IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : Understanding tidal and non-tidal representation of numerical model using data relationship analysis...
Understanding tidal and non-tidal representation of numerical model using data relationship analysis in singapore regional waters
The application of ocean-atmosphere coupling through tidal and non-tidal barotropic numerical modelling to forecast sea
level in Singapore Regional Waters have greatly improved the understanding of the factors and mechanisms influencing
of sea level in Singapore Strait. However, complex governing mechanisms, multi-scale, multi-dimensional, time varying,
and highly non-linear dynamics of the marine systems make the oceanographic modelling efforts much more
challenging. Hence, there is an increasing need for alternate approaches which can provide vital information leading to
better domain knowledge and reduced time and effort required to tune the numerical models. With increasing spatial and
temporal data coverage, better quality and reliability of data modelling and data driven techniques are becoming more
favourable and acceptable to the hydrodynamic community. Data mining tools and techniques are being applied in
variety of hydro-informatics applications ranging from simple data mining for pattern discovery to data driven models
and numerical model error correction. The present study explores the feasibility of applying mutual information theory by
evaluating the amount of information contained in observed and prediction of tidal and non-tidal barotropic numerical
modelling by relating them to variables that reflect the physics such as spatial distribution of tidal constituents and tidesurge
interaction. The findings introduce the novel application on understanding the non-tidal representation of the
numerical model.
File Size : 835,252 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 20/08/2015
Download Now