinear regression analysis is used to resolve the dependence of sea level on various forcing parameters. The multilinear regression analysis performed over approx. 2-year data shows that the local surface meteorological data and water temperature account for the sea level variability only up to 6%. The accounted sea level variability increases to 25%, when the local wind and the surface currents obtained from satellite altimetry in the near vicinity of the study area are incorporated in the regression analysis. The contribution of local wind increases substantially when the regression is performed over a 2-month duration, and it is variable within the year. During the summer monsoon season (May–September), the sea level variability attributable to wind is up to 47% and 75%, respectively, for 2007 and 2008; however, it reduces to <20% during the winter monsoon (November–February) season. A significant part of the variability observed in sea level remains unaccounted for and is attributed to remote forcing.
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Acknowledgements
This collaboration started while the first author visited the National Oceanography Centre (NOC), Southampton under an Indian Ocean Tsunami Warning System (IOTWS) fellowship 2008-2009. We are grateful to the International Oceanographic Commission for providing us with the opportunity of working together. The first author is thankful to his other fellow colleagues at NOC: Joseph Maina, Mariana A. Soppa and Mohammad Heidarz for their support. We acknowledge the reviewers’ critical comments and valuable suggestions for improving the manuscript quality. This is NIO (CSIR) Contribution No. 4726.
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Mehra, P., Tsimplis, M.N., Prabhudesai, R.G. et al. Sea level changes induced by local winds on the west coast of India. Ocean Dynamics 60, 819–833 (2010). https://doi.org/10.1007/s10236-010-0289-z
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DOI: https://doi.org/10.1007/s10236-010-0289-z