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BOLIVAR: SIMILATION ENGINE FOR MULTIVARIATE EXTREME ANALYSIS OF METOCEAN EVENTS

Alexander V. Boukhanovsky

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s8.060View metrics

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Title
BOLIVAR: SIMILATION ENGINE FOR MULTIVARIATE EXTREME ANALYSIS OF METOCEAN EVENTS
Authors
Alexander V. Boukhanovsky
Proceedings
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Geoinformatics, Remote Sensing, and Artificial Intelligence, Vol. 14, Book 2, Volume 1
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
Proceedings volume
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Geoinformatics, Remote Sensing, and Artificial Intelligence, Vol. 14, Book 2, Volume 1 · Issue Book 2, Volume 1
References10
  1. Lopatoukhin L. J., Rozhkov V. A., Ryabinin V. E., Swail V. R., Boukhanovsky A. V., Degtyarev A.B. Estimation of extreme wave heights, JCOMM Technical Report, WMO/TD 1041, 2000, 73 p.

  2. Martins E.S., Stedinger J.R. Generalized maximum-likelihood generalized extreme- value quantile estimators for hydrologic data, Water Resources Research, vol. 36 / issue 3, 2000, pp. 737-744

  3. Jonathan P., Ewans K. Uncertainties in Extreme Wave Height Estimates for Hurricane-Dominated Regions, J. Offshore Mech. Arct. Eng. , vol. 129/ issue 4, 2007, pp. 300-305

  4. Boukhanovsky A.V., Krogstad H.E., Lopatoukhin L.J., Rozhkov V.A., Athanassoulis G.A., Stephanakos Ch.N. Stochastic Simulation of Inhomogeneous Metocean Fields. Part II: Synoptic Variability and Rare Events, Proceedings of ICCS 2003, Lecture Notes in Computer Science, vol. 2658, 2003, pp 223-233

  5. Walker D.W., Li M., Rana O.F., Shields M.S., Huang Y. The software architecture of a distributed problem-solving environment , Concurrency: Pract. Exper., vol. 12, 2000, pp. 1455–1480

  6. Knyazkov K.V., Kovalchuk S.V., Tchurov T.N., Maryin S.V., Boukhanovsky A.V. CLAVIRE: e-Science infrastructure for data-driven computing, Journal of Computational Science, vol. 3 / issue 6, 2012, pp. 504-510

  7. Klevanny K. A flood forecasting system for Saint-Petersburg, ACTIF International Conference on Innovation Advances and Implementation of Flood Forecasting Technology, Tromsø, Norway, 2005.

  8. Ivanov S.V., Kosukhin S.S., Kaluzhnaya A.V., Boukhanovsky A.V. Simulation- based collaborative decision support for surge floods prevention in St. Petersburg/ et. al.// Journal of Computational Science. – 2012. – Vol. 3(6). – pp. 450–455.

  9. The OpenDA data-assimilation toolbox: http://openda.org.

  10. Recommended practice for extreme wave analysis, Mathiesen M. et al., Journal of Hydraulic Research, vol. 32/ issue 6, 1994, pp. 803-814.

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