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The following is an example METAR from Burgas Airport in Burgas, Bulgaria. It was taken on 4 February 2005 at 16:00 Coordinated Universal Time (UTC). METAR LBBG 041600Z 12012MPS 090V150 1400 R04/P1500N R22/P1500U +SN BKN022 OVC050 M04/M07 Q1020 NOSIG 8849//91= METAR indicates that the following is a standard hourly observation.
Automated Meteorological Data Acquisition System (AMeDAS), commonly known in Japanese as "アメダス" (amedasu), is a high-resolution surface observation network developed by the Japan Meteorological Agency (JMA) used for gathering regional weather data and verifying forecast performance. The system began operating on 1 November 1974, and ...
Surface weather observations can include the following elements: The Station Identifier, or Location identifier, consists of four characters for METAR observations, [13] with the first representing the region of the world the station lies within. For example, the first letter for areas in and around the Pacific Ocean is P, and for Europe is E.
Data dissemination is usually via an automated VHF airband radio frequency (108-137 MHz) at each airport, broadcasting the automated weather observation. This is often via the automatic terminal information service (ATIS). Most automated weather stations also have discrete phone numbers to retrieve real-time observations over the phone or ...
A TTF is a professionally considered forecast for weather over a two-hour period, [1] and is based on an actual weather report, such as a METAR or SPECI and appended to the end of it. [1] A TTF is similar to or sometimes in addition to a TAF, a terminal aerodrome forecast, but during the TTF's validity period is considered superior to a TAF.
The change from manual observations to automatic weather stations is a major non-climatic change in the climate record. [6] The change in instrumentation, enclosure and location can lead to a jump in, for example, the measured temperature or precipitation values, which can lead to erroneous estimates of climate trends.
An example of 500 mbar geopotential height prediction from a numerical weather prediction model. In the past, human forecasters were responsible for generating the weather forecast based upon available observations. [72] Today, human input is generally confined to choosing a model based on various parameters, such as model biases and ...
A surface weather analysis for the United States on October 21, 2006. By that time, Tropical Storm Paul was active (Paul later became a hurricane). Surface weather analysis is a special type of weather map that provides a view of weather elements over a geographical area at a specified time based on information from ground-based weather stations.