Sonostratigraphy of tropical Indian Ocean giant piston cores: toward a rapid and high-resolution tool for tracking dissolution cycles in Pleistocene carbonate sediments

1993 ◽  
Vol 120 (3-4) ◽  
pp. 327-344 ◽  
Author(s):  
Franck C. Bassinot
Keyword(s):  
High Resolution ◽  
Indian Ocean ◽  
Tropical Indian Ocean ◽  
Carbonate Sediments

scholarly journals Coarse fraction fluctuations in pelagic carbonate sediments from the tropical Indian Ocean: A 1500-kyr record of carbonate dissolution

1994 ◽  
Vol 9 (4) ◽  
pp. 579-600 ◽  
Author(s):  
Franck C. Bassinot ◽  
Luc Beaufort ◽  
Edith Vincent ◽  
Laurent D. Labeyrie ◽  
Frauke Rostek ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Tropical Indian Ocean ◽  
Coarse Fraction ◽  
Carbonate Dissolution ◽  
Carbonate Sediments

Thermodynamic Response of a High-Resolution Tropical Indian Ocean Model to TOGA COARE Bulk Air–Sea Flux Parameterization: Case Study for the Bay of Bengal (BoB)

2020 ◽  
Vol 177 (8) ◽  
pp. 4025-4044 ◽  
Author(s):  
Subrat Kumar Mallick ◽  
Neeraj Agarwal ◽  
Rashmi Sharma ◽  
K. V. S. R. Prasad ◽  
S. S. V. S. Ramakrishna
Keyword(s):  
High Resolution ◽  
Indian Ocean ◽  
Bay Of Bengal ◽  
Tropical Indian Ocean ◽  
Ocean Model ◽  
Toga Coare ◽  
Flux Parameterization

High resolution Pliocene-Pleistocene radiolarian stratigraphy of the tropical Indian Ocean

1993 ◽  
Vol 22 (1-2) ◽  
pp. 111-129 ◽  
Author(s):  
J.P. Caulet ◽  
C. Nigrini ◽  
D.A. Schneider
Keyword(s):  
High Resolution ◽  
Indian Ocean ◽  
Tropical Indian Ocean

scholarly journals SENSITIVITY OF UPPER OCEAN DYNAMICS IN HIGH-RESOLUTION TROPICAL INDIAN OCEAN MODEL TO DIFFERENT FLUX PARAMETERIZATION: CASE STUDY FOR THE BAY OF BENGAL (BOB)

2018 ◽  
Vol XLII-5 ◽  
pp. 839-847 ◽  
Author(s):  
S. K. Mallick ◽  
N. Agarwal ◽  
R. Sharma ◽  
K. V. S. R. Prasad
Keyword(s):  
High Resolution ◽  
Indian Ocean ◽  
Bay Of Bengal ◽  
Tropical Indian Ocean ◽  
Ocean Dynamics ◽  
Sea Surface ◽  
Upper Ocean ◽  
Wind Component ◽  
Strong Wind ◽  
Flux Parameterization

<p><strong>Abstract.</strong> Simulation experiments using a high-resolution ocean general circulation model (OGCM) of the tropical Indian Ocean (TIO) were carried out to assess the model’s sensitivity to different flux parameterization. The flux formulation proposed by Kara et al. (2000) is used in the control run (CR). One more experiment differing in the bulk fluxes formulation for the computation of momentum, freshwater and heat is carried out. In the first experiment (CR), actual wind is used for the computation of the exchange coefficient in air-sea bulk flux formulation. In the second experiment (E1), model surface current is used in the wind stress formulation to compute the turbulent air-sea fluxes for TIO region. The formulation used in E1 is the same as it is used in CR, instead of actual wind, relative wind component is used in flux formulas. Both experiments are carried out for the period 2014&amp;ndash;2016. The OGCM is forced using the daily fields of winds, radiation and freshwater fluxes obtained from ERA-Interim Reanalysis. In this study, we examine and quantify the performance of the above-mentioned experiments with respect to observations from ARGO, satellite-based sea surface temperature (SST) and sea surface salinity (SSS) for the year 2015. We observe that the upper ocean dynamics is significantly modulated by different flux algorithms. The errors in simulated SST is reduced by &amp;sim;8% to 10% in E1 compared to CR, respectively. The temperature errors in the top 20<span class="thinspace"></span>m depth are reduced by 8% in E1. It is found that this flux formulation using relative winds is effective in accurately simulating the upper ocean dynamics in strong wind regimes of the Bay of Bengal.</p>

Vertical distribution of bigeye tuna Thunnus obesus in the tropical Indian Ocean

2013 ◽  
Vol 20 (3) ◽  
pp. 660-671 ◽  
Author(s):  
Xuezhong CHEN ◽  
Shenglong YANG ◽  
Yu Zhang ◽  
Wei FAN ◽  
Yumei WU
Keyword(s):  
Indian Ocean ◽  
Vertical Distribution ◽  
Tropical Indian Ocean ◽  
Bigeye Tuna ◽  
Thunnus Obesus

Interannual variability of the Tropical Indian Ocean mixed layer depth

2012 ◽  
Vol 40 (3-4) ◽  
pp. 743-759 ◽  
Author(s):  
M. G. Keerthi ◽  
M. Lengaigne ◽  
J. Vialard ◽  
C. de Boyer Montégut ◽  
P. M. Muraleedharan
Keyword(s):  
Indian Ocean ◽  
Interannual Variability ◽  
Mixed Layer ◽  
Mixed Layer Depth ◽  
Tropical Indian Ocean ◽  
Ocean Mixed Layer ◽  
Layer Depth ◽  
Ocean Mixed Layer Depth

Assessment of mass-induced sea level variability in the Tropical Indian Ocean based on GRACE and altimeter observations

2021 ◽  
Vol 95 (2) ◽  
Author(s):  
Shiva Shankar Manche ◽  
Rabindra K. Nayak ◽  
Prakash Chandra Mohanty ◽  
M. V. R. Shesasai ◽  
V. K. Dadhwal
Keyword(s):  
Indian Ocean ◽  
Sea Level ◽  
Tropical Indian Ocean ◽  
Sea Level Variability

scholarly journals Seasonality and Dynamics of Atmospheric Teleconnection from the Tropical Indian Ocean and the Western Pacific to West Antarctica

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 849
Author(s):  
Hyun-Ju Lee ◽  
Emilia-Kyung Jin
Keyword(s):  
Indian Ocean ◽  
Rossby Wave ◽  
Tropical Indian Ocean ◽  
Western Pacific ◽  
Tropical Region ◽  
Formation Mechanisms ◽  
West Antarctica ◽  
Background Flow ◽  
The Impact ◽  
The Western Pacific

The global impact of the tropical Indian Ocean and the Western Pacific (IOWP) is expected to increase in the future because this area has been continuously warming due to global warming; however, the impact of the IOWP forcing on West Antarctica has not been clearly revealed. Recently, ice loss in West Antarctica has been accelerated due to the basal melting of ice shelves. This study examines the characteristics and formation mechanisms of the teleconnection between the IOWP and West Antarctica for each season using the Rossby wave theory. To explicitly understand the role of the background flow in the teleconnection process, we conduct linear baroclinic model (LBM) simulations in which the background flow is initialized differently depending on the season. During JJA/SON, the barotropic Rossby wave generated by the IOWP forcing propagates into the Southern Hemisphere through the climatological northerly wind and arrives in West Antarctica; meanwhile, during DJF/MAM, the wave can hardly penetrate the tropical region. This indicates that during the Austral winter and spring, the IOWP forcing and IOWP-region variabilities such as the Indian Ocean Dipole (IOD) and Indian Ocean Basin (IOB) modes should paid more attention to in order to investigate the ice change in West Antarctica.

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