Data services overview

A decline in pH corresponds to an increase in the acidity of ocean water. o Green line: data based on in situ measurements at Aloha station. o Blue line: pH calculated at Aloha station from dissolved inorganic carbon concentrations and total alkalinity, at in situ temperature. o Red line: global yearly mean surface seawater pH, calculated by Copernicus Marine Environment Monitoring Service.

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The table shows the countries' reporting performance on the basis of Eionet Core Data Flows since 2005

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All European seas have warmed considerably since 1870, particularly since the late 1970s. During the period for which comprehensive data are available (1981-2018), sea surface temperature increased by between 0.2 °C, in the North Atlantic, and 0.5 °C, in the Black Sea, per decade. This increase is projected to continue, although more slowly than that of air temperature over land. The frequency and magnitude of marine heatwaves has also increased significantly globally and in European seas and is projected to continue, with increasing impacts on ecosystems and climate expected.

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Climate change has increased forest fire risk across Europe. Even so, the burnt area of the Mediterranean region has decreased slightly since 1980, indicating that fire control efforts have been effective. However, in recent years, forest fires have affected regions in central and northern Europe not typically prone to fires, and, in 2018, more countries suffered large fires than ever before, coinciding with record droughts and heatwaves. An expansion of fire-prone areas and longer fire seasons are projected in most European regions, so additional adaptation measures are needed.

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These maps show the relative change in 10-year river water deficit under the 95th percentile for two greenhouse gas emissions scenarios (RCP4.5 and RCP8.5)

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The map provides an overview of the extent of urban areas at higher risk of being directly affected by forest fires (burning down) under current conditions.

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The 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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New technology and tools are opening up new possibilities for environmental monitoring and analysis. For example, citizen science, satellite observations, big data and artificial intelligence present opportunities for improving the timeliness, comparability, granularity and integration of data.

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These maps present a story about how Europe might be affected by key climate hazards such as droughts, floods, forest fires and sea level rise during the 21st century and beyond. These maps are based on different greenhouse gas emissions scenarios and climate models and have been published already in various EEA reports and indicators.

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This layer provides information at 237 locations along the European coastline

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New technology and tools are opening up new possibilities for environmental monitoring and analysis. For example, citizen science, satellite observations, big data and artificial intelligence present opportunities for improving the timeliness, comparability, granularity and integration of data.

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All European seas have warmed considerably since 1870, particularly since the late 1970s. During the period for which comprehensive data are available (1981-2018), sea surface temperature increased by between 0.2 °C, in the North Atlantic, and 0.5 °C, in the Black Sea, per decade. This increase is projected to continue, although more slowly than that of air temperature over land. The frequency and magnitude of marine heatwaves has also increased significantly globally and in European seas and is projected to continue, with increasing impacts on ecosystems and climate expected.

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Climate change has increased forest fire risk across Europe. Even so, the burnt area of the Mediterranean region has decreased slightly since 1980, indicating that fire control efforts have been effective. However, in recent years, forest fires have affected regions in central and northern Europe not typically prone to fires, and, in 2018, more countries suffered large fires than ever before, coinciding with record droughts and heatwaves. An expansion of fire-prone areas and longer fire seasons are projected in most European regions, so additional adaptation measures are needed.

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Monitoring the pressure from soil moisture deficits can warn of potential impacts on plant development and soil health, supporting the assessment of drought-tolerant, resilient and vulnerable ecosystems. In 2000-2019, soil moisture in the growing season was several times below the long-term average in the EEA member countries plus the United Kingdom. The largest soil moisture deficits occurred in 2003, 2017 and 2019, affecting over 1.45 million km 2 in 2019. Soil moisture content was also low in 2012, 2015 and 2018, contributing to increasingly frequent and intense drought pressure.

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These maps present a story about how Europe might be affected by key climate hazards such as droughts, floods, forest fires and sea level rise during the 21st century and beyond. These maps are based on different greenhouse gas emissions scenarios and climate models and have been published already in various EEA reports and indicators.

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These maps show the relative change in 10-year river water deficit under the 95th percentile for two greenhouse gas emissions scenarios (RCP4.5 and RCP8.5)

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The map provides an overview of the extent of urban areas at higher risk of being directly affected by forest fires (burning down) under current conditions.

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The maps show the long-term average soil moisture contents (left) and the trends in soil moisture values (right), aggregated by NUTS3 regions. Soil moisture is equal to 0 when the soil is severely dry (wilting point) and equal to 1 when the soil moisture is above the field capacity. Low long-term average soil moisture values indicate areas where during the 2000-2019 period the soil moisture deficit was the biggest problem. Trends are expressed in standard deviation from the long term average. Negative trends indicate that soil moisture values show a decreasing tendency during the 2000-2019 period. Areas with lower soil moisture content together with decreasing tendency in the soil moisture are in risk of loosing their land functions of supplying ecosystem services. See also: https://www.eea.europa.eu/data-and-maps/data/data-viewers/soil-moisture and Original dataset: https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_soilmoisture.pdf

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A decline in pH corresponds to an increase in the acidity of ocean water. o Green line: data based on in situ measurements at Aloha station. o Blue line: pH calculated at Aloha station from dissolved inorganic carbon concentrations and total alkalinity, at in situ temperature. o Red line: global yearly mean surface seawater pH, calculated by Copernicus Marine Environment Monitoring Service.

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The table shows the countries' reporting performance on the basis of Eionet Core Data Flows since 2005

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The chart shows the scoring of countries’ reporting performance on the basis of Eionet Core Data Flows.

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