Abstract
Abstract. Twenty-first century snowfall changes over the European Alps are assessed based on high-resolution regional climate model (RCM) data made available through the EURO-CORDEX initiative. Fourteen different combinations of global and regional climate models with a target resolution of 12 km and two different emission scenarios are considered. As raw snowfall amounts are not provided by all RCMs, a newly developed method to separate snowfall from total precipitation based on near-surface temperature conditions and accounting for subgrid-scale topographic variability is employed. The evaluation of the simulated snowfall amounts against an observation-based reference indicates the ability of RCMs to capture the main characteristics of the snowfall seasonal cycle and its elevation dependency but also reveals considerable positive biases especially at high elevations. These biases can partly be removed by the application of a dedicated RCM bias adjustment that separately considers temperature and precipitation biases.Snowfall projections reveal a robust signal of decreasing snowfall amounts over most parts of the Alps for both emission scenarios. Domain and multi-model mean decreases in mean September–May snowfall by the end of the century amount to −25 and −45 % for representative concentration pathway (RCP) scenarios RCP4.5 and RCP8.5, respectively. Snowfall in low-lying areas in the Alpine forelands could be reduced by more than −80 %. These decreases are driven by the projected warming and are strongly connected to an important decrease in snowfall frequency and snowfall fraction and are also apparent for heavy snowfall events. In contrast, high-elevation regions could experience slight snowfall increases in midwinter for both emission scenarios despite the general decrease in the snowfall fraction. These increases in mean and heavy snowfall can be explained by a general increase in winter precipitation and by the fact that, with increasing temperatures, climatologically cold areas are shifted into a temperature interval which favours higher snowfall intensities. In general, percentage changes in snowfall indices are robust with respect to the RCM postprocessing strategy employed: similar results are obtained for raw, separated, and separated–bias-adjusted snowfall amounts. Absolute changes, however, can differ among these three methods.
Highlights
Snow is an important resource for the Alpine regions, be it for tourism, hydropower generation or water management (Abegg et al, 2007)
On regional and local scales rising temperatures exert a direct influence on snow cover in two ways: first, total snowfall sums are expected to decrease as a result of a lower probability for precipitation to fall as snow, implying a decreasing overall snowfall fraction
We first carry out an illustrative comparison of regional climate model (RCM) raw snowfall amounts against station observations of snowfall in order to determine whether the simulated RCM snowfall climate contains valid information despite systematic biases
Summary
Snow is an important resource for the Alpine regions, be it for tourism, hydropower generation or water management (Abegg et al, 2007). Consideration of changes in snow climatology needs to address aspects of both snow cover and snowfall. Projections of future snow cover changes based on climate model simulations indicate a further substantial reduction (Schmucki et al, 2015a; Steger et al, 2013), which is strongly linked to the expected rise in temperatures (e.g. CH2011, 2011; Gobiet et al, 2014). On regional and local scales rising temperatures exert a direct influence on snow cover in two ways: first, total snowfall sums are expected to decrease as a result of a lower probability for precipitation to fall as snow, implying a decreasing overall snowfall fraction
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.