Snowmelt is a very important component of freshwater resources in the polar environment. Seasonal fluctuations in the water supply to glacial drainage systems influence glacier dynamics and indirectly affect water circulation and stratification in fjords. Here, we present spatial distribution of the meltwater production from the snow cover on Hansbreen in southern Spitsbergen. We estimated the volume of freshwater coming from snow deposited over this glacier. As a case study, we used 2014 being one of the warmest season in the 21st century. The depth of snow cover was measured using a high frequency Ground Penetrating Radar close to the maximum stage of accumulation. Simultaneously, a series of studies were conducted to analyse the structure of the snowpack and its physical properties in three snow pits in different glacier elevation zones. These data were combined to construct a snow density model for the entire glacier, which together with snow depth distribution represents essential parameters to estimate glacier winter mass balance. A temperature index model was used to calculate snow ablation, applying an average temperature lapse rate and surface elevation changes. Applying variable with altitude degree day factor, we estimated an average daily rate of ablation between 0.023 m d-1 °C-1 (for the ablation zone) and 0.027 m d-1 °C-1 (in accumulation zone). This melting rate was further validated by direct ablation data at reference sites on the glacier. An average daily water production by snowmelt in 2014 ablation season was 0.0065 m w.e. (water equivalent) and 41.52·106 m3 of freshwater in total. This ablation concerned 85.5% of the total water accumulated during winter in snow cover. Extreme daily melting exceeded 0.020 m w.e. in June and September 2014 with a maximum on 6th July 2014 (0.027 m w.e.). The snow cover has completely disappeared at the end of ablation season on 75.8% of the surface of Hansbreen.
Decisions involving comparisons of Arabic number digits often exhibit an interference between the physical size of the digit and the implied numerical magnitude, a phenomenon called the size-congruity effect. Related research over the past four decades has yielded two competing models of the phenomenon: an early interaction account, where interference between numerical and physical magnitude occurs at an early encoding stage, and a late interaction account, where the interference occurs downstream as response competition during the decision process. In the present study, we asked participants to compare the physical sizes of pairs of Arabic digits. We fit the resulting response time distributions with a shifted Wald model, a single boundary accumulator model, which gave us estimates of information accumulation rate (drift rate), response threshold, and nondecision time. We found that incongruity between physical size and numerical magnitude affected the decision-related estimates of drift rate and response threshold. Further, a Bayesian analysis confirmed a null effect of congruity on nondecision time. These results indicate that the observed interference originates from decision-related processes, lending further support for a late interaction account of the size-congruity effect.