Reduced Sea Ice Production Due to Upwelled Oceanic Heat Flux in Prydz Bay, East Antarctica

Guo, Guijun; Shi, Jiuxin; Gao, Libao; Tamura, Takeshi; Williams, Guy D.

doi:10.1029/2018gl081463

Cited by 43 publications

(45 citation statements)

References 30 publications

(59 reference statements)

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“…CDW is held back from entering the continental shelf in this region by the Antarctic Slope Front (in agreement with, e.g Guo et al, 2019, their. Fig.…”

supporting

confidence: 87%

The Whole Antarctic Ocean Model (WAOM v1.0): Development and Evaluation

Richter

Gwyther

Naughten

2020

Preprint

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Abstract. The Regional Ocean Modeling System (ROMS), including an ice shelf component, has been applied on a circum-Antarctic domain to derive estimates of ice shelf basal melting. Significant improvements made compared to previous models of this scale are the inclusion of tides and a horizontal spatial resolution of 2 km, which is sufficient to resolve onshelf heat transport by bathymetric troughs and eddy scale circulation. We run the model with ocean-atmosphere-sea ice conditions from the year 2007, to represent nominal present day climate. We force the ocean surface with buoyancy fluxes derived from sea ice concentration observations and wind stress from ERA-Interim atmospheric reanalysis. At the northern boundaries ocean conditions are derived from the ECCO2 reanalysis and tides are incorporated as sea surface height and barotropic currents. The accuracy of tidal height signals close to the coast is comparable to those simulated from widely-used barotropic tide models, while off-shelf hydrography agrees well with the Southern Ocean State Estimate (SOSE) model. On the shelf, most details of ice shelf-ocean interaction are consistent with results from regional modelling and observational studies, although a paucity of observational data (particularly taken during 2007) prohibits a full verification. We conclude that our improved model is well suited to derive a new estimate of present day Antarctic ice shelf melting at high resolution and is able to quantify its sensitivity to tides.

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“…CDW is held back from entering the continental shelf in this region by the Antarctic Slope Front (in agreement with, e.g Guo et al, 2019, their. Fig.…”

supporting

confidence: 87%

The Whole Antarctic Ocean Model (WAOM v1.0): Development and Evaluation

Richter

Gwyther

Naughten

2020

Preprint

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“…The cold features are likely shelf water in a broad sense advected from the shoreward. We can naturally assume that the subsurface cold water reflects intensive buoyancy loss in the coastal region (e.g., Guo et al, 2019; Tamura et al, 2016). As such, the spatial variation in the along‐slope temperature likely reflects the regional difference in surface forcing on the continental shelves.…”

Section: Discussionmentioning

confidence: 99%

Structure of the Subpolar Gyre in the Australian‐Antarctic Basin Derived From Argo Floats

et al. 2020

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The climatological structure of the subpolar cyclonic circulation off East Antarctica is delineated with Argo float data from the past decade. Up to 40% of the float profiles in the seasonal ice zone have been without satellite positioning. We refined their position data as following the bathymetry to get appropriate positions in the continental margin. The error of the terrain‐following interpolation was estimated by using positioned data to be 23 ± 27 (78 ± 70) km for 90 (390) day period. Profiles with the under‐ice period shorter than 360 days are adopted. The float trajectories reveal the extent of the subpolar gyre adjoined to the westward Antarctic Slope Current to its south and the southernmost eastward jet of the Antarctic Circumpolar Current along 4,000 m isobath to its north. The subpolar circulation in the Australian‐Antarctic Basin comprises of a series of quasi‐barotropic subgyre circulations, which are bounded by bathymetric spurs in the continental slope. The temperature field reveals shoreward excursions of Circumpolar Deep Water associated with the subgyres, effectively supplying heat to the continental shelves. An along‐slope temperature variation up to 1°C in 27.7–27.8 kg/m3 σθ indicates an active cross‐slope exchange within the layer. Provided the velocity field and the water mass structure, the subsurface water mass exchange is likely accomplished by a combination of topographically controlled mean flow and the eddy transports. Our findings suggest that the bathymetry primarily determines the structure of the subpolar gyre.

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“…We also plan to apply multi-source reanalysis products to improve the representation of precipitation during the initial simulation preceding the start of FIPS prediction. In Prydz Bay, knowledge of the oceanic heat flux is important for the energy budget of sea ice and, hence, for sea-ice growth (Guo and others, 2019). In the current FIPS configuration, the temporal variation of F w is based on field observations and model analyses.…”

Section: Discussionmentioning

confidence: 99%

Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE

et al. 2020

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Abstract A Fast Ice Prediction System (FIPS) was constructed and is the first regional land-fast sea-ice forecasting system for the Antarctic. FIPS had two components: (1) near-real-time information on the ice-covered area from MODIS and SAR imagery that revealed, tidal cracks, ridged and rafted ice regions; (2) a high-resolution 1-D thermodynamic snow and ice model (HIGHTSI) that was extended to perform a 2-D simulation on snow and ice evolution using atmospheric forcing from ECMWF: either using ERA-Interim reanalysis (in hindcast mode) or HERS operational 10-day predictions (in forecast mode). A hindcast experiment for the 2015 season was in good agreement with field observations, with a mean bias of 0.14 ± 0.07 m and a correlation coefficient of 0.98 for modeled ice thickness. The errors are largely caused by a cold bias in the atmospheric forcing. The thick snow cover during the 2015 season led to modeled formation of extensive snow ice and superimposed ice. The first FIPS operational service was performed during the 2017/18 season. The system predicted a realistic ice thickness and onset of snow surface melt as well as the area of internal ice melt. The model results on the snow and ice properties were considered by the captain of R/V Xuelong when optimizing a low-risk route for on-ice transportation through fast ice to the coastal Zhongshan Station.

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Reduced Sea Ice Production Due to Upwelled Oceanic Heat Flux in Prydz Bay, East Antarctica

Cited by 43 publications

References 30 publications

The Whole Antarctic Ocean Model (WAOM v1.0): Development and Evaluation

The Whole Antarctic Ocean Model (WAOM v1.0): Development and Evaluation

Structure of the Subpolar Gyre in the Australian‐Antarctic Basin Derived From Argo Floats

Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE

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