인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
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.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092189911