ACASA - Confex...By 26% Shorter snow season for top heavy biomass structure ACASA Introduction...

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ACASA Simulation of Surface Energy Fluxes & Snow Interception Using a Higher Order Closure Multi-Layer Soil-Vegetation-Atmospheric Model

Transcript of ACASA - Confex...By 26% Shorter snow season for top heavy biomass structure ACASA Introduction...

  • ACASA

    Simulation of Surface Energy Fluxes & Snow Interception Using a Higher Order Closure Multi-Layer

    Soil-Vegetation-Atmospheric Model

  • Snow cover is a critical driver of energy and water budget yet lack accurate modeling

    1. State Of Sierra Forests Report Web

    mcgowan.ucdavis.edubiomicromet.ucdavis.edu

    Laura [email protected]

    ACASA Introduction Methods Results Conclusion

  • Vertical structure & its variation complicate snow processes and modeling

    • However few studies explicitly model complex processes in multiple vertical layers!

    ACASA Introduction Methods Results Conclusion

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    Laura [email protected]

  • Most studies of forest structure impact on snow processes only look at planar variables

    ACASA Introduction Methods Results Conclusion

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  • Objective:Simulate differing forest canopy structures’

    impact on energy & snow budgets

    in Sierra Nevada, CAusing a multilayer soil-canopy-atmosphere model

    ACASA Introduction Methods Results Conclusion

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  • Temperature, humidity, shortwave radiation, CO2, wind speed, pressure

    10 layerswithin-canopy

    4 soil layers

    10 layersabove-canopy

    Image modified from Eric Kent © 2015

    9 sunlit leaf angles1 shaded leaf angle

    Energy budget, temperature, physiology, radiative transfer

    equations and water budget

    Snow

    ACASA Introduction Methods Results Conclusion

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  • Below canopy snowpack

    Snow processes in ACASA Precipitation

    ThroughfallInterception

    Melt

    Drip

    Evaporation/sublimation

    Evaporation/sublimation

    ACASA Introduction Methods Results Conclusion

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    Soil

  • Simulated grassland & 3 tree canopy types

    Canopy parametersGrassland Cedar

    Umbrellapine

    Fir

    • 1-sided total plant area indices

    • Canopy architecture

    • Leaf/canopy drag coefficient

    • Canopy height

    • Near infrared reflectivity

    • Visible leaf reflectivity

    ACASA Introduction Methods Results Conclusion

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  • ACASA Introduction Methods Results Conclusion

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  • Average late winter below canopy snowpack depth

    (m)

    Grass 1.84

    Fir 0.53

    Larch 0.42

    Umbrella Pine 0.37

    Evaporation <By 26%

    Shorter snow season for top heavy biomass structure

    ACASA Introduction Methods Results Conclusion

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    Fir Larch Umbrella Pine

    Difference in onset of beneath canopy snowpack melt from grassland control (days)

    Evaporation <By 31%

    12 16 18

  • 0.02.04.06.08.0

    10.012.014.016.018.020.0

    -25.00 -20.00 -15.00 -10.00 -5.00 0.00 5.00 10.00

    Height above ground (m)

    Latent heat flux (W m-2)

    EvaporationCondensation

    Counter-gradient fluxes occur frequently

    ACASA Introduction Methods Results Conclusion

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    Laura [email protected]

  • Conclusion

    ACASA Introduction Methods Results Conclusion

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  • Acknowledgements

    ACASA

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  • References

    ACASA

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