检索结果-南通市图书馆

Sri Lanka seasonal warm pools

在线全文

学校读者我要写书评

暂无评论

Journal of Oceanology and Limnology 2021年第2期39卷 437-446页

作者： Guoqing HAN changming dong Jingsong YANG Yu LIU School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316000China

Sri Lanka seasonal warm pools(SSWPs)with high sea surface temperature(SST)(greater than 29.6℃in summer and greater than 28℃in winter)around the Sri Lanka Island are discovered using 37-year(1982–2018)satellite remote sensing SST *** is identifi ed that during the onset of the summer(winter)monsoon,the maximum SST in the SSWPs can be 1.8℃(0.8℃)higher than the surrounding *** to orographic infl uences,the wind intensity on the leeward side of Sri Lanka is weakened,reducing evaporation and oceanic mixing,and resulting in higher *** analysis of the long-term data shows that SSWPs are related to El Niño-Southern Oscillation(ENSO)*** currents are also found to play important roles in governing the SSWPs intensities through the heat advection.

关键词： Sri Lanka monsoon warm pool

The Forecast Skills and Predictability Sources of Marine Heatwaves in the NUIST-CFS1.0 Hindcasts

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2024年第8期41卷 1589-1600页

作者： Jing MA Haiming XU changming dong Jing-Jia LUO Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/KLME/ILCEC/Institute of Climate and Application Research(ICAR) Nanjing University of Information Science and TechnologyNanjingJiangsu 210044China

Using monthly observations and ensemble hindcasts of the Nanjing University of Information Science and Technology Climate Forecast System(NUIST-CFS1.0) for the period 1983–2020, this study investigates the forecast skill of marine heatwaves(MHWs) over the globe and the predictability sources of the MHWs over the tropical oceans. The MHW forecasts are demonstrated to be skillful on seasonal-annual time scales, particularly in tropical oceans. The forecast skill of the MHWs over the tropical Pacific Ocean(TPO) remains high at lead times of 1–24 months, indicating a forecast better than random chance for up to two years. The forecast skill is subject to the spring predictability barrier of El Nino-Southern Oscillation(ENSO). The forecast skills for the MHWs over the tropical Indian Ocean(TIO), tropical Atlantic Ocean(TAO), and tropical Northwest Pacific(NWP) are lower than that in the TPO. A reliable forecast at lead times of up to two years is shown over the TIO, while a shorter reliable forecast window(less than 17 months) occurs for the TAO and ***, the forecast skills for the TIO, TAO, and NWP are seasonally dependent. Higher skills for the TIO and TAO appear in boreal spring, while a greater skill for the NWP emerges in late summer-early autumn. Further analyses suggest that ENSO serves as a critical source of predictability for MHWs over the TIO and TAO in spring and MHWs over the NWP in summer.

关键词： marine heatwaves NUIST-CFS1.0 hindcasts forecast skill predictability source ENSO

An oceanic eddy statistical comparison using multiple observational data in the Kuroshio Extension region

在线全文

学校读者我要写书评

暂无评论

Acta Oceanologica Sinica 2017年第3期36卷 1-7页

作者： JI Jinlin dong changming ZHANG Biao LIU Yu School of Marine Sciences Nanjing University of Information Science and Technology Nanjing 210044 China Jiangsu Engineering Technology Research Center of Marine Environment Detection Nanjing 210044 China Oceanic Modeling and Observation Laboratory Nanjing University of Information Science and Technology Nanjing 210044 China Department of Atmospheric and Oceanic Sciences University of California Los Angeles 90095 USA

Eddy characteristics derived from different data resources are compared： sea surface temperature（SST）, sea surface height anomaly（SSHA） and surface drifter trajectories. The comparison suggests that the eddy statistical characteristics are different using different variables to delineate eddies, but they show the similar trend. Based on the comparison, abnormal eddies with warm（cold） cores but counter-clockwise（clockwise） rotation are found in the Kuroshio Extension region.

关键词： oceanic eddy eddy characteristics Kuroshio Extension region

Seasonal variation of the global mixed layer depth： comparison between Argo data and FIO-ESM

在线全文

学校读者我要写书评

暂无评论

Frontiers of Earth Science 2018年第1期12卷 24-36页

作者： Yutong ZHANG Haiming XU Fangli QIAO changming dong College of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing 210044 China College of Marine Sciences Nanjing University of Information Science and Technology-Nanjing 210044 China First Institute of Oceanography State Oceanic Administration Qingdao 266061 China

The present study evaluates a simulation of the global ocean mixed layer depth （MLD） using the First Institute of Oceanography-Earth System Model （FIO- ESM）. The seasonal variation of the global MLD from the FIO-ESM simulation is compared to Argo observational data. The Argo data show that the global ocean MLD has a strong seasonal variation with a deep MLD in winter and a shallow MLD in summer, while the spring and fall seasons act as transitional periods. Overall, the FIO-ESM simula- tion accurately captures the seasonal variation in MLD in most areas. It exhibits a better performance during summer and fall than during winter and spring. The simulated MLD in the Southern Hemisphere is much closer to observations than that in the Northern Hemisphere. In general, the simulated MLD over the South Atlantic Ocean matches the observation best among the six areas. Additionally, the model slightly underestimates the MLD in parts of the North Atlantic Ocean, and slightly overestimates the MLD over the other ocean basins.

关键词： mixed layer depth FIO-ESM model seasonalvariation

Eddy analysis in the Eastern China Sea using altimetry data

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Earth Science 2015年第4期9卷 709-721页

作者： Dandi QIN Jianhong WANG Yu LIU changming dong School of Marine Sciences Nanjing University of Information Science & Technology Nanjing 210044 China Institute of Geophysics and Planetary Physics University of California Los Angeles California USA Climate and Weather Disasters Collaborative Innovation Center Nanjing University of Information Science & Technology Nanjing 210044 China

Statistical characteristics of mesoscale eddies in the Eastern China Sea （ECS） are analyzed using altimetry sea surface height anomaly （SSHA） data from 1993 to 2010. A velocity geometry-based automated eddy detection scheme is employed to detect eddies from the SSHA data to generate an eddy data set. About 1,096 eddies （one lifetime of eddies is counted as one eddy） with a lifetime longer than or equal to 4 weeks are identified in this region. The average lifetime and radius of eddies are 7 weeks and 55 km, respectively, and there is no significant difference between cyclonic eddies （CEs） and anticyclonic eddies （AEs） in this respect. Eddies＇ lifetimes are generally longer in deep water than in shallow water. Most eddies propagate northeastward along the Kuroshio （advected by the Kuroshio）, with more CEs generated on its western side and AEs on its eastern side. The variation of the Kuroshio transport is one of the major mechanisms for eddy genesis, however the generation of AEs on the eastern side of the Kuroshio （to the open ocean） is also subject to other factors, such as the wind stress curl due to the presence of the Ryukyu Islands and the disturbance from the open ocean.

关键词： mesoscale eddy Eastern China Sea altimetrydata Kuroshio

Stimuli-responsive dual drugs-conjugated polydopamine nanoparticles for the combination photothermal-cocktail chemotherapy

在线全文

学校读者我要写书评

暂无评论

Chinese Chemical Letters 2021年第1期32卷 561-564页

作者： Lei Zhou Chang Du Rong Zhang changming dong School of Chemistry and Chemical Engineering Shanghai Key Laboratory of Electrical Insulation and Thermal AgingShanghai Jiao Tong UniversityShanghai 200240China Joint Research Center for Precision Medicine Department of Obstetrics and GynecologyShanghai Jiao Tong University Affiliated Sixth People’s Hospital South CampusShanghai Fengxian Central HospitalShanghai 201499China

We developed one-pot aqueous copolymerization of two dopamine prodrugs to prepare dual drugsconjugated polydopamine nanoparticles(PDOXCBs),which integrated near infrared(NIR)-mediated photothermal effect with cocktail chemotherapy into one copolymer *** a mild NIR irradiation(808 nm,1 W/cm^(2),10 min),PDOXCBs gradually heated aqueous solution over 12.8-13.9℃,which accordingly enhanced in vitro dual doxorubicin(DOX) and chlorambucil(CB) drug-release with assistance of the other stimuli of pH 5.0 and 10 mmol/L D,L-dithiothreitol(DTT).The combination photothermal-cocktail chemotherapy(PTT-CCT) treatment based on PDOXCB27 plus NIR irradiation gave a highly lowered half maximal inhibitory concentration(IC_(50)) of 2.23 μg/mL and a combination index of0.36,displaying a superior synergistic effect between PTT and CCT in vitro.

关键词： Near infrared Polymer drug conjugate Cocktail chemotherapy Photothermal therapy Combination therapy

Cross-shelf transport induced by coastal trapped waves along the coast of East China Sea

在线全文

学校读者我要写书评

暂无评论

Journal of Oceanology and Limnology 2018年第3期36卷 630-640页

作者： JIANG Lin dong changming YIN Liping School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China Oceanic Modeling and Observation Laboratory Nanjing University of Information Science and TechnologyNanjing 210044China Department of Atmospheric and Oceanic Sciences University of CaliforniaLos Angeles90095USA First Institute of Oceanography State Oceanic AdministrationQingdao 266001China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China

Cross-shelf transport is important due to its role in the transport of nutrients, larvae, sediments, and pollutants. The role of coastal trapped waves(CTWs) and their contribution to the cross-shelf transport is presently unknown. The impact of wind-driven CTWs on the structure of the cross-shelf currents and transport is investigated in the East China Sea(ECS) starting from theory. The cross-shelf currents are divided into four terms: the geostrophic balance(GB) term, the second-order wave(SOW) term, the bottom friction(BF) term and Ekman(EK) term, as well as three modes: the Kelvin wave(KW) mode, the first shelf wave(SW1) mode and the second shelf wave(SW2) mode. Comparison among these decompositions shows that(1) for the four terms, the effect of the GB and EK terms is continual, while that of the BF term is confi ned to 60–240 km of fshore, and the contribution of the SOW term can be ignored;(2) for the three modes, the KW and SW1 modes are dominant in cross-shelf transport. The results show that the total cross-shelf transport travels onshore under idealized wind stress on the order of 10^(-1), and it increases along the cross-shelf direction and peaks about-0.73 Sv at the continental shelf margin. With the increase of linear bottom friction coeffi cient, the cross-shelf transport declines with distance with the slope becoming more uniform.

关键词： cross-shelf transport coastal trapped waves East China Sea(ECS)

A machine learning approach to quality-control Argo temperature data

在线全文

学校读者我要写书评

暂无评论

Atmospheric and Oceanic Science Letters 2023年第4期16卷 1-7页

作者： Qi Zhang Chenyan Qian changming dong School of Marine Sciences Nanjing University of Information Science and TechnologyNanjingChina Longshan College Nanjing University of Information Science and TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina

本文提出了一种基于机器学习的Argo浮标温度异常值检测方法.该方法采用机器学习无监督算法高斯混合模型对Argo浮标数据进行聚类分析,并构建包围所有数据点的最小多边形的凸包.基于射线投影算法实现点在多边形内分析,通过自动识别数据点... 详细信息

本文提出了一种基于机器学习的Argo浮标温度异常值检测方法.该方法采用机器学习无监督算法高斯混合模型对Argo浮标数据进行聚类分析,并构建包围所有数据点的最小多边形的凸包.基于射线投影算法实现点在多边形内分析,通过自动识别数据点位于凸包内外来判断该数据点数据质量的好坏.本文采用南海区域Argo浮标数据对该方法进行测试,结果表明该方法可以识别70%以上的包含异常值的温度剖面,同时自动标记出各异常值点.

关键词：质量控制机器学习异常值检测高斯混合模型凸包点在多边形内

Submesoscale eddies in the East China Sea detected from SAR images

在线全文

学校读者我要写书评

暂无评论

Acta Oceanologica Sinica 2021年第3期40卷 18-26页

作者： Yuxiang Ji Guangjun Xu changming dong Jingsong Yang Changshui Xia School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China Ocean Remote Sensing and Information Technology Laboratory Guangdong Ocean UniversityZhanjiang 524088China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China Second Institute of Oceanography Ministry of Natural ResourcesHangzhou 310012China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China

Seven-year(2005-2011)Synthetic Aperture Radar(SAR)images are applied to study oceanic eddies in the East China *** is found that most of these eddies detected from the SAR images are less than 10 km,which are submesoscale *** differences are evident in the distribution of eddies,with the highest and the lowest number of eddies noted in summer and winter,*** slick streaks in SAR images look dark,an eddy identified due to the slicks is referred to as“black eddy”.As a result of wave-current interactions in the zones of current shear,it can be seen that an eddy exhibits a bright curve,the eddy is called“white eddy”.During the seven years,95 black eddies and 50 white eddies are identified in the study *** eddies are found in the whole study area while white eddies are mainly distributed in the vicinity of the Kuroshio *** study suggests that the distribution of the white eddy is denser around the Kuroshio because of the strong shear in the Kuroshio *** terms of the eddy sizes,white eddies are generally smaller than black eddies.

关键词： submesoscale ocean eddy Synthetic Aperture Radar East China Sea