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Indices of extreme temperature indicators (ECA&D)

External Data Spec Published 16 Nov 2018

1 min read

Topics: Climate change adaptation , Environment and health ,

Provider:: European Climate Assessment & Dataset
Dataset URL:: https://www.ecad.eu/download/ensembles/download.php
Other comments:: Dataset rights: https://www.emdat.be/frequently-asked-questions

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Produced figures

Annual average cooling degree days, 1990-2016, mapped against long-term unemployment (left) and proportion of people >= 75 years old (right), 2013-2014 The left map uses a colour gradient to show the long-term unemployment rate per NUTS2 region, classified in quantiles, against the highest number of cooling degree days as hatched areas (only the top 20 % of regions with the highest number of CDDS are shown). The right map uses a colour gradient to show the percentage of the elderly per NUTS2 region, classified in quantiles, against the highest number of cooling degree days represented as hatched areas (only the top 20 % of CDDs are shown).

Spatial distribution of extreme temperature indicators across Europe The maps use a colour gradient to show the number of hot summer days (Tmax > 35 °C) per year (1987-2016 average, top left), the number of combined summer days (Tmax > 30 °C) and tropical nights (Tmax > 20 °C) per year (1987-2016 average, top right), the cooling degree days per year (1990-2015 average, bottom left) and the heating degree days per year (1990-2015 average, bottom right).

Number of days with maximum temperature above 35 °C per year mapped against proportion of people with higher education, 2013-2014 The map uses a colour gradient to show the percentage of working age population with higher education per NUTS2 region, classified in quantiles, against the highest exposure to high temperatures (top 20 % of number of days with maximum temperature exceeding 35 °C) represented as hatched areas.

Annual number of cooling degree days (CDDs; 1990-2016 average) mapped against long-term unemployment (left) and proportion of people 75 years old or older (right), 2013-2014 The left map uses a colour gradient to show the long-term unemployment rate per NUTS2 region, classified in quantiles, against the highest number of cooling degree days as hatched areas (only the top 20 % of regions with the highest number of CDDS are shown). The right map uses a colour gradient to show the percentage of the elderly per NUTS2 region, classified in quantiles, against the highest number of cooling degree days represented as hatched areas (only the top 20 % of CDDs are shown).

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/indices-of-extremes-temperature-indicators or scan the QR code.

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