Snow processes
For each cell, a dynamic snow storage is simulated at a daily time step, adopted from the model presented by Kokkonen et al. (2006). The model keeps track of a snow storage, which is fed by precipitation and generates runoff from snowmelt. Refreezing of snowmelt and rainfall within the snowpack are simulated as well.
Snow and rainfall
Depending on a temperature threshold, precipitation is defined as falling in either solid or liquid form. Daily snow accumulation, which is defined as solid precipitation, is calculated as:
Equation 13
with Ps,t(mm) the snowfall on day t, Pet(mm)the effective precipitation on day t, Tavg,t(°C) the mean air temperature on day t, and Tcrit(°C) a calibrated temperature threshold for precipitation to fall as snow. The precipitation that falls as rain is defined as liquid precipitation, and is calculated as:
Equation 14
with Pl,t(mm) being the amount of rainfall on day t.
Snowmelt, refreezing, and storage
To simulate snowmelt, the well-established and widely used degree-day melt modeling approach is used (Hock 2003). The application of degree-day models is widespread in cryospheric models and is based on an empirical relationship between melt and air temperature. Degree-day models are easier to set up compared to energy-balance models, and only require air temperature, which is mostly available and relatively easy to interpolate (Hock 2005). Using a degree-day modeling approach, the daily potential snowmelt is calculated as follows:
Equation 15
with Apot,t(mm) the potential snowmelt on day t, andDDFs(mm°C−1d−1) a calibrated degree-day factor for snow. The actual snowmelt is limited by the snow storage at the end of the previous day, and is calculated as:
Equation 16
with Aact,t(mm) the actual snowmelt on day t, and SSt−1(mm) the snow storage on day t−1. The snow storage from dayt−1is then updated to the current day t , using the actual snowmelt (Aact,t) and the solid precipitation (Ps,t). Part of the actual snowmelt freezes within the snowpack and thus does not run off immediately. When temperature is below the melting point, meltwater that has frozen in the snowpack during t−1 is added to the snow storage as:
Equation 17
with SSt the snow storage on day t, SSt−1 the snow storage on day t−1,Ps,t the solid precipitation on day t, Aact,t the actual snowmelt on day t, and SSWt−1 the amount of frozen meltwater on day t−1. The units for all terms are mm.
The capacity of the snowpack to freeze snowmelt is characterized by introducing a calibrated water storage capacity(SSC(mm⋅mm−1)), which is the total water equivalent of snowmelt (mm) that can freeze per mm water equivalent of snow in the snow storage. The maximum of meltwater that can freeze(SSWmax(mm)) is thus limited by the thickness of the snow storage:
Equation 18
Then the amount of meltwater stored in the snowpack, and that can freeze in the next time step, is calculated as:
Equation 19
with SSWt the amount of meltwater in the snowpack on day t, SSWmax,t the maximum of meltwater that can freeze on day t−1, SSWt−1 the amount of frozen meltwater on day t−1, Pl,t the amount of rainfall on day t, and Aact,t the actual snowmelt on day t. The units of all terms are in mm.
The total snow storage (SST (mm)) consists of the snow storage and the meltwater that can freeze within it, according to:
Equation 20
with (1 – GlacF) (–) the grid-cell fraction not covered with glaciers. In SPHY it is therefore assumed that snow accumulation and snowmelt can only occur on the grid-cell fraction determined as land surface. Snow falling on glaciers is incorporated in the glacier module.
Snow runoff
Runoff from snow (SRo (mm)) is generated when the air temperature is above melting point and no more meltwater can be frozen within the snowpack, according to:
Equation 21
with ΔSSW(mm) the change in meltwater stored in the snowpack according to:
Equation 22
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