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GRIB (GRIdded Binary or General Regularly-distributed Information in Binary form [1]) is a concise data format commonly used in meteorology to store historical and forecast weather data. It is standardized by the World Meteorological Organization 's Commission for Basic Systems, known under number GRIB FM 92-IX, described in WMO Manual on Codes ...
STANAG 6022 is the latest step [1] in artillery meteorological messaging, which provides for gridded meteorological data. This means that instead of using a single Radiosonde ascent capturing local data over a short time period, and circulating that information using older formats, such as the Standard Computer Meteorological message (METCM) under STANAG 4082, it provides a grid of data in ...
The Climate Data Analysis Tool (CDAT) is plotting software used in atmospheric sciences and climatology. CDAT is a software used in atmospheric sciences and climatology to display meteorological fields such as pressure, temperature, or wind speeds. It allows to read gridded meteorological data in different formats such as netCDF or GRIB and ...
CF is intended for use with state estimation and forecasting data, in the atmosphere, ocean, and other physical domains. It was designed primarily to address gridded data types such as numerical weather prediction model outputs and climatology data in which data binning is used to impose a regular structure.
An atmospheric reanalysis (also: meteorological reanalysis and climate reanalysis) is a meteorological and climate data assimilation project which aims to assimilate historical atmospheric observational data spanning an extended period, using a single consistent assimilation (or "analysis") scheme throughout.
Metview offers also various tools to explore and display the content of meteorological file formats, such as GRIdded Binary or General Regularly-distributed Information in Binary form , Binary Universal Form for the Representation of meteorological data , Network Common Data Form , and OpenDocument Database Front End Document Format (ODB).
GrADS uses a 4-Dimensional data environment: longitude, latitude, vertical level, and time. Data sets are placed within the 4-D space by use of a data descriptor file. GrADS interprets station data as well as gridded data, and the grids may be regular, non-linearly spaced, Gaussian, or of variable resolution. Data from different data sets may ...
Through the 1970s the unit worked on interpreting documentary historical records. From 1978 onward CRU began production of its gridded data set of land air temperature anomalies based on instrumental temperature records held by National Meteorological Organisations around the world. In 1986 sea temperatures were added to form a synthesis of ...