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
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
Data Structure
Preprocessing Data 30” DEMs from EROS Data Center, USGS Lower datum Mean Sea Level New Reference Datum Lower datum 1 km Project
Basic Map Projections
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”
Projected View North America Europe Asia South America Africa Australia
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
Pits and Inland Catchments Assign NODATA Cells Inland Catchments Other Pits Fill Identify inland catchments and fill all other pits
27 Major Inland Catchments
Processed Terrain Grid
Flow Direction Grids 1 2 4 8 16 32 64 128
Flow Length Grids
Flow Accumulation Grids
Defining Basin Outlets: 3o Ocean Boxes
1500 Major Drainage Basins
USGS Hydro1k Delineation Watersheds from USGS delineation Drainage Basins from this delineation
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
Conclusions Derived hydrologic modeling parameters from the finest terrain data available Delineated Drainage Basins for sections of coastal-line using these data
I’m done