The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).
The Urban Waste Water Treatment Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. The objective of the Directive is to protect the environment from the adverse effects of the above mentioned waste water discharges. This series contains time series of spatial and tabular data covering Agglomerations, Discharge Points, and Treatment Plants.
This metadata overs the dataset containing information on how EU Member States spend the revenues from auctioning EU ETS emission allowances in one calendar year. More information on the EU Emissions Trading System (EU ETS) can be found here. The revenues from the auctioning of these allowances represent an increasing income source for Member States. This data is being collected under Article 19 of the Governance Regulation. The Regulation’s aim is to help the EU reach its 2030 climate and energy targets by setting common rules for planning, reporting and monitoring. The Regulation also ensures that EU planning and reporting are synchronised with the ambition cycles under the Paris Agreement. Reporting is mandatory for EU Member States. Some information is only mandatory to report if the data is available.
Problemstellung: Fuer den westlichen Teil des hellenischen Bogens ist von amerikanischen Seismologen der University of Colorado, Boulder, ein starkes Beben der Magnitude 7,5 fuer die Dekade 1980-1990 vorausgesagt. Es wird erwartet, dass sich das Ereignis durch Vorlaeufer etwa der Magnitude 4 kurzfristig ankuendigt. Im Gegensatz zum griechischen Seismometernetz koennen mit dem Graefenberg-Array seismische Ereignisse oberhalb der Detektionsschwelle in Real Time erkannt werden. Ziel: Kontinuierliche Ueberwachung eines als potentiell stark erdbebengefaehrdet eingestuften Gebietes zum Zwecke der deterministischen Erdbebenvorhersage. Das Projekt hat Forschungscharakter. Innerhalb des Projektes soll untersucht werden, inwieweit die Seismizitaet Griechenlands mit dem Graefenberg-Array ueberwacht werden kann, insbesondere ob die zu erwartenden Vorlaeufer von Graefenberg aus zu erkennen sind. Arbeitsprogramm: Aufbau und Austesten eines On-line Ereignisdetektors am Graefenberg-Array, Erarbeiten von Alarmkriterien auf der Basis von Seismizitaetsaenderungen, laufende Ueberwachung der Seismizitaet ueber mehrere Jahre.
This metadata refers to the whole content of GISCO reference database, which contains both public datasets (also available for the general public through http://ec.europa.eu/eurostat/web/gisco/geodata) and datasets to be used only internally by the EEA (typically, but not only, GISCO datasets at 1:100k).
Greece is Europe’s most seismically active nation, as it is being deformed by an active subduction system and one of the world’s fastest-spreading rifts. Onshore active faults pose seismic hazard that cannot be reliably assessed in the absence of a comprehensive map of potential earthquake sources. Here, we use high-resolution Digital Elevation Models (DEMs), in conjunction with hillshades and slope models, to map and characterise faults in Greece at a scale of 1:25000. The Active Faults Greece (AFG) database records a total of 3815 fault-traces assigned to 892 interpreted faults. Of the AFG traces, 53% were mapped here for the first time, with their geometries and slip-sense constrained by displacement of landscape features. AFG includes >2000 active and 1632 probably active fault-traces, while 30 traces result from historic surface-rupturing earthquakes since 464 BC. About 57% of faults exhibit strong depositional control (DC) on sedimentation patterns, with active faults being characterised by approximately equal numbers of sharp (32%), moderate (29%) and rounded (29%) scarps. AFG is the first fault database in Greece generated using nationwide interpretation of geomorphology and has applications in paleoseismology, seismic-hazard assessment, mineral-resources exploration, and resilience planning. Data Access: - Download archive version via GFZ Data Services (upper left) - Web-Map Server: https://experience.arcgis.com/experience/a6c85b1edf9d4d17a3f01a70cef6d2b2 - GIS Users: https://services2.arcgis.com/T7iULq65Kp9Elquk/arcgis/rest/services/Active_Faults_Greece/FeatureServer - Layerfiles for use in ArcGIS Pro and QGIS: https://noaig.maps.arcgis.com/sharing/rest/content/items/4b93c25b931744dabc4851abf9c8ae38/data
This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.
UV -Index weltweit Die typischen UV-Index -Werte verschiedener Städte für den 21. des jeweiligen Monats wurden durch Modellrechnung mit einem Strahlungstransferprogramm (STAR) ermittelt. Die angegebenen UV-Index -Werte stellen somit Orientierungswerte für die jeweils typischen atmosphärischen Bedingungen dar. Da die wesentlichen Einflussparameter nicht vorhersehbaren Schwankungen (zum Beispiel lokale temporäre Schwankungen der Ozonschicht) unterliegen können, können an den entsprechenden Orten unter Umständen auch höhere Werte auftreten. Typische UV-Index -Werte verschiedener Städte weltweit für den 21. des jeweiligen Monats Nordhalbkugel - Stadt Lat . Jan Feb Mär Apr Mai Jun Jul Aug Sep Okt Nov Dez St. Petersburg Russland 60°N 0 0 1 3 4 5 5 4 2 1 0 0 Berlin Deutschland 52°N 1 1 2 4 5 7 7 5 3 1 1 0 Vancouver Kanada 49°N 1 1 3 4 6 7 7 6 4 2 1 1 Paris Frankreich 49°N 1 1 3 4 6 7 7 6 4 2 1 0 Ulan Bator Mongolei 48°N 1 2 3 5 6 7 8 6 4 2 1 1 New York USA 41°N 2 3 4 6 7 8 9 8 6 3 2 1 Palma de Mallorca Spanien 39°N 2 3 4 6 8 9 9 8 6 4 2 1 Tokio Japan 36°N 2 4 5 8 9 9 10 9 7 4 2 2 Iraklion Griechenland 35°N 3 4 5 8 9 9 10 9 7 4 3 2 Los Angeles USA 34°N 3 4 6 8 9 10 10 9 7 5 3 2 Äquatorgebiet - Stadt Lat . Jan Feb Mär Apr Mai Jun Jul Aug Sep Okt Nov Dez Havanna Cuba 23°N 6 8 9 10 10 11 12 11 10 8 6 5 Hanoi Vietnam 21°N 6 8 10 11 11 11 12 12 10 8 6 6 Bangkok Thailand 14°N 8 10 12 12 11 12 12 12 11 10 8 8 Panama Panama 9°N 9 11 12 12 11 11 12 12 12 11 9 9 Colombo Sri Lanka 6°N 8 10 12 12 11 11 12 12 12 10 8 8 Singapore Malaysia 1°N 11 12 13 13 11 11 11 11 12 12 11 10 Nairobi Kenia 1°S 12 13 13 12 11 10 11 11 12 12 12 11 Darwin Australien 13°S 12 13 12 10 8 8 8 10 11 13 12 12 Tananarive Madagaskar 19°S 12 12 11 9 7 6 6 8 11 11 12 12 Rio de Janeiro Brasilien 23°S 12 11 9 7 5 5 5 7 9 10 12 12 Maputo Mozambique 26°S 11 11 9 7 5 4 4 6 8 10 11 11 Südhalbkugel - Stadt Lat . Jan Feb Mär Apr Mai Jun Jul Aug Sep Okt Nov Dez Sydney Australien 34°S 9 9 7 5 3 2 3 4 6 7 9 10 Kapstadt Südafrika 34°S 9 9 7 5 3 2 3 4 6 7 9 10 Buenos Aires Argentinien 35°S 9 9 7 4 3 2 2 4 5 7 9 10 Melbourne Australien 37°S 8 8 6 4 2 2 2 3 5 6 8 9 Wellington Neuseeland 42°S 7 7 5 3 1 1 1 2 4 6 7 8 Port Stanley Falkland-Inseln 58°S 5 4 2 1 0 0 0 1 2 3 5 5 Eine auf Satellitendaten basierende 3-Tages-Vorhersage der weltweit zu erwartenden UV-Index-Tagesspitzenwerte wird vom Deutschen Wetterdienst bereitgestellt. Stand: 01.12.2025
Progress to targets for greenhouse gas (GHG) emissions and removals is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's GHG and removals targets and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from GHG inventories and projections (also collected by the EEA), as well as Annual Emission Allocations (AEAs). This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex I).
Additional reporting in the area of renewable energy is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member States functioning system for guarantees of origin (GO), renewable energy surplus/deficits, biomass use and impacts, and renewable energy usage in buildings. The EEA collects and quality checks this data. The dataset links to data from Eurostat. This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex XVI).
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