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La Aurora International Airport (Spanish: Aeropuerto Internacional La Aurora, IATA: GUA, ICAO: MGGT) serves Guatemala City, Guatemala. It is located 6.4 kilometres (4.0 mi; 3.5 nmi) [ 1 ] south of Guatemala City's center and 25 km (16 mi; 13 nmi) from Antigua Guatemala .
Despite this, METAR reports from the United States also report the temperature (and dewpoint, see below) in degrees Celsius. Dew point is the temperature to which a given parcel of air must be cooled, at constant atmospheric pressure, for water vapor to condense into water. The condensed water is called dew. The dew point is a saturation point.
The DST column shows the months in which Daylight Saving Time, a.k.a. Summer Time, begins and ends. A blank DST box usually indicates that the location stays on Standard Time all year, although in some cases the location stays on Summer Time all year.
In meteorology and aviation, terminal aerodrome forecast (TAF) is a format for reporting weather forecast information, [1] particularly as it relates to aviation.. TAFs complement and use similar encoding to METAR reports.
METAR indicates that the following is a standard hourly observation. KTTN is the ICAO identifier for the Trenton-Mercer Airport . 051853Z indicates the day of the month is the 5th and the time of day is 1853 Zulu/ UTC , or 1:53PM Eastern Standard Time .
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.
MGGT GUA La Aurora International Airport: Huehuetenango: Huehuetenango: MGHT HUG Huehuetenango Airport: La Libertad: El Petén: MGLL La Libertad Airport: Malacatán: San Marcos: MGML Malacatán Airport: Masagua: Escuintla: ENJ El Naranjo Airport: Morales: Izabal: MGBN Bananera Airport: Playa Grande Ixcán: El Quiché: MGPG PKJ Playa Grande ...
The convolutional machine learning model uses meteorological broadcast services and data from airport weather stations, on-ground radar stations, weather satellites, remote sensing satellites, METAR, and automated weather stations. The company has more than 2 million customers, ranging from independent developers to Fortune 500 companies. [1]