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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Schneider, Linn; Kieke, Dagmar; Jochumsen, Kerstin; Colbourne, Eugene; Yashayaev, Igor M; Steinfeldt, Reiner; Varotsou, Eirini; Serra, Nuno; Rhein, Monika (2015): Variability of Labrador Sea Water transported through Flemish Pass during 1993-2013. Journal of Geophysical Research: Oceans, 120(8), 5514-5533, https://doi.org/10.1002/2015JC010939
    Publication Date: 2023-05-12
    Description: Flemish Pass, located at the western subpolar margin, is a passage (sill depth 1200 m) that is constrained by the Grand Banks and the underwater plateau Flemish Cap. In addition to the Deep Western Boundary Current (DWBC) pathway offshore of Flemish Cap, Flemish Pass represents another southward transport pathway for two modes of Labrador Sea Water (LSW), the lightest component of North Atlantic Deep Water carried with the DWBC. This pathway avoids potential stirring regions east of Flemish Cap and deflection into the interior North Atlantic. Ship-based velocity measurements between 2009 and 2013 at 47°N in Flemish Pass and in the DWBC east of Flemish Cap revealed a considerable southward transport of Upper LSW through Flemish Pass (15-27%, -1.0 to -1.5 Sv). About 98% of the denser Deep LSW were carried around Flemish Cap as Flemish Pass is too shallow for considerable transport of Deep LSW. Hydrographic time series from ship-based measurements show a significant warming of 0.3°C/decade and a salinification of 0.03/decade of the Upper LSW in Flemish Pass between 1993 and 2013. Almost identical trends were found for the evolution in the Labrador Sea and in the DWBC east of Flemish Cap. This indicates that the long-term hydrographic variability of Upper LSW in Flemish Pass as well as in the DWBC at 47°N is dominated by changes in the Labrador Sea, which are advected southward. Fifty years of numerical ocean model simulations in Flemish Pass suggest that these trends are part of a multidecadal cycle.
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-02
    Keywords: Calculated; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Maria S. Merian; MSM21/2; MSM21/2_383-1; MSM21/2_387-1; MSM21/2_388-1; MSM21/2_389-1; MSM21/2_390-1; MSM21/2_394-1; MSM21/2_395-1; MSM21/2_396-1; MSM21/2_397-1; MSM21/2_400-1; MSM21/2_403-1; MSM21/2_407-1; MSM21/2_408-1; MSM21/2_410-1; MSM21/2_412-1; MSM21/2_415-1; MSM21/2_416-1; MSM21/2_421-1; MSM21/2_427-1; MSM21/2_428-1; MSM21/2_429-1; MSM21/2_430-1; MSM21/2_431-1; MSM21/2_432-1; MSM21/2_433-1; MSM21/2_434-1; MSM21/2_435-1; MSM21/2_436-1; MSM21/2_437-1; MSM21/2_437-2; MSM21/2_437-3; MSM21/2_437-4; MSM21/2_437-5; MSM21/2_437-6; MSM21/2_437-7; MSM21/2_437-8; MSM21/2_437-9; MSM21/2_440-1; MSM21/2_444-1; MSM21/2_445-1; MSM21/2_446-1; MSM21/2_447-1; MSM21/2_448-1; MSM21/2_449-1; MSM21/2_450-1; MSM21/2_454-1; MSM21/2_455-1; MSM21/2_456-1; MSM21/2_457-1; MSM21/2_458-1; MSM21/2_460-1; MSM21/2_461-1; MSM21/2_463-1; MSM21/2_464-1; MSM21/2_465-1; MSM21/2_467-1; MSM21/2_468-1; MSM21/2_469-1; MSM21/2_470-1; MSM21/2_471-1; MSM21/2_475-1; MSM21/2_476-1; MSM21/2_477-1; MSM21/2_478-1; MSM21/2_480-1; MSM21/2_481-1; MSM21/2_482-1; MSM21/2_484-1; MSM21/2_485-1; MSM21/2_486-1; MSM21/2_488-1; MSM21/2_489-1; MSM21/2_491-1; MSM21/2_492-1; MSM21/2_494-1; MSM21/2_495-1; MSM21/2_496-1; MSM21/2_498-1; MSM21/2_499-1; MSM21/2_500-1; msm212_000; msm212_001; msm212_002; msm212_003; msm212_004; msm212_005; msm212_006; msm212_007; msm212_008; msm212_009; msm212_010; msm212_011; msm212_012; msm212_013; msm212_014; msm212_015; msm212_016; msm212_017; msm212_018; msm212_019; msm212_020; msm212_021; msm212_022; msm212_023; msm212_024; msm212_025; msm212_026; msm212_027; msm212_028; msm212_029; msm212_030; msm212_031; msm212_032; msm212_033; msm212_034; msm212_035; msm212_036; msm212_037; msm212_038; msm212_039; msm212_040; msm212_041; msm212_042; msm212_043; msm212_044; msm212_045; msm212_046; msm212_047; msm212_048; msm212_049; msm212_050; msm212_051; msm212_052; msm212_053; msm212_054; msm212_055; msm212_056; msm212_057; msm212_058; msm212_059; msm212_060; msm212_061; msm212_062; msm212_063; msm212_064; msm212_065; msm212_066; msm212_067; msm212_068; msm212_069; msm212_070; msm212_071; msm212_072; msm212_073; msm212_074; msm212_075; msm212_076; msm212_078; msm212_079; msm212_080; Optional event label; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1197495 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-02-02
    Keywords: Calculated; Celtic Sea; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; Davis Strait; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Labrador Sea; Latitude of event; Longitude of event; Maria S. Merian; MSM28; MSM28_271-1; MSM28_272-1; MSM28_273-1; MSM28_274-1; MSM28_275-1; MSM28_276-1; MSM28_277-1; MSM28_278-1; MSM28_279-1; MSM28_280-1; MSM28_281-1; MSM28_282-1; MSM28_283-1; MSM28_284-1; MSM28_285-1; MSM28_286-1; MSM28_287-1; MSM28_288-1; MSM28_289-1; MSM28_290-1; MSM28_291-1; MSM28_292-1; MSM28_293-1; MSM28_294-1; MSM28_295-1; MSM28_296-1; MSM28_297-1; MSM28_298-1; MSM28_299-1; MSM28_300-1; MSM28_301-1; MSM28_302-1; MSM28_303-1; MSM28_304-1; MSM28_305-1; MSM28_306-1; MSM28_307-1; MSM28_308-1; MSM28_309-1; MSM28_310-1; MSM28_311-1; MSM28_312-1; MSM28_313-1; MSM28_314-1; MSM28_315-1; MSM28_316-1; MSM28_317-1; MSM28_318-1; MSM28_319-1; MSM28_320-1; MSM28_321-1; MSM28_322-1; MSM28_323-1; MSM28_324-1; MSM28_325-1; MSM28_326-1; MSM28_327-1; MSM28_328-1; MSM28_329-1; MSM28_330-1; MSM28_331-1; MSM28_332-1; MSM28_333-1; MSM28_334-1; MSM28_335-1; MSM28_336-1; MSM28_337-1; MSM28_338-1; MSM28_339-1; MSM28_340-1; MSM28_341-1; MSM28_342-1; MSM28_343-1; MSM28_344-1; MSM28_345-1; MSM28_346-1; MSM28_347-1; MSM28_348-1; MSM28_349-1; MSM28_350-2; MSM28_351-1; MSM28_352-2; MSM28_353-1; MSM28_354-1; MSM28_355-1; MSM28_356-1; MSM28_357-1; MSM28_358-1; MSM28_359-1; MSM28_360-1; MSM28_361-1; MSM28_362-1; MSM28_363-1; MSM28_364-1; MSM28_365-1; MSM28_366-1; MSM28_367-1; MSM28_368-1; MSM28_369-1; MSM28_370-1; MSM28_371-1; MSM28_372-1; MSM28_373-1; MSM28_374-1; MSM28_375-1; MSM28_376-1; MSM28_377-1; MSM28_378-1; MSM28_379-1; MSM28_380-1; MSM28_381-1; MSM28_382-1; MSM28_383-1; MSM28_384-1; MSM28_385-1; MSM28_386-1; MSM28_387-1; MSM28_388-1; MSM28_389-1; MSM28_390-1; MSM28_391-1; MSM28_392-1; MSM28_393-1; MSM28_394-1; MSM28_395-1; MSM28_396-1; MSM28_397-1; MSM28_398-1; MSM28_399-1; MSM28_400-1; MSM28_401-1; MSM28_402-1; MSM28_403-1; MSM28_404-1; MSM28_405-1; MSM28_406-1; MSM28_407-1; MSM28_408-1; MSM28_409-1; MSM28_410-1; MSM28_411-1; MSM28_412-1; MSM28_413-1; MSM28_414-1; MSM28_415-1; MSM28_416-1; MSM28_417-1; MSM28_418-1; MSM28_419-1; MSM28_420-1; MSM28_421-1; MSM28_422-1; Oxygen; Oxygen sensor, SBE 43; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 2995302 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-02-02
    Keywords: Calculated; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Maria S. Merian; MSM27; MSM27_138-1; MSM27_139-1; MSM27_140-1; MSM27_141-1; MSM27_142-1; MSM27_143-1; MSM27_144-1; MSM27_145-1; MSM27_146-1; MSM27_147-1; MSM27_148-1; MSM27_149-1; MSM27_150-1; MSM27_152-1; MSM27_153-1; MSM27_154-1; MSM27_155-1; MSM27_156-1; MSM27_157-2; MSM27_162-1; MSM27_163-1; MSM27_164-1; MSM27_165-1; MSM27_166-1; MSM27_167-1; MSM27_168-1; MSM27_169-1; MSM27_170-1; MSM27_171-1; MSM27_172-1; MSM27_173-1; MSM27_174-1; MSM27_175-1; MSM27_176-1; MSM27_177-1; MSM27_178-1; MSM27_179-1; MSM27_180-1; MSM27_181-1; MSM27_182-1; MSM27_183-1; MSM27_184-1; MSM27_185-1; MSM27_186-1; MSM27_187-1; MSM27_188-1; MSM27_189-1; MSM27_190-1; MSM27_191-1; MSM27_192-1; MSM27_193-1; MSM27_194-1; MSM27_195-1; MSM27_196-1; MSM27_197-1; MSM27_198-1; MSM27_199-1; MSM27_200-1; MSM27_201-1; MSM27_202-1; MSM27_203-1; MSM27_204-1; MSM27_205-1; MSM27_206-1; MSM27_207-1; MSM27_208-1; MSM27_209-1; MSM27_210-1; MSM27_211-1; MSM27_212-1; MSM27_213-1; MSM27_214-1; MSM27_215-1; MSM27_216-1; MSM27_217-1; MSM27_218-1; MSM27_219-1; MSM27_220-1; MSM27_221-1; MSM27_222-1; MSM27_223-1; MSM27_224-1; MSM27_225-1; MSM27_226-1; MSM27_227-1; MSM27_228-1; MSM27_229-1; MSM27_230-1; MSM27_231-1; MSM27_232-1; MSM27_233-1; MSM27_234-1; MSM27_235-1; MSM27_236-1; MSM27_237-1; MSM27_239-1; MSM27_240-1; MSM27_241-1; MSM27_242-1; MSM27_243-1; MSM27_244-1; MSM27_245-1; MSM27_246-1; MSM27_247-1; MSM27_248-1; MSM27_249-1; MSM27_250-1; MSM27_251-1; MSM27_252-1; MSM27_253-1; MSM27_254-1; MSM27_255-1; MSM27_256-1; MSM27_257-1; MSM27_258-1; MSM27_259-1; MSM27_260-1; MSM27_261-1; MSM27_262-1; MSM27_263-1; MSM27_264-1; MSM27_265-1; MSM27_266-1; MSM27_267-1; MSM27_268-1; MSM27_269-1; MSM27_270-1; Oxygen; Oxygen sensor, SBE 43; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1409826 data points
    Location Call Number Limitation Availability
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  • 5
    facet.materialart.
    Unknown
    COPERNICUS GESELLSCHAFT MBH
    In:  EPIC3Cryosphere, COPERNICUS GESELLSCHAFT MBH, 11, pp. 2265-2281, ISSN: 1994-0416
    Publication Date: 2017-11-06
    Description: Satellite sea ice concentrations (SICs), together with several ocean parameters, are assimilated into a regional Arctic coupled ocean–sea ice model covering the period of 2000–2008 using the adjoint method. There is substantial improvement in the representation of the SIC spatial distribution, in particular with respect to the position of the ice edge and to the concentrations in the central parts of the Arctic Ocean during summer months. Seasonal cycles of total Arctic sea ice area show an overall improvement. During summer months, values of sea ice extent (SIE) integrated over the model domain become underestimated compared to observations, but absolute differences of mean SIE to the data are reduced in nearly all months and years. Along with the SICs, the sea ice thickness fields also become closer to observations, providing added value by the assimilation. Very sparse ocean data in the Arctic, corresponding to a very small contribution to the cost function, prevent sizable improvements of assimilated ocean variables, with the exception of the sea surface temperature.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2021-07-21
    Description: The growth and decay mechanisms of barrier layers in the northwestern tropical Atlantic are studied by investigating small‐scale processes embedded in the regional circulation of the tropical Atlantic using output from an eddy‐resolving numerical simulation at 4 km resolution forced by an atmospheric reanalysis. The simulation reproduces well the temporal and spatial patterns of barrier layer thickness (BLT) estimated with Argo and CTD in situ profiles. As seen from an analysis of the salinity and temperature vertical gradient balances, localized large barrier layers form inside North Brazil Current rings during late‐June to July because of a thickening of the isothermal layer in the rings due to horizontal temperature advection, stretching of isotherms and tilting of temperature fronts. These barrier layers decay when the isothermal layer reduces again due to the above mechanisms. Further to the north, along the North Equatorial Current, the seasonal variability of BLT is highly pronounced. Thick winter (January to early March) barrier layers locally grow as the base of the mixed layer shoals mainly due to a tilting of the salinity fronts and partly due to stretching of the isohalines, horizontal salt advection and vertical turbulent mixing. The short‐term barrier layers in this case decay due to a deepening of the mixed layer, whereas they get completely eroded in spring by a shoaling of the isothermal layer due to surface temperature stratification. This work highlights that barrier layers are localized phenomena at times growing solely due to ocean dynamics, without a surface freshwater influx.
    Description: Plain Language Summary: Oceanic barrier layers exist in regions where salinity is more dominant than temperature in determining upper ocean density. Those layers lie between the bases of a constant‐density layer and a constant‐temperature layer. Barrier layers prevent vertical exchange of energy and mass between the near‐surface and the deep ocean, thus influencing air‐sea interaction. In the western tropical Atlantic, a warmer sea surface due to the presence of barrier layers can fuel hurricanes. Freshwater from the Amazon River and rainfall facilitate the growth of barrier layers, but the dynamics of their evolution are unclear. In this work, we identify/quantify the growth and decay mechanisms of barrier layers using a 4 km resolution simulation. Barrier layers grow/decay inside North Brazil Current eddies in summer because of deepening/shoaling of the constant‐temperature layer inside the eddies due to horizontal heat transport. Further north, barrier layers grow in winter as the constant‐density layer shoals mainly due to northwestward surface freshwater flow and equatorward subsurface salty water flow. Those barrier layers decay when the constant‐density layer deepens, whereas are destroyed when the constant‐temperature layer shoals in spring due to surface heating. These novel results improve the knowledge on barrier layers and help representing them in climate models.
    Description: Key Points: The North Brazil and North Equatorial Currents are two regions with quasi‐permanent barrier layers in the northwestern tropical Atlantic Large barrier layer thickness (BLT) within the rings occurs during June‐July due to a thickening of the isothermal layer within the eddies Large winter BLT in North Equatorial Current is due to tilting of salinity fronts, stretching of isohalines, advection and turbulent mixing
    Description: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Keywords: 551.46 ; northwestern tropical Atlantic ; barrier layers
    Type: article
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  • 7
    Publication Date: 2021-07-20
    Description: We present an Arctic ocean–sea ice reanalysis covering the period 2007–2016 based on the adjoint approach of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. The spatiotemporal variation of Arctic sea surface temperature (SST), sea ice concentration (SIC), and sea ice thickness (SIT) is substantially improved after the assimilation of ocean and sea ice observations. By assimilating additional World Ocean Atlas 2018 (WOA18) hydrographic data, the freshwater content of the Canadian Basin becomes closer to the observations and translates into changes of the ocean circulation and of transports through the Fram and Davis straits. This new reanalysis compares well with previous filter‐based (TOPAZ4) and nudging‐based (PIOMAS) reanalyses regarding SIC and SST. Benefiting from using the adjoint of the sea ice model, our reanalysis is superior to the ECCOv4r4 product considering sea ice parameters. However, the mean state and variability of the freshwater content and the transport properties of our reanalysis remain different from TOPAZ4 and ECCOv4r4, likely because of a lack of hydrographic observations.
    Description: Arctic sea ice has declined rapidly and reached a record minimum in September, 2012. Arctic ocean–sea ice reanalyses are invaluable sources for understanding the Arctic sea ice changes. We produce an Arctic ocean–sea ice reanalysis of the years 2007–2016 using the adjoint method. The reanalysis is dynamically consistent without introducing unphysical mass and energy discontinuities as in filter‐based data assimilation methods.
    Keywords: 551 ; adjoint method ; data assimilation ; ocean–sea ice reanalysis
    Type: article
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  • 8
    facet.materialart.
    Unknown
    AGU (American Geophysical Union) | Wiley
    In:  Journal of Geophysical Research-Oceans, 120 (1). pp. 94-112.
    Publication Date: 2015-09-28
    Description: Spaceborne sea surface salinity (SSS) measurements provided by the European Space Agency's (ESA) “Soil Moisture and Ocean Salinity” (SMOS) and the National Aeronautical Space Agency's (NASA) “Aquarius/SAC-D” missions, covering the period from May 2012 to April 2013, are compared against in situ salinity measurements obtained in the northern North Atlantic between 20°N and 80°N. In cold water, SMOS SSS fields show a temperature-dependent negative SSS bias of up to −2 g/kg for temperatures 〈5°C. Removing this bias significantly reduces the differences to independent ship-based thermosalinograph data but potentially corrects simultaneously also other effects not related to temperature, such as land contamination or radio frequency interference (RFI). The resulting time-mean bias, averaged over the study area, amounts to 0.1 g/kg. A respective correction applied previously by the Jet Propulsion Laboratory to the Aquarius data is shown here to have successfully removed an SST-related bias in our study area. For both missions, resulting spatial structures of SSS variability agree very well with those available from an eddy-resolving numerical simulation and from Argo data and, additionally they also show substantial salinity changes on monthly and seasonal time scales. Some fraction of the root-mean-square difference between in situ, and SMOS and Aquarius data (approximately 0.9 g/kg) can be attributed to short time scale ocean processes, notably at the Greenland shelf, and could represent associated sampling errors there.
    Type: Article , PeerReviewed
    Format: text
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  • 9
    Publication Date: 2017-07-30
    Description: Langmuir DOI: 10.1021/acs.langmuir.7b01390
    Print ISSN: 0743-7463
    Electronic ISSN: 1520-5827
    Topics: Chemistry and Pharmacology
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  • 10
    Publication Date: 2011-06-28
    Print ISSN: 0149-0419
    Electronic ISSN: 1521-060X
    Topics: Architecture, Civil Engineering, Surveying , Geosciences , Physics
    Published by Taylor & Francis
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