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Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:  Gao Yongli;  Mu Mu;  Zhang Kun
Adobe PDF(1297Kb)  |  收藏  |  浏览/下载:130/0  |  提交时间:2020/09/25
deep chlorophyll maximum (DCM) simulation  parameter uncertainty  conditional nonlinear optimal perturbation related to parameters (CNOP-P)  sensitivity  
Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 5, 页码: 866-875
作者:  Zhang Kun;  Mu Mu;  Wang Qiang
Adobe PDF(1350Kb)  |  收藏  |  浏览/下载:231/0  |  提交时间:2017/09/29
Sensitive Area  Adaptive Observation  The Upstream Kuroshio Transport  Conditional Nonlinear Optimal Perturbation (Cnop)