2017
DOI: 10.1525/elementa.195
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Field observations and results of a 1-D boundary layer model for developing near-surface temperature maxima in the Western Arctic

Abstract: Gallaher, SG et al 2017 Field observations and results of a 1-D boundary layer model for developing near-surface temperature maxima in the Western Arctic. Elem Sci Anth, 5: 11, pp. 1-21, DOI: https://doi.org/10.1525/elementa.195 IntroductionRecent changes in the Arctic ice-ocean system have led to an increase in upper ocean heating. The primary source of this heating is the two-fold rise in ocean-absorbed solar radiation (Perovich et al., 2007) that results from rapidly declining summer sea ice extent (Com… Show more

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Cited by 6 publications
(16 citation statements)
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“…The benefits of using automated, uncrewed sampling platforms to increase our ability to observe the SIZ has been demonstrated by several research programs (see Lee et al, 2017, and references therein). Recent SIZ sampling strategies include deploying instrumentation on or in the ice (e.g., Polashenski et al, 2011;Timmermans et al, 2014;Gallaher et al, 2017), or on autonomous underwater vehicles and open water platforms, such as moored-buoys and wave gliders (Wood et al, 2013). Surface drifters (e.g., Thomson, 2012;Banzon et al, 2020) capable of measuring environmental parameters such as air and water temperature and wind speed, have also been deployed in open water and partial ice cover.…”
Section: Introductionmentioning
confidence: 99%
“…The benefits of using automated, uncrewed sampling platforms to increase our ability to observe the SIZ has been demonstrated by several research programs (see Lee et al, 2017, and references therein). Recent SIZ sampling strategies include deploying instrumentation on or in the ice (e.g., Polashenski et al, 2011;Timmermans et al, 2014;Gallaher et al, 2017), or on autonomous underwater vehicles and open water platforms, such as moored-buoys and wave gliders (Wood et al, 2013). Surface drifters (e.g., Thomson, 2012;Banzon et al, 2020) capable of measuring environmental parameters such as air and water temperature and wind speed, have also been deployed in open water and partial ice cover.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, lower sun angles, limited meltwater, and cooler ice temperatures destabilized the boundary layer, allowing turbulent eddies to deepen routinely past the AOFB turbulence package at 2.5 m, providing reliable roughness measurements from observed friction velocities. Ideally, boundary layer scientists would like to study turbulent drag under all conditions, requiring investment in autonomous 3-D acoustic current meters (turbulence) and salinity (stratification) sensors stationed less than 3 m from the ice base (Cole et al, 2017;Gallaher et al, 2017). Such observations would still not resolve the large spatial heterogeneity of sea ice morphology; however, a combination of these shallow flux instruments and large-scale mapping of under-ice topography (by glider technology, NASA IceBridge flights, NASA ICESat imagery) could provide important regional bulk characterization of ice bottom roughness, offering climate modelers considerable improvements to the near-surface energy balance.…”
Section: Discussionmentioning
confidence: 99%
“…Autonomous Ocean Flux Buoys (AOFBs) measured profiles of mixed layer currents; vertical turbulent fluxes of heat, salt, and momentum near the top of the ocean mixed layer; shortwave radiative fluxes; and air-ice momentum transfer (using a three-dimensional sonic aneomometer) at 2 m above the ice, temperature from the ice surface to 4.5 m depth (using a thermistor string), and surface waves (Gallaher et al, 2017).…”
Section: Ice-based Drifting Autonomous Platformsmentioning
confidence: 99%
“…Melting causes ponds to form on the surface of the sea ice (Figure 8a), decreasing surface albedo and initiating a strong feedback mechanism where reduced albedo increases absorption of solar radiation, driving more melt and thus further reductions in albedo. Gallaher et al (2017) use AOFB data to show that the eventual drainage of these melt ponds provides a significant source of buoyant water to maintain strong near-surface stratification. This inhibits vertical mixing and thus helps generate and preserve the near-surface temperature maximum throughout much of the open water season.…”
Section: Surface Meltmentioning
confidence: 99%