UDASH – Unified Database for Arctic and Subarctic Hydrography

Behrendt, Axel; Sumata, Hiroshi; Rabe, Benjamin; Schauer, Ursula

doi:10.5194/essd-2017-92

Cited by 19 publications

(28 citation statements)

References 1 publication

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“…The hydrographic data used in this study cover the time period 1986–2015 and the spatial domain 59°–80°N and 30°W–20°E. The majority of the data were obtained from the Unified Database for Arctic and Subarctic Hydrography (UDASH) 32 . Additional data, particularly south of 65°N which is outside the domain of UDASH, come from various archives as listed in supplementary Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Sources and upstream pathways of the densest overflow water in the Nordic Seas

et al. 2020

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Overflow water from the Nordic Seas comprises the deepest limb of the Atlantic Meridional Overturning Circulation, yet questions remain as to where it is ventilated and how it reaches the Greenland-Scotland Ridge. Here we use historical hydrographic data from 2005-2015, together with satellite altimeter data, to elucidate the source regions of the Denmark Strait and Faroe Bank Channel overflows and the pathways feeding these respective sills. A recently-developed metric is used to calculate how similar two water parcels are, based on potential density and potential spicity. This reveals that the interior of the Greenland Sea gyre is the primary wintertime source of the densest portion of both overflows. After subducting, the water progresses southward along several ridge systems towards the Greenland-Scotland Ridge. Kinematic evidence supports the inferred pathways. Extending the calculation back to the 1980s reveals that the ventilation occurred previously along the periphery of the Greenland Sea gyre.

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Section: Methodsmentioning

confidence: 99%

Sources and upstream pathways of the densest overflow water in the Nordic Seas

et al. 2020

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“…In this study, we use the data from the Rabe database consisting of profiles made using conductivity/temperature/depth (CTD) probes, bottles, mechanical thermographs, and expendable thermographs. The data were collected by ships, ice-tethered profilers, profiling floats, and other platforms [34] (https://doi.pangaea.de/10.1594/PANGAEA.872931).…”

Section: In-situ Salinity Datamentioning

confidence: 99%

Evaluation and Intercomparison of SMOS, Aquarius, and SMAP Sea Surface Salinity Products in the Arctic Ocean

et al. 2019

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Salinity is a critical parameter in the Arctic Ocean, having potential implications for climate and weather. This study presents the first systematic analysis of 6 commonly used sea surface salinity (SSS) products from the National Aeronautics and Space Administration (NASA) Aquarius and Soil Moisture Active Passive (SMAP) satellites and the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, in terms of their consistency among one another and with in-situ data. Overall, the satellite SSS products provide a similar characterization of the time mean SSS large-scale patterns and are relatively consistent in depicting the regions with strong SSS temporal variability. When averaged over the Arctic Ocean, the SSS show an excellent consistency in describing the seasonal and interannual variations. Comparison of satellite SSS with in-situ salinity measurements along ship transects suggest that satellite SSS captures salinity gradients away from regions with significant sea-ice concentration. The root-mean square differences (RMSD) of satellite SSS with respect to in-situ measurements improves with increasing temperature, reflecting the limitation of L-band radiometric sensitivity to SSS in cold water. However, the satellite SSS biases with respect to the in-situ measurements do not show a consistent dependence on temperature. The results have significant implications for the calibration and validation of satellite SSS as well as for the modeling community and the design of future satellite missions.

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“…Three different sets of data were combined to form the data set used in this analysis: the Arctic data set of Behrendt et al (), the HydroBase3 data set (Curry & Nobre, ), and all available Denmark Strait data from the University of Hamburg (e.g., Quadfasel, ). The resulting data set includes profiles of pressure, temperature and salinity, and profiles of velocity for most of the University of Hamburg data.…”

Section: Methodsmentioning

confidence: 99%

“…Three different sets of data were combined to form the data set used in this analysis: the Arctic data set of Behrendt et al (2017), the HydroBase3 data set (Curry & Nobre, 2013), and all available Denmark Strait data and thickness of the bottom layer (diameter), or (d) vertically integrated entrainment rates w IL (color and diameter) in the interfacial layer. (c) Scatter plot of temperature T C (red) and potential density anomaly r h (blue) and linear fit (solid line) in the bottom layer as a function of longitude and approximate distance from the sill.…”

Section: Data Set Sources and Processingmentioning

confidence: 99%

Entrainment and Energy Transfer Variability Along the Descending Path of the Denmark Strait Overflow Plume

2018

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The descent of the Denmark Strait overflow plume is an important process in the Atlantic Meridional Overturning Circulation. Downstream of the sill, the plume entrains ambient water, increasing its volume transport. The entrainment and related transfer of energy can be driven by vertical or horizontal turbulent mixing, and varies spatially, as the plume descends, and temporally, as the volume transport at the sill changes. Using over 30 years of profile data, this spatial and temporal variability in the first 200 km downstream of the sill was investigated. Dissipation and entrainment rates were derived from Thorpe scales, and each profile was identified as either a low‐ or high‐transport flow, defined as below or above‐average volume transport at the sill. In the first 175 km flow type explains most of the variability in entrainment and dissipation rates, with high‐transport flow producing order of magnitude higher rates. Sections crossing the plume and yo‐yo casts (continuous profiling) indicate that dissipation and entrainment are likely driven by the formation of shear instabilities in the interfacial layer, when the vertical velocity shear overcomes the stratification. This vertical turbulent mixing explains most of the variability within the first 175 km, suggesting horizontal turbulent mixing processes may not play as important a role in this region. The importance of temporal flow variability means that further improvements to our understanding of plume dynamics in the Denmark Strait will require a novel observational approach to fully account for spatial and temporal contributions.

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UDASH – Unified Database for Arctic and Subarctic Hydrography

Cited by 19 publications

References 1 publication

Sources and upstream pathways of the densest overflow water in the Nordic Seas

Sources and upstream pathways of the densest overflow water in the Nordic Seas

Evaluation and Intercomparison of SMOS, Aquarius, and SMAP Sea Surface Salinity Products in the Arctic Ocean

Entrainment and Energy Transfer Variability Along the Descending Path of the Denmark Strait Overflow Plume

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