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Simple Sensitivity Analysis of Community Land Model using data from Sleepers River Watershed

Simple Sensitivity Analysis of Community Land Model using data from Sleepers River Watershed. Hydroclimatology Spring 2004 Dana Derickson, Sarah Doyle, Kelley Keese, Erick Leuro, Scout Skillman. Introduction. Sensitivity analysis on model created for the Sleepers River watershed in Vermont

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Simple Sensitivity Analysis of Community Land Model using data from Sleepers River Watershed

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  1. Simple Sensitivity Analysis of Community Land Model using data from Sleepers River Watershed Hydroclimatology Spring 2004 Dana Derickson, Sarah Doyle, Kelley Keese, Erick Leuro, Scout Skillman

  2. Introduction • Sensitivity analysis on model created for the Sleepers River watershed in Vermont • Vegetation ( ↑, ↓ in LAI; grasses → trees) • Soils (clay, sand) • Increasing Temperature by 2 degrees • 1-D model representative of a subwatershed (8.4 km2) • Characterized by C3 arctic and non-arctic grasses with a maximum LAI of 3.5 and silty soils

  3. Forcing Data • 5 years of forcing data from 1969 – 1974 • Hourly intervals • Air temperature • Precipitation • Specific Humidity • Wind speed • Incoming solar radiation • Incoming longwave radiation • Focused on the year of 1973

  4. Monthly Average Climate Data Sleepers River Watershed (1973)

  5. Monthly Average Climate Data Sleepers River Watershed (1973)

  6. Monthly Average Climate Data Sleepers River Watershed (1973)

  7. CLM Model

  8. Predicted Outcomebased on the energy budget(↑ S - ↓S) – (↑ L - ↓L) = LE + SE + G • C1: No Veg • ↓ Rn b/c albedo↑ with absence of canopy • ↓ SH and G b/c less Rn • ↑ in ground E flux but no T flux nor canopy E→ ↓ LE ↑ SMC

  9. Absorbed Solar Radiation

  10. Absorbed Infrared Longwave Radiation

  11. Sensible Heat Flux

  12. Ground Evaporation

  13. Canopy Evaporation

  14. Canopy Transpiration

  15. Soil Moisture Content

  16. Predicted vs. Actual Results

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