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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 ...
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.
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 E–OBS daily gridded dataset is a European land-only, high-resolution gridded observational dataset produced using the ECA&D blended daily station data. The dataset covers the area 25–75N x 40W–75E and comes in two grid flavours with two resolutions: a 0.22° and 0.44° rotated grid (North Pole at 39.25N, 162W) and a 0.25° and 0.50 ...
The scientific data type layer identifies specific types of data, such as grids, images, and point data, and adds specialized methods for each kind of data. The data model of the data access layer is a generalization of the NetCDF-3 data model, and substantially the same as the NetCDF-4 data model.
Giovanni is a Web interface that allows users to analyze NASA's gridded data from various satellite and surface observations. Giovanni lets researchers examine data on atmospheric chemistry, atmospheric temperature, water vapor and clouds, atmospheric aerosols, precipitation, and ocean chlorophyll and surface temperature. The primary data ...
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.
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 ...