English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Towards a scenario-based solution for extreme metocean event simulation applying urgent computing

MPS-Authors
/persons/resource/persons220129

Kosukhin,  Sergey
Strategic IT Partnerships (SIP), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Kalyuzhnaya, A., Nasonov, D., Ivanov, S., Kosukhin, S., & Boukhanovsky, A. (2018). Towards a scenario-based solution for extreme metocean event simulation applying urgent computing. Future Generation Computer Systems, 78, 604-617. doi:10.1016/j.future.2017.05.049.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-E0A3-0
Abstract
Today, metocean investigations, combined with forecasts and analysis of extreme events, require new design and development approaches because of their complexity. Extreme metocean events forecasting and prevention is an urgent computing task from decision-making and for reaction point of view. In this case, urgent computing scenario is an essential part that should be included in the hazard simulation and prevention system However, existed urgent computing technological concepts does not perfectly fit all tasks in a frame of extreme metocean events simulation. Many of these tasks should be executed during the overall lifecycle of hazard prevention system that includes not only urgent scenario but research part, as well In this paper, we decompose all tasks in three groups by most significant computational aspects (taking into consideration different criteria of data processing and high-performance contributions) and suggest a new solution that is adaptable for both research in normal (non-urgent) and urgent computing modes, where potential tasks can be structured in the form of scenarios. Suggested solution implements CLAVIRE platform core and extends its with advanced features (regarding simulation frequency, computational performance and data-driven computing). As an example in the metocean subject area, a complex application for Baltic Sea simulations is presented. The case studies describe three scenarios with proposed infrastructure features that are the most interesting for highlighting relevant problems of metocean simulations within the Baltic Sea. These features are: computational optimization possibilities for real-time forecast system calibration; data replacement capabilities within retrospective ensemble extreme values analysis; and hard deadline features within uncertainty analysis of an urgent scenario for complex floods. © 2017 Elsevier B.V.