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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.
The data is stored in GRIB format. The reanalysis was done in an effort to improve the accuracy of historical weather maps and aid in a more detailed analysis of various weather systems through a period that was severely lacking in computerized data.
The project aims to collect weather data from the past 250 years by linking international meteorological organisations to support data recovery projects and the imaging and digitisation of historical meteorological observations made at, for example, inland stations, lighthouses, or by ships at sea or in ports. [1]
It is an example of citizen science that enlists members of the public to help in scientific research. It contributes to the Atmospheric Circulation Reconstructions over the Earth initiative. [1] Data collected by Old Weather has been used by at least five different climate reanalysis projects, including HURDAT, SODA and ECMWF. [2]
Weather reconnaissance aircraft, such as this WP-3D Orion, provide data that is then used in numerical weather forecasts.. The atmosphere is a fluid.As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future.
Data extrapolation, including development or dissipation, can be used to find the likely location of a moving weather system. The intensity of rainfall from a particular cloud or group of clouds can be estimated, giving a very good indication as to whether to expect flooding, the swelling of a river etc. Depending on the area of built-up space, drainage and land-use in general, a forecast ...
pDsAUSMET – Australian meteorological data processor for AERMOD; LADM – An advanced model developed by Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) for simulating the dispersion of buoyant pollution plumes and predicting the photochemical formation of smog over complex terrain on a local to regional scale ...
Research has been growing significantly since the 2010s, and weather-drone data may in future be added to numerical weather models. [45] [46] Modern weather predictions aid in timely evacuations and potentially save lives and prevent property damage. Commerce provides pilot reports along aircraft routes, [47] and ship reports along shipping routes.