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Global Hydrologic Data Development
presented by Kwabena Asante acknowledgements Dr David R. Maidment Dr Francisco Olivera Dr Jay Famiglietti Center for Research in Water Resources The University of Texas at Austin
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GIS Hydro ‘99: Digital Atlas
Digital Atlas of the World Water Balance The Digital Atlas contains 24 grids 6 coverages of processed terrain data for continental scale hydrologic modeling including
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Data Structure
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Preprocessing Data 30” DEMs from EROS Data Center, USGS Lower datum
Mean Sea Level New Reference Datum Lower datum 1 km Project
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Basic Map Projections
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Projection Parameters
Lambert Azimuthal Equal Area Projection Cell size: 1000 m Projection Centers as defined by the USGS: Continent Longitude Latitude Africa 20o 0’ 0” 5o 0’ 0” Asia 100o 0’ 0” 45o 0’ 0” Australia 135o 0’ 0” -15o 0’ 0” Europe 55o 0’ 0” North America -100o 0’ 0” South America -60o 0’ 0”
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Projected View North America Europe Asia South America Africa
Australia
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Europe - Asia Divide Considerations: Drainage Basins No. of Grid Cells
Europe = 28 million Asia = 48 million Caspian Sea Drainage Basin Area = 5.4 million km2
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Pits and Inland Catchments
Assign NODATA Cells Inland Catchments Other Pits Fill Identify inland catchments and fill all other pits
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27 Major Inland Catchments
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Processed Terrain Grid
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Flow Direction Grids 1 2 4 8 16 32 64 128
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Flow Length Grids
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Flow Accumulation Grids
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Defining Basin Outlets: 3o Ocean Boxes
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1500 Major Drainage Basins
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USGS Hydro1k Delineation
Watersheds from USGS delineation Drainage Basins from this delineation
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GIS Hydro ‘99: Digital Atlas
Digital Atlas of the World Water Balance Processed terrain data Major Drainage Basins Processed Terrain Grids Flow Direction Grids Flow Length Grids Flow Accumulation Grids Documentation of the data development Links to previous versions of the atlas containing global hydrologic data including Precipitation Temperature Radiation Soil Water Holding Capacity
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Conclusions Derived hydrologic modeling parameters from the finest terrain data available Delineated Drainage Basins for sections of coastal-line using these data
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I’m done
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