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Climate change impacts and vulnerability in Europe 2016

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Changes <strong>in</strong> the climate system<br />

assessments can be more detailed than <strong>in</strong> regions<br />

with a small number of stations or with short records.<br />

Limited data availability is particularly detrimental for<br />

the detection of long-term climate trends <strong>in</strong> extreme<br />

events (see Section 3.1.5). Increased data shar<strong>in</strong>g by<br />

meteorological services would improve the accuracy<br />

of regional climate <strong>change</strong> assessments, <strong>in</strong>clud<strong>in</strong>g<br />

underst<strong>and</strong><strong>in</strong>g of past <strong>and</strong> future climate <strong>and</strong> weather<br />

extremes.<br />

There is strong evidence that observed <strong>change</strong>s <strong>in</strong><br />

many climate variables, <strong>in</strong>clud<strong>in</strong>g extremes, can be<br />

attributed to anthropogenic climate <strong>change</strong> (Hegerl<br />

<strong>and</strong> Zwiers, 2011; B<strong>in</strong>doff et al., 2013; Trenberth<br />

et al., 2015; Stott et al., <strong>2016</strong>; National Academies<br />

of Sciences, Eng<strong>in</strong>eer<strong>in</strong>g, <strong>and</strong> Medic<strong>in</strong>e, <strong>2016</strong>). The<br />

IPCC AR5 concluded that 'It is extremely likely that<br />

human <strong>in</strong>fluence has been the dom<strong>in</strong>ant cause of<br />

the observed warm<strong>in</strong>g s<strong>in</strong>ce the mid-20th century'<br />

(IPCC, 2013b). Furthermore, anthropogenic forc<strong>in</strong>gs<br />

are very likely to be the ma<strong>in</strong> cause of the decl<strong>in</strong>e <strong>in</strong><br />

Arctic sea ice, <strong>and</strong> likely to be the cause of decreases<br />

<strong>in</strong> the Greenl<strong>and</strong> ice sheet <strong>and</strong> glaciers worldwide<br />

<strong>in</strong> recent decades. Anthropogenic forc<strong>in</strong>gs have also<br />

<strong>in</strong>fluenced the global water cycle <strong>in</strong> different ways,<br />

<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>creases <strong>in</strong> record-break<strong>in</strong>g ra<strong>in</strong>fall events<br />

(Lehmann et al., 2015).<br />

3.1.4 Future climate <strong>change</strong><br />

Even if anthropogenic emissions of greenhouse<br />

gases were to fall to zero <strong>in</strong> the very near future, the<br />

dynamics of the climate system <strong>and</strong> the atmospheric<br />

residence time of greenhouse gases (typically decades<br />

to centuries) mean that past human activities will<br />

<strong>in</strong>fluence the climate for many decades to come. This<br />

will affect other components of the climate system,<br />

lead<strong>in</strong>g to hotter <strong>and</strong> more frequent heat extremes,<br />

the melt<strong>in</strong>g of snow <strong>and</strong> ice, <strong>in</strong>creas<strong>in</strong>g sea levels <strong>and</strong><br />

chang<strong>in</strong>g precipitation patterns, <strong>in</strong>clud<strong>in</strong>g precipitation<br />

extremes.<br />

Projections of precipitation <strong>and</strong> temperature from<br />

general circulation models (GCMs) are generally the<br />

basis for the assessment of climate <strong>change</strong>, but they<br />

do not provide detailed <strong>in</strong>formation on climate <strong>change</strong><br />

<strong>impacts</strong> at regional or local scales (see Box 3.1).<br />

Map 3.2 depicts the spatial patterns of <strong>change</strong>s <strong>in</strong><br />

near-surface temperature <strong>and</strong> precipitation us<strong>in</strong>g the<br />

multi-model mean of at least 30 GCMs for the period<br />

2081–2100 relative to 1986–2005 under the RCP2.6<br />

scenario (low emissions scenario) <strong>and</strong> RCP8.5 scenario<br />

(high emissions scenario) (see Section 1.2 for details).<br />

The two scenarios show warm<strong>in</strong>g <strong>and</strong> <strong>change</strong>s <strong>in</strong><br />

precipitation across the globe, both of which are much<br />

Map 3.1<br />

Location of stations with temperature <strong>and</strong> precipitation data<br />

Temperature data<br />

0° 10°<br />

70°<br />

Precipitation data<br />

60°<br />

70°<br />

40°<br />

Location of stations<br />

Downloadable data<br />

Non-downloadable data 0 500 1 000 1 500 km<br />

Note:<br />

This map shows stations available <strong>in</strong> the <strong>Europe</strong>an <strong>Climate</strong> Assessment & Dataset (ECA&D) (with different lengths of records) for<br />

daily mean temperature <strong>and</strong> daily precipitation amount. Green dots represent downloadable data <strong>and</strong> red dots represent additional<br />

non‐downloadable data that have been used for produc<strong>in</strong>g gridded datasets.<br />

Source: Adapted from van der Schrier et al., 2013.<br />

64 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report

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