中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
海洋研究所 [5]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2022 [1]
2021 [1]
2018 [1]
2017 [1]
2016 [1]
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Variations of the Eco-Hydro-Climatic Environment Response to the 2015/2016 Super El Nino Event in the Mindanao Dome Upwelling System
期刊论文
OAI收割
JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2022, 卷号: 21, 期号: 1, 页码: 69-80
作者:
Gao Wei
;
Wang Zhenyan
;
Huang Haijun
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/04/12
Mindanao Dome region
upwelling
eco-hydro-climatic variations
2015
2016 super El Nino event
carbon cycle
The increased storage of suspended particulate matter in the upper water of the tropical Western Pacific during the 2015/2016 super El Nino event
期刊论文
OAI收割
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 卷号: 39, 期号: 5, 页码: 1675-1689
作者:
Gao, Wei
;
Wang, Zhenyan
;
Li, Xuegang
;
Huang, Haijun
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/12/02
suspended particulate matter
field observations
tropical Western Pacific
2015
2016 super El Nino event
ocean carbon cycle
An improved simulation of the 2015 El Nio event by optimally correcting the initial conditions and model parameters in an intermediate coupled model
期刊论文
OAI收割
CLIMATE DYNAMICS, 2018, 卷号: 51, 期号: 1-2, 页码: 269-282
作者:
Zhang, Rong-Hua
;
Tao, Ling-Jiang
;
Gao, Chuan
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2019/08/21
The 2015 El Nino event
ICM
The CNOP-based approach
Optimal bias corrections to ICs and MPs
Processes involved in the second-year warming of the 2015 El Nio event as derived from an intermediate ocean model
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 9, 页码: 1601-1613
作者:
Zhang RongHua
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2018/01/11
2015 El Nino Event
Intermediate Ocean Model
Process Analyses
Sst Budget
The IOCAS intermediate coupled model (IOCAS ICM) and its real-time predictions of the 2015-2016 El Nino event
期刊论文
OAI收割
SCIENCE BULLETIN, 2016, 卷号: 61, 期号: 13, 页码: 1061-1070
作者:
Zhang, Rong-Hua
;
Gao, Chuan
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2016/09/19
The 2015 El Nino event
IOCAS ICM
Real-time prediction
Model performance and improvement
Air-sea interactions