50acb5b7-5b42-44cd-a98e-790bd367f204 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2022-11-16 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Quasi-weekly, year-round oceanographic and ice measurements at the coastal Western Antarctic Peninsula from 1997 to 2018 2022-11-16 creation 2022-11-16 revision 2022-11-16 publication 2022-11-16 released 1.0 https://doi.org/10.5285/50acb5b7-5b42-44cd-a98e-790bd367f204 doi GB/NERC/BAS/PDC/01683 https://data.bas.ac.uk/ NE/R016038/1 award Please cite this item as: Clarke, A., Meredith, M., Venables, H., Hendry, K., Peat, H., ten Hoopen, P., Brandon, M., Henley, S., Annett, A., Leng, M., Arrowsmith, C., Chapman, A., Beaumont, J., Piper, R., Miller, A., Mann, P., Rossetti, H., Massey, A., Souster, T., ... Clement, A. (2022). Quasi-weekly, year-round oceanographic and ice measurements at the coastal Western Antarctic Peninsula from 1997 to 2018 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/50acb5b7-5b42-44cd-a98e-790bd367f204 Year-round measurements of the water column in Ryder Bay, Western Antarctic Peninsula have been collected by the Rothera Marine Assistant and associated researchers, starting in 1997 as part of the Rothera Oceanographic and Biological Time Series (RATS) to assess temporal variability in physical and biogeochemical oceanographic properties. The data were collected using instrumentation deployed from rigid inflatable boats, or through instrumentation deployed through holes cut in the sea ice when the bay is frozen over in winter. Data collected include profiles to about 500m depth with a conductivity-temperature-depth (CTD) system that produces measurements of temperature, salinity, fluorescence and photosynthetically-active radiation (PAR). Individual water samples are collected with a Niskin bottle from a standard 15m depth, with some samples also collected from the surface layer. These individual samples are analysed for size-fractionated chlorophyll, macronutrients (nitrate, nitrite, ammonium, orthophosphate and silicic acid), stable isotopes of oxygen in seawater, and some ancillary parameters. The bottle data have been quality controlled using international reference standards. Profiling and water sample collection occur with quasi-weekly frequency in summer and weekly in winter, but are weather and sea ice dependent. In addition, daily assessments of sea ice concentration and sea ice type are made from nearby Rothera Research Station by visual inspection, to aid interpretation of the ocean data collected. These data constitute one of the longest time series of ocean measurements in Antarctica, with near-unique systematic data collection in winter, within either polar circle. Data collection has been supported since 1997 by the Natural Environment Research Council (NERC) through core funding supplied to the British Antarctic Survey. Since 2017, it has been supported by NERC award "National Capability - Polar Expertise Supporting UK Research" (NE/R016038/1). No credit. completed Clarke, Andrew British Antarctic Survey Researcher author Meredith, Michael British Antarctic Survey Researcher author Venables, Hugh British Antarctic Survey Researcher author Hendry, Katharine British Antarctic Survey Researcher author Peat, Helen British Antarctic Survey Researcher author ten Hoopen, Petra British Antarctic Survey Researcher author Brandon, Mark The Open University Researcher author Henley, Sian University of Edinburgh Researcher author Annett, Amber University of Southampton Researcher author Leng, Melanie British Geological Survey Researcher author Arrowsmith, Carol British Geological Survey Researcher author Chapman, Alice British Antarctic Survey Researcher author Beaumont, Jenny British Antarctic Survey Researcher author Piper, Rayner British Antarctic Survey Researcher author Miller, Andrew British Antarctic Survey Researcher author Mann, Paul British Antarctic Survey Researcher author Rossetti, Helen British Antarctic Survey Researcher author Massey, Ali British Antarctic Survey Researcher author Souster, Terri British Antarctic Survey Researcher author Reeves, Simon British Antarctic Survey Researcher author Fenton, Mairi British Antarctic Survey Researcher author Heiser, Sabrina British Antarctic Survey Researcher author Pountney, Sam British Antarctic Survey Researcher author Reed, Sarah British Antarctic Survey Researcher author Waring, Zoe British Antarctic Survey Researcher author Clark, Marlon British Antarctic Survey Researcher author Bolton, Emma British Antarctic Survey Researcher author Mathews, Ryan British Antarctic Survey Researcher author London, Hollie British Antarctic Survey Researcher author Clement, Alice British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Oceans > Ocean Chemistry > Ammonia EARTH SCIENCE > Oceans > Ocean Chemistry > Chlorophyll EARTH SCIENCE > Oceans > Ocean Chemistry > Nitrate EARTH SCIENCE > Oceans > Ocean Chemistry > Nitrite EARTH SCIENCE > Oceans > Ocean Chemistry > Oxygen EARTH SCIENCE > Oceans > Ocean Chemistry > Phosphate EARTH SCIENCE > Oceans > Ocean Chemistry > Silicate EARTH SCIENCE > Oceans > Ocean Temperature EARTH SCIENCE > Oceans > Salinity/Density EARTH SCIENCE > Oceans > Sea Ice theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher ocean productivity polar biogeochemistry polar oceanography sea ice change sustained ocean observations theme Adelaide Island, Rothera Point Antarctica place Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data are released under the Open Government Licence V3.0: otherRestrictions None. doi doi crossReference doi doi crossReference url url crossReference url url largerWorkCitation textTable eng utf8 environment oceans -68.225 -68.225 -67.57 -67.57 1997-01-01 2017-12-27 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/plain text/csv application/x-hdf bytes 69730304 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=50acb5b7-5b42-44cd-a98e-790bd367f204 WWW:LINK-1.0-http--link Get Data Download data download bytes 69730304 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=50acb5b7-5b42-44cd-a98e-790bd367f204 WWW:LINK-1.0-http--link Get Data Download data download bytes 69730304 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=50acb5b7-5b42-44cd-a98e-790bd367f204 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Profile instrumentation was collected with a self-logging conductivity-temperature-depth (CTD) profiler, deployed from a rigid inflatable boat (RIBs) or sea ice sled and lowered on a hand-turned winch using a Kevlar rope. RIBs departed/returned to nearby Rothera Research Station. During periods of fast-ice cover in winter, profiling was conducted through holes cut in the ice. Three sites were targeted - a primary site (in approximately 500m water depth), a secondary site, and a tertiary site (very close to Rothera). When the primary site was unreachable due to sea ice, the secondary site was occupied, and failing that an approximately 100m cast was carried out somewhere accessible. When weather or ice were prohibitive, no data/samples were collected and there is also a gap due to the CTD being lost to a fire in winter 2001. Data are downloaded upon return to Rothera Research Station. Water samples were collected with a Niskin bottle, closed with a messenger, and either processed in the laboratories at Rothera or stored for shipping back to the UK for analysis. Water samples for macronutrients were filtered and frozen at -20 °C other than Ammonium, which is measured locally. Ammonium: NH4 was measured at Rothera Research Station typically within four hours of collection. From 1997 to 2005 ammonium measurements were carried out using the indophenol technique adapted to utilise dichloroisocyanurate as the chlorine donor and a modified UV incubation (Catalano, 1987). The measurements were calibrated by spiking of triplicate samples with 0.25 to 2.5 µM NH4Cl (Clarke and Leakey, 1996). From 2005, ammonium measurements were carried out using ortho-phthaldialdehyde (OPA) and fluorometry (Holmes et al., 1999). Sample measurements were carried out in triplicate, and calibrated using standard addition comprising four concentrations, also in triplicate (Clarke et al., 2008). Other macronutrients: Nitrate (NO3), nitrite (NO2), orthophosphate (PO4) and silicic acid (Si(OH)4) were measured in the UK using a standard nutrient autoanalyser approach (Strickland and Parsons, 1968). From 1998 to 2017, the samples were measured at National Oceanography Centre, Southampton; from 2017 to 2018, the samples were measured at the Plymouth Marine Laboratory. Chlorophyll: Collected water samples were gently mixed by inversion, and triplicate samples (100 ml in summer and 500ml in winter) were filtered immediately on return to the research station by gravity through sequential 47 mm filters as follows: i) Microphytoplankton (>20 µm nylon mesh), ii) Large nanophytoplankton (5 to 20 µm membrane filter), iii) Small nanophytoplankton (2 to 5 µm membrane filter) Picophytoplankton (0.2 to 2 µm membrane filter). Pigments were extracted into chloroform/methanol (Wood, 1985) and measured by fluorometry before and after addition of two drops of 0.1N HCl under low light levels. Calibration is carried out twice a year using chlorophyll a standards, with samples diluted as required during strong phytoplankton blooms to reduce the range of values measured. The ratio of fluorescence before and after acidification is used to assess the reliability of the phaeopigement data. All data are reported as chlorophyll a (calculated as total chlorophyll minus phaeopigment; Clarke et al., 2008). Oxygen isotopes: Unfiltered samples were stored in capped and sealed glass bottles with rubber inserts and minimal head space, and stored in the dark at +4 °C during transport to the UK (Meredith et al., 2008). The samples were measured for oxygen isotopes using the CO2 equilibration method for oxygen (Epstein and Mayeda, 1953) in triplicate (Natural Environment Research Council Isotope Geosciences Laboratory, Keyworth, UK). Data collection: CTD: until 2003, a Chelsea Instruments Aquapak was used, with sampling to 200m due to the depth rating. Since then an SBE19 and SBE19+ have been alternated between use on station and servicing in the UK. These have been calibrated during servicing and compared with an SBE911+ CTD on board R/V Laurence M. Gould on joint casts (SBE19 tied to frame) and samples analysed on a Guildline Autosal 8400B Laboratory Salinometer Ammonium: samples were measured on a Turner TD-700 fluorometer. Macronutrients: from 1998 to 2017, samples were analysed on QuAAtro39 segmented flow auto-analyser at NOCS https://www.southampton.ac.uk/oes/research/facilities/dissolved-inorganic-and-organic-nutrient.page . From 2017 to 2018, samples were analysed on a SEAL analytical AAIII segmented flow colorimetric auto-analyser (Woodward and Rees, 2001). Chlorophyll: samples were measured on a Turner AU-10 fluorometer. Oxygen isotopes: From 1998 to 2012, the delta-O-18 measurements were made with a SIRA 10 mass spectrometer plus Isoprep18 device. From 2012 to 2017, the delta-O-18 measurements were made with an Isoprime 100 mass spectrometer plus Aquaprep device. Data quality: Salinity (and therefore effectively Density) In polar waters, with temperatures below approximately 4°C, density profiles largely follow the shape of the salinity profile. This means that salinity checks can also include density profile checks and the dynamical unlikeliness of density overturns. There are a limited number of casts with significant density overturns. As these would make the profiles unstable (dense water above less dense water) then is almost all cases they can be ascribed to sensor problems. They can happen throughout a profile but are more common at the surface of bottom of the profile. They were filtered by looking for an overturn of >0.05 kg m3 and also by looking for unusually large deviations between different mixed layer depth calculations (including using the 10m depth as the reference value). Spikes are then identified and removed manually in salinity in the initial processing (rats_cnv2mat). This is usually between 1 and 7 metres of data, though some profiles are completely removed (including events 1495 and 1999), where pump problems make all data invalid. The precision of the salinity data is ensured by salinity samples being collected and by joint casts between the RATS CTD(s) and that on the R/V Laurence M Gould, with adjustments applied in initial processing. Temperature Temperature has little effect on density in the range encountered and is therefore free to vary both up and down with depth such that there is no way to ascribe a profile to be physically implausible. The temperature data has been very robust, with no suspicious profiles and very tight matches in all joint casts, it is therefore presented as recorded, except for profiles with pump profiles, where the temperature looks less wrong than salinity but the depth the data is recorded at could be significantly different to the depth the water actually was when it entered the CTD. PAR From 2017 there have been repeating problems with the PAR sensors, despite servicing and changing sensors. Some values at depth are easily filtered as impossible but other times the values are within bounds, but the shape of the profile is unlikely. There are standard sampling issues, caused by the shade of the boat, ice and clouds, that means light can increase rapidly with time and/or depth. This makes filtering the problem profiles harder, without removing data where the sensor is working well. Often the shape of the profile is more important than the absolute values so these profiles that increase with depth are of reduced value. The first filtering is to use a mask created from the first 700 events and also remove values <-1. This removes wild numbers, accounting for the variability driven by weather and attenuation (which can vary considerably with phytoplankton concentration). Away from changing shading/cloud conditions the expectation is for an exponential dropoff of PAR with depth, and so significant deviations from this can flag up potentially problematic profiles. Estimations of attenuation from PAR profiles are calculated by fitting a regression line to log(PAR) in overlapping 5m depth intervals down the profile. Checking profiles with negative 'attenuation' catches further profiles that are judged to be problematic due to the sensor (rather than natural effects) and these PAR profiles are removed after individual checking. Two profiles in 2015 (1667, 1673) show very unlikely increases at depth. Given the similarities and closeness of the profiles these have been deemed a sensor problem and also removed, despite being before the period of regular problems. Mixed layer depth (derived variable) Mixed layer depth is sensitive to the definition used, which is inevitably a processing choice, with no outright correct answer. Profile-by-profile checking has shown that the use of a 0.05 kg m3 density difference criterion gives a good match ...(46) asNeeded completed