Spatio-temporal variability of coastal upwelling using high resolution remote sensing observations in the Bay of Bengal

被引:3
|
作者
Dey, Shouvik [1 ]
Sil, Sourav [1 ,2 ]
机构
[1] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Bhubaneswar, India
[2] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Ocean Anal & Modelling Lab, Bhubaneswar 752050, Odisha, India
关键词
Coastal upwelling; HF Radar; Scatterometer winds; Air-sea interaction; Upwelling index; Coastal trapped Kelvin Waves; SEA-SURFACE TEMPERATURE; PRODUCTIVITY CHARACTERISTICS; NORTHWESTERN BAY; DISSOLVED-OXYGEN; EAST-COAST; WEST-COAST; OCEAN; WIND; CIRCULATION; CALIFORNIA;
D O I
10.1016/j.ecss.2023.108228
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
The work investigated the tempo-spatial variability of coastal upwelling through high-resolution High-Frequency (HF) radar-derived ocean current and other remote sensing observations on the northwest coast of the Bay of Bengal in 2018. Sea Surface Temperature (SST) showed a coastal upwelling signature only during April and May despite upwelling-favorable winds throughout the southwest monsoon. Stratified coastal water and coastaltrapped downwelling Kelvin waves suppressed the upwelling on the western coast from June. Improved fidelity was available from sea surface temperature (SST) and cross-shore surface current (CSSC) components of HF radar-derived ocean surface current, which showed strong consistency in detecting actual coastal upwelling from April to the first week of June. Coastal upwelling events consisted of six phases; three active phases and each followed by three break phases. The active phases of the coastal upwelling from SST lasted for about 15, 6, and 9 days, with a horizontal extension of 105 km, 75 km, and 140 km. The horizontal extension of strong positive CSSC during the first and third phases was over 135 km, while being 75 km during the second active phase. The duration of the active phase and the strong CSSC directly influence the horizontal extension of the upwelled colder water. High resolution (6.25 km) swath data helps to show that the weakening of wind shear near the coast started two days before the start of the second break phase in SST, which could not be captured in 25 km gridded winds. The altimetry track data of sea level anomalies obtained from different sensors for different days also captured the different upwelling phases. A large concentration of Chl-a near the coast, as observed in the chlorophyll-a monthly mean result, suggested the occurrence of coastal upwelling. However, the temporal variability could not be elucidated due to the low temporal coverage of Chl-a data. The active and break phases of the coastal upwelling are explained by associated air-sea interactions. This study suggests that HF radar data is beneficial for monitoring the high spatio-temporal variability of coastal upwelling, and high resolution swath data from the scatterometer is crucial for understanding the variability of coastal upwelling.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Spatio-temporal variations in upwelling indices in Arabian Sea coastal upwelling systems and associated biological productivity using remote sensing observations
    Ganguly, Debojyoti
    Suryanarayana, K.
    Raman, Mini
    [J]. JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2024, 17 (01) : 63 - 76
  • [2] Spatio-temporal variation of mesozooplankton in the northern coastal waters of Bay of Bengal
    Siddique, Alfisa
    Purushothaman, Jasmine
    Bhowal, Aishee
    Prasad, Haritha
    Banerjee, Dhriti
    [J]. CONTINENTAL SHELF RESEARCH, 2024, 277
  • [3] Spatio-Temporal evolution of Chlorophyll-a in the Bay of Bengal: A Remote Sensing and Bio-Argo Perspective
    Bhaskar, T. V. S. Udaya
    Jayaram, Chiranjivi
    Rao, E. P. Rama
    Rao, K. H.
    [J]. REMOTE SENSING OF THE OCEANS AND INLAND WATERS: TECHNIQUES, APPLICATIONS, AND CHALLENGES, 2016, 9878
  • [4] Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data
    Lguensat, Redouane
    Tandeo, Pierre
    Fablet, Ronan
    Garello, Rene
    [J]. 2014 OCEANS - ST. JOHN'S, 2014,
  • [5] Spatio-temporal variability in hydro-chemical characteristics of coastal waters of Salimpur, Chittagong along the Bay of Bengal
    Talukder, Avijit
    Mallick, Debbrota
    Hasin, Tasnuba
    Anka, Ishrat Zahan
    Hasan, Md Mehedi
    [J]. JOURNAL OF FISHERIES, 2016, 4 (01) : 335 - 344
  • [6] Spatio-Temporal Assessment of Surface Moisture and Evapotranspiration Variability Using Remote Sensing Techniques
    Le, Mai Son
    Liou, Yuei-An
    [J]. REMOTE SENSING, 2021, 13 (09)
  • [7] Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
    Costa, Taiara Souza
    dos Santos, Robson Argolo
    Santos, Rosangela Leal
    Filgueiras, Roberto
    da Cunha, Fernando Franca
    Pereira, Anderson de Jesus
    de Salles, Rodrigo Amaro
    [J]. SEMINA-CIENCIAS AGRARIAS, 2021, 42 (04): : 2181 - 2201
  • [8] High spatio-temporal resolution video with compressed sensing
    Koller, Roman
    Schmid, Lukas
    Matsuda, Nathan
    Niederberger, Thomas
    Spinoulas, Leonidas
    Cossairt, Oliver
    Schuster, Guido
    Katsaggelos, Aggelos K.
    [J]. OPTICS EXPRESS, 2015, 23 (12): : 15992 - 16007
  • [9] Energetics and spatio-temporal variability of semidiurnal internal tides in the Bay of Bengal and Andaman Sea
    Jithin, A. K.
    Francis, P. A.
    Unnikrishnan, A. S.
    Ramakrishna, S. S. V. S.
    [J]. PROGRESS IN OCEANOGRAPHY, 2020, 189
  • [10] Spatio-temporal variability of upwelling along the southwest coast of India based on satellite observations
    Jayaram, Chiranjivi
    Kumar, P. K. Dinesh
    [J]. CONTINENTAL SHELF RESEARCH, 2018, 156 : 33 - 42