HR: 0800h
AN: C31A-0305    [Abstracts]
TI: Improved short-term operational streamflow forecasting for snow-melt dominated basins
AU: * Harshburger, B J
EM: hars7458@uidaho.edu
AF: University of Idaho, Department of Geography, Moscow, ID 83844-3021 United States
AU: Blandford, T R
EM: blan9320@uidaho.edu
AF: University of Idaho, Department of Geography, Moscow, ID 83844-3021 United States
AU: Moore, B C
EM: moor4743@uidaho.edu
AF: University of Idaho, Department of Geography, Moscow, ID 83844-3021 United States
AU: Humes, K S
EM: khumes@uidaho.edu
AF: University of Idaho, Department of Geography, Moscow, ID 83844-3021 United States
AU: Walden, V P
EM: vonw@uidaho.edu
AF: University of Idaho, Department of Geography, Moscow, ID 83844-3021 United States
AB: The Snowmelt Runoff Model (SRM) is a conceptually-based model that uses three commonly available input variables (precipitation, temperature, and percent snow covered area) and the degree-day (temperature-index) concept to simulate and forecast streamflow in snowmelt-dominated basins. This research investigates techniques for adding more physically-based methods to SRM while maintaining its conceptual framework and appeal to operational use. This includes the incorporation of relative humidity and wind speed data to improve model performance during rain-on-snow events and the evaluation of various basin disaggregation schemes to better account for sub-catchment variability. We will demonstrate the use of SNOTEL data to estimate model parameters. Results from running SRM in its traditional, conceptual fashion will be compared to results obtained by running a modified version of the model that utilizes more physically-based parameter estimation techniques.
DE: 3360 Remote sensing
DE: 3210 Modeling
DE: 1860 Runoff and streamflow
DE: 1863 Snow and ice (1827)
DE: 1884 Water supply
SC: Cryosphere [C]
MN: 2004 AGU Fall Meeting