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Model Parameter Estimation Experimant (MOPEX)

Explore the most appropriate models for different climatic and physiographic regions, robust parameter estimation methods, uncertainty bounds for ungauged basins, and reliable calibration methods. Participants from various universities and institutes analyze MOPEX basins in desert, steppe, tundra, and forest environments.

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Model Parameter Estimation Experimant (MOPEX)

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  1. Model Parameter Estimation Experimant (MOPEX)

  2. Science Issues • What models are most appropriate for different climatic and physiographic regions? • What are the most robust parameter estimation methods? • What are the uncertainty bounds for ungauged basin applications? • What are the most robust calibration methods?

  3. NWS (SWB & SAC) Meteo France (ISBA) Russian Academy of Science (SWAP) UC Berkeley / Princeton (VIC) Cemagref, France (GR4J) NCEP (NOAH) USGS (PRMS) Yamanashi University (BTOPMC) Swedish Meteor. and Hydro. Institute, Sweden (HBV) University of Alberta, Canada (SAC) Participants • University of Arizona • University of Newcastle, Australia • Centre for Ecology and Hydrology, UK • Oregon State University • Wageningen University, The Netherlands • National Institute of Hydrology, Canada • University of New Hampshire

  4. Location of MOPEX Basins

  5. desert steppe tundra Climatic Hydrologic Ratios forest

  6. Annual runoff estimates

  7. A Priori Results- Average and Standard Deviation of Daily Efficiency

  8. A Priori Results- Average Daily Efficiency of 6-Best & Worst Basins

  9. Calibration- Average and Standard Deviation of Daily Efficiency

  10. Calibration-Average Daily Efficiency of 6-Best & Worst Basins

  11. Hydrologic landscape regions • A statistical clustering (20 clusters) of the factors that define hydrologic landscapes • Among-region variability in the factors is maximized and within-region variability is minimized

  12. Hydrologic landscapes: A combination of natural factors (climate, geology, and terrain) expected to affect hydrologic transport processes

  13. Precip – Potential evapotranspiration Percent sand Bedrock permeability Topography Factors used to define hydrologic landscape regions

  14. Expanded a priori Parameter Estimation Study Hydrologic Landscape Regions Selected Basins

  15. GIS WEASEL

  16. DIGITAL DATABASES (1 km2 resolution) Vegetation Type (USFS) Vegetation Density (USFS) Land Use-Land Cover (USGS)

  17. STATSGO - Soils Data, 1 km2 (USDA)

  18. SW Solar Radiation Climatological monthly means Interpolated (multiple linear regression)

  19. PET MapsClimatological Monthly Means(NOAA)

  20. MOPEX Basins MOPEX Strategy

  21. 20 Hydrologic Landscape Regions (61 basins)

  22. 20 Hydrologic Landscape Regions (46 basins)

  23. 20 Hydrologic Landscape Regions (46 basins) 18 16 15 9 16 7

  24. 438 U.S. Basins Meet Criteria for MOPEX Basin Selection Criteria: Number of Precipitation Gages > 0.6 * Area**0.3 Gage Density vs Basin Size Location of basins with Adequate gage density

  25. International Contributed Data Sets (58 basins to date) • Australia – University of Melbourne • U.K. – CEH • France – Meteo France • China

  26. Possible Additional Basins • Germany • Sweden • Austria • Tanzania • Global monthly (UNH) • Canada • Japan • Brazil • Others?

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