Projecting Three‐dimensional Ocean Thermohaline Structure in the North Indian Ocean from the Satellite Sea Surface Data Based on a Variational Method

2020 ◽  
Author(s):  
Zikang He ◽  
Xidong Wang ◽  
Xinrong Wu ◽  
Zhiqiang Chen ◽  
Jian Chen
Keyword(s):  
Indian Ocean ◽  
Variational Method ◽  
Three Dimensional ◽  
North Indian Ocean ◽  
Sea Surface ◽  
Thermohaline Structure ◽  
The North ◽  
Surface Data

scholarly journals The Use of MTM-SVD Technique to Explore the Joint Spatiotemporal Modes of Wind and Sea Surface Variability in the North Indian Ocean during 1993–2005

2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Thaned Rojsiraphisal ◽  
Balaji Rajagopalan ◽  
Lakshmi Kantha
Keyword(s):  
Indian Ocean ◽  
Ocean Model ◽  
North Indian Ocean ◽  
Sea Surface ◽  
Ocean Climate ◽  
Modes Of Variability ◽  
The North ◽  
Monsoon Variability ◽  
Value Decomposition ◽  
Surface Variability

Sea surface height (SSH) and sea surface temperature (SST) in the North Indian Ocean are affected predominantly by the seasonally reversing monsoons and in turn feed back on monsoon variability. In this study, a set of data generated from a data-assimilative ocean model is used to examine coherent spatiotemporal modes of variability of winds and surface parameters using a frequency domain technique, Multiple Taper Method with Singular Value Decomposition (MTM-SVD). The analysis shows significant variability at annual and semiannual frequencies in these fields individually and jointly. The joint variability of winds and SSH is significant at interannual (2-3 years) timescale related to the ENSO mode—with a “/dipole/” like spatial pattern. Joint variability with SST showed similar but somewhat weaker behavior. Winds appear to be the driver of variability in both SSH and SST at these frequency bands. This offers prospects for long-lead projections of the North Indian Ocean climate.

scholarly journals Reconstructing the Ocean's Interior from Surface Data

2013 ◽  
Vol 43 (8) ◽  
pp. 1611-1626 ◽  
Author(s):  
Jinbo Wang ◽  
Glenn R. Flierl ◽  
Joseph H. LaCasce ◽  
Julie L. McClean ◽  
Amala Mahadevan
Keyword(s):  
North Atlantic ◽  
Surface Density ◽  
Three Dimensional ◽  
Sea Surface Height ◽  
Sea Surface ◽  
The North ◽  
Surface Data ◽  
Pressure Anomaly ◽  
Using Data ◽  
Baroclinic Modes

Abstract A new method is proposed for extrapolating subsurface velocity and density fields from sea surface density and sea surface height (SSH). In this, the surface density is linked to the subsurface fields via the surface quasigeostrophic (SQG) formalism, as proposed in several recent papers. The subsurface field is augmented by the addition of the barotropic and first baroclinic modes, whose amplitudes are determined by matching to the sea surface height (pressure), after subtracting the SQG contribution. An additional constraint is that the bottom pressure anomaly vanishes. The method is tested for three regions in the North Atlantic using data from a high-resolution numerical simulation. The decomposition yields strikingly realistic subsurface fields. It is particularly successful in energetic regions like the Gulf Stream extension and at high latitudes where the mixed layer is deep, but it also works in less energetic eastern subtropics. The demonstration highlights the possibility of reconstructing three-dimensional oceanic flows using a combination of satellite fields, for example, sea surface temperature (SST) and SSH, and sparse (or climatological) estimates of the regional depth-resolved density. The method could be further elaborated to integrate additional subsurface information, such as mooring measurements.

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