Myanmar’s climate is heavily influenced by its geographic location and relief. Located between the Indian summer monsoon (ISM) and the East Asian summer monsoon (EASM), Myanmar’s climate is distinguished by the alternation of seasons known as the monsoon. The north-south direction of peaks and valleys creates a pattern of alternate zones of heavy and scanty precipitation during both the northeast and southwest monsoons. The majority of the rainfall has come from Myanmar’s southwest monsoon (MSwM), which is Myanmar’s rainy season (summer in global terms, June–September). This study explained both threshold-based and nonthreshold-based objective definitions of the onset and withdrawal of large-scale MSwM. The seasonal transitions in MSwM circulation and precipitation are convincingly represented by the new index, which is based on change point detection of the atmospheric moisture flow converging in the MSwM region (10–28 N, 92–102 E). A transition in vertically integrated moisture transport (VIMT), the reversal of surface winds, and an increase in precipitation may also be considered when defining MSwM onset objectively. We also define a change point of the MSwM (CPI) index for MSwM onset and withdrawal dates. The climatological mean onset of MSwM is day 135 (May 14), withdrawal is day 278 (October 4), and the total season length is 144 days. We are investigating spatial patterns of rainfall progression at and after the start of the monsoon, rather than transitions within a single region of the MSwM. The local southwest monsoon duration is well correlated with the CPI duration on interannual timescales, particularly in the peak rainfall regions, with a delay (advance) in large-scale onset or withdrawal associated with a delay (advance) of onset or withdrawal by local index. Hence, the next phase of this research is to study the maintenance and break of the monsoon to understand the underlying physical processes governing the monsoon circulation. The results of this study provide a possibility to reconstruct Myanmar’s monsoon climate dynamics, and the findings of this study can help unravel many remaining questions regarding the greater Asian monsoon system’s variability.

Upper Myanmar region, roughly located between 21° 00' N and 28° 30' N latitude and 92° 10' E and 101° 11' E longitude, is the place where the winter cold season contributes ~2% of the annual total rainfall. The rainfall associated with Western disturbances is small in quantum but veritably important for the cold season crops, maintaining the glaciers over the Putao region, hydropower generation for the whole country and hazard of Jade mining of the Upper Myanmar area. This study aims to find interannual variability and related ocean-atmospheric pattern link with Upper Myanmar cold season rainfall by using great-resolution reanalysis data (ERA5) during 1990-2020. Correlation analysis to test the validation of ERA5 gridded data with the observed data from 25 stations across Myanmar, showed a strong correlation value in the same period that enough reliable for best analysis results. An anomalous anticyclonic (cyclonic) circulation persists over the southern part of the Bay of Bengal and South China sea during wet (dry) years. Also, the warming over the Indian Ocean and the cooling over the Tibetan plateau region correspond to south-north transport of moisture, ensuing in positive rainfall anomalies over the study region during winter. The wide patches of strong negative (positive) correlation are found over the Pacific Ocean, the Atlantic Ocean, Mediterranean Sea (MED), Arabian Sea (ARS), and Red Sea (RED) during wet (dry) years. The link implies that NPO, SPO, and MED have an impact on the winter rainfall inter-annual variability. In addition, the cooling (warming) over the Indochina and western Pacific regions influences the Hadley and Walker circulation bringing above (below) normal rainfall, respectively, over Upper Myanmar. The reply of indices (PO, MED, NINO3.4, IOD, and WDs) on winter rainfall, necessary to further investigation. The complete analysis of winter rainfall aids in the understanding of past extreme events as well as the forecasting and monitoring of drought and floods in Upper Myanmar.

The aviation industry has a global economic impact of $2.7 trillion (including direct, indirect, induced, and tourism catalytic effects) and contributes 3.6 percent of global GDP. Weather is one of the most essential elements impacting how an aircraft runs and how safely it can fly. The correlation coefficient is the most significant index explaining the relationship between variables and can result in teleconnection patterns of climate indices. El Nino-Southern Oscillation (ENSO) and India Ocean Dipole (IOD) were used in this study based on the ERA5 reanalysis dataset for 30 years (1991–2020). Myanmar’s Yangon International Airport has recorded more than 119874 times of observation data from 2009 to 2019. The mean percentage of occurrences of weather elements is calculated for each month and each season. Analysis of flight delay and accident data was obtained statistically from the Aviation Safety Network (ASN). According to the monthly delay index, July, August, and March are the maximum delay index months, and the correlation value between aircraft movement and delays is maximum in July and August and minimum in January and February. After examining numerous characteristics of Yangon International Airport, we identified which elements had a big impact on operations through vital interviews with operators, the accident case study section, and climatology analysis. As a result, we identified two meteorological occurrences: thunderstorm rain (TSRA) and fog (FG) are of high frequency and TSRA poses a larger risk than FG for aviation operation. The maximum frequency (%) of thunderstorm occurrences was 22% in July and the minimum was 1% in January. Annual frequency analysis revealed that TSRA days are becoming more common year after year as a result of global climate change. According to a spatial gridded analysis by ERA5 reanalysis data (1991–2020), the annual convective available potential energy (CAPE) values over local airport regions, the Bay of Bengal (BOB), the western equatorial Pacific, and the South China Sea show a positive correlation with convective rainfall. In contrast, negative convective inhibition (CIN) anomalies have been observed over the same areas as above, except for the western part of BOB along the Indian Coast. The primary innovation is that we look at the effects of thunderstorms on airport operations before determining their link with ENSO and the IOD individually and then combining them during their full phases. This raises a new question and a new possibility for viewing climatology from a new perspective.

Government initiatives during the COVID-19 outbreak had a significant impact on global energy consumption patterns. Many international borders were blocked, and individuals were confined to their homes, restricting mobility and changing social habits. The lockdowns introduced economic, physical, and social pastimes to a halt. However, as an advantage, the world had a good effect on air quality, the environment, and greenhouse gases (GHGs), in particular CO2 emissions. When compared to the mean 2019 levels, daily worldwide CO2 emissions had fallen by –17 % (–11 to –25 % for 1) by early April 2020, with changes in surface transportation accounting for little under half of the decline. The total global CO2 reduction from January to April 2020 was predicted to be more than 1749 Mt CO2 (a 14.3 % decline), with the transportation sector contributing the most (58%) followed by coal power generation (29%), and industry (10%). As a result, transportation was identified as the primary source of more than half of the emissions reduction during the epidemic. As of August 23, 2021, 193 countries produced 8.4 million tons of pandemic-related plastic waste, with 25.9 thousand tons dumped into the ocean, accounting for 1.5 percent of total riverine plastic discharge globally. As a result of China and India's record-breaking confirmed cases, MMPW generation and discharge are projected to be more skewed toward Asia. The study found that hospital trash accounts for 73% of global discharge and that Asia accounts for 72% of global discharge, indicating the need for better medical waste management in emerging countries. This review highlights the brief lessening in GHG outflows and expanded request for single-use plastics, including the weight of an as of now out-of-control worldwide plastic squander emergency caused by the COVID-19 widespread. This review also will be helpful for people to understand the COVID-19 impact on climate change point of view. There is advantage and disadvantage brought by this pandemic and it's the best time to change the new normal of globalization. Global policies makers should consider the acute need to change the policies for a circular economy with the best environment sustainable, both during the pandemic and, more significantly, thereafter. The authors of the reference articles on the COVID-19 pandemic hope their findings will aid attempts to better understand the disease's relationship to climate change. If lessons from both global crises are learned, the world may be better prepared to deal with global climate change, which has local consequences.

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.