{"title":"Simulation and Lagrangian analysis of coastal upwelling in the northwestern East/Japan sea","authors":"P.A. Fayman, I.S. Solonets, S.V. Prants, M.V. Budyansky, A.A. Didov","doi":"10.1016/j.csr.2025.105535","DOIUrl":null,"url":null,"abstract":"<div><div>The autumn monsoon coastal upwelling in the northwestern East/Japan Sea (EJS) was studied using five upwelling indices, 3D tracking of Lagrangian particles, finite-time Lyapunov exponents, and satellite data on sea surface temperature (SST) and chlorophyll-a concentration. The coastal upwelling, which had not yet been quantitatively simulated and studied in the area, begins at the end of September when northwesterly and westerly winds dominate. The simulations were conducted using the Regional Ocean Model System (ROMS) with a high horizontal resolution of 600 m. The upwelling intensity has been estimated by calculating SST difference between the coastal and offshore zones, the Ekman transport and pumping indices, sea surface height and speed of offshore surface currents. A strong upwelling event in the fall of 2017 was identified through calculations of the thermal upwelling index and other indices over the extended period from 1999 to 2019, based on model results and satellite observations. The intermittency of active and break phases during the 2017 upwelling event correlated with variations in wind direction and surface wind stress curl in the study area. The upwelling of cold bottom water to the surface was directly simulated via 3D Lagrangian particle tracking in the model velocity field. Deep-water upwelling is a dynamic process, with the distribution of upwelled particles reaching the surface layer correlating with the wind-induced upwelling index near the coastal area bounded by the 60 m isobath. Another key result of this study is the identification of transport barriers separating surface waters with different temperatures. These barriers were identified by maxima in the finite-time Lyapunov exponent, which provided insights into upwelling thermal fronts and associated transport patterns. The simulation results agreed with satellite-derived SST and chlorophyll-a data from the fall of 2017, as well as with satellite and <em>in situ</em> observations of coastal upwelling in the study area from other years.</div></div>","PeriodicalId":50618,"journal":{"name":"Continental Shelf Research","volume":"294 ","pages":"Article 105535"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Continental Shelf Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278434325001359","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
The autumn monsoon coastal upwelling in the northwestern East/Japan Sea (EJS) was studied using five upwelling indices, 3D tracking of Lagrangian particles, finite-time Lyapunov exponents, and satellite data on sea surface temperature (SST) and chlorophyll-a concentration. The coastal upwelling, which had not yet been quantitatively simulated and studied in the area, begins at the end of September when northwesterly and westerly winds dominate. The simulations were conducted using the Regional Ocean Model System (ROMS) with a high horizontal resolution of 600 m. The upwelling intensity has been estimated by calculating SST difference between the coastal and offshore zones, the Ekman transport and pumping indices, sea surface height and speed of offshore surface currents. A strong upwelling event in the fall of 2017 was identified through calculations of the thermal upwelling index and other indices over the extended period from 1999 to 2019, based on model results and satellite observations. The intermittency of active and break phases during the 2017 upwelling event correlated with variations in wind direction and surface wind stress curl in the study area. The upwelling of cold bottom water to the surface was directly simulated via 3D Lagrangian particle tracking in the model velocity field. Deep-water upwelling is a dynamic process, with the distribution of upwelled particles reaching the surface layer correlating with the wind-induced upwelling index near the coastal area bounded by the 60 m isobath. Another key result of this study is the identification of transport barriers separating surface waters with different temperatures. These barriers were identified by maxima in the finite-time Lyapunov exponent, which provided insights into upwelling thermal fronts and associated transport patterns. The simulation results agreed with satellite-derived SST and chlorophyll-a data from the fall of 2017, as well as with satellite and in situ observations of coastal upwelling in the study area from other years.
期刊介绍:
Continental Shelf Research publishes articles dealing with the biological, chemical, geological and physical oceanography of the shallow marine environment, from coastal and estuarine waters out to the shelf break. The continental shelf is a critical environment within the land-ocean continuum, and many processes, functions and problems in the continental shelf are driven by terrestrial inputs transported through the rivers and estuaries to the coastal and continental shelf areas. Manuscripts that deal with these topics must make a clear link to the continental shelf. Examples of research areas include:
Physical sedimentology and geomorphology
Geochemistry of the coastal ocean (inorganic and organic)
Marine environment and anthropogenic effects
Interaction of physical dynamics with natural and manmade shoreline features
Benthic, phytoplankton and zooplankton ecology
Coastal water and sediment quality, and ecosystem health
Benthic-pelagic coupling (physical and biogeochemical)
Interactions between physical dynamics (waves, currents, mixing, etc.) and biogeochemical cycles
Estuarine, coastal and shelf sea modelling and process studies.