The use of artificial neural networks to retrieve sea-level information from remote data sources
MetadataShow full item record
The knowledge of near-shore sea-level variations is of great importance in applications such as ocean engineering and safe navigation. It also plays an essential role in the practical realisation of the height reference surface in geodesy. In the cases of gaps in tide-gauge records, estimates can be obtained by various methods of interpolation and/or extrapolation, which generally assume linearity of the data. Although plausible in many cases, this assumption does not provide accurate results because shallow-water oceanic processes, such as tides, are mostly of a non-linear nature. This paper employs artificial neural networks to supplement hourly tide-gauge records using observations from other distant tide gauges. A case study is presented using data from the SEAFRAME tide-gauge sta-tions at Hillarys Boat Harbour, Indian Ocean, and Esperance, Southern Ocean, for the period 1992 to 2002. The neural network methodology of sea-level supplementation demonstrates reliable results, with a fairly good overall agreement between the retrieved information and actual measurements.
Makarynskyy, Dr Oleg and Kuhn, Dr Michael and Makarynska, Eng Dina and Featherstone, Prof Will E (ed) (2004), The Use of Artificial Neural Networks to Retrieve Sea-level Information from Remote Data Sources, Gravity, Geoid and Space Missions Symposium 2004 (GGSM2004), Porto, Portugal, August 30th - September 3rd, 2004.
Published as part of the IAG Symposia series. Springer Verlag, Berlin.
Copyright Springer Verlag, Berlin.
The original publication is available at http://www.springerlink.com
Showing items related by title, author, creator and subject.
Comparison between geodetic and oceanographic approaches to estimate mean dynamic topography for vertical datum unification: evaluation at Australian tide gaugesFilmer, Michael; Hughes, C.; Woodworth, P.; Featherstone, Will; Bingham, R. (2018)© 2018 Springer-Verlag GmbH Germany, part of Springer Nature The direct method of vertical datum unification requires estimates of the ocean’s mean dynamic topography (MDT) at tide gauges, which can be sourced from either ...
Using models of the ocean's mean dynamic topography to identify errors in coastal geodetic levellingFilmer, Michael (2014)Identifying errors (blunders and systematic errors) in coastal geodetic levelling networks has often been problematic. This is because (1) mean sea level (MSL) at tide gauges cannot be directly compared to height differences ...
Filmer, Michael Shaun (2010)The Australian Height Datum (AHD) was established in 1971, and is the basis for all physical heights in Australia. However, a complete revision of the AHD has never occurred, despite problems that, although not always ...