slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Operational flash flood forecasting based on grid technology Monitoring and Forecasting PowerPoint Presentation
Download Presentation
Operational flash flood forecasting based on grid technology Monitoring and Forecasting

Loading in 2 Seconds...

play fullscreen
1 / 21

Operational flash flood forecasting based on grid technology Monitoring and Forecasting - PowerPoint PPT Presentation


  • 148 Views
  • Uploaded on

11 – 15 May, 2009, Toulouse, France CEOS WGISS 27. Operational flash flood forecasting based on grid technology Monitoring and Forecasting. Thierion Vincent P.-A. Ayral, V. Angelini, S. Sauvagnargues-Lesage, S. Nativi, and O. Payrastre

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Operational flash flood forecasting based on grid technology Monitoring and Forecasting' - otis


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

11 – 15 May, 2009, Toulouse, France

CEOS WGISS 27

Operational flash flood forecasting based on grid technology

Monitoring and Forecasting

Thierion Vincent

P.-A. Ayral, V. Angelini, S. Sauvagnargues-Lesage, S. Nativi, and O. Payrastre

Laboratoire de Génie de l’Environnement Industriel et des Risques Industriels et Naturels

slide2

Context

Prototype

Grid

Flash floods

Conclusion

  • Research issues
  • French flood crisis management state and requirements
  • Grid technology potentialities
  • Existing operational flash flood monitoring and modelling platform
  • Grid-enabled OWS : an experimental platform
  • Towards an interoperable and spatial decision-making platform
slide3

Context

Prototype

Grid

Flash floods

Conclusion

How grid technology capabilities enable the new forecasting mission of Grand Delta flood forecasting service (SPC-GD) ?

Hazard : Flash flood

Forecasting and Monitoring :

Hydrological expertise (SPC-GD & SCHAPI)‏

?

VOs ESR & CYCLOPS (EGEE)

Research axes :

1. Improvement of hydrological forecasting capabilities

2. Grid potentialities for operational crisis management

slide4

Context

Prototype

Grid

Flash floods

Conclusion

According to lessons learnt, flash flood crisis management requires

accurate flood hazard evaluation and on-going situation anticipation

in order to support civil authorities to :

- evaluate hazard intensity

- anticipate human and materials damages

- organize rescues operations

Integration and sharing of sensor observation outputs

Geospatial data and processing enhancement

Resource availability, short time of response, security and interoperability …

Risk

Hazard

slide5

Context

Prototype

Grid

Flash floods

Conclusion

Existing client - server system provides realistic hydrological monitoring of supervised watersheds

BUT

SPC-GD computational’s lack limits short-term operational forecasting for the whole of supervised watersheds

HPC innovative technologies provide important computational and storage resources to support such requirements

  • Grid capability provides on-demand remote computational resources to execute in parallel independent simulations
  • Open Geospatial Consortium services (OGC) enable the geospatial data management with high abstraction capability
slide6

Grid

Prototype

Context

Flash floods

Conclusion

Distributing computing architecture enabling to share geographically distant resources to obtain important computing and storage capacities (Foster, 2001)

  • servers farms connection
  • resources virtualizing
  • important storage capacities
  • errors management
  • secured access system
  • interoperability

Super

computer

P2P

LAN

VPN

Distributed

computing

Internet

WAN

Grid access

by virtual organization

Cyclops based on the middleware

gLite

(EGEE)

- GRID

- Gridcomputing

- Metacomputing

slide7

Grid

Prototype

Context

Flash floods

Conclusion

SSH

HTTP

slide8

Flash floods

Prototype

Context

Grid

Conclusion

Efficient flash flood anticipation (few hours) requires more intensive computation and an adapted operational system to allow on-demand forecasting simulations of the whole of SPCGD watersheds

slide9

Flash floods

Prototype

Context

Grid

Conclusion

slide10

Flash floods

Prototype

Context

Grid

Conclusion

measuring stations

Expertise broadcasting

Rainfall radar

Geographical information system and

hydrological simulation

Watersheds data

slide11

Flash floods

Prototype

Context

Grid

Conclusion

measuring stations

Expertise broadcasting

Rainfall radar

Geographical information system and

hydrological simulation

Watersheds data

slide12

Flash floods

Prototype

Context

Grid

Conclusion

slide13

Flash floods

Prototype

Context

Grid

Conclusion

Cells independency…

slide14

Flash floods

Prototype

Context

Grid

Conclusion

Cells independency…

slide15

Prototype

Flash floods

Context

Grid

Conclusion

Watersheds data

slide16

Prototype

Flash floods

Context

Grid

Conclusion

slide17

Prototype

Flash floods

Context

Grid

Conclusion

slide18

Prototype

Flash floods

Context

Grid

Conclusion

Ex: Variations of 50% with a forecasting delay of 3h => 21 ALHTAÏR instances

  • Local ≈ 200 minutes
  • Grid ≈ 15 - 30 minutes
slide19

Conclusion

Flash floods

Context

Grid

Prototype

  • This improved system gives forecasters a wide range of forecasting options on the whole of SPC-GD watersheds
  • Grid-enabled OWS potentially enhances grid using for inexpert users by its capacity to wrap already prepared grid actions
  • Grid-enabled OWS architecture might permit the integration in a rapid way of new operational models in order to:
    • design a multi-models platform dedicated to the monitoring of the whole of hydrological phenomena occurring in S-E of France
    • have an on-demand flexible and parametric hydrologic workflow
  • Meteorological forecasting scenarios have to be more realistic according to well-known past meteorological situations
    • Simulation processes can easily be manage outside the risk zones
slide20

Prospects

Flash floods

Context

Grid

Prototype

Raw and modelized data integration

  • rivers
  • Sensors outputs
  • watersheds characteristics
  • radar data
  • Hydrological simulations outputs
  • hydro-meteorological monitoring
  • Observed and modelized runoffs
  • Automatic alert thresholds

Towards

a decision support system

enabling grid and local

processing virtualization

and hydro-meteorological

data integration

Query and geoprocessing operations

  • Stations and rivers search
  • Parametric meteorological accumulation
  • Parametric radar animations
slide21

Thank you for your attention !

Special thanks for CEOS WGISS … and for all CYCLOPS and ESR partners for their helps in this research !