ANALYSIS OF THE FOGGY DAYS AND ITS KEY MECHANISMS OVER THE YANGON FLIGHT REGION

A preliminary study of the foggy day analysis at Yangon International Airport was carried out from the previous author’s first study by using a statistical approach. This opens up a fresh line of inquiry and the opportunity to consider climatology from a different angle. Fog has occurred most frequently in the winter months of December and January. During the 19 years period from 2003 to 2021, we count 187038 occurrences of observation from Yangon International Airport using half-hourly METAR data. This information included 32966 instances of meteorological phenomena, including 379 incidences of mist and 7911 instances of foggy weather. The total number of days with fog varies from 23 to 91 per year, with the year 2014 having the most days with fog (91), and the year 2010 having the fewest days with fog (23). Winter has nearly six times the amount of fog days as summer and 1.5 times the amount of fog days as autumn. The most frequent time of day for fog was between 2300 and 01:00 UTC. Fog most usually occurs between 1800 and 2000 UTC following rains in the summer and early autumn. Data during the four to six hours prior to the commencement of the fog are subjected to classification criteria, 7610 of the 8289 fog events are only radiation and advection fog types. The first three months of the year have the highest incidence of radiation fog onset. The greatest frequencies of radiation fog onset are in February (17 %) and March (18 %). Fog episodes in 19 years were observed to be accompanied by stratus clouds 53.3 percent of the time, with low clouds being absent in 46.7 percent of them. The departure of the beginning and dissipation from the sunrise and sunset, respectively, can be used to analyze the behavior of each form of fog. At Yangon International Airport, the conditions where the fog was most likely to form were those when the minimum temperature fell between 16 and 27 °C (liquid fog). The latest discovery raises a new topic and a new option for interpreting climatology from a new perspective and making considerable progress in the predictability study, according to a well- known physicist in another setting.