Dejian Yang
Hohai University
25 Papers
61 Citations
Dejian Yang is an academic researcher from Hohai University. The author has contributed to research in topics: Predictability & Forecast skill. The author has an hindex of 9, co-authored 17 publications. Previous affiliations of Dejian Yang include Nanjing University & University of Northern British Columbia.
Chat about Author
Papers
Progress in ENSO prediction and predictability study
Youmin Tang,Rong-Hua Zhang,Ting Liu,Wansuo Duan,Dejian Yang,Fei Zheng,Hong-Li Ren,Tao Lian,Chuan Gao,Dake Chen,Mu Mu +10 more
TL;DR: In this article, the authors reviewed the progress in ENSO predictions and predictability studies achieved in recent years and focused on two fundamental issues: the improvement in practical prediction skills and progress in the theoretical study of the intrinsic predictability limit.
Characteristics and Mechanisms of the Subseasonal Eastward Extension of the South Asian High
TL;DR: In this article, the authors investigated the features of eastward extension of the South Asian high and its connection with diabatic heating and rainfall over eastern Asia on subseasonal time scales.
96
Anthropogenic aerosol effects on East Asian winter monsoon: The role of black carbon‐induced Tibetan Plateau warming
Yiquan Jiang,Yiquan Jiang,Xiu-Qun Yang,Xiaohong Liu,Dejian Yang,Xuguang Sun,Minghuai Wang,Aijun Ding,Tijian Wang,Congbin Fu +9 more
TL;DR: In this paper, the authors investigated anthropogenic aerosol effects on the East Asian winter monsoon (EAWM) with Community Atmospheric Model version 5 and found that aerosol optical depth is the largest over southern East Asia and adjacent oceans.
58
Two typical modes in the variabilities of wintertime North Pacific basin-scale oceanic fronts and associated atmospheric eddy-driven jet
TL;DR: In this article, the authors defined new indexes to quantify the intensity and location of two basin-scale oceanic frontal zones in the wintertime North Pacific, i.e. the subtropical and subarctic frontal zones (STFZ, SAFZ).
31
Probabilistic versus deterministic skill in predicting the western North Pacific‐East Asian summer monsoon variability with multimodel ensembles
TL;DR: Based on historical forecasts of three quasi-operational multimodel ensemble (MME) systems, the authors assesses the superiority of coupled MME over contributing single-model ensembles (SMEs) and over uncoupled atmospheric MME in predicting the Western North Pacific-East Asian summer monsoon variability.
25