Utilization of high resolution satellite geoid data for estimation of lithospheric thickness in the Bay of Bengal

被引:0
|
作者
Majumdar, T. J. [1 ]
Bhattacharyya, R. [1 ]
Chatterjee, S. [1 ]
Krishna, K. S. [2 ]
机构
[1] ISRO, Ctr Space Applicat, Remote Sensing Applicat Area, Marine & Earth Sci Grp,Earth Sci & Hydrol Div, Ahmadabad 380015, Gujarat, India
[2] Natl Inst Oceanog, Council Sci & Ind Res, Panaji 403004, Goa, India
来源
INDIAN JOURNAL OF MARINE SCIENCES | 2009年 / 38卷 / 04期
关键词
Satellite Geoid; Lithospheric Thickness; Geosat GM; ERS-1; Bay of Bengal; 85 degrees E Ridge; Ninetyeast Ridge; HEAT-FLOW; OCEAN; ANOMALIES; HEIGHT; INDIA;
D O I
暂无
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Very high-resolution database generated from Seasat, Geosat GM, ERS-1 and TOPEX/ POSEIDON altimeters data of the northern Indian Ocean has been used for the first time for preparation of geoid and free-air gravity maps. In the present work, geoid height anomalies have been analyzed across the Ninetyeast and 85 degrees E Ridges within the Bay of Bengal. Present data sets are more accurate and detailed (off-track resolution: about 3.33 km and grid size: about 3.5 km). Observed geoid height - age and geoid height derivative (with respect to age) - age relationships have been established and compared with the plate model of lithospheric cooling to determine. The present endeavor is to determine the lithospheric plate thickness beneath both ridge structures. Attempts have been made to match the observed value with the computed value over the Bay of Bengal. The lithospheric plate cooling model correlates convincingly with the observed value. It has shown the efficacy of a plate model according to which geoid observations of the Bay of Bengal are better explained by a larger plate thickness of 90 - 125 km for the oceanic crust of age older than 30 Ma.
引用
收藏
页码:382 / 389
页数:8
相关论文
共 50 条
  • [21] Geoid and gravity anomaly data of conjugate regions of Bay of Bengal and Enderby Basin: New constraints on breakup and early spreading history between India and Antarctica
    Krishna, K. S.
    Michael, Laju
    Bhattacharyya, R.
    Majumdar, T. J.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2009, 114
  • [22] Effect of Cyclone Thane in the Bay of Bengal Explored Using Moored Buoy Observations and Multi-platform Satellite Data
    Chacko, Neethu
    Zimik, Leimiwon
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (05) : 821 - 828
  • [23] Impact of Satellite-Derived Diffuse Attenuation Coefficient on Upper Ocean Simulation Using High-Resolution Numerical Ocean Model: Case Study for the Bay of Bengal
    Mallick, Subrat Kumar
    Agarwal, Neeraj
    Sharma, Rashmi
    Prasad, K. V. S. R.
    Weller, Robert A.
    MARINE GEODESY, 2019, 42 (06) : 535 - 557
  • [24] Effect of Cyclone Thane in the Bay of Bengal Explored Using Moored Buoy Observations and Multi-platform Satellite Data
    Neethu Chacko
    Leimiwon Zimik
    Journal of the Indian Society of Remote Sensing, 2018, 46 : 821 - 828
  • [25] Assessments of Gravity Data Gridding Using Various Interpolation Approaches for High-Resolution Geoid Computations
    Karaca, Onur
    Erol, Bihter
    Erol, Serdar
    GEOSCIENCES, 2024, 14 (03)
  • [26] Spatio-temporal variability of coastal upwelling using high resolution remote sensing observations in the Bay of Bengal
    Dey, Shouvik
    Sil, Sourav
    ESTUARINE COASTAL AND SHELF SCIENCE, 2023, 282
  • [27] A framework for the satellite-derived chlorophyll data assimilation into coupled physical-biogeochemical model: a case study for the Bay of Bengal
    Ratheesh, Smitha
    Jishad, M.
    Bhowmick, Suchandra Aich
    Agarwal, Neeraj
    Sharma, Rashmi
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2025, 11 (03)
  • [28] On extracting high-frequency tidal variability from HF radar data in the northwestern Bay of Bengal
    Mandal, Samiran
    Sil, Sourav
    Gangopadhyay, Avijit
    Murty, Tad
    Swain, Debadatta
    JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2018, 11 (02) : 65 - 81
  • [29] Marine Heatwaves Characteristics in the Barents Sea Based on High Resolution Satellite Data (1982-2020)
    Mohamed, Bayoumy
    Nilsen, Frank
    Skogseth, Ragnheid
    FRONTIERS IN MARINE SCIENCE, 2022, 9
  • [30] On the approximation of the inverse error covariances of high-resolution satellite altimetry data
    Yaremchuk, Max
    D'Addezio, Joseph M.
    Panteleev, Gleb
    Jacobs, Gregg
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 (715) : 1995 - 2000