Search Results - "Fullhart, Andrew T."

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  1. 1

    Bulk density optimization to determine subsurface hydraulic properties in Rocky Mountain catchments using the GEOtop model by Fullhart, Andrew T., Kelleners, Thijs J., Chandler, Dave G., McNamara, James P., Seyfried, Mark S.

    Published in Hydrological processes (15-08-2019)
    “…Integrated watershed models can be used to calculate streamflow generation in snow‐dominated mountainous catchments. Parameterization of water flow is often…”
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    Journal Article
  2. 2

    Measured and modelled above‐ and below‐canopy turbulent fluxes for a snow‐dominated mountain forest using GEOtop by Fullhart, Andrew T., Kelleners, Thijs J., Speckman, Heather N., Beverly, Daniel, Ewers, Brent E., Frank, John M., Massman, William J.

    Published in Hydrological processes (30-08-2019)
    “…The prediction of snowmelt in mountainous forests strongly depends on the accurate description of sensible and latent heat turbulent fluxes. Uncertainty about…”
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    Journal Article
  3. 3

    Climate benchmarks and input parameters representing locations in 68 countries for a stochastic weather generator, CLIGEN by Fullhart, Andrew T, Nearing, Mark A, Armendariz, Gerardo, Weltz, Mark A

    Published in Earth system science data (15-02-2021)
    “…This dataset contains input parameters for 12 703 locations around the world to parameterize a stochastic weather generator called CLIGEN. The parameters are…”
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  4. 4

    Towards global coverage of gridded parameterization for CLImate GENerator (CLIGEN) by Fullhart, Andrew T., Ponce-Campos, Guillermo E., Meles, Menberu B., McGehee, Ryan P., Wei, Haiyan, Armendariz, Gerardo, Burns, Shea, Goodrich, David C.

    Published in Big earth data (02-01-2024)
    “…ABSTRACTStochastic weather generators create time series that reproduce key weather dynamics present in long-term observations. The dataset detailed herein is…”
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  5. 5

    Temporally downscaling a precipitation intensity factor for soil erosion modeling using the NOAA-ASOS weather station network by Fullhart, Andrew T., Nearing, Mark A., McGehee, Ryan P., Weltz, Mark A.

    Published in Catena (Giessen) (01-11-2020)
    “…•CLIGEN is a stochastic, point-scale, weather generator.•CLIGEN uses an intensity factor that requires high frequency measurements.•This factor may be…”
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    Journal Article