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Climate change impacts and vulnerability in Europe 2016

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

Map 3.12 Observed annual median <strong>and</strong> trend of the mean PHI over the period 1951–2010<br />

-30°<br />

Median<br />

-20°<br />

-10°<br />

0°<br />

10°<br />

20°<br />

30°<br />

40°<br />

50°<br />

60°<br />

70°<br />

-30°<br />

Trend<br />

-20°<br />

-10°<br />

0°<br />

10°<br />

20°<br />

30°<br />

40°<br />

50°<br />

60°<br />

70°<br />

60°<br />

60°<br />

50°<br />

50°<br />

40°<br />

40°<br />

0°<br />

10°<br />

20°<br />

30°<br />

40°<br />

0°<br />

10°<br />

20°<br />

30°<br />

40°<br />

Observed annual median (left) <strong>and</strong> trend (right) of the mean Potential Hail Index (PHI) over the period 1951–2010<br />

PHI<br />

0 2.5 5 7.5 10 12.5 15 17.5 20 22.5 25<br />

Outside<br />

coverage<br />

PHI<br />

– 13 – 11 – 9 – 7 – 5 – 3 – 1 1 3 5 7<br />

25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 50<br />

Not statistically significant<br />

at the 5 % level<br />

0<br />

500 1 000 1 500km<br />

Note:<br />

Trends that are not significant at the 5 % level are cross-hatched. Significant trends are found only for values below a PHI of – 5 over the<br />

period.<br />

Source: Based on the logistic hail model (Mohr, Kunz, <strong>and</strong> Geyer, 2015) <strong>and</strong> reanalysis data from NCEP-NCAR (Kalnay et al., 1996).<br />

Different RCMs have been used for assess<strong>in</strong>g <strong>change</strong>s<br />

<strong>in</strong> hailstorms at the national <strong>and</strong> sub-national<br />

scales. A statistically significant downwards trend for<br />

hailstones with diameters between 21 <strong>and</strong> 50 mm was<br />

projected for the United K<strong>in</strong>gdom (S<strong>and</strong>erson et al.,<br />

2015). An <strong>in</strong>crease <strong>in</strong> hailstorm frequency between<br />

7 <strong>and</strong> 15 % for the period 2031–2045 compared with<br />

1971–2000 was projected for south-west Germany<br />

based on large-scale weather patterns (Kapsch et al.,<br />

2012). Us<strong>in</strong>g the PHI <strong>and</strong> an ensemble of seven RCMs,<br />

an <strong>in</strong>crease <strong>in</strong> hail probability over most areas of<br />

Germany was projected for the period 2021–2050<br />

compared with 1971–2000 (Mohr, Kunz, <strong>and</strong> Keuler,<br />

2015). The projected <strong>change</strong>s are largest <strong>in</strong> southern<br />

Germany (values of almost 7 PHI). However, the<br />

results are subject to large uncerta<strong>in</strong>ties, ma<strong>in</strong>ly<br />

ow<strong>in</strong>g to low spatial resolution <strong>and</strong> convective<br />

parametrisation schemes <strong>in</strong> regional climate models<br />

(Fischer et al., 2014). Improv<strong>in</strong>g the convective<br />

parametrisation schemes <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g the spatial<br />

resolution of models would improve the accuracy of<br />

future hail projections.<br />

<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<br />

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