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What can we do with SWOT data?

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SWOT and Water Management * * * * * * * * * * * * * * * SWOT and Water Management Water Management: Keeping everyone happy With better data (forecasts) we can ... – PowerPoint PPT presentation

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Title: What can we do with SWOT data?


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.

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4
  • Possible Management Applications?
  • DEM-based automated extraction of river basin
    and network geographical / 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
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10
Joint multi-reservoir operation
11
Joint multi-reservoir operation
12
Joint Multi-reservoir operation
13
Predictions of snow pack and future flows / stages
14
Predictions of snow pack and future flows / stages
15
Predictions of snow pack and future flows / stages
Avalanche Control Future reservoir inflows
16
Prediction of stages/flows in rivers
Mosel River, Germany
17
Hazard predictions detection of leaks, levee
breaks, flooding
18
Predicting flood stages in rivers and coastal
areas
19
Predicting flood stages in rivers and coastal
areas
20
Predicting flood stages in rivers and coastal
areas
Rhine River, Germany, NL
21
  • 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?

22
Need for a data integration framework to meet
standards and requirements
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