中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共17条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
The first complete mitogenome of Acharax sp. (Protobranchia, Solemyida, Solemyidae): comparisons with other Solemyidae bivalves and deep-sea adaptive characteristics 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2023, 卷号: 41, 期号: 6, 页码: 2374-2390
作者:  Yang, Mei;  Sui, Jixing;  Li, Xinzheng
Adobe PDF(7383Kb)  |  收藏  |  浏览/下载：7/0  |  提交时间：2024/04/07
Solemyidae  Acharax  mitogenome  deep sea  adaptation  phylogeny  
Heritability estimations of ammonia tolerance and survival of ridgetail white prawn Exopalaemon carinicauda 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 7
作者:  Lu, Ding;  Zhang, Chengsong;  Yu, Yang;  Xiang, Jianhai;  Li, Fuhua
Adobe PDF(287Kb)  |  收藏  |  浏览/下载：130/0  |  提交时间：2022/07/15
heritability  Exopalaemon carinicauda  tolerance to ammonia  survival rate  
Effect of subsea dispersant application on deepwater oil spill in the South China Sea 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 19
作者:  Chen, Haibo
Adobe PDF(3020Kb)  |  收藏  |  浏览/下载：151/0  |  提交时间：2022/04/12
underwater oil spill  numerical simulation  chemical dispersants  South China Sea  contingency planning  
Deviation of the Lagrangian particle tracing method in the evaluation of the Southern Hemisphere annual subduction rate 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 16
作者:  Liu, Kai;  Gao, Shan;  Wang, Fan
Adobe PDF(2060Kb)  |  收藏  |  浏览/下载：135/0  |  提交时间：2022/04/12
subduction rate  Lagrangian particle tracing method  mixed layer  tropical water  eastern subtropical mode water  
The adjoint-based Two Oceans One Sea State Estimate (TOOSSE) 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 21
作者:  Wang, Xiaowei;  Liu, Chuanyu;  Koehl, Armin;  Geng, Wu;  Wang, Fan;  Stammer, Detlef
Adobe PDF(7219Kb)  |  收藏  |  浏览/下载：225/0  |  提交时间：2021/11/30
Pacific Ocean  Indian Ocean  South China Sea  adjoint  four-dimensional variational data assimilation  
Distinct root system acclimation patterns of seagrass Zostera japonica in sediments of different trophic status: a research by X-ray computed tomography 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 14
作者:  Song, Xiaoyue;  Zhou, Yi;  Zeng, Jiangning;  Shou, Lu;  Zhang, Xiaomei;  Yue, Shidong;  Gao, Wei;  Feng, Weihua;  Wang, Zhifu;  Du, Ping
Adobe PDF(3051Kb)  |  收藏  |  浏览/下载：252/0  |  提交时间：2021/09/16
Zostera japonica  root system  acclimation pattern  sediment  trophic status  X-ray computed tomography  
The development of a new real-time subsurface mooring 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:  Wang, Fan;  Wang, Jianing;  Xu, Lijun;  Zhang, Xiangguang;  Yan, Shefeng;  Chen, Yonghua
Adobe PDF(8237Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2020/09/25
real-time subsurface mooring  underwater acoustic communication  Western Pacific  ocean and climate predictions  
Instability in boundary layer between the North Equatorial Current and underlying zonal jets based on mooring observations 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 14
作者:  Wang Fujun;  Feng Junqiao;  Wang Qingye;  Zhang Linlin;  Hu Shijian;  Hu Dunxin
Adobe PDF(5023Kb)  |  收藏  |  浏览/下载：148/0  |  提交时间：2020/09/25
instability  North Equatorial Current (NEC)  zonal jets  
Arctic multiyear sea ice variability observed from satellites: a review 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 卷号: 38, 期号: 4, 页码: 962-984
作者:  Bi Haibo;  Liang Yu;  Wang Yunhe;  Liang Xi;  Zhang Zehua;  Du Tingqin;  Yu Qinglong;  Huang Jue;  Kong Mei;  Huang Haijun
Adobe PDF(5213Kb)  |  收藏  |  浏览/下载：215/0  |  提交时间：2020/09/25
multiyear sea ice  Arctic Ocean  satellite observation  
A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 卷号: 38, 期号: 4, 页码: 930-961
作者:  Zhang Rong-Hua;  Yu Yongqiang;  Song Zhenya;  Ren Hong-Li;  Tang Youmin;  Qiao Fangli;  Wu Tongwen;  Gao Chuan;  Hu Junye;  Tian Feng;  Zhu Yuchao;  Chen Lin;  Liu Hailong;  Lin Pengfei;  Wu Fanghua;  Wang Lin
Adobe PDF(3839Kb)  |  收藏  |  浏览/下载：178/0  |  提交时间：2020/09/25
El Nino-Southern Oscillation (ENSO)  coupled ocean-atmosphere models  simulations and predictions  model biases and uncertainties