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Weddell Sea

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  • This dataset contains Weddell Sea limited region ocean ice shelf model (NEMO) outputs. The included experiments were designed to look at the influence of far-field changes in temperature and salinity to changes in melt rates in the Filchner-Ronne Ice Shelf melt rate. Funding was provided by the Filchner Ice Shelf System project NE/L013770/1.

  • Small particles (known as aerosol) in the atmosphere play several critical roles. They affect the transmission of sunlight to the underlying surface; they affect the formation of clouds, and they host and enhance important chemical reactions. When they are deposited on ice they leave a record of past conditions that can be accessed by drilling ice cores. The most significant aerosol component over marine areas is sea salt aerosol. Over most of the world's oceans this is created by bubble bursting in sea spray. However there is strong evidence that another source of sea salt aerosol is important in the polar regions, and that this ultimately derives from the surface of sea ice. The existence of this source forms the basis for a proposed method using ice core data for determining changes in sea ice extent over long time periods. Additionally sea salt aerosol, along with salty sea ice surfaces, is the host for the production of halogen compounds which seem to play a key role in the oxidation chemistry of the polar regions. It is therefore important to understand the sources of polar sea salt aerosol and therefore to be able to predict how they may vary with, and feedback to, climate. It was recently proposed that the main source of this polar sea salt aerosol was the sublimation of salty blowing snow. The idea is that snow on sea ice has a significant salinity. When this salty snow is mobilised into blowing snow, sublimation from the (top of) the blowing snow layer will allow the formation of sea salt aerosol above the blowing snow layer, that can remain airborne after the blowing snow has ceased. First calculations suggested that this would provide a strong source of aerosol (greater than that from open ocean processes over an equivalent area). It was proposed that this would have a strong influence on polar halogen chemistry and a noticeable influence on halogens at lower latitudes. However, this was based on estimates of the relevant parameters as there were no data about aerosol production from this source, and almost no data about blowing snow over sea ice in general. Participation in a rare sea ice cruise onboard the German ice breaker Polarstern operated by Alfred-Wegener-Institut (AWI) provided the opportunity to access the sea ice covered Weddell Sea during Austral winter 2013. Snow on sea ice was sampled at various locations, and the snow salinity was subsequently measured in the ship's laboratory.

  • Two consecutive cruises in the Weddell Sea, Antarctica, in winter/spring 2013 provided the first direct observations of sea salt aerosol (SSA) production from blowing snow above sea ice, thereby validating a model hypothesis to account for winter time SSA maxima in polar regions not explained otherwise. Concentration, size distribution and chemical composition of airborne snow particles, sea salt aerosol and snow on sea ice where measured on board RV Polarstern as well as on the sea ice during ice stations. Funding was provided by NERC projects NE/J023051/1 and NE/J020303/1.

  • Sea ice index comprising data extracted from historical records of ship observed ice positions during Weddell Sea voyages between 1820-1843. Extracted data comprise information on the expedition ship and lead, type of document, the date on which the observation was made, the ship's latitude and longitude at the time of the observation, comments on sea ice and sea ice present (1 if deemed present, 0 if not). Publication assisted by Leverhulme Emeritus Fellowship EM-2022-042 to Professor Grant R. Bigg: "Extending the Southern Ocean marine ice record to the eighteenth century".

  • This dataset contains the object ID, morphotaxonomic name, and approximate size (in mm) of over 70,000 organisms identified from select Ocean Floor Observation and Bathymetry System (OFOBS) images from the cruise PS118 to the Weddell Sea from April - May 2019. Images were collected for assessing epibenthic megafauna communities and establishing temporal baselines for future studies. This work has been supported by Natural Environment Research Council (NERC) Independent Research Fellowship NE/S014756/1, awarded to EM. TK is funded by a Cambridge International and Newnham College Scholarship, administered by Cambridge Trust. RW and HG are funded by UK Research and Innovation (UKRI) Future Leaders Fellowship MR/ W01002X/1 "The past, present and future of unique cold-water benthic (seafloor) ecosystems in the Southern Ocean" awarded to RW. HG is also funded by BIOPOLE, funded by the NERC, under National Capability Science Multi-Centre award scheme (NC-SM2).

  • This dataset contains atmospheric methane and carbon dioxide concentration data in the Southern Ocean and South Atlantic Ocean, and dissolved methane concentration data from surface and water column seawater samples in the Scotia Sea, Weddell Sea, and South Georgia shelf taken onboard RRS Discovery during DY158 from December 2022 and January 2023. Atmospheric methane and carbon dioxide concentration was measured using a Los Gatos Ultraportable Greenhouse Gas Analyser (UGGA) G2311-f. The concentrations are 2 hour averaged and have been filtered based on wind direction to data corresponding to wind coming from behind the ship to remove sources of pollution from the ship stack. Surface seawater samples were taken either using the uncontaminated seawater system or from the surface sample from a CTD (Conductivity-Depth-Temperature) cast. Water column seawater samples were taken from a CTD with Niskin bottle rosette-casts at various depths spanning from the sea surface to the seafloor. The dissolved methane concentration in each seawater sample is measured using gas chromatography. Funding source: This work was supported by the Natural Environment Research Council and the ARIES Doctoral Training Partnership (grant no. NE/S007334/1). The fieldwork was supported by the Collaborative Antarctic Science Scheme (CASS).

  • This dataset contains all datasets used in Yang et al. ACP (2019), especially the model-data comparison data and pTOMCAT's model experimental results. The data include pTOMCAT model output of sea salt aerosol (SSA) and the cruise data from the Weddell Sea, they include blowing snow particles and aerosol number density and regrouped size spectrum over open ocean, marginal sea ice zone and packed sea ice. It also contains monthly sea salt aerosol sodium concentrations at eight polar sites in both northern and southern hemispheres: Alert, Barrow, Summit, Palmer, Neumayer, Halley, Kohnen and Concordia (Dome C). The Weddell Sea particle data (both blowing snow and aerosol) are from 29m above the sea level (not including near surface data). The data period only covers 13 June-26 July 2013. To get access to a full cruise dataset, see the companion paper by Frey et al. (2019) and the DOI link. This study was supported by NERC-funded BLOWSEA project (NE/J023051/1) and the German RV Polarstern.

  • This gridded dataset contains the revised bathymetry model beneath the Brunt Ice Shelf and Stancomb-Wills Glacier Tongue, Antarctica, The revised bathymetric model integrates existing direct bathymetry observations and free air gravity anomaly data to provide the best possible estimate of sub-ice shelf bathymetry. The input direct bathymetric/topographic observations, observation locations, and the input free air compilation are also available as additional separate grid files. All files are provided in NetCDF format in Antarctic Polar Stereographic (EPSG:3031) projection with a horizontal resolution of 2km. The output bathymetry model (Final_adjusted_topography.nc), input topographic observations (Topographic_value_grid.nc) and input topographic observation coverage (Topographic_observation_coverage.nc) have elevation values of metres, positive upwards. The input free air gravity anomaly grid (Brunt_FAA_compilation_grid.nc) has values of mGal. The bathymetric model was produced for the paper of Hodgson et al., (2019) investigating the past and future dynamics of the Brunt Ice Shelf. The publication reference is; Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018.

  • This dataset contains sea-air methane flux data from January 2019 to March 2021 measured using a Picarro G2311-f greenhouse gas analyser onboard RRS James Clark Ross, in the Southern Ocean, Arctic Ocean and Atlantic Ocean. The fluxes are 2 hour averaged and have been filtered based on wind direction to data corresponding to wind coming from behind the ship to remove sources of pollution from the ship stack. Limit of detection for the flux data are calculated for each cruise by multiplying the standard deviation of the random noise by three. This work was supported by the Natural Environment Research Council and the ARIES Doctoral Training Partnership (grant no. NE/S007334/1). Royal Holloway, University of London was funded by NERC through grants NE/V000780/1 and NE/N016211/1. Anna E. Jones and Katrin Linse were part of the British Antarctic Survey Polar Science for Planet Earth Programme funded by the Natural Environment Research Council (NERC) [NC-Science]. The measurements from the Royal Research Ship James Clark Ross (JCR) were principally supported by the UK Natural Environment Research Council's ORCHESTRA project (Grant No. NE/N018095/1). The Picarro analyser was funded by the European Space Agency funding (ESA AMT4OceanSatFlux project, Grant No. 4000125730/18/NL/FF/gp). This work further contributes to the NERC MOYA project (Grant No. NE/N015932/1).

  • Comparable deep-water benthos datasets collected by epibenthic sledges (EBS) with an epibenthic and a suprabenthic netsampler in the Atlantic Ocean have been gathered since 2006. They were collected during the international research expeditions: ANDEEP-SYSTCO II, BIOPEARL I, DIVA1-3, IceAGE1-3&RR, IceDIVA1,2, JR275 and Vema-TRANSIT. While EBS diversity data at high taxon level were published for ANDEEP_SYSTCO II, DIVA1-3 and Vema-TRANSIT, unpublished diversity data for BIOPEARL I, IceAGE1-3&RR, IceDIVA1, 2 and JR275 came from sample databases at DZMB Senckenberg and British Antarctic Survey, and are published here for the first time. In total, diversity data for 143 EBS deployments from 13 expeditions were available for analyses based on identification on 50 taxon levels, including phyla, subphyla, classes and orders. During all 13 expeditions EBS with an epibenthic and a suprabenthic netsampler following sampler sizes and height , enabling comparability of samples. This type of EBS was a suitable device for sampling small benthic fauna on and above the seabed, including macrofauna and small-sized megafauna. We analyse pan-Atlantic benthic data from a range (119m - 8338m) of depths. For the pan-Atlantic analyses we defined seven regions to pool EBS locations based on their position North and South of the Equator and to the mid-Atlantic Ridge (MAR): East and West of the MAR, the Vema Fracture Zone as a gap in the MAR, the Southern Ocean south of the MAR and the Puerto Rico Trench as a deep-sea trench. In this study we included data for 41 higher taxa of the initially separated 50 taxa ranging from phyla to orders. The environmental parameters for this study were provided by Bio-ORACLE, which identifies mean values for different physical and chemical variables over a 14 year time period through a combination of satellite and in-situ measurements (2000 - 2014), at a resolution of 5 arcmin. 4 multivariate analyses (principal components analysis, analysis of similarities, similarity of percentages and BioEnv BEST) were carried out on standardised abundances using PRIMER software, the results and parameters of which are presented in this dataset. Funding over the years for the sample collection and analyses was provided by multiple NERC grants and international grants. Katrin Linse, Peter Enderlein and Huw J. Griffiths were part of the British Antarctic Survey Polar Science for Planet Earth Programme funded by The Natural Environment Research Council (NERC) [NC-Science] and included the funding for the RSS James Clark Ross expeditions BIOPEARL I and JR275. This study was directly funded by the IceAGE_RR and IceDIVA grants by the German Science Foundation (DFG) and Bundesministerium fur Bildung und Forschung (BMBF) under grant numbers MSM75 (MerMet17-5), SO280 and SO286 to PIs Saskia Brix, James Taylor and Katrin Linse. Funding for previous expeditions that provided data were: IceAGE1-3, BR3843-3-1& 4-1, & SO276 (MerMet17-6). James Taylor and Karlotta Kurzel were supported via DFG grant GPF 20-3_087 as part of the IceDiva project 2021 - 2022 by DFG. Anne-Nina Lorz was funded by the German Science Foundation Project IceAGE Amphipoda, LO2543/1-1. Additionally, Angelika Brandt was granted funding (SO 237, Forderziffer 03G0237A) by the Bauer Foundation for the VEMA-Transit project. Inmaculada Frutos was supported through the junior research group''Vema TRANSIT. Puerto Rico Trench, Vema Fracture Zone and Abyssal Atlantic Biodiversity Study'' as part of the project ''Biodiversitatnachhaltige Ressourcennutzun'' (Aktenzeichen T237/25054/).