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  • Since July 2020, the DWD has been offering the crowdsourcing module User Reports in its WarnWetter app. This gives app users the opportunity to make their own reports on current weather and severe weather events available to the DWD and other users. The data are now also made available on Open Data in daily packages. The user reports are snapshots of the current weather conditions at a location at a certain point in time. They have the advantage of collecting information on the weather near the ground, where there is no weather station in the immediate vicinity. These can then supplement the data network. In particular, striking weather events can be well assessed through the impact of user data and improve warning management. No advanced quality assurance is carried out for the user reports, but a largely correct meteorological assessment of the weather situation by the reporters is assumed. With the help of reference data sets, an instantaneous filtering of false reports takes place. In addition, meteorological false alerts can also be reported manually by users. Thus, users are granted a certain meteorological estimation of the weather situation. Through crowdsourcing, the truth of the report can also be checked for plausibility: The more reports are submitted at a location at a certain time, the more likely an event is. The user reports are made available in the Open Data portal in GeoJson format. The retention period is 60 days. Adjustments to the data are possible at any time and are announced via the RSS feed. Each file contains the accumulated messages of one day (00:00 UTC to 23:59 UTC) and is provided with a 24h delay. Translated with www.DeepL.com/Translator (free version)

  • Der WMS-Dienst Grundlagendaten der mit Nitrat belasteten Gebiete nach §13a Düngeverordnung enthält die zur Erstellung der Gebiete nach §5, §13a Düngeverordnung und §38a WHG verwendeten Grundlagendaten. Dazu gehören: Grundwasserkörper (GWK), Zustand der GWK hinsichtlich Nitrat, Die Ermittlung der Nitrataustragsgefährdung nach §7 AVV Gebietsausweisung (GeA), Die Ermittlung der potentiellen Nitratausträge gemäß §8 AVV GeA

  • Considering water as the primary resource necessary for social life, agriculture, industry, and wealth, the importance of groundwater investigation is clear. Apart from many other pollutants, this work focusses on geogenic uranium (U) and radium (Ra), which both stand for natural radionuclides (NORM) that need to be considered frame of groundwater exploration and monitoring programmes due to their specific mobility and chemo-/radiotoxicity. As investigation of U and – to a lesser extent - Ra is done by an increasing number of scientific working groups, the global dataset is improving continuously. In order to give a summarized overview on available and recent literature, scientific papers, reports, and governmental documents have been reviewed for U-238 mass concentrations and Ra-226 and Ra-228 activity concentrations and collected in tables and global maps. Further natural isotopes of U and Ra have been rarely subject of investigation. The collected data were evaluated and interpreted in frame of an associated scientific publication (see citation). From the available data it can be concluded that high geogenic U occur mainly under oxidizing conditions and carbonate rich groundwater, which might be seen as indicator for elevated U concentrations. Certain geological formations, as for example sedimentary, granitic, and volcanic host rocks, promote high U concentrations in groundwater. For geogenic Ra, the search for definite indications proved difficult, since less clear correlation is given for any observed factor. In a global perspective, the most promising evidence for elevated Ra are highly reducing redox conditions, as well as the occurrence of Fe/Mn mineral phases. Furthermore, barite represents a sink for Ra due to its ability to incorporate Ra isotopes. Dissolution of those mineral phases eventually results in co-dissolution of Ra, when Ra is found in host rocks of investigated aquifers, or downstream of such groundwater reservoirs. Furthermore, cation exchange might enhance Ra mobility process, especially in case of sedimentary aquifers with low sorption capacity and/or aquifers with high salinity. Given those chemical requirements for the occurrence of U and Ra, a negative correlation between mother and daughter nuclide can be established. When knowledge on present geological and geochemical constraints is available, elevated U and Ra concentrations might be predictable, as long as anthropogenic influence is excluded.

  • The WMS SuK-Nord (INSPIRE) shows the geological distribution of aggregates (sand and gravel) in Northern Germany, especially north of the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation). According to the Data Specification on Mineral Resources (D2.8.III.21) and Geology (D2.8.II.4_v3.0) the map provides INSPIRE-compliant data. The WMS GK2000 Lagerstätten (INSPIRE) contains the following layers: MR.MineralOccurence.Commodity represents the distribution of sand and gravel. GE.GeomorphologicFeature shows the southernmost maximum of the Scandinavian inland ice sheet (Saalian and Elsterian glaciation).

  • Points of Interest (Punkte von Interesse) beinhalten bodenkundliche Punktdaten des Geologischen Diensts NRW. Der WMS stellt Entnahmepunkte von Lackprofilen und die Standorte der Bodenfeuchte-Messstationen bereit. Als Links angebunden sind ausführliche Lackprofilbeschreibungen und tagesaktuelle Messwerte der Bodenfeuchte-Messstationen.

  • High resolution radar data (lmax) of Ummendorf

  • Which salt formations are suitable for storing hydrogen or compressed air? In the InSpEE-DS research project, scientists developed requirements and criteria for the assessment of suitable sites even if their exploration is still at an early stage and there is little knowledge of the salinaries’ structures. Scientists at DEEP.KBB GmbH in Hanover, worked together with their project partners at BGR and the Leibniz University Hanover, Institute for Geotechnics, to develop the planning basis for the site selection and for the construction of storage caverns in flat layered salt and multiple or double saliniferous formations. Such caverns could store renewable energy in the form of hydrogen or compressed air. While the previous project InSpEE was limited to salt formations of great thickness in Northern Germany, salt horizons of different ages have now been examined all over Germany. To estimate the potential, depth contour maps of the top and the base as well as thickness maps of the respective stratigraphic units were developed. Due to the present INSPIRE geological data model, it was necessary, in contrast to the original dataset, to classify the boundary lines of the potential storage areas in the Zechstein base and thickness layers, whereby the classification of these lines was taken from the top Zechstein layer. Consequently, the boundary element Depth criterion 2000 m (Teufe-Kriterium 2000 m) corresponds on each level to the 2000 m depth of Top Zechstein. However, the boundary of national borders and the boundary of the data basis could not be implemented in the data model and are therefore not included in the dataset. Information on compressed air and hydrogen storage potential is given for the identified areas and for the individual federal states. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of InSpEE-DS (INSPIRE) is stored in 18 INSPIRE-compliant GML files: InSpEE_DS_GeologicUnit_Isopachs_Zechstein.gml contains the Zechstein isopachs. InSpEE_DS_GeologicUnit_Isobaths_Top_Zechstein.gml and InSpEE_DS_GeologicUnit_Isobaths_Basis_Zechstein.gml contain the isobaths of the top and basis of Zechstein. The three files InSpEE_DS_GeologicStructure_ThicknessMap_Zechstein, InSpEE_DS_GeologicStructure_Top_Zechstein and InSpEE_DS_GeologicStructure_Basis_Zechstein represent the faults of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Boundary_element_Potential_areas_Zechstein.gml contains the boundary elments of the potential areas at the top and the basis of Zechstein as well as of the Zechstein body. The three files InSpEE_DS_GeologicUnit_Uncertainty_areas_ThicknessMap_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Top_Zechstein.gml, InSpEE_DS_GeologicUnit_Uncertainty_areas_Basis_Zechstein.gml represent the uncertainty areas of the Zechstein body as well as at the top and at the basis of the Zechstein body. InSpEE_DS_GeologicUnit_Potentially_usable_storage_areas_Storage_potential_in_the_federal_states.gml comprises the areas with storage potential for renewable energy in the form of hydrogen and compressed air. The six files InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Malm.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Keuper.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Muschelkalk.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Roet.gml, InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Zechstein.gml and InSpEE_DS_GeologicUnit_Salt_distribution_in_Germany_Rotliegend.gml represent the salt distribution of the respective stratigraphic unit. InSpEE_DS_GeologicUnit_General_salt_distribution.gml represents the general salt distribution in Germany. This geographic information is product of a BMWi-funded research project "InSpEE-DS" running from the year 2015 to 2019. The acronym stands for "Information system salt: planning basis, selection criteria and estimation of the potential for the construction of salt caverns for the storage of renewable energies (hydrogen and compressed air) - double saline and flat salt layers".

  • The QBQQ99 TTAAii Data Designators decode as: T1 (Q): Pictorial information regional (Binary coded) T1T2 (QB): Cloud A2 (Q): 48 hours forecast T1ii (Q99): 1000 hPa (Remarks from Volume-C: Cloud amount CM clouds H+42,+48 (gpv) Alpen)

  • The PEUH98 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PE): Precipitation A2 (H): 42 hours forecast T1ii (P98): Air priorities for the Earth's surface (Remarks from Volume-C: H+42, H+54 RR 12-hour)

  • The FODL44 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FO): Guidance A1A2 (DL): Germany (The bulletin collects reports from stations: EDZB;) (Remarks from Volume-C: Nowcasting EDDB)

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