On the Direct Calculation of Snow Water Balances Using Snow Cover Information

Abstract

Abstract:We present a novel method for the direct determination of the snowmelt coefficient of widely used degree-day models, using only cumulated temperature and precipitation over the days of snow cover. We develop a proof of concept using (1) local measurements of precipitation, temperature and snow water equivalent (SWE) at a set of well-monitored sites in the US, and (2) available time series of snow cover from satellite and gridded daily precipitation and daily average temperature for the study region of South Tyrol, in the Italian Alps. We demonstrate how the method can reproduce the snow water balance to an acceptable extent, critically depending on the accuracy of input precipitation and temperature, highlighting the importance of a reliable representation of weather forcing if the estimate has to be robust and representative. Although not always accurate at a point, our approach yields a SWE reasonably consistent with observations, and snowmelt flows compatible with measured streamflow. At the same time, the model allows an interpretation of discrepancies between observations and simulations to detect inconsistencies between snow cover and weather forcing. This method is in principle applicable for large-scale hydrological assessments thanks to the increasing global coverage of snow cover, precipitation and temperature data. As the only other type of observation available to calibrate models is often streamflow, the direct calibration of the snow component of a model using snow cover and weather forcing reduces the number of model processes and parameters to be calibrated with streamflow, and is expected to increase model robustness.

Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis

“…The melt coefficient approach (also called the melt factor, degree-day-factor, or degree-day ratio) was used for calculation of runoff depth Xs for the period of snow thaw. This type of modelling was designed in the years 1956-1969, and its effectiveness is well known [42,43]. The current version (Figure 5) is the combination of the models [44][45][46][47], using maximum depth of snow pack Hs (as water equivalent), precipitation P, air temperature T and evaporation E values from reanalysis.…”

Assessment of the Role of Snowmelt in a Flood Event in a Gauged Catchment

“…Other authors have developed rain-snow separation methods within time series and their lag with runoff [10][11][12]. Pistocchi et al [13] uses data from the temporal estimate of the snow cover thickness to study the time lag. DeBeer and Pomeroy [14] models the relationships between snow cover depletion and the influence of snow accumulation heterogeneity and melting energy.…”