
How Does Climate Change Affect Changma Precipitation
Formation Process of the Stationary Front

Cloud band during Changma (GK-2A), showing the stationary front, North Pacific High, low-level water vapor flux, and upper-level jet (KMA, 2022)
The Changma front is a classic example of a quasi-stationary front. The physical mechanism can be explained by looking at its boundary, stationary status, and baroclinicity.
Firstly, the Changma front forms along the boundary between two dominant air masses; the Western North Pacific Subtropical High (WNPSH), which transport warm, highly moist air northward, and the Okhotsk High (or the modified continental air mass), which supplies cooler air from north-east.
After the collision of two different types of air mass, the front remains quasi-stationary. This is when the advection of momentum is nearly balanced. The balance is often modulated by the intensity and position of the upper-level flow, such as the jet stream, and the strength of the WNPSH.
Lastly, the frontal zone is highly baroclinic meaning that the surfaces of constant pressure are not parallel to the surfaces of the constant temperature. This thermal gradient fuels the atmospheric instability necessary for cyclone/wave development along the front, which further enhances the localized rainfall intensity.
Meteorological Analysis of Heavy Rainfall Events: The 2018 Changma Season
Visualizing the Changma season allows for an intuitive understanding of its impact.
We present two distinct heavy rainfall events from 2018 as visual case studies. By observing these patterns, ranging from accumulated rainfall maps to surface pressure charts and satellite imagery, we can see the actual 'shape' and atmospheric dynamics of the monsoon.
This comparison between June and August offers a clear picture of the synoptic conditions that drive these intense summer storms.
Rainfall Data
The spatial concentration of the heavy rain on the rainfall data allows us to see exactly where the Changma front deposited the most precipitation.

FIGURE 1 | The upper panels show the 36 h accumulated rainfall amounts (mm) from (A) 15:00 UTC on June 25 to 03:00 UTC on June 27, 2018 and from (B) 15:00 UTC on August 25 to 03:00 UTC on August 27, 2018. (Shin et al., 2022)
Surface Weather Charts
Surface weather chart illustrates the synoptic 'engine' behind the storm. The pressure lines and wind fields reveal the structural forces driving the monsoon system.

FIGURE 2 | The middle panels show surface weather charts obtained from the KMA at (C) 12:00 UTC on June 26, 2018 and (D) 12:00 UTC on August 26, 2018. The solid blue lines indicate the sea-level pressure (hPa), and the violet shadings represent the area with wind speed >25 knots.
Satellite Imagery
Satellite Images captures the massive physical scale of the convective clouds, providing a direct visual confirmation of the weather systems identified in the charts above.

FIGURE 3 | The text “TD” in (D) represents the tropical depression. The bottom panels are satellite images obtained from the Communication, Ocean, and MeteorologicalSatellite (COMS) at (E) 12:00 UTC on June 26, 2018 and (F) 12:00 UTC on August 26, 2018.