Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).
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 WISE Water Framework Directive database contains data from the River Basin Management Plans reported by EU Members States, Iceland, Norway and the United Kingdom according to article 13 of the Water Framework Directive (WFD). The database includes information about surface water bodies (number and size, water body category, ecological status or potential, chemical status, significant pressures and impacts, and exemptions) and about groundwater bodies (number and size, quantitative status, chemical status, significant pressures and impacts, and exemptions). The information is presented by country, river basin district (RBD) and river basin district sub-unit (where applicable).
This metadata refers to the geospatial dataset representing the status of the EEA Industrial Reporting database as of 10 March 2025 (version 14). The release and emissions data cover the period 2007-2023 as result of the data reported under the E-PRTR facilities, 2017-2023 for IED installations and WI/co-WIs, and 2016-2023 for LCPs. These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.
The PRNG92 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PR): Relative humidity A1 (N): Northern hemisphere A2 (G): 36 hours forecast T1ii (P92): 925 hPa (Remarks from Volume-C: FORECAST WIND, WIND SEA AND SWELL)
The SXEN40 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SX): Miscellaneous A1A2 (EN): Northern Europe (Remarks from Volume-C: NAVTEX SYNOPTIC REPORT FOR THE NORTH- AND BALTIC SEA (IN GERMAN))
The HVXW92 TTAAii Data Designators decode as: T1 (H): Grid point information (GRIB) T1T2 (HV): Northward wind component A1 (X): Global Area (area not definable) A2 (W): Not assigned T1ii (H92): 925 hPa (Remarks from Volume-C: H+ 54 (GLOBAL MODEL) WIND COMPONENT 925 HPA)
The ISND09 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 0100, 0200, 0400, 0500, ... UTC) A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10756;Feuchtwangen-Heilbronn;10761;Weißenburg;10765;Roth;10771;Kümmersbruck;10777;Gelbelsee;10782;Waldmünchen;10796;Zwiesel;10803;Freiburg;10818;Klippeneck;10827;Meßstetten;10837;Laupheim;10840;Ulm-Mähringen;10850;Harburg;10853;Neuburg/Donau (Flugplatz);10856;Lechfeld;10857;Landsberg (Flugplatz);10860;Ingolstadt (Flugplatz);10863;Weihenstephan-Dürnast;10865;München-Stadt;10872;Gottfrieding;10875;Mühldorf;10945;Leutkirch-Herlazhofen;10954;Altenstadt;10963;Garmisch-Partenkirchen;10970;Bichl;10982;Chieming;) (Remarks from Volume-C: SYNOP)
The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational ozone total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The new improved DOAS-style (Differential Optical Absorption Spectroscopy) algorithm called GDOAS, was selected as the basis for GDP version 4.0 in the framework of an ESA ITT. GDP 4.x performs a DOAS fit for ozone slant column and effective temperature followed by an iterative AMF / VCD computation using a single wavelength. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/
Multi-level monitoring of destabilized Sahelian regions connects field work in situ with detailed to semi-detailed analysis of vegetation structure (aerial photography), vegetation functional types and units of rational landcover (satellite images). Human impact on Sahelian vegetation in its regional variations is a main reason for continous destruction of former grazing lands. Regional dynamics of impact patterns are analysed by means of multi-stage remote sensing techniques and multi-spectral image classification. Integration of remotely sensed as well as of socio-economic data with geo-information systems is an important tool for modelling regional dynamics of degradation and desertification due to multi-thematic and multi-temporal input parameters. Intersection of geo-informations creates change detection databasas of Sahelian regions. Planning sustainable development will urgently need the appropriate use of the presented facilities of IGIS technology.
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