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From 1 - 10 / 1935
  • Zambia faces an increasing demand of industrial- and drinking water. In the field Zambia faces an increasing demand of industrial- and drinking water. In the fields of water supply and management, the Zambian government cooperates with BGR as one of the implementing agencies of the German Development Cooperation and other partners. The project "Groundwater Resources for Southern Province" aims at solutions for the southern parts of the country in which surface water is scarce and only temporarily available. Accurate and updated information about quality and quantity on both surface and groundwater resources is required to regulate its use and to establish an integrated and sustainable management of the Nation’s water resources. One result of data research is reflected in the GIS-based Hydrogeological Map "Southern Kariba Lake and Kalomo", scale 1:250,000.

  • The Land use-stratified soil map of Germany 1:1,000,000 (BUEK1000N), Version 2.31, was subdivided according to the main land cover types (forest, cropland and grassland) using the 1990 CORINE Land Cover data. However, it cannot be expected that the legend of this soil map is valid for the CORINE areas (in this project processed as vector data with the resolution of ca. 0,25 km2) rather than for larger patches (ca. 4 km2). Thus, the land cover data had to be generalized. The original land-cover classes were first aggregated into 14 combined classes, then generalized to at least 4 km2 patches, and finally intersected with the soil map units. The unchanged original soil map units were thus geometrically subdivided by land cover. Soil regions, soil landscapes and European climatic zones were also considered in order to stratify the legend of this new digital database. In another working step, the descriptions of the soil legend units were re-written in order to distinguish and to describe typical soil types and soil profiles under forest, cropland and grassland. For that, data from the BGR soil profile data base and from higher resolution soil maps as well as soil profiles from the national forest soil condition monitoring were evaluated. The results are stored in a relational database which is part of the BGR soil information system “FISBo BGR”. An additional, 54-page booklet with explanations for BUEK1000N can be purchased at the GeoCenter Touristik Medien Service GmbH in D-70565 Stuttgart.

  • The present Single Beam Echosounder Data were recorded within the framework of the hydrographic survey of the Federal Maritime and Hydrographic Agency, but were not subjected to any further quality assurance or validation. Please note that these data sets are raw data.

  • SWACI is a research project of DLR supported by the State Government of Mecklenburg-Vorpommern. Radio signals, transmitted by modern communication and navigation systems may be heavily disturbed by space weather hazards. Thus, severe temporal and spatial changes of the electron density in the ionosphere may significantly degrade the signal quality of various radio systems which even may lead to a complete loss of the signal. By providing specific space weather information, in particular now- and forecast of the ionospheric state, the accuracy and reliability of impacted communication and navigation systems shall be improved. The total electron content (TEC) is defined as the integral of the electron density along the ray path between satellite and receiver. Thus, TEC provides the number of electrons per square meter. The most frequently used unit is 1TECU = 1x1016 electrons / m2. TEC is derived from dual frequency code and carrier phase measurements provided by Global Navigation Satellite Systems (GNSS). SWACI uses GPS measurements from various European GNSS networks such as the International GNSS Service (IGS), European Reference Frame (EUREF), Norwegian Mapping Authority (NMA), and ascos distributed by the Federal Agency of Cartography and Geodesy (BKG) Frankfurt. The global TEC maps are mainly created by using data provided by the International GNSS Service Real-Time Pilot Project (IGS-RTPP). To generate TEC maps of vertical TEC, the slant measurements have to be transformed to the vertical. In a first approximation the ionospheric range error in GNSS is proportional to TEC. These TEC maps are used to derive latitudinal and zonal gradients, rate of change of TEC (5 min increments), 27 days medians, hourly forecasts of TEC, and corresponding error estimates. Spatial resolution (latitude x longitude): 2 °x 2° (Europe), 2.5° x 5° (globally)

  • The International Hydrogeological Map of Europe, scale 1 : 1,500,000 is a series of general hydrogeological maps comprising 25 map sheets with explanatory notes, covering the whole European continent and parts of the Near East. The national contributions to this map series were compiled by hydrogeologists and experts in related sciences of the countries concerned under the auspices of the International Association of Hydrogeologists (IAH), Commission on Hydrogeological Maps (COHYM). The project is supported by the Commission for the Geological Map of the World (CGMW). The scientific editorial work is supported financially by the Government of the Federal Republic of Germany through the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) and by the United Nations Educational, Scientific and Cultural Organization (UNESCO). These organizations are responsible for the cartography, printing and publication of the map sheets and explanatory notes. The series of hydrogeological maps seeks to represent the hydrogeological setting of Europe as a whole without regard to political boundaries. Together with the information presented in the accompanying explanatory notes, the map can be used for scientific purposes, for large-scale regional planning and as a basis for detailed hydrogeological mapping.

  • This product contains the atmospherically corrected water albedo product of a Sentinel-2 Level 1C scene. A water-land-cloud mask based on analysis of the atmospherically corrected scene on water, land and cloud specific spectral properties is also delivered. The product is initially provided for the region of Hamburg. The albedo product consists of the Sentinel-2 Level 1C bands 1, 2, 3, 4, 5, 6, 7, 8, 8a, 11, and 12 at 10 m spatial resolution, where a change of 1 digit is equivalent to a change of 0.0001 (0.01 %) in reflectance. The mask product has 10 m spatial resolution with values 0 (land), 1 (water), and 2 (cloud). File format of value added product: ENVI BIL Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other. Sensor: MSI (Multispectral Instrument) Repeat rate: 5 days (with two satellites) Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B) Archiving start date: 27 June 2015 Mission Status: ongoing Terms and conditions for the use of Sentinel data https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/TC_Sentinel_Data_31072014.pdf Sentinel-2 Mission Overview https://sentinel.esa.int/web/sentinel/missions/sentinel-2 Sentinel-2 acquisition plans: https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisition-plans

  • 'aquaControl' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.7a aquaControl (6.7a aqua planet control) - Version 1: Consistent with CFMIP requirements, impose zonally uniform SSTs on a planet without continents. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.

  • 'sstClim' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.

  • 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.1 rcp45 (4.1 RCP4.5) - Version 1: Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.

  • rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

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