Multiple Scenarios Computing In The Flood Prediction System FLOREON

Martinovič, Jan; Kuchař, Štěpán; Vondrák, Ivo; Vondrák, Vít; Nir, Boris; Unucka, Jan

doi:10.7148/2010-0182-0188

Cited by 8 publications

(9 citation statements)

References 21 publications

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“…Since 2006, the research team from VSB-Technical university of Ostrava develops flood prediction system FLOREON+ [4] that integrates several numerical models for flood modelling. One of them is an in-house rainfallrunoff model internally called Math1D.…”

Section: Rainfall-runoffmodellingmentioning

confidence: 99%

Automatic calibration of rainfall-runoff models and its parallelization strategies

Vavrik¹,

Theuer²,

Golasowski³

et al. 2015

AIP Conference Proceedings

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For successful decision making in disaster management it is necessary to have very accurate information about disaster phenomena and its potential developmentin time. Rainfall-runoff simulations are an integral part of flood warning and decision making processes. To increase their accuracy, it is crucial to periodically updatetheir parametersin a calibration process.Since calibration is very time consuming process an HPC facility is convenient tool for its speed-up. However, required speed-up can be achieved only avoiding any human-computer interaction in so-called automatic calibration.In order to compare possibilities and efficiency of the automatic calibration, three different fully automatic parallel implementationstrategies were created and tested with our in-house rainfall-runoff model.

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Section: Rainfall-runoffmodellingmentioning

confidence: 99%

Automatic calibration of rainfall-runoff models and its parallelization strategies

Vavrik¹,

Theuer²,

Golasowski³

et al. 2015

AIP Conference Proceedings

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“…One of the applications that are used to develop, test and validate the HARPA architecture is the Floreon+ system [11,12]. It is an automatized flood prediction system for the Moravian-Silesian region in Czech Republic developed at IT4Innovations National Supercomputing Centre.…”

Section: Critical Modules and Their Operation In Hpc Environment Casmentioning

confidence: 99%

“…The Fig. 4 shows real results from a real case [11], where the black curve presents the measured discharge and the orange curve shows the simulated discharge. The threshold level for switching to the emergency scenario depends on the location of the measurement station and is defined by flood activity degrees at the station that are specified by local catchment authorities.…”

Section: Critical Modules and Their Operation In Hpc Environment Casmentioning

confidence: 99%

System and Application Scenarios for Disaster Management Processes, the Rainfall-Runoff Model Case Study

Portero

Kuchař

Vavrik

et al. 2014

Computer Information Systems and Industrial Management

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Part 5: Industrial Management and Other ApplicationsInternational audienceIn the future, the silicon technology will continue to reduce following the Moore’s law. Device variability is going to increase due to a loss in controllability during silicon chip fabrication. Then, the mean time between failures is also going to decrease. The current methodologies based on error detection and thread re-execution (roll back) can not be enough, when the number of errors increases and arrives to a specific threshold. This dynamic scenario can be very negative if we are executing programs in HPC systems where a correct, accurate and time constrained solution is expected. The objective of this paper is to describe and analyse the needs and constraints of different applications studied in disaster management processes. These applications fall mainly in the domains of the High Performance Computing (HPC). Even if this domain can have differences in terms of computation needs, system form factor and power consumption, it nevertheless shares some commonalities

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“…the hydrological cycle representation (conceptual and physically automated calibration methods and mainly during flooding situations. The main goal of this paper is to look at these methods in the context of our flood prediction system called Floreon + [18,30], which executes rainfall-runoff simulations for all major catchments of the Moravian-Silesian region every hour.…”

Section: Introductionmentioning

confidence: 99%

EFFICIENT METHODS OF AUTOMATIC CALIBRATION FOR RAINFALL-RUNOFF MODELLING IN THE FLOREON<sup>+</sup> SYSTEM

Theuer¹,

Vavrik²,

Vondrák³

et al. 2017

NNW

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This paper describes the first attempt of hardware implementation of Multistream Compression (MSC) algorithm. The algorithm is transformed to series of Finite State Machines with Datapath using Register-Transfer methodology. Those state machines are then implemented in VHDL to selected FPGA platform. The algorithm utilizes a special tree data structure, called MSC tree. For storage purpose of the MSC tree a Left Tree Representation is introduced. Due to parallelism, the algorithm uses multiple port access to SDRAM memory.

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Multiple Scenarios Computing In The Flood Prediction System FLOREON

Cited by 8 publications

References 21 publications

Automatic calibration of rainfall-runoff models and its parallelization strategies

Automatic calibration of rainfall-runoff models and its parallelization strategies

System and Application Scenarios for Disaster Management Processes, the Rainfall-Runoff Model Case Study

EFFICIENT METHODS OF AUTOMATIC CALIBRATION FOR RAINFALL-RUNOFF MODELLING IN THE FLOREON<sup>+</sup> SYSTEM

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