scholarly journals Subsurface ocean argon disequilibrium reveals the equatorial Pacific shadow zone

2006 ◽  
Vol 33 (18) ◽  
pp. n/a-n/a ◽  
Author(s):  
Eric Gehrie ◽  
David Archer ◽  
Steven Emerson ◽  
Charles Stump ◽  
Cara Henning
2017 ◽  
Vol 30 (17) ◽  
pp. 6611-6627 ◽  
Author(s):  
Kang Xu ◽  
Rui Xin Huang ◽  
Weiqiang Wang ◽  
Congwen Zhu ◽  
Riyu Lu

The interannual fluctuations of the equatorial thermocline are usually associated with El Niño activity, but the linkage between the thermocline modes and El Niño is still under debate. In the present study, a mode function decomposition method is applied to the equatorial Pacific thermocline, and the results show that the first two dominant modes (M1 and M2) identify two distinct characteristics of the equatorial Pacific thermocline. The M1 reflects a basinwide zonally tilted thermocline related to the eastern Pacific (EP) El Niño, with shoaling (deepening) in the western (eastern) equatorial Pacific. The M2 represents the central Pacific (CP) El Niño, characterized by a V-shaped equatorial Pacific thermocline (i.e., deep in the central equatorial Pacific and shallow on both the western and eastern boundaries). Furthermore, both modes are stable and significant on the interannual time scale, and manifest as the major feature of the thermocline fluctuations associated with the two types of El Niño events. As good proxies of EP and CP El Niño events, thermocline-based indices clearly reveal the inherent characteristics of subsurface ocean responses during the evolution of El Niño events, which are characterized by the remarkable zonal eastward propagation of equatorial subsurface ocean temperature anomalies, particularly during the CP El Niño. Further analysis of the mixed layer heat budget suggests that the air–sea interactions determine the establishment and development stages of the CP El Niño, while the thermocline feedback is vital for its further development. These results highlight the key influence of equatorial Pacific thermocline fluctuations in conjunction with the air–sea interactions, on the CP El Niño.


2020 ◽  
Author(s):  
Xiaohui Tang ◽  
Fan Wang ◽  
Yilong Lyu

<p>Based on direct current measurements by ADCP moorings conducted during 2014-2018, seasonal-to-interannual variabilities of the Western Equatorial Pacific currents in different depth layers are analyzed. GODAS, Tropflux and NCEP reanalysis2 data are used to study the climatological factors influencing the current variabilities. The results show that both Equatorial Under Current (EUC) and Equatorial Intermediate Current (EIC) have significant seasonal-to-interannual variabilities. Both are closely related to the ENSO cycle, but through different mechanisms. Variations of the zonal velocity of Western Pacific EUC have noticeable correlations with subtropical SST, SLP and wind velocity, suggesting an influence of the Pacific meridional mode. The EIC, however, changes basically in corresponding to the Pacific zonal mode (ie. canonical ENSO mode). ENSO signals of the Eastern Equatorial Pacific might impact the Western Pacific EIC through vertical propagation of Rossby wave. This study gives an example on how atmospheric signals influence the subsurface ocean currents up to 800m depth.</p>


2009 ◽  
Vol 27 (3) ◽  
pp. 600-606 ◽  
Author(s):  
Jingzhi Su ◽  
Renhe Zhang ◽  
Tim Li ◽  
Xinyao Rong

2006 ◽  
Vol 19 (11) ◽  
pp. 2325-2346 ◽  
Author(s):  
W. G. Large ◽  
G. Danabasoglu

Abstract The largest and potentially most important ocean near-surface biases are examined in the Community Climate System Model coupled simulation of present-day conditions. They are attributed to problems in the component models of the ocean or atmosphere, or both. Tropical biases in sea surface salinity (SSS) are associated with precipitation errors, with the most striking being a band of excess rainfall across the South Pacific at about 8°S. Cooler-than-observed equatorial Pacific sea surface temperature (SST) is necessary to control a potentially catastrophic positive feedback, involving precipitation along the equator. The strength of the wind-driven gyres and interbasin exchange is in reasonable agreement with observations, despite the generally too strong near-surface winds. However, the winds drive far too much transport through Drake Passage [>190 Sv (1 Sv ≡ 106 m3 s−1)], but with little effect on SST and SSS. Problems with the width, separation, and location of western boundary currents and their extensions create large correlated SST and SSS biases in midlatitudes. Ocean model deficiencies are suspected because similar signals are seen in uncoupled ocean solutions, but there is no evidence of serious remote impacts. The seasonal cycles of SST and winds in the equatorial Pacific are not well represented, and numerical experiments suggest that these problems are initiated by the coupling of either or both wind components. The largest mean SST biases develop along the eastern boundaries of subtropical gyres, and the overall coupled model response is found to be linear. In the South Atlantic, surface currents advect these biases across much of the tropical basin. Significant precipitation responses are found both in the northwest Indian Ocean, and locally where the net result is the loss of an identifiable Atlantic intertropical convergence zone, which can be regained by controlling the coastal temperatures and salinities. Biases off South America and Baja California are shown to significantly degrade precipitation across the Pacific, subsurface ocean properties on both sides of the equator, and the seasonal cycle of equatorial SST in the eastern Pacific. These signals extend beyond the reach of surface currents, so connections via the atmosphere and subsurface ocean are implicated. Other experimental results indicate that the local atmospheric forcing is only part of the problem along eastern boundaries, with the representation of ocean upwelling another likely contributor.


Author(s):  
M.F. LAMB, ◽  
J.C. HENDEE, ◽  
R. WANNINKHOF, ◽  
R.A. FEELY, ◽  
F.J. MILLERO, ◽  
...  

2015 ◽  
Vol 74 (10) ◽  
pp. 865-875
Author(s):  
V. A. Kabanov ◽  
G. M. Morgun ◽  
V. B. Sinitski ◽  
I.S. Tourgenev

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