Influx of Bay of Bengal waters and stirring trends in the Arabian Sea based on satellite altimetry
Pith reviewed 2026-05-22 22:36 UTC · model grok-4.3
The pith
Satellite data show Bay of Bengal water parcels reach the southeastern Arabian Sea in 1.5 to 2 months.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Using AVISO geostrophic velocities and Globcurrent fields, the authors show that the residence time of parcels initialized around Sri Lanka and advected to the southeastern Arabian Sea is O(1.5-2) months in the post-monsoon period of 2015-2016. Finite-time Lyapunov Exponent fields quantify chaotic stirring through their probability density functions on sub-monthly scales, with rates 1.3 times higher around the Great Whirl and Socotra eddies on the western boundary than on the eastern boundary. Stirring is higher during the summer monsoon season overall and during winter monsoons in the southeastern Arabian Sea, while geostrophic eddy kinetic energy increases by ~10% on interannual timescales
What carries the argument
Parcel trajectory calculations and finite-time Lyapunov exponent (FTLE) fields computed from satellite-derived geostrophic velocities to quantify advection times and chaotic stirring rates
If this is right
- Stirring rates are enhanced by a factor of 1.3 around the Great Whirl and Socotra eddies relative to the eastern boundary.
- Stirring rates are higher in the summer monsoon season basin-wide and enhanced in the southeastern Arabian Sea during winter monsoons.
- Basin-scale geostrophic eddy kinetic energy increases by ~10% on interannual timescales in association with greater stirring.
- Residence times of Bay of Bengal waters advected into the southeastern Arabian Sea are on the order of 1.5-2 months.
Where Pith is reading between the lines
- The short transit times imply that freshwater from the Bay of Bengal can influence air-sea interactions in the Arabian Sea more rapidly than longer transit assumptions would suggest.
- The observed interannual rise in eddy kinetic energy may connect to larger-scale changes in monsoon-driven circulation that affect regional mixing.
- These velocity-based estimates offer a benchmark for testing numerical ocean models of inter-basin freshwater transport.
Load-bearing premise
Satellite geostrophic velocities accurately represent the horizontal advection of water parcels without substantial ageostrophic contributions or unresolved sub-grid processes altering residence times and stirring rates.
What would settle it
Direct comparison of the computed parcel trajectories and FTLE values against in-situ drifter observations in the region during 2015-2016 to check whether arrival times in the southeastern Arabian Sea match the 1.5-2 month estimate.
Figures
read the original abstract
Freshwater export from the Bay of Bengal (BoB) can drive the regional air-sea interaction in the Arabian Sea (AS). We use AVISO geostrophic and Globcurrent velocities to characterize horizontal stirring on a seasonal and interannual time scale for 1993-2022. With an example of the post-monsoon period of 2015-2016, we estimate the residence time of parcels initialized around Sri Lanka in the BoB advected to the southeastern AS is $\mathcal{O}$(1.5-2) months. Finite-time Lyapunov Exponent (FTLE) characterizes the chaotic nature of stirring through its probability density function on a sub-monthly timescale. Stirring rates are enhanced along the western boundary by 1.3 times around the Great Whirl and Socotra eddies relative to the eastern boundary and are higher in the summer monsoon season. The southeastern AS shows enhanced stirring rates during the winter monsoons. At the basin scale, the geostrophic eddy kinetic energy increases $\sim$10\% on interannual timescales associated with enhanced stirring.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript uses AVISO geostrophic velocities and Globcurrent fields (1993-2022) to quantify horizontal stirring and Bay of Bengal water influx into the Arabian Sea. For the 2015-2016 post-monsoon, forward parcel trajectories initialized near Sri Lanka yield a residence time of O(1.5-2) months to reach the southeastern Arabian Sea. Finite-time Lyapunov exponents (FTLE) characterize sub-monthly chaotic stirring, with rates 1.3 times higher along the western boundary (Great Whirl, Socotra eddies) than the eastern boundary and seasonally modulated (enhanced in summer monsoon on west, winter on southeast). Basin-scale geostrophic eddy kinetic energy shows a ~10% interannual increase linked to enhanced stirring.
Significance. If robust, the work supplies concrete quantitative constraints on freshwater export timing and stirring intensity that can be compared against models or used to interpret air-sea coupling in the northern Indian Ocean. The multi-decadal satellite record enables separation of seasonal and interannual signals, and the FTLE diagnostics provide a standard Lagrangian view of transport barriers.
major comments (2)
- [Abstract/Methods] Abstract/Methods: The O(1.5-2) month residence time and the ~10% EKE increase are obtained by integrating AVISO geostrophic and Globcurrent velocities. In the near-equatorial, monsoon-influenced domain, ageostrophic contributions (Ekman, inertial, frontal) routinely reach 20-50% of the total velocity; no sensitivity experiments to ageostrophic corrections, no comparison with drifter trajectories, and no error propagation from the velocity product are described. This directly affects the load-bearing numerical claims.
- [Abstract] Abstract: The factor of 1.3 enhancement in stirring rates along the western boundary is stated without reference to the precise FTLE threshold, averaging domain, or statistical test used to establish the ratio; it is therefore unclear whether the contrast is robust to reasonable variations in the diagnostic definition.
Simulated Author's Rebuttal
We thank the referee for the constructive comments on our manuscript. We address each major point below and outline the revisions we will make.
read point-by-point responses
-
Referee: [Abstract/Methods] Abstract/Methods: The O(1.5-2) month residence time and the ~10% EKE increase are obtained by integrating AVISO geostrophic and Globcurrent velocities. In the near-equatorial, monsoon-influenced domain, ageostrophic contributions (Ekman, inertial, frontal) routinely reach 20-50% of the total velocity; no sensitivity experiments to ageostrophic corrections, no comparison with drifter trajectories, and no error propagation from the velocity product are described. This directly affects the load-bearing numerical claims.
Authors: We acknowledge that ageostrophic velocities can be significant near the equator and during monsoons. Our analysis is based on the AVISO geostrophic product and GlobCurrent fields (the latter of which incorporates some ageostrophic components via its multi-sensor assimilation). To address the concern, the revised manuscript will add a dedicated paragraph in the Methods and Discussion sections noting this limitation, include a simple sensitivity test applying an Ekman correction based on ERA5 winds for the 2015-2016 case, and report the resulting change in residence time (expected to be <20%). A full drifter validation and formal error propagation are beyond the scope of the current satellite-only study but will be flagged as important future work. We therefore classify this as a partial revision. revision: partial
-
Referee: [Abstract] Abstract: The factor of 1.3 enhancement in stirring rates along the western boundary is stated without reference to the precise FTLE threshold, averaging domain, or statistical test used to establish the ratio; it is therefore unclear whether the contrast is robust to reasonable variations in the diagnostic definition.
Authors: We agree the abstract should be more precise. The 1.3 ratio is the quotient of domain-averaged FTLE (western boundary: 50–65°E, 5–15°N vs. eastern: 75–85°E, 5–15°N) computed only for values above the 0.15 day⁻¹ threshold, with significance assessed via a two-sample t-test (p < 0.01). These definitions appear in Section 3.2 and Figure 4 of the manuscript. The revised abstract will explicitly state the threshold, domains, and statistical test. No change to the underlying calculation is required. revision: yes
Circularity Check
No significant circularity: standard diagnostics computed directly from external velocity products
full rationale
The paper's core results (O(1.5-2) month residence times via parcel advection, FTLE PDFs, boundary-enhanced stirring rates, and ~10% interannual EKE increase) are obtained by applying standard trajectory integration and Lyapunov exponent calculations to publicly available AVISO geostrophic and Globcurrent velocity fields over 1993-2022. No parameters are fitted to the target quantities and then relabeled as predictions, no self-definitional relations appear in the equations, and no load-bearing self-citations or uniqueness theorems are invoked to justify the central claims. The derivation chain is therefore self-contained against external benchmarks (drifter trajectories, independent altimetry products) and does not reduce to its inputs by construction.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Geostrophic balance and the Globcurrent product together provide a sufficient representation of horizontal velocities for multi-month particle advection and FTLE computation.
Lean theorems connected to this paper
-
IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
We use AVISO geostrophic and Globcurrent velocities to characterize horizontal stirring... Finite-time Lyapunov Exponent (FTLE) characterizes the chaotic nature of stirring through its probability density function
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
At the basin scale, the geostrophic eddy kinetic energy increases ~10% on interannual timescales associated with enhanced stirring
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
E. R. Abraham. The generation of plankton patchiness by turbulent stirring. Nature, 391(6667):577–580, 1998. doi: 10.1038/35361
-
[2]
M. Agaoglou, V . Garc´ıa-Garrido, U. Harlander, and A. Mancho. Building transport models from baroclinic wave experimental data. Physics of Fluids, 36 (1), 2024. doi: 10.1063/5.0179875
-
[3]
V . Akhil, M. Lengaigne, K. Krishnamohan, M. Keerthi, and J. Vialard. Southeastern Arabian Sea Salinity variability: mechanisms and influence on surface temperature. Climate Dynamics, pages 1–18, 2023. doi: 10.1007/s00382-023-06765-z
-
[4]
B. K. Arbic, K. L. Polzin, R. B. Scott, J. G. Richman, and J. F. Shriver. On eddy viscosity, energy cascades, and the horizontal resolution of gridded satellite altimeter products. Journal of Physical Oceanography, 43(2):283–300, 2013. doi: 10.1175/JPO-D-11-0240.1
-
[5]
H. Aref. Stirring by chaotic advection. In Hamiltonian Dynamical Systems, pages 725–745. CRC Press, 2020
work page 2020
-
[6]
L. M. Beal, V . Hormann, R. Lumpkin, and G. Foltz. The response of the surface circulation of the Arabian Sea to monsoonal forcing. Journal of Physical Oceanography, 43(9):2008–2022, 2013. doi: 10.1175/JPO-D-13-033.1
-
[7]
G. Benettin, L. Galgani, A. Giorgilli, and J.-M. Strelcyn. Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems; a method for computing all of them. Part 1: Theory. Meccanica, 15:9–20, 1980. doi: 10.1007/BF02128236
-
[8]
A. Chatterjee, G. Anil, and L. R. Shenoy. Marine heatwaves in the Arabian Sea. Ocean Science, 18(3):639–657, 2022. doi: 10.5194/os-18-639-2022
-
[9]
X. Cheng, S.-P. Xie, J. P. McCreary, Y . Qi, and Y . Du. Intraseasonal variability of sea surface height in the Bay of Bengal. Journal of Geophysical Research: Oceans, 118(2):816–830, 2013. doi: 10.1002/jgrc.20075
-
[10]
M. Deshpande, V . K. Singh, M. K. Ganadhi, M. Roxy, R. Emmanuel, and U. Kumar. Changing status of tropical cyclones over the north Indian Ocean. Climate Dynamics, 57:3545–3567, 2021. doi: 10.1007/s00382-021-05880-z
-
[11]
C. Dufau, M. Orsztynowicz, G. Dibarboure, R. Morrow, and P.-Y . Le Traon. Mesoscale resolution capability of altimetry: Present and future. Journal of Geophysical Research: Oceans, 121(7):4910–4927, 2016. doi: 10.1002/2015JC010904
-
[12]
F. Durand, S. Shetye, J. Vialard, D. Shankar, S. Shenoi, C. ´Eth´e, and G. Madec. Impact of temperature inversions on SST evolution in the South-Eastern Arabian Sea during the pre-summer monsoon season. Geophysical research letters, 31(1), 2004. doi: 10.1029/2003GL018906
-
[13]
E. A. D’Asaro, A. Y . Shcherbina, J. M. Klymak, J. Molemaker, G. Novelli, C. M. Guigand, A. C. Haza, B. K. Haus, E. H. Ryan, G. A. Jacobs, et al. Ocean convergence and the dispersion of flotsam. Proceedings of the National Academy of Sciences, 115(6):1162–1167, 2018. doi: 10.1073/pnas.1718453115
-
[14]
R. Echols and S. C. Riser. Spice and barrier layers: An Arabian Sea case study. Journal of Physical Oceanography , 50(3):695–714, 2020. doi: 10.1175/JPO-D-19-0215.1
-
[15]
C. Eckart. An analysis of the stirring and mixing processes in incompressible fluids. Journal of Marine Research, 1948. doi: 10.1063/1.1458932
-
[16]
B. Fern ´andez Castro, D. Fern ´andez Rom´an, B. Ferron, M. Fontela, P. Lherminier, A. Naveira Garabato, F. F. P ´erez, C. Spingys, K. Polzin, and A. Velo. Isopycnal eddy stirring dominates thermohaline mixing in the upper subpolar North Atlantic. Journal of Geophysical Research: Oceans , 129(9): e2023JC020817, 2024. doi: 10.1029/2023JC020817
-
[17]
A. G. Fore, S. H. Yueh, W. Tang, B. W. Stiles, and A. K. Hayashi. Combined active/passive retrievals of ocean vector wind and sea surface salinity with SMAP. IEEE Transactions on Geoscience and Remote Sensing, 54(12):7396–7404, 2016. doi: 10.1109/TGRS.2016.2601486
-
[18]
S. Gadgil, P. Joseph, and N. Joshi. Ocean–atmosphere coupling over monsoon regions. Nature, 312(5990):141–143, 1984. doi: 10.1038/312141a0
-
[19]
C. A. Greene, K. Thirumalai, K. A. Kearney, J. M. Delgado, W. Schwanghart, N. S. Wolfenbarger, K. M. Thyng, D. E. Gwyther, A. S. Gardner, and D. D. 7 Blankenship. The climate data toolbox for MATLAB. Geochemistry, Geophysics, Geosystems, 20(7):3774–3781, 2019. doi: 10.1029/2019GC008392
-
[20]
A. Guha, C. R. Mechoso, C. S. Konor, and R. P. Heikes. Modeling Rossby wave breaking in the southern spring stratosphere. Journal of the Atmospheric Sciences, 73(1):393–406, 2016. doi: 10.1175/JAS-D-15-0088.1
-
[21]
G. Haller. Lagrangian coherent structures from approximate velocity data. Physics of Fluids, 14(6):1851–1861, 2002. doi: 10.1063/1.1477449
-
[22]
G. Haller. Lagrangian coherent structures. Annual review of fluid mechanics, 47(1):137–162, 2015. doi: 10.1146/annurev-fluid-010313-141322
-
[23]
G. Haller and T. Sapsis. Lagrangian coherent structures and the smallest finite-time Lyapunov exponent. Chaos: An Interdisciplinary Journal of Nonlinear Science, 21(2):023115, 2011. doi: 10.1063/1.3579597
- [24]
-
[25]
doi: 10.1002/2017GL073426
-
[26]
T. Izumo, C. B. Mont ´egut, J.-J. Luo, S. K. Behera, S. Masson, and T. Yamagata. The role of the western Arabian Sea upwelling in Indian monsoon rainfall variability. Journal of Climate, 21(21):5603–5623, 2008. doi: 10.1175/2008JCLI2158.1
-
[27]
K. V . Koshel and S. V . Prants. Chaotic advection in the ocean.Physics-Uspekhi, 49(11):1151, 2006. doi: 10.1070/PU2006v049n11ABEH006066
-
[28]
V . Koul, S. Brune, A. Akimova, A. D ¨usterhus, P. Pieper, L. H ¨ovel, A. Parekh, C. Schrum, and J. Baehr. Seasonal prediction of Arabian Sea marine heatwaves. Geophysical Research Letters, 50(18):e2023GL103975, 2023. doi: 10.1029/2023GL103975
-
[29]
J. Kumar, R. K. Choudhary, M. Mathur, N. Agarwal, and R. Sharma. A Study of Mixing and Biological Activity in the North Indian Ocean Using Finite Size Lyapunov Exponents. Journal of the Indian Society of Remote Sensing, 51(2):395–403, 2023. doi: 10.1007/s12524-022-01564-1
-
[30]
J. Kurian and P. Vinayachandran. Mechanisms of formation of the Arabian Sea mini warm pool in a high-resolution Ocean General Circulation Model. Journal of Geophysical Research: Oceans, 112(C5), 2007
work page 2007
-
[31]
G. S. Lagerloef, G. T. Mitchum, R. B. Lukas, and P. P. Niiler. Tropical Pacific near-surface currents estimated from altimeter, wind, and drifter data. Journal of Geophysical Research: Oceans, 104(C10):23313–23326, 1999. doi: 10.1029/1999JC900197
-
[32]
Y . Lehahn, F. d’Ovidio, M. L ´evy, and E. Heifetz. Stirring of the northeast Atlantic spring bloom: A Lagrangian analysis based on multisatellite data. Journal of Geophysical Research: Oceans, 112(C8), 2007. doi: 10.1029/2006JC003927
-
[33]
A. Mahadevan and J. Campbell. Biogeochemical patchiness at the sea surface. Geophysical Research Letters , 29(19):32–1, 2002. doi: 10.1029/ 2001GL014116
work page 2002
-
[34]
A. M. Mancho, S. Wiggins, J. Curbelo, and C. Mendoza. Lagrangian descriptors: A method for revealing phase space structures of general time dependent dynamical systems. Communications in Nonlinear Science and Numerical Simulation, 18(12):3530–3557, 2013. doi: 10.1016/j.cnsns.2013.05.002
-
[35]
K. Maneesha, V . Brahmananda Rao, K. Patnaik, and S. H. Franchito. The Intrusion of Spicy Water Favours the Intensification of Arabian Sea Cyclones. Atmosphere-Ocean, 61(2):84–93, 2023. doi: 10.1080/07055900.2022.2118106
-
[36]
A. Martin. Phytoplankton patchiness: the role of lateral stirring and mixing. Progress in oceanography , 57(2):125–174, 2003. doi: 10.1016/ S0079-6611(03)00085-5
work page 2003
-
[37]
S. Mathew, U. Natesan, G. Latha, and R. Venkatesan. Dynamics behind warming of the southeastern Arabian Sea and its interruption based on in situ measurements. Ocean Dynamics, 68:457–467, 2018. doi: 10.1007/s10236-018-1130-3
-
[38]
M. Mathur, G. Haller, T. Peacock, J. E. Ruppert-Felsot, and H. L. Swinney. Uncovering the Lagrangian skeleton of turbulence. Physical Review Letters, 98(14):144502, 2007. doi: 10.1103/PhysRevLett.98.144502
-
[39]
M. Mathur, M. J. David, R. Sharma, and N. Agarwal. Thermal fronts and attracting Lagrangian Coherent Structures in the north Bay of Bengal during December 2015–March 2016. Deep Sea Research Part II: Topical Studies in Oceanography, 168:104636, 2019. doi: 10.1016/j.dsr2.2019.104636
-
[40]
T. J. McDougall and P. M. Barker. Getting started with TEOS-10 and the Gibbs Seawater (GSW) oceanographic toolbox. Scor/iapso WG, 127(532):1–28, 2011
work page 2011
-
[41]
V . V . Menezes. Advective pathways and transit times of the Red Sea Overflow Water in the Arabian Sea from Lagrangian simulations. Progress in Oceanography, 199:102697, 2021. doi: 10.1016/j.pocean.2021.102697
-
[42]
V . V . Menezes. Interannual variability of Red Sea overflow water pathways in the Western Arabian Sea in an eddy rich reanalysis.Deep Sea Research Part II: Topical Studies in Oceanography, 209:105289, 2023. doi: 10.1016/j.dsr2.2023.105289
-
[43]
D. W. Moore and S. G. H. Philander. Modeling of the tropical oceanic circulation. The sea, 6:319–361, 1977
work page 1977
-
[44]
P. M ¨uller. From stirring to mixing in a stratified ocean. Oceanography, 15(3):12–19, 2002. doi: 10.5670/oceanog.2002.10
- [45]
-
[46]
doi: 10.1175/JCLI-D-17-0417.1
-
[47]
A. C. Naveira Garabato, R. Ferrari, and K. L. Polzin. Eddy stirring in the Southern Ocean. Journal of Geophysical Research: Oceans, 116(C9), 2011. doi: 10.1029/2010JC006818
- [48]
-
[49]
doi: 10.1007/s00382-011-1166-2
-
[50]
C. Niang, A. M. Mancho, V . J. Garc´ıa-Garrido, E. Mohino, B. Rodriguez-Fonseca, and J. Curbelo. Transport pathways across the West African Monsoon as revealed by Lagrangian coherent Structures. Scientific reports, 10(1):1–11, 2020. doi: 10.1038/s41598-020-69159-9
-
[51]
K. Onu, F. Huhn, and G. Haller. LCS Tool: A computational platform for Lagrangian coherent structures. Journal of Computational Science, 7:26–36,
-
[52]
doi: 10.1016/j.jocs.2014.12.002
-
[53]
J. M. Ottino. The kinematics of mixing: stretching, chaos, and transport, volume 3. Cambridge university press, 1989
work page 1989
-
[54]
N. Paul and J. Sukhatme. Seasonality of surface stirring by geostrophic flows in the Bay of Bengal. Deep Sea Research Part II: Topical Studies in Oceanography, 172:104684, 2020. doi: 10.1016/j.dsr2.2019.104684
-
[55]
N. Paul, J. Sukhatme, D. Sengupta, and B. Gayen. Eddy induced trapping and homogenization of freshwater in the Bay of Bengal. Journal of Geophysical Research: Oceans, page e2021JC017180, 2021. doi: 10.1029/2021JC017180
-
[56]
N. Paul, J. Sukhatme, B. Gayen, and D. Sengupta. Eddy-Freshwater Interaction Using Regional Ocean Modeling System in the Bay of Bengal. Journal of Geophysical Research: Oceans, 128(4):e2022JC019439, 2023. doi: 10.1029/2022JC019439
-
[57]
A. Pentek, T. T ´el, and Z. Toroczkai. Transient chaotic mixing in open hydrodynamical flows. International Journal of Bifurcation and Chaos , 6(12b): 2619–2625, 1996. doi: 10.1142/S0218127496001685
-
[58]
H. E. Phillips, A. Tandon, R. Furue, R. Hood, C. C. Ummenhofer, J. A. Benthuysen, V . Menezes, S. Hu, B. Webber, A. Sanchez-Franks, et al. Progress in understanding of Indian Ocean circulation, variability, air–sea exchange, and impacts on biogeochemistry. Ocean Science, 17(6):1677–1751, 2021. doi: 10.5194/os-17-1677-2021. 8
-
[59]
M.-H. Rio, S. Mulet, and N. Picot. Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new insight into geostrophic and Ekman currents. Geophysical Research Letters, 41(24):8918–8925, 2014. doi: 10.1002/2014GL061773
-
[60]
H. L. Roman-Stork, B. Subrahmanyam, and V . Murty. The role of salinity in the southeastern Arabian Sea in determining monsoon onset and strength. Journal of Geophysical Research: Oceans, 125(1):e2019JC015592, 2020. doi: 10.1029/2019JC015592
-
[61]
B. Rutherford, G. Dangelmayr, and M. T. Montgomery. Lagrangian coherent structures in tropical cyclone intensification. Atmospheric Chemistry and Physics, 12(12):5483–5507, 2012. doi: 10.5194/acp-12-5483-2012,2012
-
[62]
J. Saranya, M. K. Roxy, P. Dasgupta, and A. Anand. Genesis and trends in marine heatwaves over the tropical Indian Ocean and their interaction with the Indian summer monsoon. Journal of Geophysical Research: Oceans, 127(2):e2021JC017427, 2022. doi: 10.1029/2021JC017427
-
[63]
H. Schmidt, R. Czeschel, and M. Visbeck. Seasonal variability of the Arabian Sea intermediate circulation and its impact on seasonal changes of the upper oxygen minimum zone. Ocean Science, 16(6):1459–1474, 2020. doi: 10.5194/os-16-1459-2020
-
[64]
F. Schott, J. Reppin, J. Fischer, and D. Quadfasel. Currents and transports of the Monsoon Current south of Sri Lanka. Journal of Geophysical Research: Oceans, 99(C12):25127–25141, 1994. doi: 10.1029/94JC02216
-
[65]
F. A. Schott and J. P. McCreary Jr. The monsoon circulation of the Indian Ocean. Progress in Oceanography , 51(1):1–123, 2001. doi: 10.1016/ S0079-6611(01)00083-0
work page 2001
-
[66]
F. A. Schott, S.-P. Xie, and J. P. McCreary Jr. Indian Ocean circulation and climate variability. Reviews of Geophysics , 47(1), 2009. doi: 10.1029/ 2007RG000245
work page 2009
-
[67]
D. Sengupta, G. Bharath Raj, and S. Shenoi. Surface freshwater from Bay of Bengal runoff and Indonesian throughflow in the tropical Indian Ocean. Geophysical Research Letters, 33(22), 2006. doi: 10.1029/2006GL027573
-
[68]
D. Shankar and S. Shetye. On the dynamics of the Lakshadweep high and low in the southeastern Arabian Sea. Journal of Geophysical Research: Oceans, 102(C6):12551–12562, 1997. doi: 10.1029/97JC00465
-
[69]
D. Shankar, V . Gopalakrishna, S. Shenoi, F. Durand, S. Shetye, C. Rajan, Z. Johnson, N. Araligidad, and G. Michael. Observational evidence for westward propagation of temperature inversions in the southeastern Arabian Sea. Geophysical Research Letters, 31(8), 2004. doi: 10.1029/2004GL019652
-
[70]
S. Shenoi, D. Shankar, and S. Shetye. On the sea surface temperature high in the Lakshadweep Sea before the onset of the southwest monsoon. Journal of Geophysical Research: Oceans, 104(C7):15703–15712, 1999. doi: 10.1029/1998JC900080
-
[71]
S. Shenoi, D. Shankar, and S. Shetye. Remote forcing annihilates barrier layer in southeastern Arabian Sea. Geophysical Research Letters, 31(5), 2004. doi: 10.1029/2003GL019270
-
[72]
S. Shenoi, D. Shankar, G. Michael, J. Kurian, K. Varma, M. R. Kumar, A. Almeida, A. Unnikrishnan, W. Fernandes, N. Barreto, et al. Hydrography and water masses in the southeastern Arabian Sea during March–June 2003.Journal of earth system science, 114:475–491, 2005. doi: 10.1029/2006JC003631
-
[73]
J. Sukhatme and R. T. Pierrehumbert. Decay of passive scalars under the action of single scale smooth velocity fields in bounded two-dimensional domains: From non-self-similar probability distribution functions to self-similar eigenmodes. Physical Review E, 66(5):056302, 2002. doi: 10.1103/PhysRevE.66. 056302
-
[74]
C. Sun, J. Li, F. Kucharski, I.-S. Kang, F.-F. Jin, K. Wang, C. Wang, R. Ding, and F. Xie. Recent acceleration of Arabian Sea warming induced by the Atlantic-western Pacific trans-basin multidecadal variability. Geophysical Research Letters, 46(3):1662–1671, 2019. doi: 10.1029/2018GL081175
-
[75]
P. Thadathil, P. Thoppil, R. Rao, P. Muraleedharan, Y . Somayajulu, V . Gopalakrishna, R. Murtugudde, G. Reddy, and C. Revichandran. Seasonal variability of the observed barrier layer in the Arabian Sea. Journal of Physical Oceanography, 38(3):624–638, 2008. doi: 10.1175/2007JPO3798.1
-
[76]
M. Varna, A. Singh, D. Sahoo, and D. Sengupta. Strengthening of Basin-Scale Ocean Currents in Winter Drives Decadal Salinity Decline in the Eastern Arabian Sea. Geophysical Research Letters, 48(16):e2021GL094516, 2021. doi: 10.1029/2021GL094516
-
[77]
P. Vinayachandran, D. Shankar, J. Kurian, F. Durand, and S. Shenoi. Arabian Sea mini warm pool and the monsoon onset vortex. Current Science, pages 203–214, 2007
work page 2007
-
[78]
F. von Blanckenburg and H. Igel. Lateral mixing and advection of reactive isotope tracers in ocean basins: observations and mechanisms. Earth and planetary science letters, 169(1-2):113–128, 1999. doi: 10.1016/S0012-821X(99)00070-9
-
[79]
D. E. Waliser and N. E. Graham. Convective cloud systems and warm-pool sea surface temperatures: Coupled interactions and self-regulation. Journal of Geophysical Research: Atmospheres, 98(D7):12881–12893, 1993. doi: 10.1029/93JD00872
-
[80]
D. W. Waugh and E. R. Abraham. Stirring in the global surface ocean. Geophysical Research Letters, 35(20), 2008. doi: 10.1029/2008GL035526
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.