High resolution modeling of the monsoon circulation in the Indian Ocean

Diansky, N. A.; Zalesny, V. B.; Moshonkin, S. N.; Rusakov, A. S.

doi:10.1134/s000143700605002x

Cited by 33 publications

(17 citation statements)

References 19 publications

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“…The reversal of this current in late summer is partly driven by the influx of river water from the north of the Bay (Diansky et al 2006); an area of low salinity water moves south along the Indian coast between August and December (Akhil et al 2014;Chaitanya et al 2014;Shetye 1993). The current is also influenced by wider circulation in the Indian Ocean (Schott et al 2009).…”

Section: Water Structure Circulation and Productivitymentioning

confidence: 99%

Marine Dynamics and Productivity in the Bay of Bengal

Kay

Caesar

Janes

2018

Ecosystem Services for Well-Being in Deltas

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Section: Water Structure Circulation and Productivitymentioning

confidence: 99%

Marine Dynamics and Productivity in the Bay of Bengal

Kay

Caesar

Janes

2018

Ecosystem Services for Well-Being in Deltas

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“…ðA k Þ 2 is the fourth-order differential operator (DIANSKY et al, 2002(DIANSKY et al, , 2006 which determines by matrixk ¼ diagfk ii g with nonnegative diagonal elements k ii ; Vol. 169, (2012) Variational Data Assimilation Technique 557 f ¼ ðf 1 ; f 2 Þ; f T ; f S ; f P are given functions describing external sources; g ¼ const.…”

Section: Ocean Primitive Equation Systemmentioning

confidence: 99%

“…Writing problems (8-12) in a r-coordinate system, we can subsequently use suitable numerical methods for their numerical approximation. Some of these methods are described in (MARCHUK, 1987(MARCHUK, , 2005DIANSKY et al, 2006;ZALESNY and RUSAKOV, 2007;ZALESNY and GUSEV, 2009). We should only note that all of the subproblems in the complete numerical model based on (2-7), which was used for numerical calculations in this work, were solved with the aid of a r-coordinate system in accordance with (ZALESNY and GUSEV, 2009).…”

Section: Weak Approximation Of the Ocean Primitive Equation Model By mentioning

confidence: 99%

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Variational Data Assimilation Technique in Mathematical Modeling of Ocean Dynamics

Agoshkov

Zalesny

2011

Pure Appl. Geophys.

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Problems of the variational data assimilation for the primitive equation ocean model constructed at the Institute of Numerical Mathematics, Russian Academy of Sciences are considered. The model has a flexible computational structure and consists of two parts: a forward prognostic model, and its adjoint analog. The numerical algorithm for the forward and adjoint models is constructed based on the method of multicomponent splitting. The method includes splitting with respect to physical processes and space coordinates. Numerical experiments are performed with the use of the Indian Ocean and the World Ocean as examples. These numerical examples support the theoretical conclusions and demonstrate the rationality of the approach using an ocean dynamics model with an observed data assimilation procedure.

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“…The extremum in vertical velocity is more difficult to demonstrate due to the lack of in situ studies. Several evidences has shown that, in contrast to the other equatorial regimes, the upwelling at the Equator in the Indian Ocean is absent due to the meridional orientation of the winds and therefore w = 0 (Schott et al 2001(Schott et al , 2002Tomczak and Godfrey 2003;Diansky et al 2006). This model has already been used by Joyce (1988a,b) to study the volume and heat transport and the meridional velocities across the equatorial Pacific and 4 Atlantic Oceans.…”

Section: Introductionmentioning

confidence: 99%

Wind-Driven Cross-Equatorial Flow in the Indian Ocean

Pérez‐Hernández

Hernández‐Guerra

Joyce

et al. 2012

Journal of Physical Oceanography

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Meridional velocity, mass, and heat transport in the equatorial oceans are difficult to estimate because of the nonapplicability of the geostrophic balance. For this purpose a steady-state model is utilized in the equatorial Indian Ocean using NCEP wind stress and temperature and salinity data from the World Ocean Atlas 2005 (WOA05) and Argo. The results show a Somali Current flowing to the south during the winter monsoon carrying −11.5 ± 1.3 Sv (1 Sv ≡ 106 m3 s−1) and −12.3 ± 0.3 Sv from WOA05 and Argo, respectively. In the summer monsoon the Somali Current reverses to the north transporting 16.8 ± 1.2 Sv and 19.8 ± 0.6 Sv in the WOA05 and Argo results. Transitional periods are considered together and in consequence, there is not a clear Somali Current present in this period. Model results fit with in situ measurements made around the region, although Argo data results are quite more realistic than WOA05 data results.

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High resolution modeling of the monsoon circulation in the Indian Ocean

Cited by 33 publications

References 19 publications

Marine Dynamics and Productivity in the Bay of Bengal

Marine Dynamics and Productivity in the Bay of Bengal

Variational Data Assimilation Technique in Mathematical Modeling of Ocean Dynamics

Wind-Driven Cross-Equatorial Flow in the Indian Ocean

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