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.
The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0731ebf-6bcc-4afe-bab0-39e7aa88eaba for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting.
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 ]
Terrestrial green algae and cyanobacteria are typical and abundant components of biological soil crusts in the Polar Regions. These communities form water-stable aggregates that have important ecological roles in primary production, nitrogen fixation, nutrient cycling, water retention and stabilization of soils. Although available data on green algae and cyanobacteria are generally very limited for the Arctic and Antarctica, their functional importance as ecosystem developers in nutrient poor environments is regarded as high. Therefore, the main goal of the interdisciplinary project is, for the first time, a precise evaluation of their 1.) Biodiversity as well as of 2.) The infra-specific genetic diversity, 3.) ecophysiological performance and 4.) transcriptomics of the most abundant taxa in biological soil crusts isolated from the Antarctic Peninsula and Arctic Svalbard. Biodiversity will be investigated using a classical culture approach in combination with molecular-taxonomical methods as well as with metagenomics. The infra-specific genetic diversity of the most abundant green algae and cyanobacteria will be studied using fingerprinting techniques, and a range of selected populations characterized in relation to their physiological plasticity. Temperature and water availability, two key environmental factors for terrestrial organisms, are currently changing in Polar Regions due to global warming, and hence their effect on growth and photosynthesis response patterns will be comparatively investigated. The data will indicate whether and how global change influence population structure and ecological performance of key organisms in polar soil crusts, and help to make predictions on the future significance of the ecological functions of these pioneer communities. Such a multiphasic approach has never been applied before to soil algae and cyanobacteria in both Polar Regions, and hence represents one of the key innovations of this proposal.
The service contains information about the ecological status or potential of European surface water bodies, delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The Quality Element status is the poorest of the known quality element status values per water body. For example, the nutrient conditions status (QE3-1-6) is based on the following two quality elements: Nitrogen conditions (QE3-1-6-1) and Phosphorus conditions (QE3-1-6-2). The ecological status or potential is presented for the following quality elements: QE1 - Biological quality elements; QE1-1 - Phytoplankton; QE1-2 - Other aquatic flora; QE1-2-1 - Macroalgae; QE1-2-2 - Angiosperms; QE1-2-3 - Macrophytes; QE1-2-4 - Phytobenthos; QE1-3 - Benthic invertebrates; QE1-4 - Fish; QE2 - Hydromorphological quality elements; QE2-1 - Hydrological or tidal regime; QE2-2 - River continuity conditions; QE2-3 - Morphological conditions; QE3 - Chemical and physico-chemical quality elements; QE3-1 - General parameters; QE3-1-1 - Transparency conditions; QE3-1-2 - Thermal conditions; QE3-1-3 - Oxygenation conditions; QE3-1-4 - Salinity conditions; QE3-1-5 - Acidification status; QE3-1-6 - Nutrient conditions; QE3-1-6-1 - Nitrogen conditions; QE3-1-6-2 - Phosphorus conditions; QE3-3 - River Basin Specific Pollutants. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters.
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 ]
The 'GISCO NUTS 2021' data set represents the NUTS 2021 regulation and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2021 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries, EU candidate countries and the UK. Following the departure of the UK from the European Union, the UK is no longer flagged as an EU Member State but retains its place in the NUTS and statistical regions data set. This dataset (NUTS_2021) is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). The list of NUTS2021 codes including changes with respect to NUTS2016 is available on https://ec.europa.eu/eurostat/documents/345175/629341/NUTS2021.xlsx. The public metadata for NUTS 2021 released by Eurostat is available here: https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-metadata.xml. This revision (May 2021) includes minor changes in the dataset such as (see https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-release-notes.txt): * 2020-10-05 Point snapping is disabled in all datasets, number of decimals increased for 01M datasets. * 2020-11-18 Inclusion of Jan Mayen and Svalbard in to Norways Statistical Regions. Amendment to Serbia NUTS BN line status. * 2020-12-05 Fixed broken utf-8 encoding. * 2021-03-15 Added LAU 2011,2012,2013,2014,2015,2020 * 2021-04-26 Fixed country labels 2001, 2006 (incorrect Kosovo coordinates) IMPORTANT NOTE: Additional information, including the conditions of use and acknowledgement notice is included in the document provided with the dataset "GISCO NUTS 2021 Additional Information.pdf". Public access to this data set is restricted due to intellectual property rights. It shall only be used internally by the EEA, its ETCs and subcontractors working on behalf of the EEA. This metadata has been slightly adapted from the original metadata information provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview.
Das Forschungsprojekt verfolgt das Ziel, beobachtbare Änderungen in der Geomorphodynamik und im Landschaftshaushalt nordpolarer Räume systematisch zu erfassen und deren Verursachung zu ergründen. Als Arbeitshypothese dient die Diskussion und Szenarienentwicklung des globalen Klimawandels ('Global Warming'), wobei von einer natürlichen Erwärmung seit der Mitte des 19. Jahrhunderts und einer potentiellen, progressiven und anthropogenen Klimabeeinflussung ('Treibhauseffekt') der letzten 60 Jahre ausgegangen wird. Als Modellregion wurde dafür das Adventtal und Umgebung in West-Spitzbergen ausgewählt. Kriterien waren dabei ein weit ausgedehntes, facettenreiches Periglazialrelief, gute Erreichbarkeit und Zugänglichkeit, die Verfügbarkeit von Karten- und Luftbildmaterial sowie die Zugriffsmöglichkeiten auf meteorologische Daten. Mit Hilfe einer detaillierten Kartierung und Dokumentation sollen subrezente, rezente und aktuell sich verändernde geomorphodynamische Prozesse als Indikatoren für Klimaänderungen (insbesondere Erwärmung) systematisch getestet, klassifiziert und bewertet werden. Weiterhin wird versucht, mögliche Auswirkungen einer Klimaveränderung im Landschaftshaushalt polarer Regionen als Szenario zu ermitteln.
Dieses Teilprojekt schlägt neuartige Beobachtungsstrategien für arktische Wolken vor durch Kombination von flugzeuggetragenen Fernerkundungsmethoden mit in-situ mikrophysikalischen Messungen von Wolken- und Aerosoleigenschaften. Unter der Verwendung von zwei nebeneinanderfliegenden Flugzeugen (Polar 5 & 6) wird es möglich sein die mikrophysikalischen Partikeleigenschaften innerhalb von Wolken gleichzeitig durch in-situ Sensoren zu messen. Ebenfalls wird die vertikale Säule und deren Strahlungseinfluss mittels Fernerkundungsmessungen oberhalb von Wolken gemessen. Beide Kampagnen werden im Sommer 2017 (ACLOUD, Svalbard) und Frühling 2019 (AFLUX, Svalbard und Grönland) durchgeführt um typische arktische Grenzschichtwolken als Teil der hauptsächlichen experimentellen Aktivitäten innerhalb des TR 172 zu untersuchen.
Das COSC-Bohrprojekt ('Collisional Orogeny in the Scandinavian Caledonides') ist fester Bestandteil des 'International Scientific Drilling Program' (ICDP) und des 'Swedish Scientific Drilling Program' (SSDP). COSC untersucht die altpaläozoische Schließung des Iapetus-Ozeans und die Kontinent-Kontinent-Kollision zwischen Baltica and Laurentia, die im mittleren Silur zu einer Teilsubduktion des baltischen Kontinentalrandes unter Laurentia und der Bildung eines Orogens vom Himalaya-Typus führte. Während die Platznahme des hochgradig metamorphen Allochthons im Rahmen von COSC-1 im Åre-Gebiet studiert wurde (Durchteufung der subduktionsbezogenen, untere Seve-Decke und der niedrig-gradig metamorphen Särv-Decke in 2014), wird COSC-2 die mächtige paläozoische Sedimentabfolge des Unteren Allochthon und Autochthon, den kaledonischen Hauptabscherhorizont und das präkambrische Grundgebirge des Fennoscandischen Schildes am Liten-See südöstlich Järpen untersuchen. Das beantragte DFG-Projekt konzentriert sich auf die Sedimentabfolge des Kambriums bis Silur in den höheren größer als 1200 m der Bohrung, die in verschiedenen Faziesräumen auf dem Außenschelf und im Vorlandbecken ablagert wurden. Die Schließung des Iapetus-Ozeans, die Kollission zwischen Baltica und Laurentia, die Deckenstapelung entlang der norwegisch-swedischen Deformationsfront und die durch Auflast gesteuerte flexurhafte Deformation am Kontinentalrand veränderte die Konfiguration des baltoskandischen Beckens und formte unterschiedliche Ablagerungsräume in dem zum Orogen parallel verlaufenden Vorlandbecken vom Mittelordoviz bis Silur. Die Sedimentabfolge im Untersuchungsgebiet wird detailliert im Hinblick auf Fazieswechsel und Meeresspiegelschwankungen untersucht werden. Stratigraphische Lücken im Oberordoviz und mögliche Karstbildung in den Kalken des Llandovery könnten Vereisungen und extreme Klimaschankungen wiederspiegeln während der Eiszeit-Periode vom höheren Mittelordoviz bis in das Obersilur. Die Untersuchung von oberordovizischen Sedimenten, die in tieferem Wasser abgelagert wurden, schliesst die Suche nach Spuren des intensive Vulkanismus (K-Bentonite) in dem sich schliessenden Areal des Iapetus-Oceans ein und nach Relikten von nahen Meteoriteneinschlägen in der kaledonischen Vortiefe. Die enge Kooperation mit PIs anderer Disziplinen wie Geothermie und Geophysik stehen im Hauptfokus dieses Projekts. Detaillierte lithologische Studien sind die Basis einer Beprobungsstrategie für ein geothermisches Modell. Die Kalibriering geophysikalischer Bohrlochmessungen mit den Sedimentdaten erlaubt es die Interpretation früherer reflexions-seismischer Untersuchungen zu überprüfen und die darauf basiernden Modelle des geologischen Untergrunds. Die Sedimentabfolge in der COSC 2-Bohrung wird ein Schlüssel zum Verständnis der seismischen Daten im Untersuchungsgebiet sein.
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