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[EU SDG 06_60] Water exploitation index, plus (WEI+)

The WEI+ provides a measure of total water consumption as a percentage of the renewable freshwater resources available for a given territory and period. The WEI+ is an advanced geo-referenced version of the WEI. It quantifies how much water is abstracted monthly or seasonally and how much water is returned before or after use to the environment via river basins (e.g. leakages, discharges by economic sectors). The difference between water abstractions and water returns is regarded as ‘water consumption’.

Bathing Water Directive - Status of bathing water

The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September

Copernicus National Boundary Layer with 250 m buffer, version 3, Jan. 2019

For the provision of land monitoring services within COPERNICUS, a consistent, stable, sufficiently detailed boundary layer is required at EEA, which provides a “land mask” for the area that needs to be monitored. This metadata refers to the National Boundary layer both in vector formats (GDB, SHP) and in raster format (TIFF) at 10, 20 and 100m resolution, of each of the EEA member and cooperating countries as well as the United Kingdom (former EEA39). This is a product derived from the EEA 39 Border Expert product, generalised to a scale of about 1:1 000 000 by applying a buffer of 250m and selecting the outline. Each country boundary has been projected to its respective national system(s), which are specified together with the EEA. The Border Expert product is based on the EU-Hydro Coastline Version 3 from EEA, the EEA coastline for analysis Version 2, the EBM GISCO Hybrid Layer from EEA, the EuroGeographics EuroBoundary Map Version 12, the “Water and Wetness High Resolution Layer 2015” from EEA and the JRC-Global Surface Water Occurrence layer. The production of this Border Product was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

Climate related hazards

This series refers to datasets related to the potential occurrence of a climate-induced physical event or trend that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems and environmental resources. It includes datasets on flooding, drought, urban heat island and heatwaves, extreme temperatures and precipitations, fire danger as well as climate suitability for vectors of infectious diseases. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/

AG-InstitutionsNaturalResources - Institutionenökonomik natürlicher Ressourcen

Im Rahmen des Forschungsprojektes wird - teilweise interdisziplinär - theoretische und empirische Forschung betrieben, um das Handeln von Landwirten angesichts institutioneller Sachzwänge bei der landwirtschaftlichen Wasserbewirtschaftung und der Landnutzung besser zu verstehen. In etlichen Transformationsländern sind Eigentrumsrechte sowie Rechte auf Zugang und Nutzung von Wasser nur unzureichend definiert und es mangelt an Anreizen für gemeinsame Maßnahmen um Bewässerungsinfrastrukturen zu erhalten. In anderem Umfang, von Land zu Land verschieden, trifft dies auch auf die Land- und Waldnutzung zu. Die Wissenschaftlerinnen und Wissenschaftler nutzen hauptsächlich quantitative Methoden und arbeiten hier mit Primärdaten, die in einigen Transformationsländern erhoben wurden. Sie sind aber grundsätzlich für qualitative Methoden offen. Regionale Forschungsschwerpunkte sind Transformationsländer wie China und ausgewählte Länder Zentralasiens und Südosteuropas. Folgende Qualifikationsarbeiten sind Bestandteil des Projekts: - Tapping two sources: Farmers conjunctive use of groundwater and surface water in North West China (Bearbeitung: Eefje Aarnoudse) - The land and water nexus in a transition context: the case of Tajikistan (Bearbeitung: Frederike Gehrigk) - Too much but not enough: Issues of water management in Albania (Bearbeitung: Klodjan Rama).

Model Output Statistics for TIRANA (13615)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

EMEP grids reprojected by EEA

The original EMEP grids have been reprojected into the European standard projection in order to facilitate re-use of EMEP information on air emissions, deposition and critical loads in EEA map products. Organisations responsible for delivering national data to EMEP should always use the grid in polar stereographic projection as provided by EMEP (http://www.emep.int/grid/index.html). EEA has reprojected the grid used by EMEP for analyses on air emissions (150*150 km2 and 50*50 km2 grids covering Europe)

Climatic suitability index modelling for tiger mosquito (Aedes albopictus) 2008-2009, Jan. 2020

This raster dataset provides the modelling of the climate suitability index values (0-100%) for tiger mosquito (Aedes albopictus) for 100 European cities for the years 2008-2009, with a resolution of 100 m. Aedes Albopictus has become a common occurrence in Southern Europe and transmits diseases such as Zika, dengue and chikungunya. The climatic suitability for tiger mosquito depends on factors such as sufficient amounts of rainfall, high summer temperatures and mild winters. Climate change is anticipated to further facilitate the spread of tiger mosquitoes across Europe by changing temperature and precipitation patterns, thereby increasing the suitable habitat. In the framework of the Copernicus Climate Change Service (C3S) SIS European Health, VITO has provided to the Climate Data Store 100m resolution hourly temperature data for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). From this dataset, this climate suitability dataset has been generated based on annual precipitation and the average temperature in January and during the summer period (months June, July and August) for the years 2008-2009, following the methodology by European Centre for Disease Prevention and Control (ECDC, 2009). The 100 European cities for the urban simulations were selected based on user requirements within the health community.

Climatic suitability for non-cholera Vibrio outbreaks (2003-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the percentage of coastal area per European country that is suitable for infections from vibrio species between 2003 and 2021. Vibrio bacteria can lead to severe gastrointestinal infections, skin and ear infections, and more severe health outcomes, including necrotising fasciitis, amputation, sepsis, and death. In Europe, cases have steadily increased over the years in countries with national surveillance; however, vibriosis is not a notifiable disease in the EU. Increasing sea temperatures have led to higher percentages of coastal areas with brackish waters in Europe showing suitable conditions for the transmission for non-cholerae Vibrio bacteria.

Elevation map of Europe (1km hillshade)

The map is made using the global digital elevation model (DEM) derived from GTOPO30. Note that the values in the file are not the original elevation data. The data has been processed to create an image for presentation purposes streching a predefined colour template over the derived values.

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