Climate change impacts and vulnerability in Europe 2016
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<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> on society<br />
5.1.2 Number of climate-related extremes with recorded <strong>impacts</strong><br />
Key messages<br />
• The number of reported climate extremes with relatively small damages has <strong>in</strong>creased <strong>in</strong> recent decades, but this<br />
<strong>in</strong>crease seems to be driven primarily by better report<strong>in</strong>g <strong>and</strong> by socio-economic factors.<br />
• The number of extreme events for which economic <strong>impacts</strong> have been reported has <strong>in</strong>creased over the period 1980–2013.<br />
This <strong>in</strong>crease is driven by events with recorded losses of up to EUR 0.5 million, presumably as a result of better report<strong>in</strong>g.<br />
• There is no apparent <strong>change</strong> <strong>in</strong> the number of extreme events <strong>in</strong> the analysed disaster database for events with recorded<br />
losses of above EUR 0.5 million.<br />
The number of climate extremes that have<br />
demonstrably caused economic losses is sensitive to<br />
climatic <strong>change</strong>s but also to a number of confound<strong>in</strong>g<br />
factors such as report<strong>in</strong>g bias, improvements <strong>in</strong><br />
disaster risk management, wealth <strong>and</strong> population<br />
<strong>in</strong>crease <strong>in</strong> hazard-prone areas. The potential for a<br />
hazard to cause a disaster ma<strong>in</strong>ly depends on how<br />
vulnerable an exposed community is to such hazards.<br />
Well-designed disaster risk management <strong>and</strong> proactive<br />
climate adaptation can reduce the <strong>impacts</strong> of climate<br />
extremes <strong>and</strong> prevent them turn<strong>in</strong>g <strong>in</strong>to disasters.<br />
In recent years, policies for disaster risk reduction<br />
<strong>and</strong> management have shifted to a comprehensive<br />
multi-hazard approach that embraces prevention,<br />
protection, preparedness, response <strong>and</strong> recovery<br />
(EEA, 2011). Adaptation to climate <strong>change</strong> <strong>and</strong> disaster<br />
risk management provide a range of complementary<br />
approaches for manag<strong>in</strong>g the risks of climate extremes<br />
(IPCC, 2012). The greater uptake of disaster <strong>in</strong>surance<br />
has arguably improved the damage report<strong>in</strong>g for<br />
extensive hazards (i.e. relatively frequent events with<br />
limited damage).<br />
The NatCatSERVICE database ( 75 ) comprises<br />
4 443 records for climate-related disasters <strong>in</strong> <strong>Europe</strong><br />
(<strong>in</strong> the period 1980–2013), each with a unique<br />
disaster event identification number, divided <strong>in</strong>to<br />
three categories (meteorological, hydrological <strong>and</strong><br />
climatological), with several sub-types with<strong>in</strong> each<br />
category. A further 442 events have been classified<br />
as geophysical hazards, which are shown here for<br />
comparison. The most commonly observed category<br />
of disasters is meteorological (41 %), followed<br />
by hydrological (33 %), climatological (15 %) <strong>and</strong><br />
geophysical (9 %) (see Figure 5.1, left). The difference<br />
between the NatCatSERVICE database <strong>and</strong> the EM‐DAT<br />
database ( 76 ) (see Figure 5.1, right) <strong>in</strong> the total number<br />
of reported events <strong>and</strong> <strong>in</strong> their distribution over the<br />
years is caused by the different data sources <strong>and</strong><br />
<strong>in</strong>clusion criteria used <strong>in</strong> the databases. The EM-DAT<br />
database applies much more str<strong>in</strong>gent <strong>in</strong>clusion<br />
criteria.<br />
The number of climate extremes on record <strong>in</strong> the<br />
NatCatSERVICE database <strong>in</strong>creased between 1980<br />
<strong>and</strong> 2013, from around 80 per year <strong>in</strong> the 1980s to<br />
120 <strong>in</strong> the 1990s <strong>and</strong> almost 140 <strong>in</strong> the 2000s. The<br />
contrast between the <strong>in</strong>creas<strong>in</strong>g <strong>in</strong>cidence of climate<br />
extremes <strong>and</strong> the apparently constant number of<br />
reported geophysical events has been previously used<br />
to dismiss the possibility of report<strong>in</strong>g bias. However,<br />
the <strong>in</strong>crease is driven by events with recorded losses of<br />
up to EUR 0.5 million. In contrast, the number of events<br />
with losses above this threshold, which are responsible<br />
for most of the overall losses, appears <strong>in</strong>variable s<strong>in</strong>ce<br />
1990 (see Figure 5.2).<br />
Changes <strong>in</strong> recorded natural disasters need to be<br />
<strong>in</strong>terpreted with caution. Disaster occurrence <strong>and</strong><br />
disaster burden, <strong>in</strong> terms of people affected <strong>and</strong><br />
economic losses, are results of several <strong>in</strong>terl<strong>in</strong>ked<br />
factors such as <strong>change</strong>s <strong>in</strong> wealth, <strong>change</strong>s <strong>in</strong><br />
( 75 ) NatCatSERVICE (http://www.munichre.com/natcatservice) is one of the most comprehensive natural catastrophe loss databases, managed<br />
by Munich Re<strong>in</strong>surance Company (Munich RE), based <strong>in</strong> Munich, Germany. As a proprietary database, it is not publicly accessible. The entire<br />
Munich RE dataset, which covers the period 1980–2013, was provided to the EEA under <strong>in</strong>stitutional agreement (June 2014).<br />
( 76 ) EM-DAT (http://www.emdat.be/database) is a natural catastrophe loss database, managed by CRED (School of Public Health, Université<br />
Catholique de Louva<strong>in</strong>), based <strong>in</strong> Brussels, Belgium. Most data are available via the <strong>in</strong>ternet. Based on a letter of underst<strong>and</strong><strong>in</strong>g (June 2014), the<br />
EEA received the database cover<strong>in</strong>g the period 1980–2013.<br />
192 <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