Long-Term Dataset of Tidal Residuals in New South Wales, Australia

Cristina N. A. Viola, Danielle C. Verdon-Kidd, David J. Hanslow, Sam Maddox and Hannah E. Power
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Cristina N. A. Viola: School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Newcastle, NSW 2308, Australia
Danielle C. Verdon-Kidd: School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Newcastle, NSW 2308, Australia
David J. Hanslow: Coast and Marine Unit, Science Division, Department of Planning, Industry and Environment, Newcastle, NSW 2309, Australia
Sam Maddox: Water, Department of Planning, Industry and Environment, Manly Hydraulics Laboratory, Newcastle, NSW 2093, Australia
Hannah E. Power: School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Newcastle, NSW 2308, Australia

Data, 2021, vol. 6, issue 10, 1-32

Abstract: Continuous water level records are required to detect long-term trends and analyse the climatological mechanisms responsible for extreme events. This paper compiles nine ocean water level records from gauges located along the New South Wales (NSW) coast of Australia. These gauges represent the longest and most complete records of hourly—and in five cases 15-min—water level data for this region. The datasets were adjusted to the vertical Australian Height Datum (AHD) and had the rainfall-related peaks removed from the records. The Unified Tidal Analysis and Prediction (Utide) model was subsequently used to predict tides for datasets with at least 25 years of records to obtain the associated tidal residuals. Finally, we provide a series of examples of how this dataset can be used to analyse trends in tidal anomalies as well as extreme events and their causal processes.

Keywords: tidal residuals; Utide; ocean water levels; extreme sea levels (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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