Classification of climate zones and future projections of regional climate based on high-resolution scenarios over South Korea

In this study, we classified climate zones over South Korea using high-resolution (1 km × 1 km) observational grid data (2000 ~ 2019) and projected future regional climate changes based on high-resolution climate change scenarios (2081 ~ 2100). We applied the K-means clustering method to observational annual mean temperature and total precipitation data to classify South Korea into the following six regions: mountainous-central-high/low elevation (A1/A2), plain-central/southern (B1/B2), and mountainous-southern-high/low elevation (C1/C2). Currently, mean temperatures are highest/lowest at B2/A1 (12.4°C/8.0°C) and total precipitation is highest/lowest at C1/B1 (3312 mm/1182 mm). During the late 21st century, under a low-emission scenario (SSP1-2.6), annual mean temperatures are projected to increase by 2.3 ~ 2.4°C across the six climate zones; under a high-emission scenario (SSP5-8.5), temperature is expected to increase by 5.9°C (C1) to 6.5°C (A2). Total precipitation is projected to increase most in C1 (209 mm/456 mm) and least in B1 (21 mm/155 mm) under SSP1-2.6/SSP5-8.5. Extreme heat events (TXx) will increase across all regions, especially in central areas (A1, A2, B1) of South Korea. Heavy rainfall events (RX1D) will increase most in southern areas (B2, C1, C2), especially in C1, with increases exceeding 100 mm/day. Finally, extreme climate events are projected to occur more frequently across most regions. The intensities of future extreme climate events are expected to increase not only under high-carbon scenarios, but also under low-carbon scenarios. The results of this study are fundamental data for establishing region-specific climate change adaptation strategies.

Authors

Publication Details

Journal
Journal of Climate Change Research
Published
2024-12-31
DOI
https://doi.org/10.15531/ksccr.2024.15.6.1233
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification of climate zones and future projections of regional climate based on high-resolution scenarios over South Korea

Young‐Hwa Byun, Do-Hyun Kim, Jin‐Uk Kim, Tae‐Jun Kim et al.
Journal of Climate Change Research
Climate variability and models
article

Classification of climate zones and future projections of regional climate based on high-resolution scenarios over South Korea

Young‐Hwa Byun, Do-Hyun Kim, Jin‐Uk Kim, Tae‐Jun Kim, Jae-Kwan Shim
article en

Abstract

In this study, we classified climate zones over South Korea using high-resolution (1 km × 1 km) observational grid data (2000 ~ 2019) and projected future regional climate changes based on high-resolution climate change scenarios (2081 ~ 2100). We applied the K-means clustering method to observational annual mean temperature and total precipitation data to classify South Korea into the following six regions: mountainous-central-high/low elevation (A1/A2), plain-central/southern (B1/B2), and mountainous-southern-high/low elevation (C1/C2). Currently, mean temperatures are highest/lowest at B2/A1 (12.4°C/8.0°C) and total precipitation is highest/lowest at C1/B1 (3312 mm/1182 mm). During the late 21st century, under a low-emission scenario (SSP1-2.6), annual mean temperatures are projected to increase by 2.3 ~ 2.4°C across the six climate zones; under a high-emission scenario (SSP5-8.5), temperature is expected to increase by 5.9°C (C1) to 6.5°C (A2). Total precipitation is projected to increase most in C1 (209 mm/456 mm) and least in B1 (21 mm/155 mm) under SSP1-2.6/SSP5-8.5. Extreme heat events (TXx) will increase across all regions, especially in central areas (A1, A2, B1) of South Korea. Heavy rainfall events (RX1D) will increase most in southern areas (B2, C1, C2), especially in C1, with increases exceeding 100 mm/day. Finally, extreme climate events are projected to occur more frequently across most regions. The intensities of future extreme climate events are expected to increase not only under high-carbon scenarios, but also under low-carbon scenarios. The results of this study are fundamental data for establishing region-specific climate change adaptation strategies.

Journal of Climate Change ResearchVol. 15(6)
Climate action
Openalex Percentile: Top 78%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.