中国科学院机构知识库网格系统: 检索

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	Evolution of 3-D chlorophyll in the northwestern Pacific Ocean using a Gaussian-activation deep neural network model 期刊论文 OAI收割 FRONTIERS IN MARINE SCIENCE, 2024, 卷号: 11, 页码: 17 作者: Zhao, Xianzhi; Gong, Xiang; Gong, Xun; Liu, Jiyao; Wang, Guoju \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/08/29 deep neural network Gaussian activation 3-D chlorophyll structure subsurface chlorophyll maximum long-term trend
	Phytoplankton carbon biomass: Insights from the eastern Indian Ocean 期刊论文 OAI收割 DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 202, 页码: 13 作者: Guo, Shujin; Wang, Feng; Liang, Junhua; Zhang, Kangning; Sun, Xiaoxia \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2024/04/07 Phytoplankton carbon Physic-chemical parameters Picophytoplankton Utermo center dot hl phytoplankton Chl a ratio Deep chlorophyll maximum Eastern Indian Ocean
	Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach CNKI期刊论文 OAI收割 2020 作者: GAO Yongli; MU Mu; ZHANG Kun \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/12/18 deep chlorophyll maximum(DCM) simulation parameter uncertainty conditional nonlinear optimal perturbation related to parameters(CNOP-P) sensitivity
	Regulation of protist grazing on bacterioplankton by hydrological conditions in coastal waters 期刊论文 OAI收割 ESTUARINE COASTAL AND SHELF SCIENCE, 2019, 卷号: 218, 页码: 1, 8 作者: Xu, Dapeng; Li, Xiangfu; Xu, Jie; Li, Qian; Shi, Zhen \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2019/09/09 Protist grazing Bacterioplankton Front Deep chlorophyll maximum layer Density gradient The northern south China sea
	A new application of conditional nonlinear optimal perturbation approach to boundary condition uncertainty 期刊论文 OAI收割 JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2015, 卷号: 120, 期号: 12, 页码: 7979-7996 作者: Wang, Qiang; Mu, Mu 收藏 \| 浏览/下载：16/0 \| 提交时间：2016/05/03 conditional nonlinear optimal perturbation uncertainties boundary condition deep chlorophyll maximum