Projected changes in extreme wind speed based on GCM and RCM ensembles

Figure Created 17 Oct 2012 Published 19 Nov 2012 Last modified 06 Jan 2017
Ensemble mean of changes in extreme wind speed (defined as the 98th percentile of daily maximum wind speed) for A1B (2071–2100) relative to 1961–2000. Left: based on 9 GCMs. Right: based on 11 RCMs. Coloured areas indicate the magnitude of change (unit: m/s), statistical significance above 0.95 is shown by black dots.

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17 Oct 2012
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EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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European Environment Agency (EEA)
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Climate Change Research Centre
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Map

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Climate change, impacts and vulnerability in Europe 2016 Climate change, impacts and vulnerability in Europe 2016 This report is an indicator-based assessment of past and projected climate change and its impacts on ecosystems and society. It also looks at society’s vulnerability to these impacts and at the development of adaptation policies and the underlying knowledge base. This is the fourth ‘Climate change, impacts and vulnerability in Europe’ report, which is published every four years. This edition aims to support the implementation and review process of the 2013 EU Adaptation Strategy, which is foreseen for 2018, and the development of national and transnational adaptation strategies and plans.
Climate change, impacts and vulnerability in Europe 2012 Climate change, impacts and vulnerability in Europe 2012 This European Environment Agency (EEA) report presents information on past and projected climate change and related impacts in Europe, based on a range of indicators. The report also assesses the vulnerability of society, human health and ecosystems in Europe and identifies those regions in Europe most at risk from climate change. Furthermore, the report discusses the principle sources of uncertainty for the indicators and notes how monitoring and scenario development can improve our understanding of climate change, its impacts and related vulnerabilities.

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