Abstract

How climate change will unfold in the years to come is a central topic in today’s environmental debate, in particular at the regional level. While projections using large ensembles of global climate models consistently indicate a future decrease in summer precipitation over southern Europe and an increase over northern Europe, individual models substantially modulate these distinct signals of change in precipitation. So far model improvements and higher resolution from regional downscaling have not been seen as able to resolve these disagreements. In this paper we assess whether 2 decades of investments in large ensembles of downscaling experiments with regional climate model simulations for Europe have contributed to a more robust model assessment of the future climate at a range of geographical scales. We study climate change projections of European seasonal temperature and precipitation using an ensemble-suite comprised by all readily available pan-European regional model projections for the twenty-first-century, representing increasing model resolution from ~ 50 to ~ 12 km grid distance, as well as lateral boundary and sea surface temperature conditions from a variety of global model simulations. Employing a simple scaling with global mean temperature change we identify emerging robust signals of future seasonal temperature and precipitation changes also found to resemble current observed trends, where these are judged to be statistically significant.

Highlights

  • For more than 2 decades, coordinated efforts of applying regional climate models (RCMs) to downscale global climate model (GCM) simulations for Europe have been pursued by an ever-increasing group of scientists (Rummukainen et al 2015; Rummukainen 2016)

  • The patterns of change of annual mean temperature and precipitation can be found to compare well with the results from global models. This apparent robustness of the P–E–C sequence represents an important contribution to credibility of the projections provided by the EuroCORDEX data set representing the current state of the art

  • It is not well established how to attribute the observed trends between decadal scale natural variations and a forced signal associated with global warming

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Summary

Introduction

For more than 2 decades, coordinated efforts of applying regional climate models (RCMs) to downscale global climate model (GCM) simulations for Europe have been pursued by an ever-increasing group of scientists (Rummukainen et al 2015; Rummukainen 2016). Along with the overall coordination, model resolutions have increased from a grid point distance of about 50 km (PRUDENCE) to 12 km (Euro-CORDEX11) and from time slice simulations covering 30 years (PRUDENCE) to transient experiments representing the time span of 1951–2100 (ENSEMBLES and CORDEX); from two, but one dominating, driving GCMs and the SRES (Nakicenovic et al 2000) A2 and B2 emission scenarios (PRUDENCE) to several GCMs (Euro-CORDEX) and multiple RCP (Meinshausen et al 2011) scenarios This wealth of simulations has mainly been used to provide a measure of baseline change according to a particular emission scenario, or relating to the passage of global mean temperature thresholds, e.g., 2 °C (Vautard et al 2014). This comparison is not an attempt to assess to what extent the observed changes are anthropogenic in origin, but to demonstrate whether or not the projected changes found using the P–E–C suite of models resemble current long-term observed trends when these are robust and statistically significant

Methods
Climate scenarios and pattern scaling
Uncertainty metrics and robustness definitions
EOF analysis
Comparison to observed trends
Seasonal temperature and precipitation change
EOF analyses
Observed trends
Discussion and conclusion
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