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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]
Using reference values computed for distinct areas over the same time period establishes a baseline from which anomalies are calculated, so that normalized data is used to more accurately compare temperature patterns to what is normal. [1] For example, sub-global datasets may be for land-only, ocean-only, and hemispheric time series. [1]
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.
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.
Aircraft Meteorological Data Relay; Airline teletype system; ArabiaWeather; Atmospheric Circulation Reconstructions over the Earth; Atmospheric reanalysis; Automated airport weather station; Automated Meteorological Data Acquisition System; Automated quality control of meteorological observations; Automated Weather Source
Examples include the National Oceanic and Atmospheric Administration's National Weather Service (NWS) [89] and Environment Canada's Meteorological Service (MSC). [90] Traditionally, newspaper, television, and radio have been the primary outlets for presenting weather forecast information to the public.
Parameterization in a weather or climate model is a method of replacing processes that are too small-scale or complex to be physically represented in the model by a simplified process. This can be contrasted with other processes—e.g., large-scale flow of the atmosphere—that are explicitly resolved within the models.
Meteorological phenomena are observable weather events that are explained by the science of meteorology. Meteorological phenomena are described and quantified by the variables of Earth's atmosphere: temperature, air pressure, water vapour , mass flow , and the variations and interactions of these variables, and how they change over time.