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Domain Decomposition in Shallow Lake Modelling for Operational Forecasting of Flooding

  • Menno Genseberger
  • Edwin Spee
  • Lykle Voort
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 104)

Abstract

For the prediction of flooding at the borders of the major lakes in the Netherlands, a new system is in operational use. At the moment the time horizon of forecasts is 2 days ahead. To enlarge this time horizon, the shallow-water models of the lakes will be applied in combination with short-to-medium weather ensemble forecasts up to 15 days. Therefore, in this paper we study how to run ensembles with these models efficiently on current hardware. For this purpose, we use domain decomposition in the shallow-water models to have a good balance between computational times and (parallel) efficiency.

Keywords

Optimized Schwarz Parallel performance Shallow lakes Shallow-water solver 

Notes

Acknowledgement

We thank SURFsara (www.surfsara.nl) for their support in using the Lisa linux-cluster and the Dutch national supercomputer Cartesius. We acknowledge PRACE for awarding a part of this support.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.DeltaresDelftThe Netherlands
  2. 2.CWIAmsterdamThe Netherlands
  3. 3.SURFsaraAmsterdamThe Netherlands

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