Eddy Dynamics in a Primitive Equation Model: Sensitivity to Horizontal Resolution and Friction

Böning, Claus W.; Budich, Reinhard

doi:10.1175/1520-0485(1992)022<0361:ediape>2.0.co;2

Cited by 143 publications

(93 citation statements)

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“…The energy transfer between the mean and eddy potential and kinetic energies could be illustrated by the four-box energy diagram (Lorenz 1955;Böning and Budich 1992;Beckmann et al 1994). In the SCS, this method has been well applied to investigate the formation of intraseasonal sea-level variability (Zhuang et al 2010b).…”

Section: Energy Transfer Induced By Kuroshio Instabilitymentioning

confidence: 99%

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Evolution of an anticyclonic eddy southwest of Taiwan

Wang

et al. 2013

Ocean Dynamics

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Satellite images of sea-surface temperature, surface chlorophyll a concentration, and sea-level anomaly, together with ocean reanalysis data of Asia and Indian-Pacific Ocean (AIPOcean1.0), are utilized to study the three-dimensional characteristics and evolution of an anticyclonic warm eddy adjacent to the southwest coast of Taiwan during October and November 2006. Originated from the Kuroshio intrusion in the Luzon Strait, but unlike previously found westward moving anticyclonic eddies (AE) in the northeastern South China Sea, this AE was so close to the Taiwan coast and stayed where it was formed for over 1 month until it dissipated. Energy analysis is utilized to study the evolution process of the AE, and it shows that the barotropic instability (BTI) and baroclinic instability introduced by the Kuroshio intrusion flow appear to be the main energy sources for the AE. Periodical enhancement/relaxation of local northeasterly monsoon and its associated negative wind stress curl modify the current patterns in this region, reinforce the intraseasonal variability of the Kuroshio intrusion flow, and act together with Kuroshio to form the AE. Eddies detected from AIPOcean1.0 data also show that AEs are most likely to be generated southwest of Taiwan during the transition period of summer monsoon to winter monsoon, and generally, the BTI of Kuroshio intrusion contributes more than the direct wind stress work to the increase of the eddy kinetic energy for the generation and growth of the AEs.

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Section: Energy Transfer Induced By Kuroshio Instabilitymentioning

confidence: 99%

“…Eddy kinetic energy (EKE) and eddy available potential energy (EPE) per unit mass are defined as Böning and Budich (1992):…”

Section: Energy Transfer Induced By Kuroshio Instabilitymentioning

confidence: 99%

Evolution of an anticyclonic eddy southwest of Taiwan

Wang

et al. 2013

Ocean Dynamics

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“…Böning and Budich, 1992;Beckmann et al, 1994;Böning and Bryan, 1996;Dengg et al, 1996;Haidvogel et al, 2000;Gulev et al, 2007;DYNAMO Group, 1997). Eddy-admitting models are also expected to be beneficial when coupled to the atmosphere (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales

et al. 2010

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Abstract. Four global ocean/sea-ice simulations driven by the same realistic 47-year daily atmospheric forcing were performed by the DRAKKAR group at 2 • , 1 • , 1 2• , and 1 4• resolutions. Simulated mean sea-surface heights (MSSH) and sea-level anomalies (SLA) are collocated over the period 1993-2004 onto the AVISO dataset. MSSH fields are compared with an inverse estimate. SLA datasets are filtered and compared over various time and space scales with AVISO regarding three characteristics: SLA standard deviations, spatial correlations between SLA variability maps, and temporal correlations between observed and simulated bandpassed filtered local SLA timeseries. Beyond the 2 • -1 • transition whose benefits are moderate, further increases in resolution and associated changes in subgrid scale parameterizations simultaneously induce (i) strong increases in SLA standard deviations, (ii) strong improvements in the spatial distribution of SLA variability, and (iii) slight decreases in temporal correlations between observed and simulation SLA timeseries. These 3 effects are not only clear on mesoscale (14-180 days) and quasi-annual (5-18 months) fluctuations, but also on the slower (interannual), large-scale variability ultimately involved in ocean-atmosphere coupled processes. Most SLA characteristics are monotonically affected by successive resolution increases, but irregularly and with a strong dependance on frequency and latitude. Benefits of enhanced resolution are greatest in the 1 • -1 2• and 1 2• -1 4• transitions, in the 14-180 day range, and within eddy-active mid-and highlatitude regions. In the real ocean, most eddy-active areas areCorrespondence to: T. Penduff (thierry.penduff@legi.grenoble-inp.fr) characterized by a strong SLA variability at all timescales considered here; this localized, broad-banded temporal variability is only captured at 1 4• resolution.

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“…For instance, Semtner and Chervin (1992) talk of `eddy deserts' . The situation is improved with increased resolution (Boning and Budich, 1992)_ Areas of high eddy energy are found in western boundary currents, in the ACC, and in the vicinity of major topographic features . One of the most eddy-active regions is the Agulhas Current retroflection zone .…”

Section: Transient Motionmentioning

confidence: 99%