Data Infrastructure for Wide-Area Hydrologic Modeling

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Data Infrastructure for Wide-Area Hydrologic
Modeling

• Greg Husak and Guleid Artan

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Potential Evapo-Transpiration (PET)

• Computed daily from Global Data Assimulation
  System (GDAS) data (generated every 6hrs)
• Penman Monteith Equation solved to obtain PET
  values
• Spatial domain Global
• Spatial Resolution 100 km grids (1o)
• Data Availability
• ftp//edcftp.cr.usgs.gov/pub/edcuser/fewsips

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Global PET for 2004
ftp//edcftp.cr.usgs.gov/pub/edcuser/fewsips/
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(No Transcript)
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Daily NOAA RFE Data Windows
ftp//edcftp.cr.usgs.gov/pub/edcuser/fewsips/
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Air Force Weather Agency Data Windows
(AFWA / NCAR / PSU MM5 Model )
ftp//edcftp.cr.usgs.gov/pub/edcuser/fewsips/
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HYDRO1K Elevation Derivative Dataset
http//edc.usgs.gov/products/elevation/gtopo30/hyd
ro/index.html
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USGS Global Land Cover Characterization Dataset
http//edcsns17.cr.usgs.gov/glcc/
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GeoSFM Database Components
Static Geographic Database
FAO Soil Data
Land Use/ Land Cover
Elevation Data
Vector Data such as rivers, basins,gauges

• Subbasins are the modeling units for water
  balance and routing
• Uniform naming convention used to identify rain
  and PET grids
• Dams and gauges identified by unique id as well
  as subbasin id

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Continental Flood Risk Monitoring
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Improved Model Precipitation

• Integrating available station data with satellite
  model could yield improved rainfall estimates at
  daily or sub-daily timesteps
• Preliminary work suggests good improvements at
  monthly and dekadal timesteps
• Improved precipitation inputs could lead to
  improved flood models

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Improved Rainfall at Watershed Level