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Areas burnt by wildfires (2000-2017), Jan. 2020 This vector dataset presents the extent of areas in European countries directly affected by wildfires (period 2000-2017). This dataset can be used as one of the indications where the danger of wildfires may persist or increase in the future under the changing climate.
Aggregated data on 'Consumption of ozone-depleting substances (ODS)'. Data reported by companies to the European Environment Agency (EEA) under Article 27 of Regulation (EC) No 1005/2009 (EU Ozone Regulation). Data reported by companies on the production, import, export, destruction, and use of ozone-depleting substances in the EU-27 plus United Kingdom, 2006-2020.
Projected change in the percentage of summer days classified as heatwave days between 1951-2000 and 2051-2100
Data 27 Jul 2021This dataset presents the projected changes in the percentage of summer days (May-September) classified as heatwaves days between the historical period (1951–2000) and the future period (2051–2100) in 571 European cities therefore indicating the projected future risks to human health.
Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019
Data 22 Dec 2020The dataset consists of a collection of annual soil moisture (SM) anomalies during the vegetation growing season (GS) for the years 2000-2019 across EEA 38 area and the United Kingdom. The vegetation growing season is defined by EEA´s phenology data series "Vegetation growing season length 2000-2016" [https://www.eea.europa.eu/data-and-maps/data/annual-above-ground-vegetation-season]. The anomalies are calculated based on the European Commission's Joint Research Centre European Drought Observatory (EDO) Soil Moisture Index (SMI) with respect to the 1995–2019 base period. The yearly start and end of GS periods are dynamic and calculated according to the EEA Phenology Indicators. A positive anomaly indicates that the observed SM was wetter than the long-term SM average for the base period, while a negative anomaly indicates that the observed SM was drier than the reference value. Because SM anomalies are measured in units of standard deviation from the long-term SMI average, they can be used to compare annual deficits/surplus of SM between geographic regions. EDO is one of the early warning and monitoring systems of the Copernicus Emergency Management Service. As the dataset builds on EDO's SMI, it therefore contains modified Copernicus Emergency Management Service information (2019).
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Ocean surface pH declined from 8.2 to below 8.1 over the industrial era as a result of an increase in atmospheric CO 2 concentrations. This decline corresponds to an increase in oceanic acidity of ...
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For references, please go to https://www.eea.europa.eu/themes/climate-change-adaptation/dc or scan the QR code.
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