SNUEI

Variability of Daily Maximum Wind Speed across China, 1975–2016: An Examination of Likely Causes

2020 · Journal of Climate

저자

Gangfeng Zhang, César Azorín-Molina, Deliang Chen, José A. Guijarro, Feng Kong, Lorenzo Minola, Tim R. McVicar, 손석우 (Seok‐Woo Son), Peijun Shi

연구주제

Climate variability and models · Meteorological Phenomena and Simulations · Atmospheric aerosols and clouds

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.

AI 연구 키워드·방법

multidecadal variability 지표 풍속 지표 풍속 감소(윈드 스틸링)

자료 균질화 지점 관측자료 분석

키워드 (OpenAlex)

wind speed decline multidecadal variability climate change attribution seasonal variation Arctic Oscillation Southern Oscillation atmospheric circulation changes horizontal pressure gradient

초록

Abstract Assessing change in daily maximum wind speed and its likely causes is crucial for many applications such as wind power generation and wind disaster risk governance. Multidecadal variability of observed near-surface daily maximum wind speed (DMWS) from 778 stations over China is analyzed for 1975–2016. A robust homogenization protocol using the R package Climatol was applied to the DMWS observations. The homogenized dataset displayed a significant (p < 0.05) declining trend of −0.038 m s−1 decade−1 for all China annually, with decreases in winter (−0.355 m s−1 decade−1, p < 0.05) and autumn (−0.108 m s−1 decade−1; p < 0.05) and increases in summer (+0.272 m s−1 decade−1, p < 0.05) along with a weak recovery in spring (+0.032 m s−1 decade−1; p > 0.10); that is, DMWS declined during the cold semester (October–March) and increased during the warm semester (April–September). Correlat…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

연도과제부처사업수행기관NTIS 분류(1순위)
2020지구환경과학사업단교육부BK21플러스사업(R&D)서울대학교–

인접 그래프

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교수 1

손석우

연구주제 1

Climate variability and models

키워드 2

지표 풍속 감소(윈드 스틸링) · 지표 풍속

방법 2

지점 관측자료 분석 · 자료 균질화