Upper ocean biophysical budget analysis during a cyclone using Regional Ocean Modeling System

被引:0
|
作者
Shee, Abhijit [1 ,2 ]
Sil, Sourav [1 ]
Gangopadhyay, Avijit [1 ,3 ]
Agarwal, Neeraj [4 ]
Sandeep, K. K. [1 ]
机构
[1] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Bhubaneswar, Odisha, India
[2] Indian Inst Sci, Ctr Atmospher & Ocean Sci, Bengaluru, Karnataka, India
[3] Univ Massachusetts, Sch Marine Sci & Technol, Dartmouth, MA USA
[4] Indian Space Res Org ISRO, Space Applicat Ctr SAC, Ahmadabad, Gujarat, India
关键词
Cyclone; ROMS; Mixed layer budget; Chlorophyll; NPZD; TROPICAL CYCLONES; NORTH-ATLANTIC; BARRIER LAYER; BAY; BENGAL; SURFACE; ARGO; VARIABILITY; WINDS; SIMULATIONS;
D O I
10.1016/j.ocemod.2025.102524
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The biophysical response of upper ocean during the passage of the very severe cyclonic storm 'Titli' over Bay of Bengal (BoB) during October 2018 is studied using the Regional Ocean Modeling System coupled with nutrient-phytoplankton-zooplankton-detritus (ROMS-NPZD) framework. Assessments with satellite and Argo observations show that the model forced by Scatsat-I winds and reanalysis fluxes simulates the changes in the upper ocean reasonably well. The biophysical variability is significantly realized in a cyclone-induced open-ocean upwelling region underlying the peak intensity of the cyclone. After the passage of the cyclone, surface chlorophyll-a concentration increases tenfold in the upwelling region. This increase of simulated surface phytoplankton further enhances the surface dissolved oxygen concentration by similar to 10 mu M from an initial value of 200 mu M. Strong temporal correspondences between the depth of the thermocline ((D23C)-C-degrees) and the oxycline (r = 0.97) and between nutricline and the mixed-layer depth (MLD) (r = 0.52) are also observed. A detailed term-by-term biophysical budget analysis is carried out with temporal tendency of temperature (and other biophysical parameters) subdivided into various components: (i) net surface heat (or buoyancy) flux; (ii) horizontal advection; (iii) vertical entrainment; (iv) vertical mixing; and (v) source and sink terms as necessary. Results show the cooling of upper layer temperature during cyclone is due to vertical processes (entrainment and mixing), which is recovered in the post-cyclone period due to MLD advection affecting entrainment and vertical mixing, followed by restoration of net surface heat flux. The increase in salinity during the cyclone is due to MLD tendency dominating vertical entrainment process, and the post-cyclone recovery is due to the horizontal advection and net surface freshwater flux. The shoaling of the nutricline allows for the transport of the nutrients from the deeper layers to the euphotic zone and enhancement of phytoplankton concentration at the surface about five days after the cyclone interaction. Budget analysis for biological processes showed the changes in the phytoplankton concentration are associated with (i) nitrate uptake by phytoplankton and (ii) zooplankton grazing on phytoplankton. This assessment of the state-of-the-art coupled ROMS-NPZD model emphasizes its applicability for various other applications on marine ecosystem modeling.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Upper ocean high resolution regional modeling of the Arabian Sea and Bay of Bengal
    Dwivedi Suneet
    Mishra Alok Kumar
    Srivastava Atul
    Acta Oceanologica Sinica, 2019, 38 : 32 - 50
  • [42] Variational Analysis of Simulated Ocean Surface Winds from the Cyclone Global Navigation Satellite System (CYGNSS) and Evaluation Using a Regional OSSE
    Leidner, S. Mark
    Annane, Bachir
    McNoldy, Brian
    Hoffman, Ross
    Atlas, Robert
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2018, 35 (08) : 1571 - 1584
  • [43] Upper ocean high resolution regional modeling of the Arabian Sea and Bay of Bengal
    Dwivedi Suneet
    Mishra Alok Kumar
    Srivastava Atul
    Acta Oceanologica Sinica, 2019, 38 (05) : 32 - 50
  • [44] Upper ocean high resolution regional modeling of the Arabian Sea and Bay of Bengal
    Suneet, Dwivedi
    Kumar, Mishra Alok
    Atul, Srivastava
    ACTA OCEANOLOGICA SINICA, 2019, 38 (05) : 32 - 50
  • [45] UPPER OCEAN MODELING IN A COASTAL BAY
    GAN, JP
    INGRAM, RG
    GREATBATCH, RJ
    CHEN, P
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1995, 100 (C8) : 15977 - 15997
  • [46] Modeling dimethylsulphide production in the upper ocean
    Cropp, RA
    Norbury, J
    Gabric, AJ
    Braddock, RD
    GLOBAL BIOGEOCHEMICAL CYCLES, 2004, 18 (03) : GB30051 - 21
  • [47] MODELING THE SEASONAL CYCLE OF THE UPPER OCEAN
    GASPAR, P
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 1988, 18 (02) : 161 - 180
  • [48] UPPER OCEAN HEAT-BUDGET DURING THE HAWAII-TO-TAHITI SHUTTLE EXPERIMENT
    STEVENSON, JW
    NIILER, PP
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 1983, 13 (10) : 1894 - 1907
  • [49] The biophysical responses of the upper ocean to the typhoons Namtheun and Malou in 2004
    Yang, Yuan-Jian
    Sun, Liang
    Liu, Qi
    Xian, Tao
    Fu, Yun-Fei
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (17-18) : 4559 - 4568
  • [50] MAXIMALLY-INFORMATIVE REGIONAL OCEAN MODELING SYSTEM (ROMS) NAVIGATION OF AN AUV IN UNCERTAIN OCEAN CURRENTS
    Anderson, Ross P.
    Dinolov, Georgi S.
    Milutinovic, Dejan
    Moore, Andrew M.
    PROCEEDINGS OF THE ASME 5TH ANNUAL DYNAMIC SYSTEMS AND CONTROL DIVISION CONFERENCE AND JSME 11TH MOTION AND VIBRATION CONFERENCE, DSCC 2012, VOL 3, 2013, : 291 - 297