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Kutaisi International Airport (IATA: KUT, ICAO: UGKO), also known as David the Builder Kutaisi International Airport [3], is an airport located 14 km (8.7 mi) west of Kutaisi, the third largest city in the country of Georgia and capital of the western region of Imereti. It is the second busiest airport in Georgia with 1,7 million passengers ...
TAFs are issued at least four times a day, every six hours, for major civil airfields: 0000, 0600, 1200 and 1800 UTC, [4] and generally apply to a 24- or 30-hour period, and an area within approximately five statute miles (8.0 km) (or 5 nautical miles (9.3 km) in Canada) from the center of an airport runway complex. TAFs are issued every three ...
Automatic terminal information service, or ATIS, is a continuous broadcast of recorded aeronautical information in busier terminal areas.ATIS broadcasts contain essential information, such as current weather information, active runways, available approaches, and any other information required by the pilots, such as important NOTAMs.
It is bounded to the west by the Black Sea, ... 5. Queen Tamar Airport: Mestia — / UGMS 6,858 8,625 ... Kutaisi International Airport
Storm Herminia brings gusts of up to 83 miles per hour to the UK as the Met Office issues yellow weather warnings.
At 10:53, the flight, 32 kilometers north-west of Kutaisi airport and 7 kilometers north of Gegechkori, crashed into the mountainside at 900 meters. The aircraft was completely destroyed and caught fire. All 32 people on board were killed. [3] The total on board should have been 5 crew members and 24 passengers.
Over 45 airlines operate from the airport, with nonstop or direct flights to over 25 countries. [2] [3] Tbilisi Airport is a hub for Georgian Airways, flag carrier of Georgia, as well as for Georgian Wings, MyWay Airlines and Camex. In 2015, Tbilisi City Assembly named the airport after famous medieval Georgian poet Shota Rustaveli. [4]
Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-of-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models. [83] [84]