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Nick van de Giesen Water for Food
- 1. Water for Food Global Monitoring and Modeling of the WFI UNL 24 January 2013 Terrestrial Hydrological Cycle Nick van de Giesen nick@citg.tudelft.nl Water Management Civil Engineering and Geosciences Technical University Delft
- 2. Water for Food Challenge Population: +40% Agricultural water withdrawals: 70% WFI UNL 24 January 2013 Source: B.Schultz UNESCO-IHE
- 3. Water for Food Challenge The Green-Blue Revolution WFI UNL 24 January 2013 will be knowledge intensive and location specific
- 4. Water for Food Challenge Knowledge generation WFI UNL 24 January 2013 Top down Bottom up
- 5. Water for Food Challenge Knowledge generation WFI UNL 24 January 2013 Bottom up
- 6. Water for Food Challenge Knowledge generation Top down WFI UNL 24 January 2013 Source: Minnesota Historical Society, Wikimedia
- 7. Water for Food Top down WFI UNL 24 January 2013 Global hydrological model
- 8. Water for Food Approach Model WFI UNL 24 January 2013 Ground Remote Observations Sensing Global hydrological model
- 9. Water for Food Model WFI UNL 24 January 2013 Big machine: 100 T flops Source: Argonne National Laboratory, Wikimedia
- 10. Water for Food Model WFI UNL 24 January 2013 World
- 11. Water for Food Model WFI UNL 24 January 2013 One pixel • 1 ha (SRTM) • 50 params 500 FLO / pixel evaluation • 10 FLO/param
- 12. Water for Food Model WFI UNL 24 January 2013 One update 2*108 km2 * 100 pix/km2 * 500 FLO/pix = 1013 FLO/Update
- 13. Water for Food Model WFI UNL 24 January 2013 One update per 1000 s 1013 / 1000 = 1010 FLOPS
- 14. Water for Food Model WFI UNL 24 January 2013 We have 1014 FLOPS 10,000 runs in real time!
- 15. WFI UNL 24 January 2013 Model Water for Food
- 16. Water for Food Model WFI UNL 24 January 2013 River runoff,Mm3/yr*pix @ 6’ resolution, PCGLOBWB, Marc Bierkens
- 17. Water for Food Model WFI UNL 24 January 2013 River runoff,Mm3/yr*pix @ 6’ resolution, PCGLOBWB, Marc Bierkens
- 18. Water for Food Approach Model WFI UNL 24 January 2013 Ground Remote Observations Sensing Global hydrological model
- 19. Water for Food Remote sensing WFI UNL 24 January 2013 Prof. Wim Bastiaanssen, eLeaf
- 20. Water for Food Approach Model WFI UNL 24 January 2013 Ground Remote Observations Sensing Global hydrological model
- 21. Water for Food Ground observations WFI UNL 24 January 2013
- 22. Water for Food Ground observations WFI UNL 24 January 2013
- 23. Water for Food Ground observations WFI UNL 24 January 2013
- 24. Water for Food Ground observations WFI UNL 24 January 2013 Trans-African Hydro-Meteorological Observatory
- 25. Water for Food Ground observations WFI UNL 24 January 2013 Trans-African Hydro-Meteorological Observatory
- 26. Water for Food Ground observations 20,000 stations WFI UNL 24 January 2013 1 every 35 km $200 / station Trans-African Hydro-Meteorological Observatory
- 27. Water for Food Ground observations WFI UNL 24 January 2013 Trans-African Hydro-Meteorological Observatory
- 28. Water for Food Ground observations Rain WFI UNL 24 January 2013 Coen Degen Trans-African Hydro-Meteorological Observatory
- 29. Water for Food Ground observations Rain WFI UNL 24 January 2013 Coen Degen Es x (t ) dt f ( r , vd , , H ) 2 Trans-African Hydro-Meteorological Observatory
- 30. Water for Food Ground observations Rain WFI UNL 24 January 2013 Es 8 1010 D7,34 Coen Degen Trans-African Hydro-Meteorological Observatory
- 31. Water for Food Ground observations One sensor down… WFI UNL 24 January 2013 Trans-African Hydro-Meteorological Observatory
- 32. Water for Food Ground observations WFI UNL 24 January 2013 Crowd sourcing http://tahmo.info Trans-African Hydro-Meteorological Observatory
- 33. Water for Food Approach (top-down) Model WFI UNL 24 January 2013 Ground Remote Observations Sensing Global hydrological model
- 34. Water for Food Thank you for your attention! WFI UNL 24 January 2013 Nick van de Giesen nick@citg.tudelft.nl Water Management Civil Engineering and Geosciences Technical University Delft