EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

The new GESLA-3 tide gauge data set and its quality control for tidal studies

Marta Marcos1, Ivan D. Haigh2, Stefan A. Talke3, Michael Hart-Davis4, Denise Dettmering4, Philip L. Woodworth5, and John R. Hunter6
Marta Marcos et al.
  • 1University of the Balearic Islands, IMEDEA, Esporles, Spain (
  • 2School of Ocean and Earth Science, University of Southampton, National Oceanography Centre, 8 European Way, Southampton, SO14 3ZH, UK
  • 3Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, California, USA
  • 4Deutsches Geodätisches Forschungsinstitut, Technical University of Munich, Munich, Germany
  • 5National Oceanography Centre, Liverpool L3 5DA, UK
  • 6Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia

The Global Extreme Sea Level Analysis (GESLA) dataset contains, in its recently released version 3, a total of 5199 tide gauge records of hourly (or higher) temporal resolution, globally distributed and totalling more than 91000 years of data ( This represents twice the number of observations compared to the former version of the database. The tide gauge records have been compiled from multiple data providers and so they have different levels of quality controls. Here we describe a set of tools to homogenise and quality control sea level observations from raw GESLA files, including adjustments of datum jumps and time shifts in the time series. We apply these tools to estimate tidal constituents from the extended in-situ dataset. The results are used to identify the river influences on coastal tide gauges and to map the spatial patterns of mean tidal ranges along densely monitored coastlines.

How to cite: Marcos, M., Haigh, I. D., Talke, S. A., Hart-Davis, M., Dettmering, D., Woodworth, P. L., and Hunter, J. R.: The new GESLA-3 tide gauge data set and its quality control for tidal studies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3944,, 2022.

Comments on the display material

to access the discussion