The Impact of Horizontal Resolution on Energy Transfers in Global Ocean Models

Kjellsson, Joakim; Zanna, Laure

doi:10.3390/fluids2030045

Cited by 51 publications

(57 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time-averaged spectral density of kinetic energy (Γ KE ) for the El Niño (2014-2015) period in the 2.5 km model (Figure 3) as calculated for Region D of Figure 1 shows that there is more variance in the kinetic energy at all wavenumbers. This result is similar to what Kjellsson and Zanna (2017) found in global models and raises the possibility that the barotropization process is weaker in the 8 km model, resulting in a more baroclinic flow with reduced conversion of energy from potential to kinetic.…”

Section: Mean Dynamical Conditionssupporting

confidence: 87%

Energy Transfer in the Western Tropical Pacific

Zedler¹,

Powell²,

Qiu³

et al. 2019

Oceanog

View full text Add to dashboard Cite

show abstract

Section: Mean Dynamical Conditionssupporting

confidence: 87%

Energy Transfer in the Western Tropical Pacific

Zedler¹,

Powell²,

Qiu³

et al. 2019

Oceanog

View full text Add to dashboard Cite

show abstract

“…Otherwise, for example with vertically adaptive grids, the change in volume of the mesh must be considered, which is currently not implemented in Parcels. Ignoring this term in vertically adaptive grids would lead to errors on the order of 1 % (Kjellsson and Zanna, 2017).…”

Section: -D Fieldmentioning

confidence: 99%

“…Critchell and Lambrechts, 2016) to regional (e.g. Kubota, 1994) or global scales (e.g. Maximenko et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The Parcels v2.0 Lagrangian framework: new field interpolation schemes

2019

View full text Add to dashboard Cite

Abstract. With the increasing number of data produced by numerical ocean models, so increases the need for efficient tools to analyse these data. One of these tools is Lagrangian ocean analysis, where a set of virtual particles is released and their dynamics are integrated in time based on fields defining the ocean state, including the hydrodynamics and biogeochemistry if available. This popular methodology needs to adapt to the large variety of models producing these fields at different formats. This is precisely the aim of Parcels, a Lagrangian ocean analysis framework designed to combine (1) a wide flexibility to model particles of different natures and (2) an efficient implementation in accordance with modern computing infrastructure. In the new Parcels v2.0, we implement a set of interpolation schemes to read various types of discretized fields, from rectilinear to curvilinear grids in the horizontal direction, from z to s levels in the vertical direction and using grid staggering with the Arakawa A, B and C grids. In particular, we develop a new interpolation scheme for a three-dimensional curvilinear C grid and analyse its properties. Parcels v2.0 capabilities, including a suite of meta-field objects, are then illustrated in a brief study of the distribution of floating microplastic in the northwest European continental shelf and its sensitivity to various physical processes.

show abstract

“…). Furthermore, the magnitude of the spatial inverse cascade (that is, kinetic energy flux from small to large scale) increases as resolution increases (Kjellsson and Zanna, ), influencing jet dynamics in the Gulf Stream, Kuroshio and Antarctic circumpolar regions. The influence of resolved eddies also increases the surface fluxes out of the ocean in the same regions (Roberts et al.…”

Section: Diversity Of Ocean Ensembles and Uncertaintymentioning

confidence: 99%

Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions

Zanna

Brankart

Huber

et al. 2018

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

The ocean plays an important role in the climate system on time-scales of weeks to centuries. Despite improvements in ocean models, dynamical processes involving multiscale interactions remain poorly represented, leading to errors in forecasts. We present recent advances in understanding, quantifying, and representing physical and numerical sources of uncertainty in novel regional and global ocean ensembles at different horizontal resolutions. At coarse resolution, uncertainty in 21st century projections of the upper overturning cell in the Atlantic is mostly a result of buoyancy fluxes, while the uncertainty in projections of the bottom cell is driven equally by both wind and buoyancy flux uncertainty. In addition, freshwater and heat fluxes are the largest contributors to Atlantic Ocean heat content regional projections and their uncertainties, mostly as a result of uncertain ocean circulation projections. At both coarse and eddy-permitting resolutions, unresolved stochastic temperature and salinity fluctuations can lead to significant changes in large-scale density across the Gulf Stream front, therefore leading to major changes in large-scale transport. These perturbations can have an impact on the ensemble spread on monthly time-scales and subsequently interact nonlinearly with the dynamics of the flow, generating chaotic variability on multiannual time-scales. In the Gulf Stream region, the ratio of chaotic variability to atmospheric-forced variability in meridional heat transport is larger than 50% on time-scales shorter than 2 years, while between 40 and 48 • S the ratio exceeds 50% on on time-scales up to 28 years. Based on these simulations, we show that air-sea interaction and ocean subgrid eddies remain an important source of error for simulating and predicting ocean circulation, sea level, and heat uptake on a range of spatial and temporal scales. We discuss how further refinement of these ensembles can help us assess the relative importance of oceanic versus atmospheric uncertainty in weather and climate.

show abstract

The Impact of Horizontal Resolution on Energy Transfers in Global Ocean Models

Cited by 51 publications

References 65 publications

Energy Transfer in the Western Tropical Pacific

Energy Transfer in the Western Tropical Pacific

The Parcels v2.0 Lagrangian framework: new field interpolation schemes

Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions

Contact Info

Product

Resources

About