Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models

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...

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Main Authors: P. Frei, S. Kotlarski, M. A. Liniger, C. Schär
Format: Article
Language:English
Published: Copernicus Publications 2018-01-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/12/1/2018/tc-12-1-2018.pdf
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spelling doaj-3b2ec1ed02294edfad7cab54f19019b12020-11-24T23:54:16ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242018-01-011212410.5194/tc-12-1-2018Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate modelsP. Frei0S. Kotlarski1M. A. Liniger2C. Schär3Institute for Atmospheric and Climate Sciences, ETH Zurich, 8006 Zurich, SwitzerlandFederal Office of Meteorology and Climatology, MeteoSwiss, 8058 Zurich Airport, SwitzerlandFederal Office of Meteorology and Climatology, MeteoSwiss, 8058 Zurich Airport, SwitzerlandInstitute for Atmospheric and Climate Sciences, ETH Zurich, 8006 Zurich, SwitzerlandTwenty-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.</p><p class="p">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.https://www.the-cryosphere.net/12/1/2018/tc-12-1-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author P. Frei
S. Kotlarski
M. A. Liniger
C. Schär
spellingShingle P. Frei
S. Kotlarski
M. A. Liniger
C. Schär
Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
The Cryosphere
author_facet P. Frei
S. Kotlarski
M. A. Liniger
C. Schär
author_sort P. Frei
title Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
title_short Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
title_full Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
title_fullStr Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
title_full_unstemmed Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
title_sort future snowfall in the alps: projections based on the euro-cordex regional climate models
publisher Copernicus Publications
series The Cryosphere
issn 1994-0416
1994-0424
publishDate 2018-01-01
description 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.</p><p class="p">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.
url https://www.the-cryosphere.net/12/1/2018/tc-12-1-2018.pdf
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