A model-based study of ice and freshwater transport variability along both sides of Greenland

Lique, Camille; Tréguier, Anne‐Marie; Scheinert, Markus; Penduff, Thierry

doi:10.1007/s00382-008-0510-7

Cited by 75 publications

(103 citation statements)

References 54 publications

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“…However, individual years suggest a strong influence by local ocean dynamics in the Fram Strait on the LFW component transports; in particular, for FIFB. This is in agreement with interannual and seasonal LFW transports from model analyses (Lique et al, 2009;Jahn et al, 2010, …”

Section: Volume Transports and Inventoriessupporting

confidence: 89%

Liquid export of Arctic freshwater components through the Fram Strait 1998–2011

et al. 2013

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Abstract. We estimated the magnitude and composition of southward liquid freshwater transports in the East Greenland Current near 79 • N in the Western Fram Strait between 1998 and 2011. Previous studies have found this region to be an important pathway for liquid freshwater export from the Arctic Ocean to the Nordic Seas and the North Atlantic subpolar gyre.Our transport estimates are based on six hydrographic surveys between June and September and concurrent data from moored current meters. We combined concentrations of liquid freshwater, meteoric water (river water and precipitation), sea ice melt and brine from sea ice formation, and Pacific Water, presented in Dodd et al. (2012), with volume transport estimates from an inverse model. The average of the monthly snapshots of southward liquid freshwater transports between 10.6 • W and 4 • E is 100 ± 23 mSv (3160 ± 730 km 3 yr −1 ), relative to a salinity of 34.9. This liquid freshwater transport consists of about 130 % water from rivers and precipitation (meteoric water), 30 % freshwater from the Pacific, and −60 % (freshwater deficit) due to a mixture of sea ice melt and brine from sea ice formation.Pacific Water transports showed the highest variation in time, effectively vanishing in some of the surveys. Comparison of our results to the literature indicates that this was due to atmospherically driven variability in the advection of Pacific Water along different pathways through the Arctic Ocean. Variations in most liquid freshwater component transports appear to have been most strongly influenced by changes in the advection of these water masses to the Fram Strait. However, the local dynamics represented by the volume transports influenced the liquid freshwater component transports in individual years, in particular those of sea ice melt and brine from sea ice formation.Our results show a similar ratio of the transports of meteoric water and net sea ice melt as previous studies.

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Section: Volume Transports and Inventoriessupporting

confidence: 89%

Liquid export of Arctic freshwater components through the Fram Strait 1998–2011

et al. 2013

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“…Overall, the average total simulated Arctic sea-ice extent differs from observations by no more than 5% in the winter and no more than 10% in the summer, although some regional departures are larger, of the order of 20%. The modelled summer sea-ice agrees better with the observed field than in the corresponding DRAKKAR run G70 (Lique et al, 2009). The improvement is mostly because of the use of new atmospheric forcing fields from DFS 4.1 .…”

Section: Light Regime Of the Aomentioning

confidence: 52%

“…Fichefet et al, 1997;Timmermann et al, 2005) as well as in eddy-permitting configurations (Lique et al, 2009). The model demonstrates good skills in simulating the annual cycle, inter-annual variability and multidecadal trends of the Arctic sea ice.…”

Section: E E Popova Et Al: Control Of Primary Production In the Armentioning

confidence: 92%

“…The model demonstrates good skills in simulating the annual cycle, inter-annual variability and multidecadal trends of the Arctic sea ice. The only known bias in high-resolution simulations is slight underestimation of the Arctic summer sea ice extent in comparison to satellite observations (Lique et al, 2009). …”

Section: E E Popova Et Al: Control Of Primary Production In the Armentioning

confidence: 99%

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Control of primary production in the Arctic by nutrients and light: insights from a high resolution ocean general circulation model

et al. 2010

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Abstract. Until recently, the Arctic Basin was generally considered to be a low productivity area and was afforded little attention in global-or even basin-scale ecosystem modelling studies. Due to anthropogenic climate change however, the sea ice cover of the Arctic Ocean is undergoing an unexpectedly fast retreat, exposing increasingly large areas of the basin to sunlight. As indicated by existing Arctic phenomena such as ice-edge blooms, this decline in sea-ice is liable to encourage pronounced growth of phytoplankton in summer and poses pressing questions concerning the future of Arctic ecosystems. It thus provides a strong impetus to modelling of this region.The Arctic Ocean is an area where plankton productivity is heavily influenced by physical factors. As these factors are strongly responding to climate change, we analyse here the results from simulations of the 1/4 • resolution global ocean NEMO (Nucleus for European Modelling of the Ocean) model coupled with the MEDUSA (Model for Ecosystem Dynamics, carbon Utilisation, Sequestration and Acidification) biogeochemical model, with a particular focus on the Arctic basin. Simulated productivity is consistent with the limited observations for the Arctic, with significant production occurring both under the sea-ice and at the thermocline, locations that are difficult to sample in the field.Results also indicate that a substantial fraction of the variability in Arctic primary production can be explained by two key physical factors: (i) the maximum penetration of winter mixing, which determines the amount of nutrients available for summer primary production, and (ii) short-wave radiation at the ocean surface, which controls the magnitude of phytoplankton blooms. A strong empirical correlation was Correspondence to: E. E. Popova (ekp@noc.soton.ac.uk) found in the model output between primary production and these two factors, highlighting the importance of physical processes in the Arctic Ocean.

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“…The combination of an energy-enstrophy conserving momentum advection scheme, partial bottom cells and free-slip lateral boundary condition have been used as Penduff et al (2007) shows these improve simulations of the along-shelf flows in the Arctic in ORCA025. Lique et al (2009 and and Zuo et al (2011) have all shown in detailed studies that the ORCA025 model at least performs very well in the Arctic.…”

Section: Model Descriptionmentioning

confidence: 99%