Icosahedral Nonhydrostatic
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Icosahedral Nonhydrostatic
GME (Globales Modell) was an operational global numerical weather prediction model run by Deutscher Wetterdienst, the German national meteorological service. The model was run using an almost uniform icosahedral-hexagonal grid. The GME grid point approach avoided the disadvantages of spectral techniques as well as the pole problem in latitude–longitude grids and provides a data structure well suited to high efficiency on distributed memory parallel computers. The GME replaced two previous models (the GM and EM), and was first run on 1 December 1999. Approach The GME's approach to a global grid would later be utilized by the Flow-following, finite-volume Icosahedral Model The Flow-following, finite-volume Icosahedral Model (FIM) is an experimental numerical weather prediction model that was developed at the Earth System Research Laboratories in the United States from 2008 to 2016. The FIM was developed as a candi ... (FIM), an experimental model currently in development in t ...
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Deutscher Wetterdienst
The () or DWD for short, is the German Meteorological Service, based in Offenbach am Main, Germany, which monitors weather and meteorological conditions over Germany and provides weather services for the general public and for nautical, aviation, hydrometeorological or agricultural purposes. It is attached to the Federal Ministry for Transport. The DWDs principal tasks include warning against weather-related dangers and monitoring and rating climate changes affecting Germany. The organisation runs atmospheric models on their supercomputer for precise weather forecasting. The DWD also manages the national climate archive and one of the largest specialised libraries on weather and climate worldwide. History The DWD was formed on 11 November 1952 when the weather services of the western occupation zones were merged. In 1954, the Federal Republic of Germany joined the World Meteorological Organization (WMO). In 1990, following the reunification, the weather services of t ...
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Germany
Germany, officially the Federal Republic of Germany, is a country in Central Europe. It lies between the Baltic Sea and the North Sea to the north and the Alps to the south. Its sixteen States of Germany, constituent states have a total population of over 84 million in an area of , making it the most populous member state of the European Union. It borders Denmark to the north, Poland and the Czech Republic to the east, Austria and Switzerland to the south, and France, Luxembourg, Belgium, and the Netherlands to the west. The Capital of Germany, nation's capital and List of cities in Germany by population, most populous city is Berlin and its main financial centre is Frankfurt; the largest urban area is the Ruhr. Settlement in the territory of modern Germany began in the Lower Paleolithic, with various tribes inhabiting it from the Neolithic onward, chiefly the Celts. Various Germanic peoples, Germanic tribes have inhabited the northern parts of modern Germany since classical ...
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Icosahedral-hexagonal Grid
A geodesic grid is a spatial grid based on a geodesic polyhedron or Goldberg polyhedron. History The earliest use of the (icosahedral) geodesic grid in geophysical modeling dates back to 1968 and the work by Sadourny, Arakawa, and Mintz and Williamson. Later work expanded on this base. Construction A geodesic grid is a global Earth spatial reference that uses polygon tiles based on the subdivision of a polyhedron (usually the icosahedron, and usually a Class I subdivision) to subdivide the surface of the Earth. Such a grid does not have a straightforward relationship to latitude and longitude, but conforms to many of the main criteria for a statistically valid discrete global grid. Primarily, the cells' area and shape are generally similar, especially near the poles where many other spatial grids have singularities or heavy distortion. The popular Quaternary Triangular Mesh (QTM) falls into this category. Geodesic grids may use the dual polyhedron of the geodesic polyhedron, w ...
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Monthly Weather Review
The ''Monthly Weather Review'' is a peer-reviewed scientific journal published by the American Meteorological Society. It covers research related to analysis and prediction of observed and modeled circulations of the atmosphere, including technique development, data assimilation, model validation, and relevant case studies. This includes papers on numerical techniques and data assimilation techniques that apply to the atmosphere and/or ocean environment. The current editor-in-chief is Ron McTaggart-Cowan (Environment and Climate Change Canada). History Source: The journal was first published in January 1873 by the United States Army Signal Corps, but issues were later extended back to the start of the federal government's fiscal year (July 1872). It was issued by the Office of the Chief Signal Officer until 1891. In 1891, the Signal Office's meteorological responsibilities were transferred to the Weather Bureau under the United States Department of Agriculture. The Weather Burea ...
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American Meteorological Society
The American Meteorological Society (AMS) is a scientific and professional organization in the United States promoting and disseminating information about the atmospheric, oceanic, and hydrologic sciences. Its mission is to advance the atmospheric and related sciences, technologies, specifications, applications and services for the benefit of society. Background Founded on December 29, 1919, by Charles F. Brooks, at a meeting of the American Association for the Advancement of Science in St. Louis, and incorporated on January 21, 1920, the American Meteorological Society has a membership of more than 13,000 weather, water, and climate scientists, professionals, researchers, educators, students, and enthusiasts. AMS publishes 12 atmospheric and related oceanic and hydrologic journals (in print and online), sponsors as many as twelve conferences annually, and administers professional certification programs and awards. The AMS Policy and Education programs promote scientific kn ...
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Flow-following, Finite-volume Icosahedral Model
The Flow-following, finite-volume Icosahedral Model (FIM) is an experimental numerical weather prediction model that was developed at the Earth System Research Laboratories in the United States from 2008 to 2016. The FIM was developed as a candidate to eventually supplant the Global Forecast System, the United States's current medium-range forecast model. The FIM was originally slated to become operational some time in 2014 but never did so. The model produces similar results to the GFS, but runs slower on the NWS's operational computers. Its three-part name derives from its key features: "flow-following" indicates that its vertical coordinates are based on both terrain and potential temperature (isentropic sigma coordinates, previously used in the now-discontinued rapid update cycle model), and "finite-volume" describes the method used for calculating horizontal transport. The "icosahedral" portion describes the model's most uncommon feature: whereas most grid-based forecast ...
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