4337ee2a-b428-4f78-a694-7c8b8e41d4bf 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 2020-04-27 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 Dataset from iWS 18 in Cabinet Inlet, Larsen C Ice Shelf, Antarctica, 2014-2017 - VERSION 2.0 2020-04-27 creation 2020-04-27 revision 2020-04-27 publication 2020-04-27 released 2.0 https://doi.org/10.5285/4337ee2a-b428-4f78-a694-7c8b8e41d4bf doi GB/NERC/BAS/PDC/01324 https://data.bas.ac.uk/ NE/L005409/1 award Please cite this item as: Bevan, S., Kuipers Munneke, P., Luckman, A., Smeets, P., & van den Broeke, M. (2020). Dataset from iWS 18 in Cabinet Inlet, Larsen C Ice Shelf, Antarctica, 2014-2017 - VERSION 2.0 (Version 2.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/4337ee2a-b428-4f78-a694-7c8b8e41d4bf The data consists of 30 minute observations recorded by an automatic weather station (iWS 18) in Cabinet Inlet on Larsen C Ice Shelf on the Antarctic Peninsula. The iWS consists of a custom-built weather station unit, assembled at the Institute of Marine and Atmospheric research Utrecht (IMAU). There are sensors for air temperature, surface air pressure, relative humidity, as well as a GPS, an acoustic snow height sensor, an ARGOS communication antenna, and three Lithium batteries that fuel the unit when solar radiation is absent. The unit is complemented by a propeller-vane Young anemometer measuring wind direction and speed. Additionally, all radiation fluxes are measured with a Kipp and Zonen CNR4 radiometer. This dataset runs from 25 November 2014 to 13 November 2017. Funding was provided by the NERC grant NE/L005409/1. No credit. completed Bevan, Suzanne Swansea University Researcher author Kuipers Munneke, Peter Institute for Marine and Atmospheric research Utrecht (IMAU) Researcher author Luckman, Adrian Swansea University Researcher author Smeets, Paul Institute for Marine and Atmospheric research Utrecht (IMAU) Researcher author van den Broeke, Michiel Institute for Marine and Atmospheric research Utrecht (IMAU) 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 > Atmosphere > Atmospheric Pressure > Surface Pressure EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature EARTH SCIENCE > Atmosphere > Atmospheric Water Vapor > Humidity EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Climate Indicators > Air Temperature Indices EARTH SCIENCE > Climate Indicators > Humidity Indices 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 Automatic weather station Larsen C Ice Shelf theme Cabinet Inlet, Larsen C Ice Shelf Antarctica place Atmospheric conditions Elevation Meteorological 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 This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions This data is governed by the NERC data policy and supplied under Open Government Licence v3 otherRestrictions No restrictions apply. doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference textTable eng utf8 climatologyMeteorologyAtmosphere environment -63.3711 -63.3711 -66.4023 -66.4023 2014-11-25 2017-11-13 70.0 70.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. 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 bytes 8283750 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4337ee2a-b428-4f78-a694-7c8b8e41d4bf WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: IMAU iWS 18 has sensors for air and surface temperature, air pressure and humidity, as well as an acoustic snow height sensor, a propeller-vane anemometer measuring wind direction and speed, and a radiometer for measuring downward and upward shortwave and longwave radiative fluxes. The Incoming and Reflected SW and LW fluxes provided are corrected values. A bulk-algorithm-based SEB model (described in Kuipers Munneke et al., 2009) has been used to derive surface sensible and latent heat fluxes and the ground heat flux. The energy available for melt is also derived from this model, given as the SEB residual when the surface temperature, Tsfc, is above freezing point. Compared to direct eddy correlation observations of turbulent fluxes (e.g., by using a 3-D ultrasonic anemometer), the bulk method that we apply to the AWS observations yields similar results with a root-mean-square difference of typically 3-4 W m-2 at Antarctic sites experiencing frequent air flow (e.g. Van den Broeke et al., 2005). With the wind sensor being at a height of 2-3 m, the bulk method captures most of the turbulent eddies while at the same time not severely violating the assumption of constant flux in the layer between the surface and the instrument height. For further details see Elvidge et al. (2020). Data collection: The iWS consists of a custom-built weather station unit, assembled at the Institute of Marine and Atmospheric research Utrecht (IMAU). The unit consists of a 3D-printed plastic housing with an array of miniature solar panels on top. In the housing, there are sensors for air temperature, surface air pressure, relative humidity, as well as a GPS, an acoustic snow height sensor, an ARGOS communication antenna, and three Lithium batteries that fuel the unit when solar radiation is absent. The unit is complemented by a propeller-vane Young anemometer measuring wind direction and speed. Additionally, all radiation fluxes are measured with a Kipp and Zonen CNR4 radiometer. Due to malfunctioning, no subsurface temperature measurements are available. Data quality: A number of corrections and adjustments to the raw data were applied for this dataset. For further details see Elvidge et al. (2020). 1) The temperature sensor is not artificially ventilated. This leads to a positive bias in temperature measurements under conditions of high insolation and low wind speed. Simultaneous observations from a thin-wire thermocouple provided a correction procedure, detailed in Smeets et al. (2018). 2) The relative humidity sensor is placed within the unit and experiences elevated temperature under sunny conditions. Internally-observed temperature of the sensor allows the calculation of a dew point, which gives a relative humidity for the observed air temperature. Next, relative humidity is corrected for observations over ice rather than over water. And finally, a well-known underestimation of RH-observations at low temperatures is corrected for by fitting a polynomial through the upper percentile of data and define that polynomial as a RH of 100%. Relative humidity can sometimes greatly exceed 100%, especially in very cold conditions. It is unknown if this is a sensor characteristic or real supersaturation. If required, RH can be capped at 100% without a large error in the corresponding absolute, specific humidity. 3) Longwave radiation observations are corrected for the internal instrument temperature, and for window heating under high insolation conditions. 4) Acoustic snow height observations are corrected for the dependency of sound propagation on air temperature. 5) A few small data 30- to 60-minute data gaps were filled by linear interpolation. asNeeded completed