GESLA Version 3: A major update to the global higher‐frequency sea‐level dataset
| Type | Article | ||||||||
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| Date | 2023-07 | ||||||||
| Language | English | ||||||||
| Author(s) | Haigh Ivan D. 1, Marcos Marta2, Talke Stefan A.3, Woodworth Philip L.4, Hunter John R.5, Hague Ben S.6, Arns Arne7, Bradshaw Elizabeth8, Thompson Philip9 |
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| Affiliation(s) | 1 : School of Ocean and Earth Science University of Southampton, National Oceanography Centre Southampton ,UK 2 : IMEDEA (UIB‐CSIC) Esporles Balearic Islands ,Spain 3 : Department of Civil and Environmental Engineering California Polytechnic State University San Luis Obispo California ,USA 4 : National Oceanography Centre Liverpool, UK 5 : Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania, Australia 6 : Australian Bureau of Meteorology Melbourne Victoria ,Australia 7 : Faculty of Agricultural and Environmental Sciences University of Rostock Rostock ,Germany 8 : British Oceanographic Data Centre National Oceanography Centre Liverpool ,UK 9 : Department of Oceanography University of Hawaiʻi at Mānoa Honolulu Hawaiʻi ,USA |
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| Source | Geoscience Data Journal (2049-6060) (Wiley), 2023-07 , Vol. 10 , N. 3 , P. 293-314 | ||||||||
| DOI | 10.1002/gdj3.174 | ||||||||
| WOS© Times Cited | 31 | ||||||||
| Keyword(s) | sea level records, sea level rise, storm surges, storm tides, tide gauge | ||||||||
| Abstract | This paper describes a major update to the quasi-global, higher-frequency sea-level dataset known as GESLA (Global Extreme Sea Level Analysis). Versions 1 (released 2009) and 2 (released 2016) of the dataset have been used in many published studies, across a wide range of oceanographic and coastal engineering-related investigations concerned with evaluating tides, storm surges, extreme sea levels, and other related processes. The third version of the dataset (released 2021), presented here, contains double the number of years of data, and nearly four times the number of records, compared to Version 2. The dataset consists of records obtained from multiple sources around the world. This paper describes the assembly of the dataset, its processing, and its format, and outlines potential future improvements |
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