Influence of ocean‐atmosphere coupling on the properties of tropical instability waves

Pezzi, Luciano Ponzi

doi:10.1029/2004gl019995

Cited by 54 publications

(59 citation statements)

References 19 publications

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“…They are also stronger and last longer in the Pacific than the Atlantic Ocean due to the stronger equatorial current shear and density gradients in the Pacific [e.g., Chelton et al, 2000]. TIWs are important to ocean dynamics such as eddy-mean flow interaction and mixed-layer processes [e.g., Baturin and Niiler, 1997;Grodsky et al, 2005;Jochum and Murtugudde, 2006;Menkes et al, 2006;Kim et al, 2007], ocean-atmosphere interactions [Hayes et al, 1989;Xie et al, 1998;Liu et al, 2000;Chelton et al, 2001;Yu and Liu, 2003;Pezzi et al, 2004], and marine biogeochemistry [e.g., Feely et al, 1994;Strutton et al, 2001;McCain et al, 2002;Gorgues et al, 2005;Evans et al, 2009].…”

Section: Introductionmentioning

confidence: 99%

The influence of salinity on tropical Atlantic instability waves

et al. 2014

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Sea surface salinity (SSS) data derived from the Aquarius/SAC-D satellite mission are analyzed along with other satellite and in situ data to assess Aquarius' capability to detect tropical instability waves (TIWs) and eddies in the tropical Atlantic Ocean and to investigate the influence that SSS has on the variability. Aquarius data show that the magnitude of SSS anomalies associated with the Atlantic TIWs is 60.25 practical salinity unit, which is weaker than those in the Pacific by 50%. In the central equatorial Atlantic, SSS contribution to the mean meridional density gradient is similar to sea surface temperature (SST) contribution. Consequently, SSS is important to TIW-related surface density anomalies and perturbation potential energy (PPE). In this region, SSS influences surface PPE significantly through the direct effect and the indirect effect associated with SSS-SST covariability. Ignoring SSS effects would underestimate TIW-related PPE by approximately three times in the surface layer. SSS also regulates the seasonality of the TIWs. The borealspring peak of the PPE due to SSS leads that due to SST by about one month. Therefore, SSS not only affects the spatial structure, but the seasonal variability of the TIWs in the equatorial Atlantic. In the northeast Atlantic near the Amazon outflow and the North Brazil Current retroflection region and in the southeast Atlantic near the Congo River outflow, SSS accounts for 80-90% of the contribution to mean meridional density gradient. Not accounting for SSS effect would underestimate surface PPE in these regions by a factor of 10 and 4, respectively.

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Section: Introductionmentioning

confidence: 99%

The influence of salinity on tropical Atlantic instability waves

et al. 2014

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“…Every ENSO event is different and is generated by a subtly different combination of amplifying and damping processes. Long model historical simulations and future projections show that significant variations in ENSO characteristics are possible on -1983-1998(d) 1986-1987, 1990-1991, 1994 El Niño "Modoki" events; and (g) combined events. The middle column (b, e, h) shows the model representations of those types of (random) events in the historical climate model simulations.…”

Section: A El Niño Southern Oscillationmentioning

confidence: 99%

“…The uncertainty is likely due to the enhanced local wave instability triggered by the largely diverged boundarylayer temperature gradients and amplified by land-atmosphere interactions (Tseng et al 2016). [75, While much of the mid-to-high latitude open ocean is typically driven by the atmosphere (e.g., Cayan 1992), oceanic regions dominated by mesoscale eddies and sharp fronts, such as western boundary currents and the Southern Ocean, tend to drive overlying atmospheric processes (e.g., Pezzi et al 2004;Minobe et al 2008;Seo et al 2008b;Small et al 2008;O'Neill et al 2012;Ma et al 2016). The SST anomalies associated with mesoscale eddies or fronts can modify atmospheric stability, surface wind flow patterns, and precipitation.…”

Section: A Land-surface Coupling To the Atmospherementioning

confidence: 99%

Coupled ocean–atmosphere modeling and predictions

Miller¹,

Collins²,

Gualdi³

et al. 2017

j mar res

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Key aspects of the current state of the ability of global and regional climate models to represent dynamical processes and precipitation variations are summarized. Interannual, decadal, and globalwarming timescales, wherein the influence of the oceans is relevant and the potential for predictability is highest, are emphasized. Oceanic influences on climate occur throughout the ocean and extend over land to affect many types of climate variations, including monsoons, the El Niño Southern Oscillation, decadal oscillations, and the response to greenhouse gas emissions. The fundamental ideas of coupling between the ocean-atmosphere-land system are explained for these modes in both global and regional contexts. Global coupled climate models are needed to represent and understand the complicated processes involved and allow us to make predictions over land and sea. Regional coupled climate models are needed to enhance our interpretation of the fine-scale response. The mechanisms by which large-scale, low-frequency variations can influence shorter timescale variations and drive regionalscale effects are also discussed. In this light of these processes, the prospects for practical climate predictability are also presented.

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“…In a coupled ocean-atmosphere system, the atmospheric boundary layer (ABL) almost simultaneously responds to the presence of TIWs and as a feedback it returns its signal to the oceanic surface, which interacts in an opposite way with ocean surface fields (currents and temperature) that affect the oceanic dynamical and thermo-dynamical features (Polito et al, 2001;Pezzi et al, 2004;Seo et al, 2007). The involved ocean-atmosphere coupling leads to a negative feedback at TIW scales.…”

Section: Introductionmentioning

confidence: 99%

Impact of tropical instability waves‐induced SST forcing on the atmosphere in the tropical Pacific, evaluated using CAM5.1

Zhu

Kang

et al. 2014

Atmospheric Science Letters

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A new version of the Community Atmospheric Model, CAM5.1, is used to quantify the impacts of tropical instability waves (TIWs)-induced sea surface temperature (SST TIW ) forcing on the atmosphere over the central-eastern tropical Pacific. Two CAM5.1-based simulations are performed, a control run in which monthly mean climatological SST (SST clim ) field is prescribed as a surface boundary condition, and a perturbation run in which daily varying SST TIW field explicitly extracted from satellite data is superimposed onto the SST clim field to force the CAM5.1. It is illustrated that the additionally imposed SST TIW forcing acts to have a significant effect on TIW-scale variability and mean atmospheric circulation structure over the central-eastern tropical Pacific.

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Influence of ocean‐atmosphere coupling on the properties of tropical instability waves

Cited by 54 publications

References 19 publications

The influence of salinity on tropical Atlantic instability waves

The influence of salinity on tropical Atlantic instability waves

Coupled ocean–atmosphere modeling and predictions

Impact of tropical instability waves‐induced SST forcing on the atmosphere in the tropical Pacific, evaluated using CAM5.1

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