Abstract
Concerns about climate change highlights the needs to understand extreme sea levels and the resulting flood exposure in coastal areas on a global scale. The combined impacts of storm surge, tide, breaking wave setup and potential sea level rise will pose many economic, societal and engineering challenges in coming years. In order to predict the global coastal flood risk, a global sea level dataset of sufficiently long duration is required to undertake extreme value analysis. This presentation will outline the development and application of such a dataset.
Highlights
The Global Tide and Surge Reanalysis (GTSR) dataset, as introduced by Muis et al (2016), consists of tide and surge levels along global coastlines between the years 1979-2014
In the GTSR dataset, surge levels are obtained by forcing the Global Tide and Surge Model (GTSM) with wind speed and atmospheric pressure from the ERA-Interim global atmospheric reanalysis dataset and tide levels are obtained from the Finite Element Solution (FES2012) hydrodynamic model developed by CNES-AVISO based on the Dynamic Interactive Vulnerability Assessment (DIVA) database
The tidal model is replaced with an improved version, namely, FES2014 by CNES-AVISO, and wave setup is added to the summation of surge and tide levels, in order to test for improvement of the mean root mean square error (RMSE) between the University of Hawaii Sea Level Center (UHSLC) tide gauge data and the resulting sea levels
Summary
The Global Tide and Surge Reanalysis (GTSR) dataset, as introduced by Muis et al (2016), consists of tide and surge levels along global coastlines between the years 1979-2014. In the GTSR dataset, surge levels are obtained by forcing the Global Tide and Surge Model (GTSM) with wind speed and atmospheric pressure from the ERA-Interim global atmospheric reanalysis dataset and tide levels are obtained from the Finite Element Solution (FES2012) hydrodynamic model developed by CNES-AVISO based on the Dynamic Interactive Vulnerability Assessment (DIVA) database.
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