Michael Siek

eBook, ePUB

Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles (eBook, ePUB)

UNESCO-IHE PhD Thesis

Beschreibung

Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled p

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 8.02MB

Barrierefreiheit

• Text-to-Speech

Autor

Michael Siek earned his B.Sc.degree in Mathematics from Airlangga University and B.Com. degree in Information Management from STIKOM Institute, both in 2000 and M.Sc. degree in Hydroinformatics from UNESCO-IHE, The Netherlands in 2003. He received his Ph.D. degree in Hydroinformatics from Delft University of Technology (TUDelft) and UNESCO-IHE in 2011 with the thesis entitled "Predicting storm surges: chaos, computational intelligence, data assimilation, ensembles". Previously, he worked as a full-time lecturer at University of Surabaya and a visiting lecturer at Petra Christian University in the Faculty of Engineering and Faculty of Economics.

His research has spanned a large number of disciplines, emphasizing data-driven and physically-based modelling, hydrological and coastal modelling, nonlinear dynamics and chaos theory, computational intelligence, optimization techniques, data mining, data assimilation, multi-model ensemble predictions with a wide range of real-life applications.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 16. Dezember 2011
• Englisch
• ISBN-13: 9781040195406
• Artikelnr.: 73302936