HIGH-RESOLUTION SURFACE CIRCULATION OF THE BAY OF BENGAL DERIVED FROM SATELLITE OBSERVATION DATA

被引:5
|
作者
Rayaroth, Mridula Kuttyattu [1 ]
Peter, Benny Neettumkara [2 ]
Mahmud, Mohd Razali [1 ]
机构
[1] Univ Teknol Malaysia, Fac Geoinformat & Real Estate, Dept Geoinformat, Johor Baharu, Malaysia
[2] Kerala Univ Fisheries & Ocean Studies, Sch Ocean Engn & Underwater Technol, Dept Coastal & Offshore Engn, Kochi, Kerala, India
来源
关键词
satellite altimetry; surface drifter; Bay of Bengal; surface circulation; Indian Ocean Dipole; TROPICAL INDIAN-OCEAN; SOUTHWEST MONSOON; DIPOLE MODE; SEASONAL CIRCULATION; SUMMER MONSOON; SEA; VARIABILITY; DYNAMICS; TEMPERATURE; ALTIMETRY;
D O I
10.6119/JMST-015-1215-2
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
High-resolution surface circulation and its variability of the Bay of Bengal are derived by combining surface drifter and satellite observation data. The satellite altimetry data, satellite tracked surface drifter data and ocean surface winds from satellite scatterometers during 1993-2012 are used. The estimated velocities show good agreement with in-situ acoustic Doppler current profiler observations. The estimated velocity components are significantly correlated with monthly mean velocity components from Research Moored Array for African Asian-Australian Monsoon Analysis and Prediction buoy data. The mean circulation exhibits the strong western boundary current, zonal currents and weak eastern boundary flow. Large spatial and temporal variations are found in the western boundary current and intense mesoscale eddy activity in the western Bay of Bengal. Significant changes in surface circulation during positive and negative Indian Ocean Dipole (IOD) events are evident. During positive IOD, the eastward equatorial jet is reversed and the western boundary current is much weakened. Meanwhile, the western boundary current is the prominent flow during negative IOD events. High eddy kinetic energy is found during strong IOD events.
引用
收藏
页码:656 / 668
页数:13
相关论文
共 50 条
  • [31] Lessons from high-resolution satellite SSTs
    Uddstrom, MJ
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2003, 84 (07) : 896 - 897
  • [32] HIGH-RESOLUTION STRATOSPHERIC WINDS DERIVED FROM CHEMICAL TRIAL DATA
    QUESADA, AF
    CORBIN, VL
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1974, 55 (04): : 383 - 383
  • [34] Development of a high-resolution coastal circulation model for the ocean observatory in lunenburg bay
    Liang Wang
    Jinyu Sheng
    Journal of Ocean University of China, 2005, 4 (4) : 349 - 356
  • [35] Insolation estimates for the LITFASS area derived from high resolution satellite data
    Podlasly, C
    Berger, FH
    THEORETICAL AND APPLIED CLIMATOLOGY, 2002, 73 (1-2) : 87 - 95
  • [36] Insolation estimates for the LITFASS area derived from high resolution satellite data
    C. Podlasly
    F. H. Berger
    Theoretical and Applied Climatology, 2002, 73 : 87 - 95
  • [37] From High-resolution Data to High-resolution Probabilistic Load Forecasts
    Xie, Jingrui
    Hong, Tao
    Kang, Chongqing
    2016 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D), 2016,
  • [38] Inter-annual and seasonal cycle of satellite derived sea surface salinity in the western Bay of Bengal
    Kandasamy Priyanka
    Ranjitkumar Sarangi
    Ramalingam Shanthi
    Durairaj Poornima
    Ayyappan Saravanakumar
    Arabian Journal of Geosciences, 2022, 15 (22)
  • [39] Spatial Heterogeneity and Temporal Variation in Urban Surface Albedo Detected by High-Resolution Satellite Data
    Wu, Hantian
    Huang, Bo
    Zheng, Zhaoju
    Ma, Zonghan
    Zeng, Yuan
    REMOTE SENSING, 2022, 14 (23)
  • [40] High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data
    Shahrokhishahraki, Nasimeh
    Rayner, Peter Julian
    Silver, Jeremy David
    Thomas, Steven
    Schofield, Robyn
    ATMOSPHERIC ENVIRONMENT, 2022, 270