US Navy Operational Global Ocean and Arctic Ice Prediction Systems

Metzger, E. Joseph; Smedstad, Ole Martin; Thoppil, Prasad G.; Hurlburt, Harley E.; Cummings, James; Walcraft, Alan; Zamudio, Luis; Franklin, D. S.; Posey, Pamela G.; Phelps, Michael W; Hogan, Patrick; Bub, Frank L.; DeHaan, Chris

doi:10.5670/oceanog.2014.66

Cited by 203 publications

(138 citation statements)

References 5 publications

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“…In the structured-mesh model community, global and nearglobal ocean models with mesoscale eddy-resolving resolutions have been developed in many groups (e.g., Chassignet et al, 2009;von Storch et al, 2012;Oke et al, 2013;Metzger et al, 2014;Dupont et al, 2015;Iovino et al, 2016), and coupled climate models with eddy-resolving ocean have also been used in practice (e.g., Griffies et al, 2015). Most of the models analyzed in past CORE-II model intercomparison studies have relatively coarse resolution.…”

Section: Unstructured-mesh Modelingmentioning

confidence: 99%

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

et al. 2018

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Abstract. In the framework of developing a global modeling system which can facilitate modeling studies on Arctic Ocean and high-to midlatitude linkage, we evaluate the Arctic Ocean simulated by the multi-resolution Finite Element Sea ice-Ocean Model (FESOM). To explore the value of using high horizontal resolution for Arctic Ocean modeling, we use two global meshes differing in the horizontal resolution only in the Arctic Ocean (24 km vs. 4.5 km). The high resolution significantly improves the model's representation of the Arctic Ocean. The most pronounced improvement is in the Arctic intermediate layer, in terms of both Atlantic Water (AW) mean state and variability. The deepening and thickening bias of the AW layer, a common issue found in coarse-resolution simulations, is significantly alleviated by using higher resolution. The topographic steering of the AW is stronger and the seasonal and interannual temperature variability along the ocean bottom topography is enhanced in the high-resolution simulation. The high resolution also improves the ocean surface circulation, mainly through a better representation of the narrow straits in the Canadian Arctic Archipelago (CAA). The representation of CAA throughflow not only influences the release of water masses through the other gateways but also the circulation pathways inside the Arctic Ocean. However, the mean state and variability of Arctic freshwater content and the variability of freshwater transport through the Arctic gateways appear not to be very sensitive to the increase in resolution employed here. By highlighting the issues that are independent of model resolution, we address that other efforts including the improvement of parameterizations are still required.

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Section: Unstructured-mesh Modelingmentioning

confidence: 99%

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

et al. 2018

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“…All available ocean observations for this model were assimilated using Navy Coupled Ocean Data Assimilation (NCODA). The remaining details of the model setup used here are discussed in Metzger et al (2010Metzger et al ( , 2014 and Thoppil et al (2016).…”

Section: Global Hycommentioning

confidence: 99%

Modeling Salinity Exchanges Between the Equatorial Indian Ocean and the Bay of Bengal

Jensen¹,

Wijesekera²,

Nyadjro³

et al. 2016

Oceanog

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“…During the last decade, an extensive effort has been made to simulate eddying ocean, and different models have been implemented in regional, near-global, and fully global domains (e.g. Maltrud and McClean, 2005;Chassignet et al, 2009;Oke et al, 2013;Drakkar Group, 2014;Metzger et al, 2014;Dupont et al, 2015). In this context, we developed a global eddying configuration, where eddying means that the numerical simulation is eddy-resolving in the majority of deep ocean regions, while it is mostly eddy-permitting on the continental shelves or in weakly stratified polar latitudes.…”

Section: Introductionmentioning

confidence: 99%

A 1/16° eddying simulation of the global NEMO sea-ice–ocean system

et al. 2016

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Abstract. Analysis of a global eddy-resolving simulation using the NEMO general circulation model is presented. The model has 1/16 • horizontal spacing at the Equator, employs two displaced poles in the Northern Hemisphere, and uses 98 vertical levels. The simulation was spun up from rest and integrated for 11 model years, using ERA-Interim reanalysis as surface forcing. Primary intent of this hindcast is to test how the model represents upper ocean characteristics and sea ice properties.Analysis of the zonal averaged temperature and salinity, and the mixed layer depth indicate that the model average state is in good agreement with observed fields and that the model successfully represents the variability in the upper ocean and at intermediate depths. Comparisons against observational estimates of mass transports through key straits indicate that most aspects of the model circulation are realistic. As expected, the simulation exhibits turbulent behaviour and the spatial distribution of the sea surface height (SSH) variability from the model is close to the observed pattern. The distribution and volume of the sea ice are, to a large extent, comparable to observed values.Compared with a corresponding eddy-permitting configuration, the performance of the model is significantly improved: reduced temperature and salinity biases, in particular at intermediate depths, improved mass and heat transports, better representation of fluxes through narrow and shallow straits, and increased global-mean eddy kinetic energy (by ∼ 40 %). However, relatively minor weaknesses still exist such as a lower than observed magnitude of the SSH variability. We conclude that the model output is suitable for broader analysis to better understand upper ocean dynamics and ocean variability at global scales. This simulation represents a major step forward in the global ocean modelling at the Euro-Mediterranean Centre on Climate Change and constitutes the groundwork for future applications to short-range ocean forecasting.

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US Navy Operational Global Ocean and Arctic Ice Prediction Systems

Cited by 203 publications

References 5 publications

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

Modeling Salinity Exchanges Between the Equatorial Indian Ocean and the Bay of Bengal

A 1/16° eddying simulation of the global NEMO sea-ice–ocean system

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US Navy Operational Global Ocean and Arctic Ice Prediction Systems

Cited by 203 publications

References 5 publications

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

Modeling Salinity Exchanges Between the Equatorial Indian Ocean and the Bay of Bengal

A 1/16° eddying simulation of the global NEMO sea-ice–ocean system

Contact Info

Product

Resources

About

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4

A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4