About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Robustness of European climate projections from dynamical downscaling

From

Norwegian Research Centre1

Danish Meteorological Institute2

Climate Risks and Economics, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark3

Sustainability, Department of Technology, Management and Economics, Technical University of Denmark4

Department of Technology, Management and Economics, Technical University of Denmark5

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.

Language: English
Publisher: Springer Berlin Heidelberg
Year: 2019
Pages: 4857-4869
Journal subtitle: Observational, Theoretical and Computational Research on the Climate System
ISSN: 14320894 and 09307575
Types: Journal article
DOI: 10.1007/s00382-019-04831-z
ORCIDs: 0000-0002-9908-8203 , Drews, Martin , 0000-0002-6940-6442 , Larsen, Morten A.D. and 0000-0002-9513-2588

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis