Abstract
Abstract. Changes in precipitation over the European Alps are investigated with the regional climate model MAR (Modèle Atmosphérique Régional) applied with a 7 km resolution over the period 1903–2010 using the reanalysis ERA-20C as forcing. A comparison with several observational datasets demonstrates that the model is able to reproduce the climatology as well as both the interannual variability and the seasonal cycle of precipitation over the European Alps. The relatively high resolution allows us to estimate precipitation at high elevations. The vertical gradient of precipitation simulated by MAR over the European Alps reaches 33% km−1 (1.21 mm d−1 km−1) in summer and 38 % km−1 (1.15 mm d−1 km−1) in winter, on average, over 1971–2008 and shows a large spatial variability. A significant (p value < 0.05) increase in mean winter precipitation is simulated in the northwestern Alps over 1903–2010, with changes typically reaching 20 % to 40 % per century. This increase is mainly explained by a stronger simple daily intensity index (SDII) and is associated with less-frequent but longer wet spells. A general drying is found in summer over the same period, exceeding 20 % to 30 % per century in the western plains and 40 % to 50 % per century in the southern plains surrounding the Alps but remaining much smaller (<10 %) and not significant above 1500 m a.s.l. Below this level, the summer drying is explained by a reduction in the number of wet days, reaching 20 % per century over the northwestern part of the Alps and 30 % to 50 % per century in the southern part of the Alps. It is associated with shorter but more-frequent wet spells. The centennial trends are modulated over the last decades, with the drying occurring in the plains in winter also affecting high-altitude areas during this season and with a positive trend of autumn precipitation occurring only over the last decades all over the Alps. Maximum daily precipitation index (Rx1day) takes its highest values in autumn in both the western and the eastern parts of the southern Alps, locally reaching 50 to 70 mm d−1 on average over 1903–2010. Centennial maxima up to 250 to 300 mm d−1 are simulated in the southern Alps, in France and Italy, as well as in the Ticino valley in Switzerland. Over 1903–2010, seasonal Rx1day shows a general and significant increase at the annual timescale and also during the four seasons, reaching local values between 20 % and 40 % per century over large parts of the Alps and the Apennines. Trends of Rx1day are significant (p value < 0.05) only when considering long time series, typically 50 to 80 years depending on the area considered. Some of these trends are nonetheless significant when computed over 1970–2010, suggesting a recent acceleration of the increase in extreme precipitation, whereas earlier periods with strong precipitation also occurred, in particular during the 1950s and 1960s.
Highlights
The European Alps are often considered the “water tower” of continental Europe (Beniston et al, 2018), hosting the headwaters of several major European rivers, such as the Rhine, the Danube, the Po and the Rhône rivers
total precipitation amount (TP) simulated with MAR is relatively similar to TP estimated from SPAZM and shows stronger values with respect to EURO4M data over the Alps
Over Switzerland, this signal is small and not consistent with the observations that show a minor reduction in mean number of wet spells per season (MNWS). These results suggest that the decrease in the mean precipitation rates over the Alps in summer is explained by a drastic reduction in WD, with shorter and morefrequent wet spells without any strong change in simple daily intensity index (SDII)
Summary
The European Alps are often considered the “water tower” of continental Europe (Beniston et al, 2018), hosting the headwaters of several major European rivers, such as the Rhine, the Danube, the Po and the Rhône rivers. General circulation models (GCMs) are widely used to investigate climate change processes and trends Their coarse resolution precludes accurate simulations of small-scale processes typical of mountainous areas, such as those inducing the spatial heterogeneity of precipitation and snow cover. It is, difficult to study the Alpine climate variability with GCMs (Zubler et al, 2016). Most of the observational and modelling data used to investigate climate change in the European Alps generally do not combine a daily resolution, a centennial availability and a fine spatial resolution, precluding investigations of changes in mean and extreme precipitation This strongly limits the possibility to detect precipitation trends, especially when considering the large internal variability that may overwhelm longterm trends.
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