Document PIHM manual calibration - Revision history

Gil: Added PropertyValue: Expertise = calibration

2015-10-19T13:58:30Z

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Gil: Added PropertyValue: Participants = Xuan Yu

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Gil: Set PropertyValue: Owner = Chris Duffy

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Hilary: Set PropertyValue: TargetDate = 2015-11-01

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Hilary: Set PropertyValue: StartDate = 2014-11-01

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Gil: Gil moved page PIHM manual calibration to Document PIHM manual calibration

2014-07-23T22:32:43Z

Gil moved page PIHM manual calibration to Document PIHM manual calibration

Steven at 00:38, 4 February 2014

2014-02-04T00:38:42Z

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← Older revision	Revision as of 22:32, 23 July 2014
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 Methods presently under development.
-=Temperature index snow accumulation and melt model==
+==Temperature index snow accumulation and melt model==
 We are presently using a simple model of spatially uniform snow accumulation and melt within the 1 km^2 catchment of our study area. [[File:2010_UpperProv_SWEmodTindex.jpg|200px|thumb|right|FIGURE 2. Modeled snow water equivalent using a temperature-index model compared to observations at a nearby snow pillow.]] We may add spatial variability in snow accumulation and melt at a later stage in this analysis, depending on our later objectives. The model uses the temperature index method, described in Kumar (2009, p. 100), consisting of 4 parameters: 2 parameters controlling the partitioning of new precipitation between snowfall and rainfall [Ts and Tr (deg C)], a parameter controlling the air temperature at which melt begins, and a parameter controlling the increase in melt rate with air temperature (m day^-1 degC^-1). These parameters are determined in an external Excel spreadsheet using a routine, solved with the Solver add-in, that minimizes the RMS error between the time series of modeled and observed snow water equivalent (SWE) (snow pillow). We are able to separate out the snow model from PIHM this way because of the independence between snowmelt and hydrologic fluxes in the modeling framework. We generally obtain RMS errors ranging between 2 and 4 cm SWE (Figure 2). We incorporated into PIHM the accumulation parameters Tr and Ts as calibration parameters in order to fine tune our calibrations. Figure 2 shows model results for full modeled SWE (100%) and 50% modeled SWE, the latter produced by setting Tr and Ts to values of -4.4 deg C.