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  • 2020-2024  (29)
  • 2020-2022  (20)
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  • 1
    Online Resource
    Online Resource
    Advektive Pfade von Nährstoffen und ökologischen Schlüsselsubstanzen in der Arktis : Schlussbericht (2022)
    Bremerhaven : [Alfred-Wegener-Institute Helmholtz-Center for Polar and Marine Research]
    Details Availability
    Keywords: Forschungsbericht ; Nordpolarmeer ; Zirkulation ; Mengenelement ; Nährstoffeintrag
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (21 Seiten, 11,53 MB) , Diagramme, Karten
    URL: https://edocs.tib.eu/files/e01fb23/1860722377.pdf
    URL: https://doi.org/10.2314/KXP:1860722377
    DOI: 10.2314/KXP:1860722377
    Language: German
    Note: Förderkennzeichen BMBF 03F0807A [richtig] - 03V01461 [falsch] , Laufzeit: 01.07.2018 bis 31.12.2021 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 2
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    Sources and sinks of N2O in the subpolar and polar North Atlantic (2020)
    In:  [Talk] In: Ocean Sciences Meeting 2020, 16.-21.02.2020, San Diego, USA .
    Details
    Publication Date: 2020-03-04
    Description: The Arctic Ocean is particularly sensitive to climate change. Its ecosystem structure and function are prone to be disturbed by fast warming and massive retreat of sea-ice, which in turn, might result in feedbacks on climate. Moreover, such drastic changes are expected to influence the meridional fluxes of heat, freshwater and biogeochemical tracers between subpolar areas and the Arctic. As the third most important greenhouse gas and major ozone-depleting substance in the stratosphere, nitrous oxide (N2O) is a crucial gas to study in order to assess the ocean’s role in the production and exchange of climate-relevant compounds to the atmosphere. Between 2018 and 2019 we conducted ship-based surveys to elucidate the source-sink dynamics of N2O in the subpolar-polar North Atlantic. Based on results from those campaigns, we show the distribution and spatial variability of surface N2O, which ranged from moderate supersaturation (positive sea-air fluxes) in ice-free subpolar areas to unusually strong undersaturation (negative sea-air fluxes) in partially or fully ice-covered areas. We also present a comprehensive overview of the water column distribution of N2O in the region, and by combining this data with hydrographic and chemical (O2 and inorganic nutrients) information, we trace back the origin of the dominant water masses so as to illustrate the connectivity between the Fram Strait and the Nordic Seas off southeast Greenland. This analysis is used to discuss how the meridional water mass exchange in the region influences the balance of local vs. remote N2O production and its spatial variability. Furthermore, we use the results from collocated molecular analyses (functional gene markers) to infer the occurrence and abundances of the main microbial communities responsible for the cycling of N2O. This contribution is relevant for assessments of expected changes in trace gas emissions with further climate-driven changes in the Arctic Ocean.
    Type: Conference or Workshop Item , NonPeerReviewed
    Location Call Number Limitation Availability
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    OceanRep: Talk
  • 3
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    The 79°N Glacier cavity modulates subglacial iron export to the NE Greenland Shelf (2021)
    Nature Research
    Details
    Publication Date: 2024-02-07
    Description: Approximately half of the freshwater discharged from the Greenland and Antarctic Ice Sheets enters the ocean subsurface as a result of basal ice melt, or runoff draining via the grounding line of a deep ice shelf or marine-terminating glacier. Around Antarctica and parts of northern Greenland, this freshwater then experiences prolonged residence times in large cavities beneath floating ice tongues. Due to the inaccessibility of these cavities, it is unclear how they moderate the freshwater associated supply of nutrients such as iron (Fe) to the ocean. Here, we show that subglacial dissolved Fe export from Nioghalvfjerdsbrae (the ‘79°N Glacier’) is decoupled from particulate inputs including freshwater Fe supply, likely due to the prolonged ~162-day residence time of Atlantic water beneath Greenland’s largest floating ice-tongue. Our findings indicate that the overturning rate and particle-dissolved phase exchanges in ice cavities exert a dominant control on subglacial nutrient supply to shelf regions.
    Type: Article , PeerReviewed
    Format: text
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    Format: other
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 4
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    Impacts of glacier and sea ice melt on methane pathways on the Northeast Greenland shelf (2022)
    Elsevier
    Details
    Publication Date: 2024-02-07
    Description: Highlights • CH4 excess is detected in water masses interacting with sea ice. • CH4 excess in surface waters is sea ice-sourced. • The meltwater layer restricts the sea-to-air flux via increased stratification. • CH4 excess is redistributed in the marine environment. • In water masses transported to the shelf, CH4 oxidation acts as biological CH4 sink. Global warming has led to a sharp decrease in Arctic summer sea ice extent and a dramatic ice mass loss of the Greenland Ice Sheet over the past three decades. The Northeast Greenland continental shelf is a site of intense water mass transformation involving both sea ice processes and glacier dynamics. The Arctic shelf waters are considered to be a net source of atmospheric methane (CH4); however, the effect of glacier and sea ice melt on oceanic CH4 concentrations still needs to be investigated. To better understand the effect of meltwater on the CH4 budget of the ocean, our study constrains the CH4 pathways by following changes in water mass properties and infers potential CH4 sources and sinks. Based on measurements of concentration and carbon isotope delta (δ13C) of CH4, the water mass tracer δ18O(H2O) and physical properties of the water masses, we detected CH4 excess in surface waters, which we attribute to brine release during sea ice formation. We show that this CH4 excess is sustained throughout the melt season, due to a freshwater lid formed at the ocean surface. The meltwater hardly alters the CH4 excess, but enhances water stratification, which, in turn, restricts the sea-to-air flux. The CH4 excess is subject to mixing with surrounding shelf waters influenced by basal glacial meltwater discharge. We suggest that the CH4 excess of Northeast Greenland continental shelf waters is redistributed in the marine environment, while CH4 emission to the atmosphere is limited to regions not covered by sea ice.
    Type: Article , PeerReviewed
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 5
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    Oxygen and hydrogen isotopes in water samples collected during Polarstern cruise PS100 in 2016 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-20
    Description: Oxygen and hydrogen isotopes are key tracers to identify the sources of fresh water in a seawater sample, especially to distinguish meteoric water from sea-ice meltwater. Water samples were collected from CTD-Rosette casts during Polarstern expedition PS100, July - September 2016, to the Fram Strait and East Greenland Shelf area. Unfiltered water was collected in 100-ml glass bottles. The bottles were rinsed three times with the sample and filled through a silicon tube, avoiding gas bubbles, until just below the rim. The bottles were closed air tight, waxed by dipping them upside down in a melted beewax/stearine mixture, and stored at 2-5°C. Mass spectrometric analysis was carried out in the AWI stable isotope laboratory in Potsdam.
    Keywords: 18O; ARK-XXX/2, GN05; AWI_Envi; Bottle number; Calculated; Cast number; CTD, SEA-BIRD SBE 911plus, SN T5101-C3290; CTD/Rosette; CTD-L; CTD Large; CTD-RO; Density, potential; DEPTH, water; derived from SBE43 oxygen sensor; Deuterium excess; Event label; FRAM; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; GRIFF; Isotope ratio mass spectrometry; North Greenland Sea; Norwegian Sea; Oxygen; Polarstern; Polar Terrestrial Environmental Systems @ AWI; Pressure, water; PS100; PS100/002-1; PS100/015-2; PS100/015-5; PS100/027-1; PS100/028-2; PS100/028-4; PS100/044-2; PS100/044-4; PS100/046-1; PS100/048-1; PS100/052-2; PS100/052-4; PS100/056-2; PS100/056-5; PS100/060-1; PS100/062-1; PS100/066-1; PS100/076-1; PS100/078-1; PS100/079-1; PS100/080-1; PS100/082-2; PS100/086-1; PS100/088-1; PS100/090-2; PS100/109-1; PS100/111-1; PS100/113-1; PS100/115-1; PS100/117-1; PS100/119-1; PS100/130-1; PS100/132-1; PS100/134-1; PS100/135-2; PS100/137-1; PS100/139-1; PS100/141-1; PS100/151-1; PS100/153-1; PS100/160-1; PS100/162-1; PS100/165-2; PS100/166-1; PS100/168-1; PS100/178-1; PS100/179-1; PS100/186-1; PS100/188-1; PS100/189-2; PS100/191-1; PS100/193-1; PS100/195-1; PS100/201-1; PS100/202-2; PS100/203-1; PS100/220-1; PS100/224-1; PS100/228-1; PS100/236-1; PS100/241-2; PS100/250-1; PS100/253-1; PS100/262-2; PS100/274-3; PS100/285-1; PS100/285-3; PS100/288-2; Salinity; Stable isotopes; Station label; Temperature, water; Temperature, water, potential; δ18O, standard deviation; δ18O, water; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 7937 data points
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    DATA PANGAEA
  • 6
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    Under-ice temperature and salinity measurements at Ice Ridge Observatory during MOSAiC from an RBR Concerto CTD (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Two RBR Concerto Conductivity Temperature Depth (CTD) sensors (SN 60611 & SN 60610) were deployed as part of the Sea Ice Ridge Observatory, also called Fort Ridge, in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The CTDs are autonomous instruments that measured conductivity (salinity), temperature, and pressure (depth) approximately 2-3 m below the sea ice on either side of a large ice ridge. The RBR 60610 was lost due to ice rafting before data was downloaded. The RBR 60611 was recovered in May 2020, resulting in one time series between January 3rd and May 6th2020. RBR 60611 was redeployed on May 6th but also lost due to ice rafting shortly after. Each CTD was deployed together with a Nortek Signature1000 acoustic Doppler current profiler (doi:10.1594/PANGAEA.941882), installed at a 2 m distance. Here we describe the instrument hardware, setup, and processing that resulted in the final data set. The instruments were deployed as part of the project Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean (HAVOC), funded by the Research Council of Norway, project number: 280292.
    Keywords: Arctic; Arctic Ocean; CTD, RBR, RBRConcerto C.T.D.; CTD data; HAVOC; Mosaic; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-310; PS122/3; PS122/3_28-144; RBR_CTD; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice
    Type: Dataset
    Format: application/x-netcdf, 60 MBytes
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    DATA PANGAEA
  • 7
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    Under-ice current and turbulence measurements at Ice Ridge Observatory during MOSAiC from 2x Nortek Signature1000 Acoustic Doppler profilers (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th2020 and one between January 3rd and February 21st, 2020. Here we describe the instrument hardware, setup, and processing that resulted in the final data set. The instruments were deployed as part of the project Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean (HAVOC), funded by the Research Council of Norway, project number: 280292.
    Keywords: ADCP data; Arctic; Arctic Ocean; Binary Object; Binary Object (File Size); BUOY_ADCP; Buoy, acoustic doppler current profiler; currents; Event label; HAVOC; Mosaic; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-307; PS122/2_14-308; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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    DATA PANGAEA
  • 8
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    Under-ice current and turbulence raw data (Nortek Signature1000 Acoustic Doppler profilers nortek_101408) at Ice Ridge Observatory during MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th 2020 and one between January 3rd and February 21st, 2020. This dataset contains the rawdata for adcp_101408. Nortek Signature software (Nortek Discover) is needed to read and convert the data (https://www.nortekgroup.com/software). For more information see the Nortek Signature Principles of Operation (https://www.nortekgroup.com/assets/software/N3015-011-SignaturePrinciples.pdf). A processed and temporally averaged version of this dataset together with a data report can be found under doi:10.1594/PANGAEA.941882.
    Keywords: ADCP data; Arctic; Arctic Ocean; BUOY_ADCP; Buoy, acoustic doppler current profiler; currents; HAVOC; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-307; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: application/x-tar, 7.3 GBytes
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    DATA PANGAEA
  • 9
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    Under-ice current and turbulence raw data (Nortek Signature1000 Acoustic Doppler profilers nortek_100098) at Ice Ridge Observatory during MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Two Nortek Signature1000 acoustic Doppler current profilers (SN 100098 & SN 101048) were deployed as part of the Sea Ice Ridge Observatory (also called Fort Ridge) in the Arctic Ocean during the 2nd leg of the MOSAiC ice drift expedition in February 2020. The ADCPs are autonomous instruments that measured ice-relative horizontal and vertical ocean currents and turbulence in the upper ~20 m of the water column. The instruments were deployed under the ice, pointing downward on either side of a large ice ridge. In addition to currents, temperature, pressure, tilt, and compass direction were measured. Both instruments were eventually lost due to ice rafting, resulting in one time series between January 3rd and May 6th2020 and one between January 3rd and February 21st, 2020. This dataset contains the rawdata for adcp_100098. Nortek Signature software (Nortek Discover) is needed to read and convert the data (https://www.nortekgroup.com/software). For more information see the Nortek Signature Principles of Operation (https://www.nortekgroup.com/assets/software/N3015-011-SignaturePrinciples.pdf). A processed and temporally averaged version of this dataset together with a data report can be found under doi:10.1594/PANGAEA.941882.
    Keywords: ADCP data; Arctic; Arctic Ocean; BUOY_ADCP; Buoy, acoustic doppler current profiler; CTD data; currents; HAVOC; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-308; ridge flank; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; Turbulence
    Type: Dataset
    Format: application/x-tar, 16.8 GBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Microstructure profiler raw data (MSS_55_IOW) during leg 3 of the MOSAiC expedition in 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: During the MOSAiC drift, vertical profiles of turbulence and auxiliary parameters were measured with MSS microstructure profilers manufactured by Sea and Sun Technology, Germany. Here, the raw binary data from one of in total three different probes deployed during the drift is archived, in the instrument-specific .MRD data format. Every profile is stored in one individual binary file.
    Keywords: Arctic Ocean; Binary Object; DATE/TIME; Event label; LATITUDE; LONGITUDE; Microstructure Profiler; MOSAiC; MOSAiC20192020; MSSP; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PEANUTS; Polarstern; Primary productivity driven by escalating Arctic nutrient fluxes?; PS122/2; PS122/2_23-71; PS122/3; PS122/3_30-27; PS122/3_30-39; PS122/3_30-68; PS122/3_30-8; PS122/3_30-90; PS122/3_31-20; PS122/3_31-3; PS122/3_31-50; PS122/3_31-73; PS122/3_31-82; PS122/3_32-10; PS122/3_32-2; PS122/3_32-23; PS122/3_32-43; PS122/3_32-50; PS122/3_32-62; PS122/3_33-26; PS122/3_33-43; PS122/3_33-51; PS122/3_33-96; PS122/3_34-18; PS122/3_34-27; PS122/3_34-3; PS122/3_35-2; PS122/3_35-26; PS122/3_35-41; PS122/3_35-78; PS122/3_35-93; PS122/3_36-114; PS122/3_36-116; PS122/3_36-147; PS122/3_36-20; PS122/3_36-3; PS122/3_36-39; PS122/3_36-62; PS122/3_37-100; PS122/3_37-11; PS122/3_37-117; PS122/3_37-28; PS122/3_37-3; PS122/3_37-69; PS122/3_37-9; PS122/3_38-32; PS122/3_38-53; PS122/3_38-6; PS122/3_38-83; PS122/3_38-99; PS122/3_39-17; PS122/3_39-31; PS122/3_39-50; PS122/3_39-9
    Type: Dataset
    Format: text/tab-separated-values, 272 data points
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    DATA PANGAEA
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