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What can we do with SWOT data? What are the policy implications that these data would have for water management?

SWOT and Water Management. What can we do with SWOT data? What are the policy implications that these data would have for water management? Daniel P. Loucks Cornell University. SWOT and Water Management. Water Management : Keeping everyone happy

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What can we do with SWOT data? What are the policy implications that these data would have for water management?

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  1. SWOT and Water Management • What can we do with SWOT data? • What are the policy implications that these data would have for water management? • Daniel P. Loucks • Cornell University

  2. SWOT and Water Management • Water Management: • Keeping everyone happy • With better data (forecasts) we can manage water better. • Will we? Mainly a social science issue.

  3. Cornell University

  4. Possible Management Applications? • DEM-based automated extraction of river basin and networkgeographical / topographical data • Improved input and parameter data for distributed rainfall-runoff modeling • Source of hydrologic data for missing or gaps in records. – for planning and management • Predictions of future flows, elevations, volumes • Improved real-time management (more effective joint reservoir operation, transboundary ops.) • Flood wave prediction in large basins, coastal areas • Other?

  5. Depends on time and space scales

  6. Watershed / River Basin Delineation Hydrogeomorphic properties (e.g. flow direction, upslope area, stream network, wetness index, hypsographic curves, width-function) for better rainfall-runoff modeling.

  7. Managing water stages over large areas

  8. ‘Real time’ water management: • Everglades, Florida

  9. Joint multi-reservoir operation

  10. Joint multi-reservoir operation

  11. Joint Multi-reservoir operation

  12. Predictions of snow pack and future flows / stages

  13. Predictions of snow pack and future flows / stages

  14. Predictions of snow pack and future flows / stages Avalanche Control Future reservoir inflows

  15. Prediction of stages/flows in rivers Mosel River, Germany

  16. Hazard predictions; detection of leaks, levee breaks, flooding

  17. Predicting flood stages in rivers and coastal areas

  18. Predicting flood stages in rivers and coastal areas

  19. Predicting flood stages in rivers and coastal areas • Rhine River, Germany, NL

  20. Issues: • Temporal and spatial resolution • Ground truth – calibration, precision, • quality assurance and control? • Data management, processing and • timely communication • Institutions. Regulations. Laws. • Policy implications – increased liability?

  21. Need for a data integration framework to meet standards and requirements

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