다중모델 앙상블 분석 multi-model ensemble analysis
방법 · 계산·시뮬레이션
여러 기후모델의 결과를 종합해 평균 전망과 모델 간 불확실성을 평가하는 분석이다.
연도별 연구단 논문
국가 R&D 과제 동향 (NTIS, 억 원)
2015–2024 과제 레코드 11건 · 10년 471억 · 2015–19 대비 2020–24 +109% · 대학 수행 0.3% · 서울대(본교) 0.00%. 매칭: 영문 키워드 'multi model ensemble analysis', 국문 '다중모델앙상블', '멀티모델앙상블'. 기관운영비·인력양성·출연연 주요사업비 등 과제 아닌 레코드는 뺐다.
매칭 과제의 NTIS 표준분류(1순위, 연구비 비중): 지구과학(지구/대기/해양/천문) > 기후학 56% · 지구과학(지구/대기/해양/천문) > 기후과학 28% · 지구과학(지구/대기/해양/천문) > 대기과학 16% · 건설/교통 > 수공시스템기술 0%
최근 주요 과제 (2022–2024, 연차 정부연구비 순)
| 연도 | 과제 | 수행기관 | 부처 | 억 |
|---|---|---|---|---|
| 2023 | 아태 기후정보서비스 및 연구개발 | (재)에이펙기후센터 | 기상청 | 69.1 |
교수
| 교수 | 학과 | 논문 | 2022년 이후 |
|---|---|---|---|
| 손석우 | 지구환경과학부 | 36 | 17 |
연결되는 NTIS 분류
논문 (최신순)
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