HR: 09:45h
AN: H21J-08 [Abstracts]
TI: Diagnosis of performance of the Noah LSM snow model
AU: * Livneh, B
EM: blivneh@u.washington.edu
AF: The University of Washington - Dept of Civil Engineering, Box 352700
Wilson Ceramics Laboratory, Seattle, WA 98195-2700, United States
AU: Lettenmaier, D P
EM: dennisl@u.washington.edu
AF: The University of Washington - Dept of Civil Engineering, Box 352700
Wilson Ceramics Laboratory, Seattle, WA 98195-2700, United States
AU: Mitchell, K
EM: Kenneth.Mitchell@noaa.gov
AF: NOAA National Centers for Environmental Prediction, 5200 Auth Rd., Rm 207, Camp
Springs, MD 20746, United States
AB:
Quantifying snow water equivalent (SWE) and runoff timing are vital in hydrologic modeling, especially for
snowmelt driven regimes such as the western U.S. and the pan-Arctic. The Noah land-surface model, used in
the National Center for Environmental Prediction's operational suite of weather and climate
forecast models, has shown a tendency toward ablation of snowpacks earlier than in observations in off-line
tests. We report a diagnosis of the sensitivities of various components of the snow scheme in the Noah model
that might affect snow ablation. We find that issues with the model's turbulent exchange
schemes, and its radiative exchange formulations appear to be the main contributors to the negative SWE bias
during the ablation season. Using modified albedo and surface exchange schemes, we test alternative
formulations both using point observations at observing sites in mountain maritime locations in the Pacific
Northwest, and in the interior of the western U.S. and Canada, as well as in simulations of seasonal variations of
snow extent over the entire pan-Arctic drainage. Our results suggest that the a modest change in the snow
albedo formulation results in the greatest improvement in model performance, although under some conditions
an alternation in the turbulent exchange parameterization produces improved results as well.
DE: 1863 Snow and ice (0736, 0738, 0776, 1827)
SC: Hydrology [H]
MN: 2007 Fall Meeting