The basis of the Numerical Ocean Wave Prediction of the Deutscher Wetterdienst (DWD) is a 3rd generation spectral wave model (3G-WAveModel). Spectral models describe the sea state in terms of the 2-dimensional distribution of wave energy by frequency (or period or wave number) and propagation direction. In the current version, a resolution of 36 directions and 30 frequencies (wave periods between 1.5 and 24 seconds) is used. In the numerical model, the temporal evolution of the wave energy spectrum is calculated at a multi-tude of points of a grid stretched over the sea surface. The wave energy changes through the following physical processes: • Wave growth due to the downward momentum flux from the wind field • Wave propagation (advection, refraction) • Redistribution of energy between wavenumbers due to nonlinear interactions • Dissipation (internal friction and wave breaking) Similar to the chain of atmospheric models (ICON, ICON-EU and ICON-D2), the wave prediction system serves more than one forecast areas: the global model GWAM, the European model EWAM and the high-resolution coastal model CWAM. In the model, wave growth is forced by analyzed and predicted 10m winds of the atmospheric models.
WebMapService for climate data hosted by Deutscher Wetterdienst
The Geological Map of Germany 1:1,000,000 (GK1000) represents the geology of Germany and adjacent areas. The Quaternary units of Northern Germany and the Alpine foreland are described by their genesis.The older sedimentary rocks are classified by age (stratigraphy); igneous and metamorphic rocks are classified by their composition (lithology).
The map shows the representative chemical content of groundwater for 22 hydrogeological subregions of Germany. The classification of each sub-region was based on the TDS value (total dissolved solids) and the chemical inventory. According to the degree of mineralization, five classes of waters were distinguished (very small, low, medium, high and strongly changing solution contents). The classification of the waters by their chemical inventory was made according to the equivalent percentage of the main cations and anions based on the Piper quadruple diagram. With this chemical classification and the degree of mineralization, 22 geogenic groundwater types could be differentiated throughout Germany. The basis for the mapping of geogenic groundwater quality is the "Hydrogeological Regions" map. The water quality data comes from the groundwater monitoring networks of the German federal states, which were collected by the State Geological Surveys or the State Environmental Surveys. Further analyses are based on the data of the former Central Geological Institute (ZGI) of the GDR. In total, sample data of nearly 8,000 observation wells have been evaluated.
In addition to substances that serve as nutrients for the plants, there are also pollutants in the soil which in higher concentrations can impair the growth of plants and animals. Some substances (e.g., nickel) are essential in low concentrations but in higher concentrations they are toxic. The human being mostly is responsible for excessively high pollutant concentrations; However, there are naturally also increased levels of pollutants, which are mostly derived from the parent material. Background values describe the typical natural concentrations of these substances in our soils. The storage of pollutants and their possible degradation in the soil prevent the transfer of the pollutants into the groundwater. The theme maps for the substances in soils of Germany are based on the non-and landuse stratified soil map of Germany 1: 1.000.000 (BUEK1000, BUEK1000N) and data sets from the FISBo laboratory and profile database and 175 data sets from literature.
The 1:5 Million International Geological Map of Europe and Adjacent Areas shows the pre-Quaternary geology of Europe onshore and offshore. In addition to the geology attributed by age, petrography and genesis, also magnetic anomalies, tectonic structures, metamorphism and – in the offshore areas – information about the continental/oceanic crust and the continental margin, are shown. The map was developed by BGR under the umbrella of the Commission of the Geological Map of the World (CGMW) and in cooperation with geological surveys organisations of 48 countries and more than 20 research institutes. For detailed information about the 'IGME 5000: More than just a map – A multinational GIS Project' please visit the IGME website. Corresponding to the INSPIRE-directive, this dataset comprises the German part of the map.
Web Map Service (WMS) of the BUEK1000. The first country wide soil map at a scale of 1:1,000,000 (BUEK1000) has been compiled on the basis of published soil maps of the former German Democratic Republic and the pre 1990 federal states of Germany. To do this, it was necessary to match the soil systems used in East and West Germany and to develop standardized descriptions of soil units. A relatively homogeneous map has resulted, which permits uniform assessment of the soils throughout Germany. The map shows 71 soil mapping units, described in the legend on the basis of the German and FAO soil systems. Each soil unit has been assigned a characteristic soil profile (Leitprofil) as an aid to map interpretation. For the first time the subdivision of the country into 12 soil regions has been represented on the map. This subdivision was coordinated with the state Geological Surveys. These soil regions will represent the highest hierarchic level of nation wide soil maps in future. The colours of soil units correspond to the standards of the 'Bodenkundliche Kartieranleitung' (KA 3; Guidelines for Soil Mapping). The various hues characterize differences in relief or soil humidity. The BUEK1000 was produced digitally. It is an important part of the spatial database integrated in the Soil Information System currently being established at the Federal Institute for Geosciences and Natural Resources (FISBo BGR). It can be used together with the characteristic soil profiles to derive thematic maps related to nation wide soil protection. The scale of the BUEK1000 makes it especially suitable for small scale evaluations at federal or EU level.
GEMAS (Geochemical Mapping of Agricultural and Grazing Land Soil in Europe) is a cooperative project between the Geochemistry Expert Group of EuroGeoSurveys and Eurometeaux. In total, more than 60 international organisations and institutions worldwide were involved in the implementation of the project. During 2008 and 2009, a total of 2219 samples of agricultural (arable land soils, 0 – 20 cm, Ap samples) and 2127 samples of grazing land (pasture land soils, 0 – 10 cm, Gr samples) soil were collected at a density of 1 site/2 500 km² each from 33 European countries, covering an area of 5,600,000 km². All samples were analysed for 52 chemical elements after an aqua regia extraction, 41 by XRF (total), TC and TOC. In addition, the agricultural soil samples were analysed for 57 elements in a mobile metal ion (MMI®) extraction and Pb isotopes. All analytical results were subject to tight external quality control procedures. The GEMAS project thus provides for the first time fully harmonised data for element concentrations and bioavailability of the elements at the continental (European) scale. The WMS presents the areal distribution of the element contents determined by different analytical methods in the shape of colour shaded contour maps with a classification in 7 and 72 levels each.
The map of the relative binding strength of isoproturon in topsoils (0-30 cm) gives an overview of the sorption of this pesticide in the soils of Germany. A high binding strength of isoproturon can reduce the harmful impact on the environment by a decreased mobility. The decomposition of isoproturon in soils was not taken into account during generation of the map. The basis for calculation of the binding strength was the soil map 1:1,000,000 (BUEK1000) as well as linking rules and tabular values of isoproturon binding from Mueller & Waldeck (2011) and Rexilius & Blume (2004). However, the rank of isoproturon binding by clay was recalculated based 175 datasets of 18 publications (shift from rank 5 to rank 1). The binding strength of isoproturon depends on the content of organic matter and the soil texture (proxy for the content of clay minerals and sesquioxides) in this evaluation.
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