Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds

Lei ZHU; Jing ZHANG; Changcen SHI; Wei YANG; Haiyan ZHANG; Yucheng WANG; Guangliang LIU; Changwei BIAN; Liang ZHAO

doi:10.1007/s00343-025-4018-3

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Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds

Ecology | Updated：2025-10-16

- Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds
- Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds
- 海洋湖沼学报(英文) 2025年43卷第5期页码：1441-1461
- Affiliations：
  
  1.College of Marine and Environmental Science, Tianjin University of Science and Technology, Tianjin 300457, China
  2.Key Laboratory of Marine Resource Chemistry and Food Technology (TUST), Ministry of Education, Tianjin 300457, China
  3.Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
  4.Laoshan Laboratory, Qingdao 266100, China
  5.Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250013, China
  6.Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan 250101, China
  7.Frontiers Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China
  8.Key Laboratory of Ocean Observation and Information of Hainan Province, Sanya 572025, China
- Author bio：
  
  zhangjing@tust.edu.cn
  ycwang@qnlm.ac
- Funds：
  
  the National Natural Science Foundation of China(42006018;42276009;42376199);the Open Fund Project of the Key Laboratory of Ocean Observation and Information of Hainan Province(HKLOOI-OF-2023-03);the Tianjin Natural Science Foundation(21JCYBJC00500;21JCQNJC00590)
- DOI：10.1007/s00343-025-4018-3
  中图分类号：
- 收稿：2024-01-23，
  
  录用：2024-03-19，
  
  网络首发：2024-12-16，
  
  纸质出版：2025-09-01
- Accepted：
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Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds[J]. 海洋湖沼学报(英文), 2025,43(5):1441-1461.

ZHU Lei,ZHANG Jing,SHI Changcen,et al.Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds[J].Journal of Oceanology and Limnology,2025,43(05):1441-1461.
Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds[J]. 海洋湖沼学报(英文), 2025,43(5):1441-1461. DOI： 10.1007/s00343-025-4018-3.

ZHU Lei,ZHANG Jing,SHI Changcen,et al.Response of the Yellow and East China seas low-trophic ecosystems to two typhoons at different translational speeds[J].Journal of Oceanology and Limnology,2025,43(05):1441-1461. DOI： 10.1007/s00343-025-4018-3.

摘要

Abstract

Frequent typhoons can significantly change the temperature

nutrient availability

and phytoplankton biomass in marginal seas. The oceanic response to typhoons is usually influenced by the features of the typhoon

among which the translational speed is critically important. By using a high-resolution coupled physical-biological model

we investigated the response of the Yellow and East China seas (YECS) to two typhoons at different translational speeds

Muifa in August 2011 and Bolaven in August 2012. The model well reproduced the spatial and temporal variations of temperature

chlorophyll-

concentration over the YECS. Results show that typhoons with slower translational speeds uplift more deep water

leading to a more significant oceanic response. Divergence and convergence caused nutrient fluxes in opposite directions in the surface and bottom layers. Moreover

the nutrient flux in the bottom layer was greater than that in the surface layer. These phenomena are closely related to the spatial distribution of nutrients. Further studies show that the degree of ocean response to typhoons is highly correlated with the initial conditions of physical and biological elements of the upper ocean before the typhoon

as well as with

ocean structure. Pretyphoon initial conditions of oceanic physical and ecological elements

mixed layer depth

and potential energy anomalies can all alter the degree of typhoon-induced oceanic response. This study emphasizes the important roles of the translational speed of typhoons and the initial oceanic conditions in the oceanic response to typhoons.

关键词

Keywords

references

Babin S M , Carton J A , Dickey T D et al . 2004 . Satellite evidence of hurricane-induced phytoplankton blooms in an oceanic desert . Journal of Geophysical Research: Oceans , 109 ( C3 ): C 03043 , https://doi.org/10.1029/2003JC001938 https://doi.org/10.1029/2003JC001938 .

Behrenfeld M J , Falkowski P G . 1997 . Photosynthetic rates derived from satellite-based chlorophyll concentration . Limnology and Oceanography , 42 ( 1 ): 1 - 20 , https://doi.org/10.4319/lo.1997.42.1.0001 https://doi.org/10.4319/lo.1997.42.1.0001 .

Bian C W , Jiang W S , Quan Q et al . 2013 . Distributions of suspended sediment concentration in the Yellow Sea and the East China Sea based on field surveys during the four seasons of 2011 . Journal of Marine Systems , 121 - 122 : 24 - 35 , https://doi.org/10.1016/j.jmarsys.2013.03.013 https://doi.org/10.1016/j.jmarsys.2013.03.013 .

Chai F , Dugdale R C , Peng T H et al . 2002 . One-dimensional ecosystem model of the equatorial Pacific upwelling system. Part I: model development and silicon and nitrogen cycle . Deep Sea Research Part II: Topical Studies in Oceanography , 49 ( 13-14 ): 2713 - 2745 , https://doi.org/10.1016/S0967-0645(02)00055-3 https://doi.org/10.1016/S0967-0645(02)00055-3 .

Chai F , Jiang M S , Barber R T et al . 2003 . Interdecadal variation of the Transition Zone Chlorophyll Front: a physical-biological model simulation between 1960 and 1990 . Journal of Oceanography , 59 ( 4 ): 461 - 475 , https://doi.org/10.1023/A:1025540632491 https://doi.org/10.1023/A:1025540632491 .

Chai F , Jiang M S , Chao Y et al . 2007 . Modeling responses of diatom productivity and biogenic silica export to iron enrichment in the equatorial Pacific Ocean . Global Biogeochemical Cycles , 21 ( 3 ): GB 3 S 90 , https://doi.org/10.1029/2006GB002804 https://doi.org/10.1029/2006GB002804 .

Chai F , Wang Y T , Xing X G et al . 2021 . A limited effect of sub-tropical typhoons on phytoplankton dynamics . Biogeosciences , 18 ( 3 ): 849 - 859 , https://doi.org/10.5194/bg-18-849-2021 https://doi.org/10.5194/bg-18-849-2021 .

Chang Y , Chan J W , Huang Y C A et al . 2014 . Typhoon-enhanced upwelling and its influence on fishing activities in the southern East China Sea . International Journal of Remote Sensing , 35 ( 17 ): 6561 - 6572 , https://doi.org/10.1080/01431161.2014.958248 https://doi.org/10.1080/01431161.2014.958248 .

Chang Y , Liao H T , Lee M A et al . 2008 . Multisatellite observation on upwelling after the passage of Typhoon Hai-Tang in the southern East China Sea . Geophysical Research Letters , 35 ( 3 ): L 03612 , https://doi.org/10.1029/2007GL032858 https://doi.org/10.1029/2007GL032858 .

Chen C T A . 2009 . Chemical and physical fronts in the Bohai, Yellow and East China seas . Journal of Marine Systems , 78 ( 3 ): 394 - 410 , https://doi.org/10.1016/j.jmarsys.2008.11.016 https://doi.org/10.1016/j.jmarsys.2008.11.016 .

Chen D , He L , Liu F et al . 2017 . Effects of typhoon events on chlorophyll and carbon fixation in different regions of the East China Sea . Estuarine, Coastal and Shelf Science , 194 : 229 - 239 , https://doi.org/10.1016/j.ecss.2017.06.026 https://doi.org/10.1016/j.ecss.2017.06.026 .

Chen J , Cui T W , Ishizaka J et al . 2014 . A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: exemplifying the applicability of the model to the coastal regions in Eastern China Seas . Remote Sensing of Environment , 148 : 168 - 177 , https://doi.org/10.1016/j.rse.2014.02.019 https://doi.org/10.1016/j.rse.2014.02.019 .

Chen Y Q , Tang D L . 2012 . Eddy-feature phytoplankton bloom induced by a tropical cyclone in the South China Sea . International Journal of Remote Sensing , 33 ( 23 ): 7444 - 7457 , https://doi.org/10.1080/01431161.2012.685976 https://doi.org/10.1080/01431161.2012.685976 .

Chen Y , Pan G , Mortimer R et al . 2022 . Possible mechanism of phytoplankton blooms at the sea surface after tropical cyclones . Remote Sensing , 14 ( 24 ): 6207 , https://doi.org/10.3390/rs14246207 https://doi.org/10.3390/rs14246207 .

Chiang T L , Wu C R , Oey L Y . 2011 . Typhoon Kai-Tak: an ocean's perfect storm . Journal of Physical Oceanography , 41 ( 1 ): 221 - 233 , https://doi.org/10.1175/2010JPO4518.1 https://doi.org/10.1175/2010JPO4518.1 .

Donelan M A , Haus B K , Reul N et al . 2004 . On the limiting aerodynamic roughness of the ocean in very strong winds . Geophysical Research Letters , 31 ( 18 ): L 18306 , https://doi.org/10.1029/2004GL019460 https://doi.org/10.1029/2004GL019460 .

Emanuel K , DesAutels C , Holloway C et al . 2004 . Environmental control of tropical cyclone intensity . Journal of the Atmospheric Sciences , 61 ( 7 ): 843 - 858 , https://doi.org/10.1175/1520-0469(2004)0610843:ECOTCI2.0.CO;2 https://doi.org/10.1175/1520-0469(2004)0610843:ECOTCI2.0.CO;2 .

Glenn S M , Miles T N , Seroka G N et al . 2016 . Stratified coastal ocean interactions with tropical cyclones . Nature Communications , 7 ( 1 ): 10887 , https://doi.org/10.1038/ncomms10887 https://doi.org/10.1038/ncomms10887 .

Haidvogel D B , Arango H , Budgell W P et al . 2008 . Ocean forecasting in terrain-following coordinates: formulation and skill assessment of the Regional Ocean Modeling System . Journal of Computational Physics , 227 ( 7 ): 3595 - 3624 , https://doi.org/10.1016/j.jcp.2007.06.016 https://doi.org/10.1016/j.jcp.2007.06.016 .

Hersbach H , Bell B , Berrisford P et al . 2020 . The ERA5 global reanalysis . Quarterly Journal of the Royal Meteorological Society , 146 ( 730 ): 1999 - 2049 , https://doi.org/10.1002/qj.3803 https://doi.org/10.1002/qj.3803 .

His E , Robert R , Dinet A . 1989 . Combined effects of temperature and salinity on fed and starved larvae of the Mediterranean mussel Mytilus galloprovincialis and the Japanese oyster Crassostrea gigas . Marine Biology , 100 ( 4 ): 455 - 463 , https://doi.org/10.1007/BF00394822 https://doi.org/10.1007/BF00394822 .

Hofmeister R , Burchard H , Bolding K . 2009 . A three-dimensional model study on processes of stratification and de-stratification in the Limfjord . Continental Shelf Research , 29 ( 11-12 ): 1515 - 1524 , https://doi.org/10.1016/j.csr.2009.04.004 https://doi.org/10.1016/j.csr.2009.04.004 .

Lazo C S , Pita I M . 2012 . Effect of temperature on survival, growth and development of Mytilus galloprovincialis larvae . Aquaculture Research , 43 ( 8 ): 1127 - 1133 , https://doi.org/10.1111/j.1365-2109.2011.02916.x https://doi.org/10.1111/j.1365-2109.2011.02916.x .

Li Y X , Yang Y J , Sun L et al . 2014 . The upper ocean environment responses to typhoon Prapiroon (2012) . In: Frouin R J, Pan D, Murakami H eds. Ocean Remote Sensing and Monitoring from Space . SPIE, Beijing , https://doi.org/10.1117/12.2069263 https://doi.org/10.1117/12.2069263 .

Lin I , Liu W T , Wu C C et al . 2003 . New evidence for enhanced ocean primary production triggered by tropical cyclone . Geophysical Research Letters , 30 ( 13 ): 51 , https://doi.org/10.1029/2003GL017141 https://doi.org/10.1029/2003GL017141 .

Lin S , Zhang W Z , Shang S P et al . 2017 . Ocean response to typhoons in the western North Pacific: composite results from Argo data . Deep Sea Research Part I: Oceanographic Research Papers , 123 : 62 - 74 , https://doi.org/10.1016/j.dsr.2017.03.007 https://doi.org/10.1016/j.dsr.2017.03.007 .

Liu F F , Tang S L . 2018 . Influence of the interaction between typhoons and oceanic mesoscale eddies on phytoplankton blooms . Journal of Geophysical Research: Oceans , 123 ( 4 ): 2785 - 2794 , https://doi.org/10.1029/2017JC013225 https://doi.org/10.1029/2017JC013225 .

Liu S M , Hong G H , Zhang J et al . 2009 . Nutrient budgets for large Chinese estuaries . Biogeosciences , 6 ( 10 ): 2245 - 2263 , https://doi.org/10.5194/bg-6-2245-2009 https://doi.org/10.5194/bg-6-2245-2009 .

Liu X C , Gu Y Z , Zhai F G et al . 2022a . Dramatic temperature variations in the Yellow Sea during the passage of typhoon Lekima (2019). Estuarine , Coastal and Shelf Science , 269 : 107819 , https://doi.org/10.1016/j.ecss.2022.107819 https://doi.org/10.1016/j.ecss.2022.107819 .

Liu X C , Zhai F G , Yan J J et al . 2022b . Three-dimensional temperature responses to northward-moving typhoons in the shallow stratified Yellow Sea in summer . Journal of Geophysical Research: Oceans , 127 ( 12 ): e2022 JC 019091 , https://doi.org/10.1029/2022JC019091 https://doi.org/10.1029/2022JC019091 .

Locarnini R A , Mishonov A V , Antonov J I et al . 2013 . World Ocean Atlas 2013, Volume 1: Temperature . In: Levitus S ed. NOAA Atlas NESDIS 73 . 40pp.

Lu X Q , Yu H , Ying M et al . 2021a . Western North Pacific tropical cyclone database created by the China meteorological administration . Advances in Atmospheric Sciences , 38 ( 4 ): 690 - 699 , https://doi.org/10.1007/s00376-020-0211-7 https://doi.org/10.1007/s00376-020-0211-7 .

Lu Z M , Wang G H , Shang X D . 2021b . Inner-core sea surface cooling induced by a tropical cyclone . Journal of Physical Oceanography , 51 ( 11 ): 3385 - 3400 , https://doi.org/10.1175/JPO-D-21-0102.1 https://doi.org/10.1175/JPO-D-21-0102.1 .

Mei W , Pasquero C , Primeau F . 2012 . The effect of translation speed upon the intensity of tropical cyclones over the tropical ocean . Geophysical Research Letters , 39 ( 7 ): L 07801 , https://doi.org/10.1029/2011GL050765 https://doi.org/10.1029/2011GL050765 .

Menkes C E , Lengaigne M , Lévy M et al . 2016 . Global impact of tropical cyclones on primary production . Global Biogeochemical Cycles , 30 ( 5 ): 767 - 786 , https://doi.org/10.1002/2015GB005214 https://doi.org/10.1002/2015GB005214 .

Miyazawa Y , Zhang R C , Guo X Y et al . 2009 . Water mass variability in the western North Pacific detected in a 15-year eddy resolving ocean reanalysis . Journal of Oceanography , 65 ( 6 ): 737 - 756 , https://doi.org/10.1007/s10872-009-0063-3 https://doi.org/10.1007/s10872-009-0063-3 .

Nakamura R , Shibayama T , Esteban M et al . 2016 . Future typhoon and storm surges under different global warming scenarios: case study of typhoon Haiyan (2013) . Natural Hazards , 82 ( 3 ): 1645 - 1681 , https://doi.org/10.1007/s11069-016-2259-3 https://doi.org/10.1007/s11069-016-2259-3 .

Pan G , Chai F , Tang D L et al . 2017 . Marine phytoplankton biomass responses to typhoon events in the South China Sea based on physical-biogeochemical model . Ecological Modelling , 356 : 38 - 47 , https://doi.org/10.1016/j.ecolmodel.2017.04.013 https://doi.org/10.1016/j.ecolmodel.2017.04.013 .

Pan J Y , Sun Y J . 2013 . Estimate of ocean mixed layer deepening after a typhoon passage over the South China Sea by using satellite data . Journal of Physical Oceanography , 43 ( 3 ): 498 - 506 , https://doi.org/10.1175/JPO-D-12-01.1 https://doi.org/10.1175/JPO-D-12-01.1 .

Pennock J R . 1985 . Chlorophyll distributions in the Delaware estuary: regulation by light-limitation . Estuarine, Coastal and Shelf Science , 21 ( 5 ): 711 - 725 , https://doi.org/10.1016/0272-7714(85)90068-X https://doi.org/10.1016/0272-7714(85)90068-X .

Price J F . 1981 . Upper ocean response to a hurricane . Journal of Physical Oceanography , 11 ( 2 ): 153 - 175 , https://doi.org/10.1175/1520-0485(1981)0110153:UORTAH2.0.CO;2 https://doi.org/10.1175/1520-0485(1981)0110153:UORTAH2.0.CO;2 .

Qiu Y , Han W Q , Lin X Y et al . 2019 . Upper-ocean response to the super tropical cyclone Phailin (2013) over the freshwater region of the Bay of Bengal . Journal of Physical Oceanography , 49 ( 5 ): 1201 - 1228 , https://doi.org/10.1175/JPO-D-18-0228.1 https://doi.org/10.1175/JPO-D-18-0228.1 .

Sanabia E R , Jayne S R . 2020 . Ocean observations under two major hurricanes: evolution of the response across the storm wakes . AGU Advances , 1 ( 3 ): e2019 AV 000161 , https://doi.org/10.1029/2019AV000161 https://doi.org/10.1029/2019AV000161 .

Sanford T B , Price J F , Girton J B et al . 2007 . Highly resolved observations and simulations of the ocean response to a hurricane . Geophysical Research Letters , 34 ( 13 ): L 13604 , https://doi.org/10.1029/2007GL029679 https://doi.org/10.1029/2007GL029679 .

Shang S L , Li L , Sun F Q et al . 2008 . Changes of temperature and bio-optical properties in the South China Sea in response to Typhoon Lingling, 2001 . Geophysical Research Letters , 35 ( 10 ): L 10602 , https://doi.org/10.1029/2008GL033502 https://doi.org/10.1029/2008GL033502 .

Shi W , Wang M H . 2011 . Satellite observations of asymmetrical physical and biological responses to Hurricane Earl . Geophysical Research Letters , 38 ( 4 ): L 04607 , https://doi.org/10.1029/2010GL046574 https://doi.org/10.1029/2010GL046574 .

Simpson J H , Bowers D . 1981 . Models of stratification and frontal movement in shelf seas . Deep Sea Research Part A. Oceanographic Research Papers , 28 ( 7 ): 727 - 738 , https://doi.org/10.1016/0198-0149(81)90132-1 https://doi.org/10.1016/0198-0149(81)90132-1 .

Sun L , Yang Y J , Xian T et al . 2010 . Strong enhancement of chlorophyll a concentration by a weak typhoon . Marine Ecology Progress Series , 404 : 39 - 50 , https://doi.org/10.3354/meps08477 https://doi.org/10.3354/meps08477 .

Tong Y D , Zhao Y , Zhen G C et al . 2015 . Nutrient loads flowing into coastal waters from the main rivers of China (2006-2012) . Scientific Reports , 5 ( 1 ): 16678 , https://doi.org/10.1038/srep16678 https://doi.org/10.1038/srep16678 .

Vickery P J , Wadhera D , Powell M D et al . 2009 . A hurricane boundary layer and wind field model for use in engineering applications . Journal of Applied Meteorology and Climatology , 48 ( 2 ): 381 - 405 , https://doi.org/10.1175/2008JAMC1841.1 https://doi.org/10.1175/2008JAMC1841.1 .

Vidya P J , Das S , Murali R M . 2017 . Contrasting Chl- a responses to the tro pical cyclones Thane and Phailin in the Bay of Bengal . Journal of Marine Systems , 165 : 103 - 114 , https://doi.org/10.1016/j.jmarsys.2016.10.001 https://doi.org/10.1016/j.jmarsys.2016.10.001 .

Vincent E M , Lengaigne M , Vialard J et al . 2012 . Assessing the oceanic control on the amplitude of sea surface cooling induced by tropical cyclones . Journal of Geophysical Research: Oceans , 117 ( C5 ): C 05023 , https://doi.org/10.1029/2011JC007705 https://doi.org/10.1029/2011JC007705 .

Vincent E M , Madec G , Lengaigne M et al . 2013 . Influence of tropical cyclones on sea surface temperature seasonal cycle and ocean heat transport . Climate Dynamics , 41 ( 7 ): 2019 - 2038 , https://doi.org/10.1007/s00382-012-1556-0 https://doi.org/10.1007/s00382-012-1556-0 .

Walker N D , Leben R R , Balasubramanian S . 2005 . Hurricane-forced upwelling and chlorophyll a enhancement within cold-core cyclones in the Gulf of Mexico . Geophysical Research Letters , 32 ( 18 ): L 18610 , https://doi.org/10.1029/2005GL023716 https://doi.org/10.1029/2005GL023716 .

Walker N D , Leben R R , Pilley C T et al . 2014 . Slow translation speed causes rapid collapse of northeast Pacific Hurricane Kenneth over cold core eddy . Geophysical Research Letters , 41 ( 21 ): 7595 - 7601 , https://doi.org/10.1002/2014GL061584 https://doi.org/10.1002/2014GL061584 .

Wang G H , Wu L W , Johnson N C et al . 2016 . Observed three-dimensional structure of ocean cooling induced by Pacific tropical cyclones . Geophysical Research Letters , 43 ( 14 ): 7632 - 7638 , https://doi.org/10.1002/2016GL069605 https://doi.org/10.1002/2016GL069605 .

Wang J N , Yan W J , Chen N W et al . 2015 . Modeled long-term changes of DIN: DIP ratio in the Changjiang River in relation to Chl- a and DO concentrations in adjacent estuary . Estuarine, Coastal and Shelf Science , 166 : 153 - 160 , https://doi.org/10.1016/j.ecss.2014.11.028 https://doi.org/10.1016/j.ecss.2014.11.028 .

Wang P C , Sheng J Y . 2016 . A comparative study of wave-current interactions over the eastern Canadian shelf under severe weather conditions using a coupled wave-circulation model . Journal of Geophysical Research: Oceans , 121 ( 7 ): 5252 - 5281 , https://doi.org/10.1002/2016JC011758 https://doi.org/10.1002/2016JC011758 .

Wang Y T , Xiu P . 2022 . Typhoon footprints on ocean surface temperature and chlorophyll- a in the South China Sea. Science of The Total Environment , 840 : 156686 , https://doi.org/10.1016/j.scitotenv.2022.156686 https://doi.org/10.1016/j.scitotenv.2022.156686 .

Xu Y , He H L , Song J B et al . 2017 . Observations and modeling of typhoon waves in the South China Sea . Journal of Physical Oceanography , 47 ( 6 ): 1307 - 1324 , https://doi.org/10.1175/JPO-D-16-0174.1 https://doi.org/10.1175/JPO-D-16-0174.1 .

Yang Y , Li K P , Du J T et al . 2019 . Revealing the subsurface Yellow Sea Cold Water Mass from satellite data associated with Typhoon Muifa . Journal of Geophysical Research: Oceans , 124 ( 10 ): 7135 - 7152 , https://doi.org/10.1029/2018JC014727 https://doi.org/10.1029/2018JC014727 .

Ye S N , Zhang R H , Wang H N et al . 2024 . Tropical cyclone-induced ecological responses and their feedback on physical fields: a case study for Hurricane Fernanda (2017) . Journal of Geophysical Research: Oceans , 129 ( 9 ): e2024 JC 021150 , https://doi.org/10.1029/2024JC021150 https://doi.org/10.1029/2024JC021150 .

Ye S N , Zhang R H , Wang H N . 2023 . The role played by tropical cyclones-induced freshwater flux forcing in the upper-ocean responses: a case for Typhoon Yutu (2018). Ocean Modelling , 184 : 102211 , https://doi.org/10.1016/j.ocemod.2023.102211 https://doi.org/10.1016/j.ocemod.2023.102211 .

Ying M , Zhang W , Yu H et al . 2014 . An overview of the China Meteorological Administration tropical cyclone database . Journal of Atmospheric and Oceanic Technology , 31 ( 2 ): 287 - 301 , https://doi.org/10.1175/JTECH-D-12-00119.1 https://doi.org/10.1175/JTECH-D-12-00119.1 .

Zhang H Y , Fennel K , Laurent A et al . 2020a . A numerical model study of the main factors contributing to hypoxia and its interannual and short-term variability in the East China Sea . Biogeosciences , 17 ( 22 ): 5745 - 5761 , https://doi.org/10.5194/bg-17-5745-2020 https://doi.org/10.5194/bg-17-5745-2020 .

Zhang H , Liu X H , Wu R H et al . 2020b . Sea surface current response patterns to tropical cyclones. Journal of Marine Systems , 208 : 103345 , https://doi.org/10.1016/j.jmarsys.2020.103345 https://doi.org/10.1016/j.jmarsys.2020.103345 .

Zhang J . 1996 . Nutrient elements in large Chinese estuaries . Continental Shelf Research , 16 ( 8 ): 1023 - 1045 , https://doi.org/10.1016/0278-4343(95)00055-0 https://doi.org/10.1016/0278-4343(95)00055-0 .

Zhao H , Pan J Y , Han G Q et al . 2017 . Effect of a fast-moving tropical storm Washi on phytoplankton in the northwestern South China Sea . Journal of Geophysical Research: Oceans , 122 ( 4 ): 3404 - 3416 , https://doi.org/10.1002/2016JC012286 https://doi.org/10.1002/2016JC012286 .

Zhao H , Shao J C , Han G Q et al . 2015 . Influence of Typhoon Matsa on phytoplankton chlorophyll- a off East China . PLoS One , 10 ( 9 ): e 0137863 , https://doi.org/10.1371/journal.pone.0137863 https://doi.org/10.1371/journal.pone.0137863 .

Zhao H , Tang D L , Wang Y Q . 2008 . Comparison of phytoplankton blooms triggered by two typhoons with different intensities and translation speeds in the South China Sea . Marine Ecology Progress Series , 365 : 57 - 65 , https://doi.org/10.3354/meps07488 https://doi.org/10.3354/meps07488 .

Zweng M M , Reagan J R , Antonov J I et al . 2013 . World Ocean Atlas 2013, Volume 2: Salinity . In: Levitus S ed. NOAA Atlas NESDIS 74 . 39pp.

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