IOCAS-IR

浏览/检索结果: 共18条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
2018 Continues Record Global Ocean Warming 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 3, 页码: 249-252
作者:  Cheng, Lijing;  Zhu, Jiang;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John T.;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou
Adobe PDF(1850Kb)  |  收藏  |  浏览/下载:252/0  |  提交时间:2019/08/27
Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 11, 页码: 1362-1372
作者:  Li, Xia;  Wang, Qiang;  Mu, Mu
Adobe PDF(16199Kb)  |  收藏  |  浏览/下载:333/0  |  提交时间:2019/08/27
Kuroshio large meander  predictability  ROMS  optimal initial error growth  
Persistence of Summer Sea Surface Temperature Anomalies in the Midlatitude North Pacific and Its Interdecadal Variability 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 868-880
作者:  Zhao, Xia;  Yang, Guang;  Wang, Jing
Adobe PDF(16671Kb)  |  收藏  |  浏览/下载:229/0  |  提交时间:2019/08/21
SSTAs persistence  summertime  Kuroshio Extension  cloud feedback  interdecadal variability  
ENSO Predictions in an Intermediate Coupled Model Influenced by Removing Initial Condition Errors in Sensitive Areas: A Target Observation Perspective 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 853-867
作者:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载:339/0  |  提交时间:2019/08/21
El Nino prediction  initial condition errors  target observations  
Role of parameter errors in the spring predictability barrier for ENSO events in the Zebiak-Cane model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 3, 页码: 647-656
作者:  Yu Liang;  Mu Mu;  Yu, Yanshan;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China.
Adobe PDF(500Kb)  |  收藏  |  浏览/下载:205/0  |  提交时间:2015/06/11
Enso Predictability  Spring Predictability Barrier  Initial Errors  Parameter Errors  Error Growth  
Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts? 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 2, 页码: 252-262
作者:  Qin Xiaohao;  Mu Mu;  Qin, XH (reprint author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
Adobe PDF(2793Kb)  |  收藏  |  浏览/下载:183/0  |  提交时间:2015/06/11
Adaptive Observation  Tropical Cyclone  Intensity Forecast  Conditional Nonlinear Optimal Perturbation  
Remote effects of tropical cyclone wind forcing over the western Pacific on the eastern equatorial ocean 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 6, 页码: 1507-1525
作者:  Zhang Ronghua;  Pei Yuhua;  Chen Dake
Adobe PDF(2757Kb)  |  收藏  |  浏览/下载:329/0  |  提交时间:2014/08/28
Tropical Cyclone Wind Forcing  Ocean Modeling  Remote Effects  Ocean Pathway  Satellite Data  Nino-southern Oscillation  Mixed-layer Model  Fresh-water Flux  El-nino  North Pacific  Hurricane  Enso  Variability  Simulation  Intensity  
Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 2, 页码: 515-524
作者:  Sun Guodong;  Mu Mu;  Sun, GD
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载:231/0  |  提交时间:2014/07/17
Conditional Nonlinear Optimal Perturbation  Initial Perturbation  Cnop-i  Terrestrial Ecosystem  Land Use  
Role of Western Pacific Oceanic variability in the onset of the Bay of Bengal summer monsoon 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 1, 页码: 219-234
作者:  Feng Junqiao;  Hu Dunxin;  Yu Lejiang;  Feng, JQ
Adobe PDF(3020Kb)  |  收藏  |  浏览/下载:223/0  |  提交时间:2014/07/17
Summer Monsoon Onset  Ocean Heat Content  Warm Pool  Bay Of Bengal  
Summer persistence barrier of sea surface temperature anomalies in the central western north pacific 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 6, 页码: 1159-1173
作者:  Zhao Xia;  Li Jianping;  Zhang Wenjun;  Li, JP (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Natl Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R China.
Adobe PDF(1003Kb)  |  收藏  |  浏览/下载:183/0  |  提交时间:2013/09/24
Sst Anomalies  Persistence Barrier  Oceanic Mixed Layer  Atmospheric Forcing  Positive Cloud Feedback On Sstas