Open Science Research Excellence
@article{(International Science Index):,
  title    = {Using High Performance Computing for Online Flood Monitoring and Prediction},
  author    = {Stepan Kuchar and  Martin Golasowski and  Radim Vavrik and  Michal Podhoranyi and  Boris Sir and  Jan Martinovic},
  country   = {Czech Republic},
  institution={VSB-TU Ostrava, IT4Innovations},
  abstract  = {The main goal of this article is to describe the online
flood monitoring and prediction system Floreon+ primarily developed
for the Moravian-Silesian region in the Czech Republic and the basic
process it uses for running automatic rainfall-runoff and
hydrodynamic simulations along with their calibration and
uncertainty modeling. It takes a long time to execute such process
sequentially, which is not acceptable in the online scenario, so the use
of a high performance computing environment is proposed for all
parts of the process to shorten their duration. Finally, a case study on
the Ostravice River catchment is presented that shows actual
durations and their gain from the parallel implementation.
    journal   = {International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering},  volume    = {9},
  number    = {5},
  year      = {2015},
  pages     = {432 - 437},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 101, 2015},