1. Introduction
This century saw English becoming a truly global international language, a veritable lingua franca of science and technology. As the total number of English-language journals and papers published in these journals skyrocketed, the relevance of non-English-language publications is sometimes questioned. Yet China and Chinese language are exceptions since there are more scientists in China than in all other countries combined. Therefore, the importance of Chinese-language publications is self-evident. The global community of scientists is keenly interested in accessing results of studies conducted in China and published in Chinese. The need to examine the contribution of Chinese-language papers to our research field provided a strong impetus for this study.
Seas around China feature numerous fronts. These fronts have various structure and physical nature as they are formed and maintained by different physical mechanisms such as tides, wintertime thermal convection, summertime surface heating by solar radiation, water mass convergence, river discharge, coastal wind-driven upwelling, and topographic upwelling. In terms of physical diversity and sheer number of individual fronts, the China Seas (from the Bohai Sea in the north to the South China Sea and Gulf of Thailand in the south) stand out as the world’s richest frontal region. Most fronts in the China Seas persist year-around, being best defined in winter. The fronts affect various aspects of maritime activities of people that populate countries around the China Seas, particularly China. Therefore, Chinese oceanographers and marine biologists traditionally paid attention to oceanic fronts. Over the last few decades, Chinese studies of fronts extended far beyond the China Seas and encompassed the entire World Ocean. These days, the great majority of Chinese studies are published in English-language international journals that are freely available to the international community online and offline. Yet at the same time, numerous studies of significant value are still published in Chinese-language domestic journals. Such journals are not readily available outside China, and many of them are not indexed by either Scopus or Web of Science. The desire to increase the awareness of the international community about various achievements of Chinese researchers, both past and present, was the main incentive for this review.
We limited the scope of this review by observational studies. Well-planned observational studies retain their value for a long time. Moreover, in the context of climate change, older observations of the past physical, chemical and biological conditions in the ocean become even more valuable since historical observational data can serve as a reference point in comparison studies of the present state of the ocean vs. its past state. As the old adage goes, the past is key to the future.
This paper is structured as follows:
Section 2 describes bibliographic data sources, main principles of search strategy, and methodology of this review.
Section 3 presents results of our review chronologically, regionally and thematically; these results are augmented by a selection of most impactful studies.
Section 4 contains a brief discussion of some trends that transpired from this study.
Section 5 sums up a few conclusions.
2. Data and Methods
Main principles of search strategy: First, the search focused on oceanic fronts that play a key role in marine realm. Second, the search focused on observational physical oceanography, including satellite oceanography. Papers on biological oceanography and geological oceanography were included provided they reported observations on physical and biochemical fronts. Papers on air-sea interactions in frontal zones were identified and included in this review. Papers on various applications of frontal studies were sought in such fields as, e.g., fisheries oceanography, aquaculture, environment protection and conservation, and pollution control, prevention, and mitigation. Theoretical and modeling papers on fronts were excluded with a few exceptions. Several papers on acoustical oceanography were identified; all of them reported numerical experiments and therefore were excluded.
Principal bibliographic sources: The China National Knowledge Infrastructure (CNKI) Database was our main bibliographic resource. The CNKI is the largest and most comprehensive database of Chinese papers. To ensure repeatability of our work, we (1) limited our survey to those sources that are freely available online at no charge, (2) provided a DOI or URL for each source; (3) hyperlinked all sources to their respective references. In addition to CNKI, we used Scopus, Web of Science, and Google Scholar.
Systematic review: An attempt was made to meet the following criteria of a systematic review: (1) Clearly defined problem/goal; (2) Unambiguously formulated data selection criteria (data inclusion and exclusion criteria); (3) Search strategy algorithm; (4) Structured analysis of results; (5) Rigorous appraisal of data selected; (6) Adequate, representative, and comprehensive data sources; (7) Objective and unbiased approach to the presentation of results.
Goals, objectives, and search criteria: Our goal was to identify and review Chinese-language studies that present results on (1) spatial distribution and temporal variability of fronts in the World Ocean, (2) three-dimensional structure of these fronts; (3) biological, chemical, and geological manifestations of fronts. The main inclusion-exclusion criteria was the observational nature of studies as opposed to theoretical and modeling studies that hopefully will be reviewed by other scholars. The second most important inclusion-exclusion criteria was the fundamental nature of studies as opposed to various applications of front-oriented studies. The search results are presented chronologically, thematically, and regionally.
Duplicate papers: We did our best to identify and exclude duplicate papers. In the past, it was a common practice among non-native-English-speaking authors to publish first in their mother’s tongue, then publish the same paper in English as a new paper. These days, this practice is considered self-plagiarism, and it is prohibited by most publishers who use anti-plagiarism software to identify duplicate submissions. The strict enforcement of the anti-plagiarism policy by publishers in China and elsewhere has resolved the problem of duplicate publications. During our bibliographic search we only found two cases of duplicate papers, which constitutes about 1% of the total number of papers selected for this review.
Further refinement of bibliographic search: Papers selected for this review were screened for the completeness and accessibility to international readers, including the availability of English-language abstracts and the completeness of bibliographic information, the latter being a fairly standard requirement to any review. Of some 130 papers initially identified by keyword searches, less than 10 papers failed to meet the above requirements. The total number of papers eventually selected for this review is 93. This number is too small to justify a full-scale statistical analysis of results. However, some chronological, thematical, and regional trends became obvious at the analysis stage. These trends are presented in respective sections.
3. Results
Overview: Table 1 presents all studies selected for this review, sorted alphabetically by first authors’ surnames. Thus,
Table 1’s structure is identical to our reference list. However, to comply with the MDPI citation style, the reference list will be reformatted at the production stage, with all references to be numbered and cited by the numbers.
Chronology: Temporal distribution of 93 papers is presented in Table 2, which makes evident a sharp increase of the total number of papers after 2010 that continued unabated though the early 2020s. This clear-cut trend is important. It shows that Chinese researchers expand their publication activity in Chinese in parallel with the well-known global trend of using English as an international language of science and technology.
Table 2.
Temporal distribution of papers from
Table 1.
Table 2.
Temporal distribution of papers from
Table 1.
Years |
1982-1990 |
1991-1995 |
1996-2000 |
2001-2005 |
2006-2010 |
2011-2015 |
2016-2020 |
2021-2023 |
Papers |
7 |
10 |
6 |
9 |
8 |
21 |
24 |
8 |
Regional coverage: The spatial distribution of papers listed in
Table 1 is extremely non-uniform as evidenced by
Table 3. The overwhelming majority of papers is focused on the China Seas, particularly the East China Seas (Bohai, Yellow, and East China Sea, especially the Yangtze River Estuary and Plume) and northern South China Sea. Elsewhere, a significant number of papers are dedicated to the Southern Ocean. Few papers focus on the Atlantic and Indian Oceans. The paucity of papers on the open North Pacific is puzzling given the proximity and importance of this region to China.
Table 3.
Regional distribution of papers from
Table 1.
Table 3.
Regional distribution of papers from
Table 1.
Region |
No. ofpapers |
Global |
8 |
China Seas |
4 |
Bohai Sea |
5 |
Yellow Sea |
17 |
East China Sea |
16 |
Yangtze River Estuary and Plume |
14 |
South China Sea |
3 |
Northern South China Sea |
13 |
Kuroshio |
5 |
Japan Sea |
1 |
Taiwan Strait |
1 |
Northwest Pacific |
1 |
Equatorial Pacific |
1 |
Southern Ocean |
7 |
North Atlantic: GIN Seas |
2 |
North Atlantic: Alboran Sea |
1 |
South Atlantic: Benguela |
1 |
Indian Ocean |
1 |
Indian Ocean: Arabian Sea |
1 |
Thematical coverage: Thematically, papers on remote sensing of ocean fronts dominate (Table 4), with special attention to the development of new advanced front-detection algorithms applied to satellite data on sea surface temperature and chlorophyll.
Table 4.
Main subject areas of papers from
Table 1.
Table 4.
Main subject areas of papers from
Table 1.
Subject |
No. of papers |
Remote sensing: Spatial and temporal variability of fronts |
48 |
Remote sensing: Front detection algorithms |
12 |
Long-term climatology of fronts from in situ and satellite data |
28 |
Descriptive oceanography of fronts from in situ data (ship surveys and sections) |
26 |
River plume fronts |
16 |
Ocean-atmosphere interaction over marine fronts |
2 |
Physical fronts and bioproductivity |
5 |
Physical fronts and their impact on sediment transport and deposition |
8 |
Content analysis: The two tables below sum up the most important results on space-time variability of oceanic fronts (
Table 5) and on front detection algorithms (
Table 6), both from papers in
Table 1.
Table 5.
Principal results on space-time variability of oceanic fronts (from papers in
Table 1).
Table 5.
Principal results on space-time variability of oceanic fronts (from papers in
Table 1).
Source |
Main results |
Cao ZY et al. (2016) |
Ship survey of the East Hainan Upwelling Front in July 2012 |
Chen B et al. (2016) |
Fronts of the Eastern Hainan and Western Guangdong Shelf (18-22°N, 109-113°E) from GHRSST L4 gridded data (2006-2013) with 0.05° resolution |
Chen B et al. (2016) |
Global review of SST fronts; Climatology of China Seas’ SST fronts |
Gao GP et al. (2003) |
CTD/XBT CHINARE sections between Zhongshan Station (Antarctica) and Fremantle (Australia) in 1998, 1999, 2000, 2002; Locations and main characteristics of all major fronts (subtropical, subantarctic, polar, and slope) |
Han YS et al. (2023) |
Long-term (2011-2020) monthly climatology of the Shandong Peninsula Front from MURSST gridded data with 0.01° resolution |
He Y, Zhao JP (2011) |
Long-term (1953-2002) monthly climatology of fronts in GIN Seas from in situ HydroBase 2 gridded data with 0.25° resolution |
Hong Y, Li L (1999) |
Ship survey of fronts in northern SCS, Aug-Sep 1994 |
Hu JY et al. (2000) |
Ship survey of fronts in the Taiwan Strait, August 1998 |
Huang WG et al. (2006) |
Fronts in the Taiwan Strait from AVHRR SST, 1989-2001 |
Li L et al. (2000) |
Review of fronts in southern Taiwan Strait from in situ and remote sensing data |
Liu CY, Wang F (2009) |
Long-term (1985-2002) seasonal climatology of the Yellow Sea SST fronts from AVHRR Pathfinder monthly and 8-day data |
Liu DY et al. (2022) |
Review of shelf fronts in the China Seas |
Liu JB, Zhang YG (2015) |
Long-term (1955-2012) seasonal climatology of the Antarctic Polar Front from WOD13 gridded in situ data with 0.25° resolution |
Liu JB, Zhang YG (2015) |
Long-term (1955-2012) seasonal climatology of tropical fronts (along 5°S and 15°S) in the South Indian Ocean from WOD13 gridded in situ data with 0.25° resolution |
Liu JB, Zhang YG (2016) |
Long-term (1955-2012) seasonal climatology of temperature and salinity fronts in the Denmark Strait from WOD13 gridded in situ data with 0.25° resolution |
Liu P et al. (2017) |
Long-term (1955-2012) seasonal climatology of the Arabian Sea Upwelling Front from WOD13 gridded in situ temperature data with 0.25° resolution |
Liu P et al. (2018) |
Long-term seasonal climatology of temperature fronts in the Equatorial Pacific from WOD13 gridded in situ data |
Pu SZ et al. (1994) |
Review of circumpolar fronts in the Drake Passage |
Qiu CH et al. (2017) |
Seasonal variability of the Guangdong coastal thermal front from daily GHRSST L4 gridded data with 0.05° (~5 km) resolution |
Qu J et al. (2016) |
Long-term (1955-2012) seasonal variability of the Subantarctic Front from WOD13 gridded in situ data with 0.25° resolution |
Ren SH et al. (2015) |
Review of fronts in the China Seas |
Tang YX (1996) |
Seasonal variability of temperature fronts in the ECS from historical in situ data (1934-1988) |
Wang YZ et al. (2013) |
Shandong Peninsula Front: Seasonal variability and its impact on sediment transport and deposition |
Wei QS et al. (2011) |
Biochemical and physical fronts of western Yellow Sea from CTD ship survey in summer 2006 |
Wu J et al. (2016) |
Suspended sediment fronts in the Yellow and East China Seas from GOCI satellite data in 2012-2013 |
XU JJ et al. (2021) |
Physical and biochemical fronts of the Yangtze River Estuary and freshwater discharge region in summer 2019 |
Xu MM et al. (2012) |
Atmospheric response to an SST front in the ECS |
Xu SQ et al. (2015) |
Thermal fronts of the China Seas: Review and monthly statistics of SST fronts from OSTIA data (2006-2012) |
Yang CH et al. (2017) |
CTD survey of the East Hainan Upwelling Front in July 2012 |
Yang TL et al. (2021) |
Fronts of the Japan Sea from SODA reanalysis, 1980-2015 |
Yang W et al. (2020) |
Southern Ocean fronts in the Southwest Pacific from XCTD sections in 2013-2018 and MODIS SST data |
Yang Y, Pang CG (2012) |
Suspended sediment fronts in the East China Seas and Taiwan Strait from SeaWiFS data, 1998-2002 |
Yu J et al. (2020) |
Long-term monthly climatology of SST fronts in the northern SCS in 2003-2017 |
Yuan P et al. (2019) |
HYCOM-derived temperature and salinity fronts in the East China Seas and their impact on sediment transport and deposition |
Zeng YG et al. (2022) |
East Guangdong Shelf Front in summer from CTD surveys and ROMS simulation |
Zhang BH et al. (2011) |
Seasonal variability of temperature and salinity fronts in the SCS from the SODA reanalysis, 1958-2007 |
Zhao BH et al. (2012) |
Interannual variability of salinity fronts in the SCS from the SODA reanalysis, 1958-2007 |
Zhao BR (1985) |
Vertical structure of tidal mixing fronts in the Yellow Sea |
4. Discussion
Several trends transpire upon a close inspection of
Table 1 through 6. Thematically, papers on remote sensing of fronts dominate. Numerous studies on SST fronts in the Bohai, Yellow, East China and northern South China Seas were published. Most of these studies are based on widely available Pathfinder AVHRR data, MODIS Aqua data, and OSTIA GHRSST multi-sensor data. At the same time, SST data from other satellite missions are under-utilized, e.g., VIIRS and Sentinel. There are very few studies of chlorophyll fronts using ocean color data that are generally as easily available as SST data. Also, satellite altimetry data on sea surface height (SSH) are barely utilized. Regionally, the overwhelming majority of studies are focused on the China Seas, which is fully justified. However, the paucity of studies centered on the open Northwest Pacific is difficult to explain and hard to justify given the proximity and importance of this region to China. Despite the proliferation of remote sensing studies of ocean fronts and availability of advanced front detection algorithms, the repertoire of various algorithms used by most researchers is very limited. Most researchers resort to rather simple gradient methods that have been traditionally used since the advent of satellite era. Fortunately, the development and improvement of front detection algorithms is gaining speed, which is commendable. However, the current lack of rigorous comparison and validation studies of such algorithms is notable. As ocean front detection becomes a mature field, algorithm comparison, testing, and validation studies should be promoted. In situ data have been traditionally used in conjunction with satellite data. The widespread use of WOD13 (World Ocean Database 2013) published by the National Oceanographic Data Center (NODC/NOAA) had a positive impact, especially when such data were analyzed together with concurrent and collocated satellite data. The latest major release of this data base is World Ocean Database 2018 (WOD18), which includes 16 mln oceanographic casts (
https://www.ncei.noaa.gov/products/world-ocean-database). The next release is expected in 2023.
5. Conclusions
This review demonstrated that the body of knowledge contained in Chinese-language publications on descriptive physical oceanography of marine fronts is a valuable addition to papers published in international English-language journals. While our review only covered the last 40+ years (1982-2023), there is no doubt that valuable contributions to this field were made by Chinese oceanographers long before the 1980s and published in Chinese journals that are not yet digitized, hence not easily accessible, especially to international readers worldwide. Any efforts should be encouraged to digitize and make available those legacy contributions to the present-day researchers, teachers, and society at large.
Author Contributions
Conceptualization, I.M.B. and X.T.S.; Methodology, I.M.B. and X.T.S.; Data Procurement and Curation: X.T.S.; Writing–original draft, I.M.B.; Writing–review & editing, X.T.S. and I.M.B.; Supervision, I.M.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Zhejiang Ocean University.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
I.B. was supported by the Zhejiang Ocean University.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Observational studies of oceanic fronts published in Chinese-language journals. Acronyms: BS, Bohai Sea; YS, Yellow Sea (Huanghai); ECS, East China Sea; SCS, South China Sea; NSCS, Northern SCS; GIN Seas, Greenland-Iceland-Norwegian Seas; SOC, Southern Ocean; ROFI, Region of Freshwater Influence; TS, Taiwan Strait.
Table 1.
Observational studies of oceanic fronts published in Chinese-language journals. Acronyms: BS, Bohai Sea; YS, Yellow Sea (Huanghai); ECS, East China Sea; SCS, South China Sea; NSCS, Northern SCS; GIN Seas, Greenland-Iceland-Norwegian Seas; SOC, Southern Ocean; ROFI, Region of Freshwater Influence; TS, Taiwan Strait.
First Author |
Year |
Region |
Subject; Data; Comments |
BAO Dao-Yang |
2017 |
Yangtze ROFI |
Salinity intrusion and river discharge |
CAO Pei-Kui |
1996 |
Yangtze ROFI |
Suspended particle front and sediment transport |
CAO Zhi-Yong |
2016 |
NSCS |
East Hainan Upwelling Front |
CHEN Biao |
2002 |
Global |
Front detection from spaceborne SAR images |
CHEN Biao |
2016 |
NSCS |
SST fronts east of Hainan and south of Guangdong |
CHEN Biao |
2018 |
Global |
SST fronts |
CHEN Shen-Liang |
2001 |
Yangtze ROFI |
Barrier effect of plume front |
DANG Zhen-Zhong |
2016 |
ECS |
Kuroshio temperature front from in situ data |
GAO Guo-Ping |
2003 |
SOC |
Fronts along Australia-Antarctic sections |
GUO Bing-Huo |
1995 |
ECS |
Wavelike frontal features and their kinematics |
HAN Yan-Song |
2023 |
YS, ECS |
Shandong Peninsula front; Sedimentation |
HE Yan |
2011 |
GIN Seas |
Distributions and seasonal variations of fronts |
HONG Ying |
1999 |
NSCS |
Summertime shelf-slope front in Taiwan Strait |
HU Fang-Xi |
1995 |
Yangtze ROFI |
Salinity fronts in the Changjiang River estuary |
HU Jian-Yu |
2000 |
Taiwan Strait |
Surface waters in Taiwan Strait in August 1998 |
HUANG Wei-Gen |
2006 |
ECS, NSCS |
Thermal fronts in Taiwan Strait |
KUANG Cui-Ping |
2022 |
Yangtze ROFI |
Salinity front’s response to the Yangtze discharge |
LI An-Zhou |
2017 |
Global |
Front detection |
LI Ting-Ting |
2018 |
Global |
Front detection from SAR images |
LI Li |
2000 |
NSCS |
Southern Taiwan Strait |
LI Wei |
2011a |
Off Taiwan |
Kuroshio front east of Taiwan |
LI Wei |
2011b |
Off Taiwan |
Kuroshio front east of Taiwan |
LI Yu-Yang |
2007 |
Kuroshio |
Detection of Kuroshio front |
LIN Chuan-Lan |
1986 |
ECS |
Kuroshio Front and fisheries |
LIU Bao-Yin |
1982 |
ECS |
Kuroshio SST fronts |
LIU Chuan-Yu |
2009 |
Yellow Sea |
SST fronts |
LIU Dong-Yan |
2022 |
China Seas |
Review of shelf fronts and their ecological effects |
LIU Feng-Yue |
1989 |
Yellow Sea |
Yellow River (Huanghe) plume front |
LIU Jian-Bin |
2015 |
SOC |
Seasonal variability of the Antarctic Polar Front |
LIU Jian-Bin |
2015 |
Ind. Ocean |
Spatial and temporal variations of SST fronts |
LIU Jian-Bin |
2016 |
Alboran Sea |
Alboran Sea front |
LIU Jian-Bin |
2016 |
Benguela |
Benguela Upwelling front |
LIU Jian-Bin |
2016 |
GIN Seas |
Denmark Strait Front |
LIU Lin |
2012 |
SOC |
Ocean-atmosphere interaction over ocean fronts |
LIU Hao |
2007 |
Bohai Sea |
Stratification and tidal fronts (numerical simulation) |
LIU Peng |
2017 |
Arabian Sea |
Upwelling fronts |
LIU Peng |
2018 |
Equat. Pacific |
Space-time variability of fronts |
LIU Xing-Quan |
2015 |
Yangtze ROFI |
Circulation and temperature structure |
LU Xiao-Ting |
2013 |
China Seas |
Feature models |
LUO Lin |
2003 |
NSCS |
Thermal fronts in Beibu Gulf |
MAO Zhi-Chang |
1995 |
Yangtze ROFI |
Salinity fronts |
NING Xiu-Ren |
2004 |
Yangtze ROFI |
Hangzhou Bay bioproductivity front |
PING Bo |
2013 |
Kuroshio |
Front detection (new method) |
PING Bo |
2014 |
Bohai Sea |
Front detection using BJ-1 satellite data |
PU Shu-Zhen |
1994 |
SOC |
Drake Passage |
QIU Chun-Hua |
2017 |
NSCS |
Guangdong coastal thermal front |
QU Jie |
2016 |
SOC |
Seasonal variability of the Sub-Antarctic Front |
QU Xiang-Yu |
2020 |
Global |
Front tracking algorithm for AUVs |
REN Shi-He |
2015 |
China Seas |
Review of fronts and frontal forecasting |
SHI Zhong |
2002 |
Yangtze ROFI |
Secondary plume front |
SHI Ying-Ni |
2018 |
ECS |
Kuroshio front detection from ocean color data |
SUN Gen-Yun |
2012 |
BS, YS, ECS |
Front detection in the East China Seas from SST |
SUN Xiang-Ping |
1992 |
Kuroshio |
Thermal fronts on the Kuroshio’s inner (left) side |
TANG Yu-Xiang |
1992 |
ECS |
Kuroshio front |
TANG Yu-Xiang |
1996 |
ECS |
Distribution and seasonal variability of SST fronts |
WANG Yong-Zhi |
2013 |
YS, ECS |
Shandong Peninsula front and suspended sediments |
WEI Hao |
1993 |
Yellow Sea |
Tidal-mixing fronts in the southern Yellow Sea |
WEI Qin-Sheng |
2010 |
Yellow Sea |
Fronts and their ecological effects |
WU Jie |
2016 |
Yangtze ROFI |
Suspended sediment fronts from GOCI data |
WU Qu-Ran |
2015 |
Global |
Front detection: Improvement and validation |
WU Yun-Long |
2022 |
Yangtze ROFI |
Salinity fronts in dry season |
XU Jia-Jing |
2021 |
Yangtze ROFI |
Chlorophyll-a and plume front, summer 2019 |
XU Su-Qin |
2015 |
China Seas |
Space-time variability of SST fronts |
XU Mi-Mi |
2012 |
ECS |
Ocean-to-atmosphere forcing over SST front |
XUE Cun-Jin |
2007 |
Global |
Front detection using wavelet analysis |
YANG Chun-Hua |
2017 |
NSCS |
East Hainan Upwelling Front in summer |
YANG Hai-Jun |
1998 |
SCS |
Seasonal variability of thermal fronts |
YANG Ting-Long |
2021 |
Japan Sea |
Space-time variability of SST fronts |
YANG Wei |
2020 |
SOC |
Front locations in the Southwest Pacific |
YANG Yang |
2012 |
YS, ECS |
Suspended sediment sub-front |
YING Zhi-Fu |
1994 |
NSCS |
Zhujiang River Estuary front and sedimentation |
YU Jie |
2020 |
NSCS |
SST fronts |
YUAN Ping |
2019 |
BS, YS, ECS |
Fronts and sediment transport and deposition |
ZANG Zheng-Chen |
2015 |
Yellow Sea |
Fronts and sediment transport and deposition |
ZENG Yi-Gang |
2022 |
NSCS |
East Guangdong Shelf Front in summer |
ZHANG Ran |
2016 |
ECS |
Seasonal variability of SST fronts |
ZHANG Wei |
2014 |
Global |
Front detection (new method) |
ZHAO Bao-Hong |
2012 |
SCS |
Inter-annual variability of salinity front |
ZHAO Bao-Ren |
1985 |
Yellow Sea |
Tidal mixing fronts of the Huanghai cold water mass |
ZHAO Bao-Ren |
1987a |
Yellow Sea |
Fronts and the Huanghai cold water mass |
ZHAO Bao-Ren |
1987b |
Yellow Sea |
Tidal mixing fronts of the Huanghai Sea |
ZHAO Bao-Ren |
1992 |
Yellow Sea |
Tidal mixing front along the 34°N section |
ZHAO Bao-Ren |
1993 |
Yellow Sea |
Shallow water front off the Subei Shoal |
ZHAO Bao-Ren |
2001 |
Bohai Sea |
Tidal mixing fronts |
ZHAO Ning |
2016 |
NW Pacific |
Temperature fronts: Frontogenesis and frontolysis |
ZHENG Yan-Ming |
2009 |
Yangtze ROFI |
Salinity plume front in summer-autumn 2004 |
ZHENG Shu |
2017 |
NSCS |
Pearl River Estuary front, river discharge and wind |
ZHENG Yi-Fang |
1985 |
YS, ECS |
Spatial distribution of fronts |
ZHOU Feng |
2008 |
Yellow Sea |
Tidal mixing fronts in the Huanghai Sea |
ZHOU Run-Jie |
2022 |
SOC |
Statistical characteristics of major fronts |
ZHU Jian-Rong |
2003 |
Yangtze ROFI |
Plume front, August 2000; Yangtze Shoal ship survey |
ZHU Feng-Qin |
2014 |
SCS |
Space-time variability of SST fronts |
ZHUANG Wei |
2003 |
NSCS |
Surface T and S in July-August 2000 |
|
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