2013
DOI: 10.1002/hyp.9751
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Estimating source regions for snowmelt runoff in a Rocky Mountain basin: tests of a data‐based conceptual modeling approach

Abstract: In many mountain basins, river discharge measurements are located far away from runoff source areas. This study tests whether a basic snowmelt runoff conceptual model can be used to estimate relative contributions of different elevation zones to basin‐scale discharge in the Cache la Poudre, a snowmelt‐dominated Rocky Mountain river. Model tests evaluate scenarios that vary model configuration, input variables, and parameter values to determine how these factors affect discharge simulation and the distribution … Show more

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Cited by 15 publications
(22 citation statements)
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“…Jarrett and Costa [] noted that above the 2300 m elevation threshold in the Big Thompson River basin, rain does not contribute to flood potential and rainfall discharges per unit drainage area are very small. Kampf and Richer [] found that the majority of modeled runoff in the Cache La Poudre River watershed came from elevations higher than 2900 m, where there was persistent seasonal snow accumulation.…”
Section: Resultsmentioning
confidence: 99%
“…Jarrett and Costa [] noted that above the 2300 m elevation threshold in the Big Thompson River basin, rain does not contribute to flood potential and rainfall discharges per unit drainage area are very small. Kampf and Richer [] found that the majority of modeled runoff in the Cache La Poudre River watershed came from elevations higher than 2900 m, where there was persistent seasonal snow accumulation.…”
Section: Resultsmentioning
confidence: 99%
“…The model uses a daily temperature threshold ( T s ) to estimate whether precipitation on each day is rain or snow. Snow water equivalent (SWE) accumulates in each grid cell if temperature stays below T s ; if temperature rises above T s , snow is melted using the product of temperature and a melt coefficient (α) [ Kampf and Richer , ]. This simple modeling approach was selected because it requires only precipitation and temperature as forcing data and has only two parameters ( T s and α).…”
Section: Study Area and Methodsmentioning
confidence: 99%
“…Model tests and prior research [ Kampf and Richer , ] both found that SWE simulations were more sensitive to T s than to α, so we calibrated TopoWx simulations using varying values of T s and holding α constant at 3.0 mm d −1 ºC −1 . Calibrations were conducted for each grid cell containing a Natural Resource Conservation Service (NRCS) snow telemetry (SNOTEL) monitoring site (Figure ).…”
Section: Study Area and Methodsmentioning
confidence: 99%
“…To evaluate the two homogenization methods, a simple temperature‐based daily SWE model was applied to see which homogenization algorithm resulted in a better simulation of SWE after the model was calibrated. This model only uses observations of average temperature (T) in degrees Celsius, precipitation (P) in millimeters, and two parameters as follows: SWEi=SWEnormali1normalα0.25emTi0.25emif0.25emTi>Ts SWEi=SWEnormali1+Pitalicsnowi0.25emif0.25emTiTs where α is the melt coefficient parameter in mm/day/degree C, T s is the threshold temperature (average daily temperature) parameter separating rain and snow, and i indicates day (Kampf & Richer, ).…”
Section: Methodsmentioning
confidence: 99%