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  • BALTEX (the Baltic Sea Experiment) was launched in 1992 as a Continental-scale Experiment (CSE) of the Global Energy and Water Exchanges Project (GEWEX) within the World Climate Research Program (WCRP). The research focus of BALTEX was primarily on the hydrological cycle and the exchange of energy between the atmosphere and the surface of the Earth. The study region of BALTEX is the Baltic Sea and its huge catchment region. In 2015, the BALTEX Hydrological Dataset moved from Swedish Meteorological and Hydrological Institute (SMHI) to the GRDC in order to ensure sustainable operation and regular updates as an integral part of the Global Runoff Database. By release and on behalf of the National Hydrological Services, the former BALTEX stations and flow data are integrated in the Global Runoff Database.

  • The Arctic-HYCOS forms the Arctic region component of the the World Hydrological Cycle Observing System (WHYCOS) implemented to support existing international initiatives. The objective of the Arctic-HYCOS Project is to allow the collection and sharing of hydrological data to evaulate freshwater fluxes to the Arctic Ocean and Seas, monitor the changes and enhance understanding of the hydrological regime of the Arctic region. GRDC hosts this dataset on behalf of the Arctic-HYCOS member countries.

  • The Southern Africa Flow Database, established between 1992 and 1997 to support rainfall-runoff modelling, contains flow time series data from about 815 stations across Southern Africa (SA). Initially hosted at the University of Dar es Salaam during the SA FRIEND Phase I and maintained by CEH in Wallingford in Phase II, the SA Flow Database is operated by GRDC since November 2010.

  • National Hydrological Services have identified “climate sensitive” stations on request of the WMO Commission for Hydrology in order to assess the variability and trends in hydrological data associated with climate variability and change. GRDC has offered to integrate this dataset into the Global Runoff Database.

  • Wasserschutzgebiete Baden-Württembergs sichtbar im Maßsabsbereich 1:1 bis 1:499925. Bereitgestellt vom LUBW.

  • Das Landesamt für Bergbau, Energie und Geologie (LBEG) stellt Ihnen im Internet Daten aus den Bereichen Altlasten, Baugrund, Bergbau, Bodenkunde, Geologie, Grundwasser und Rohstoffe in einer Web-Mapping Anwendung mit umfangreichen Anzeige- und Auswahlfunktionen für Niedersachsen zur Verfügung. Darüber hinaus werden auch bundeslandübergreifende Daten, die in den Zuständigkeitsbereich des LBEG gehören, angeboten.

  • WMO Basins and Sub-Basins (WMOBB) is an ongoing GIS project of the Global Runoff Data Centre (GRDC). This dataset was created for the generation of GRDC map products and will be updated from time to time whenever extensions are required by future GRDC projects. At present the dataset comprises GIS layers of WMO Basins 2020 and WMO River Networks 2020.

  • BfG MapService 'CC_GAR_Temp_2000_2050', OGC:WMS 1.3.0; The maps and data sets summarise climate change information resulting from a well defined ensemble of 14 regional climate simulations (mainly based on EU-ENSEMBLES) for periods 2021 to 2050 and 2071 to 2100. The information are expressed as change of air temperature and precipitation with respect to the simulated present (1971-2000) averaged over meteorological seasons and 50km grid boxes. Based on the ensemble, a high, central and low estimate of the possible future development is given.

  • "Major River Basins of the World" is an ongoing GIS project of the Global Runoff Data Centre (GRDC). This dataset was created for the generation of GRDC map products and will be updated from time to time whenever extensions are required by future GRDC projects. At present the dataset comprises the GIS layers of GRDC Major River Basins 2020, GRDC Major River Networks 2020 and GRDC Major Rivers 2007.

  • BfG MapService 'CC_GAR_Prec_2000_2100', OGC:WMS 1.3.0; The maps and data sets summarise climate change information resulting from a well defined ensemble of 14 regional climate simulations (mainly based on EU-ENSEMBLES) for periods 2021 to 2050 and 2071 to 2100. The information are expressed as change of air temperature and precipitation with respect to the simulated present (1971-2000) averaged over meteorological seasons and 50km grid boxes. Based on the ensemble, a high, central and low estimate of the possible future development is given.

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