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Parameter calibration of discrete element simulation for the interaction between heavy soil and soil-engaging components in shellfish culture 期刊论文
CANADIAN JOURNAL OF SOIL SCIENCE, 2023, 页码: 16
作者:  Huang, Bing;  Pan, Hong;  Wang, Xiao-Meng;  Li, Yong-Ren;  Zhang, Tao;  Li, Shi-De;  Jiang, Yong-Cheng;  Wang, Fan-Zhen
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：117/0  |  提交时间：2024/04/07
soil model  moisture content  accumulation angle test  EDEM discrete element model  simulation parameters  slope test  
Effects of oligo-porphyran on immunological parameters related to immunoregulation and growth in RAW264.7 macrophages and zebrafish model 期刊论文
AQUACULTURE INTERNATIONAL, 2022, 页码: 17
作者:  Wang, Xiaoqing;  Wei, Maosheng;  Wang, Jing;  Liu, Jing;  Zhang, Quanbin
Adobe PDF(4064Kb)  |  收藏  |  浏览/下载：221/0  |  提交时间：2023/01/04
Oligo-porphyran  Immunological parameters  RAW264  7 macrophages  Zebrafish model  
Model parameter-related optimal perturbations and their contributions to El Nino prediction errors 期刊论文
CLIMATE DYNAMICS, 2019, 卷号: 52, 期号: 3-4, 页码: 1425-1441
作者:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(6712Kb)  |  收藏  |  浏览/下载：266/0  |  提交时间：2019/05/15
Intermediate coupled model  CNOP approach  Model parameters  El Nino predictability  
Application of the Conditional Nonlinear Optimal Perturbation Method to the Predictability Study of the Kuroshio Large Meander CNKI期刊论文
2012
作者:  Wang Q(王强);  Mu M(穆穆);  Henk A.DIJKSTRA
收藏  |  浏览/下载：2/0  |  提交时间：2024/12/18
conditional nonlinear optimal perturbation,Kuroshio large meander,predictability,model parameters  
Application of the conditional nonlinear optimal perturbation method to the predictability study of the Kuroshio large meander 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 1, 页码: 118-134
作者:  Wang Qiang;  Mu Mu;  Dijkstra, Henk A.;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China.
Adobe PDF(1434Kb)  |  收藏  |  浏览/下载：206/0  |  提交时间：2013/09/24
Conditional Nonlinear Optimal Perturbation  Kuroshio Large Meander  Predictability  Model Parameters