Journal
ADVANCES IN WATER RESOURCES
Volume 135, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2019.103473
Keywords
Hydrologic modeling; Sensitivity analysis; Snow water equivalent; Active subspaces
Categories
Funding
- U.S. Department of Energy Office of Science BER [DE-SC0016491]
- U.S. Department of Energy (DOE) [DE-SC0016491] Funding Source: U.S. Department of Energy (DOE)
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The hydrology of high-elevation, mountainous regions is poorly represented in Earth Systems Models (ESMs), yet these ecosystems play an important role in the storage and land-atmosphere exchange of water. As much of the western United States' water comes from water stored in the snowpack (snow water equivalent, SWE), model representation of these regions is important. This study assesses how uncertainty in both model parameters and forcing affect simulated snow processes through sensitivity analysis (active subspaces) on model inputs (meteorological forcing and model input parameters) for a widely used snow model. Observations from an AmeriFlux tower at the Niwot Ridge research site are used to force an integrated, single-column hydrologic model, ParFlow-CLM. This study finds that trees can mute the effects of snow albedo causing the evergreen needleleaf scenarios to be sensitive primarily to hydrologic forcing while bare ground simulations are more sensitive to the snow parameters. The bare ground scenarios are most sensitive overall. Both forcing and model input parameters are important for obtaining accurate hydrologic model results.
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