Speaker
Description
URL for further information
http://www.ema.fr/LGEI/Equipe_Risque/Resume_Thierion.html
Keywords
Grid technology, OGC web services, flash flood forecasting, rainfall-runoff model
Justification for delivering demo and technical requirements (ONLY for demonstrations)
During a real-time hydrological simulation which provides discharges at the outlets of watersheds, the forecaster defines a given variation on the expected rainfall forecasting. Corresponding hydrological forecasting simulations are sent to the grid infrastructure and independently modellized. After a while, each hydrograph are retrieved and screen on the webmapping interface. Some notification functionalities are shown during the demonstration.
Conclusions and Future Work
The operational gain of this research raises new opportunities for the operational hydrological field researches. Indeed, the OGC services layer enables integration of new hydrological models in order to enhance decision-making processes relating to flood forecasting crisis management. In parallel, new core algorithms could be implemented to provide calibration and data assimilation in real-time processes while deeper researches could obtain benefit from the intrinsic grid parallelism capabilities.
Impact
The Grid infrastructure capabilities constitutes the technological base of this platform. However, with the objective of providing a more interoperable and standardized platform, a layer of geospatial data sharing services has been implemented. These services provide a standard Web Service interface (OGC Web Coverage Service and OGC Web Processing Service). While WCS provides input data retrieving and output data publication functionalities, the WPS supports several tasks to ease grid operations (controls WCS executions, grid jobs creations (JDL language), core algorithm wrapping, output retrieving and publication)
Thanks to simultaneous execution capabilities, the hydrological forecaster can apply several variations on the raw meteorological forecasting and send hydrological simulations to the grid. Each simulation, controlled by WPS request, is based on the previous hydrological conditions. This new approach permits to obtain time of responses corresponding to operational requirements.
Detailed analysis
Flash flood events (Gard 2002) caused important economic and human damage. Further to this catastrophic hydrological situation, a new effective hydrological forecasting mission has been allocated to SPCGD. Thus models improvement and optimization were among the most critical requirements. Initially dedicated to support forecasters in their monitoring mission, hydrological models have become more efficient in their capacity to anticipate hydrological situation. Cyclops project research, through SPC-GD requirements, permits to design a new effective function of the ALHTAIR model. The presented platform has been designed to enable multi-simulations processes to ease forecasting operations of several supervised watershed SPC-GD territories. The Grid technology infrastructure, by providing multiple remote computing elements enables the processing of multiple rainfall scenarios, derived from the original meteorological forecasting, and their respective hydrological simulations.
