Classification of Synoptic Patterns with Mesoscale Mechanisms for
Downslope Windstorms in Korea using the Self-Organizing Map
Abstract
Downslope windstorms are responsible for wildfires, wind gusts, and
turbulence in the lee side of the Taebaek Mountains, called Yeongdong
region (YD) in Korea. We classified the synoptic conditions of the
windstorms in the YD using a Self-Organizing Map (SOM). For the
windstorm events from 1979 to 2019, sea level pressure anomalies were
used to train the SOM. It was found that the synoptic patterns could be
classified into three representative types: 1) the south high and north
low pattern in spring, 2) the west high and east low pattern in winter,
and 3) the strong low-pressure system passing the northern part of
Korea. At the 850 hPa level, prevailing southwesterly (nortwesterly)
flow with warm (cold) advection was dominant in Type 1 (2), and Type 3
presented a well-developed baroclinic system of cyclone. Adiabatic
warming by downslope windstorm is the strongest in Type 1, which is
likely to have a huge impact on the spread of wildfires. Three mesoscale
generation mechanisms were examined under different synoptic patterns.
Hydraulic jump theory was dominant for the windstorms in Type 2 due to
upstream flows with moderate Froude numbers and inversion layers. The
partial reflection of mountain waves was found in all types but more
frequent in Type 1 than others. Downslope windstorms with wave breaking
at critical levels mostly occurred in Type 1. This objective
classification of weather patterns responsible for downslope windstorm
in the YD is useful for better prediction and future projection of this
event with climate change.