Piccioni, Gaia; Dettmering, Denise; Bosch, Wolfgang; Seitz, Florian (2018): TICON: Tidal Constants based on GESLA sea-level records from globally distributed tide gauges (data) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.896587,

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Supplement to: Piccioni, G et al. (2019): TICON: TIdal CONstants based on GESLA sea‐level records from globally located tide gauges. Geoscience Data Journal, 6(2), 97-104, https://doi.org/10.1002/gdj3.72

The TICON (TIdal CONstants) dataset contains harmonic constants of 40 tidal constituents computed for 1145 tide gauges located on a quasi-global scale and supplementary information. The tidal estimations are based on publicly available sea level records of the Global Extreme Sea Level Analysis (GESLA) project, which is the latest comprehensive high frequency tide gauge data selection collected among 30 different international sources.

The tidal constants were derived from the GESLA-2 time series through a least-squares-based harmonic analysis. A screening was performed on all records to ensure that all observations flagged as unreliable are excluded and the length of the applied time series is larger than one year. Moreover, only the records with a minimum of 70% of valid measurements were processed. In total, 89.7% of 1276 original public GESLA records were used.

The results are stored in one tab-separated text/ASCII file with 13 columns:

1. Latitude of the tide gauge station

2. Longitude of the tide gauge station

3. Constituent name

4. Amplitude in cm

5. Phase in degrees

6. Standard deviation of the amplitude in cm

7. Standard deviation of the phase in degrees

8. Percentage of missing observations

9. Total number of observations analyzed

10. Length of the maximum temporal gap found in the time series in days

11. Date of the first observation

12. Date of the last observation

13. Code that corresponds to the original source of the record

TICON is a useful and easy-to-handle data set for tide model validation and allows the users to select the records according to different criteria most suitable for their purposes. The options span from the choice of a geographical region to the use of single constituents or time periods.