9536f22e-37dd-4f37-948b-e19c70e15292 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 2018-03-13 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 Polar Weather Research and Forecasting (WRF) simulation of West Antarctic climate, summer 1980-2015 2018-03-13 creation 2018-03-13 revision 2018-03-13 publication 2018-03-13 released None https://doi.org/10.5285/9536f22e-37dd-4f37-948b-e19c70e15292 doi GB/NERC/BAS/PDC/01071 https://data.bas.ac.uk/ NE/K00445X/1 award Please cite this item as: Deb, P., Orr, A., & Turner, J. (2018). Polar Weather Research and Forecasting (WRF) simulation of West Antarctic climate, summer 1980-2015 (Version None) [Data set]. Polar Data Centre, Natural Environment Research Council, UK. https://doi.org/10.5285/9536f22e-37dd-4f37-948b-e19c70e15292 High-resolution simulation of summer climate over West Antarctica using the Polar-optimised version of the Weather Research and Forecasting (WRF) model conducted at British Antarctic Survey, Cambridge, UK. Runs are conducted for summer (January-centred) 1980-2015, i.e. from December 1979 to February 2015, for December, January and February (DJF). Experiments were carried out for the NERC West Antarctic Grant (NE/K00445X/1) during 2014-2017. The project is aimed at understanding the variability and climatology over the West Antarctic ice sheet and ice shelves as well as to project the future change over the twenty-first century. The model outer domain encompasses the West Antarctic ice sheet and a large part of the surrounding ocean at 45 km horizontal grid spacing, and the nested (one-way) inner domain covers the Amundsen Sea Embayment at 15 km grid spacing. The model uses vertical eta coordinates with both domains have a model top of 50 hPa, and 30 vertical levels. No credit. completed Deb, Pranab University of East Anglia Researcher author Orr, Andrew British Antarctic Survey Researcher author Turner, John British Antarctic Survey Researcher author Phillips, Tony 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 > Atmosphere > Atmospheric Pressure > Surface Pressure EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Surface Air Temperature EARTH SCIENCE > Atmosphere > Atmospheric Winds > Boundary Layer Winds EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Amount EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets 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 Polar WRF West Antarctica high-resolution regional modelling hindcast theme West Antarctica Antarctica place Atmospheric conditions Elevation 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 DATA REFERENCE Deb, P., Orr, A. & Turner, J. "Polar Weather Research and Forecasting (WRF) simulation of West Antarctic climate, summer 1980-2015" (2018) Polar Data Centre, Natural Environment Research Council, UK doi:10.5285/9536f22e-37dd-4f37-948b-e19c70e15292 LITERATURE REFERENCE Deb et al., 2016 and Deb et al., 2018. otherRestrictions No restrictions apply. url url crossReference doi doi crossReference textTable eng utf8 climatologyMeteorologyAtmosphere -90.0 -90.0 -80.0 -80.0 1979-12-01 2015-02-28 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 bytes 1 https://ramadda.data.bas.ac.uk/repository/entry/show/?entryid=9536f22e-37dd-4f37-948b-e19c70e15292 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The model uses the recommended configuration of version 3.5.1 of the polar modified Weather Research and Forecasting model (known as "Polar WRF"; Bromwich et al., 2013) for West Antarctica described by Deb et al. (2016). The model physics employed are - the WRF Single Moment 5-Class (WSM5) cloud microphysics scheme, the Mellor-Yamada-Janjic (MYJ) boundary layer scheme, the Rapid Radiative Transfer Model for General Circulation Models (RRTMG), and the Noah land surface model. The model outer domain encompasses the West Antarctic ice sheet and a large part of the surrounding ocean with 74 x 61 grid points at 45 km horizontal grid spacing centred on the point 72.7°S, 118.5°W, and the nested (one-way) inner domain covers the Amundssen Sea Embayment with 132 × 111 grid points at 15 km grid spacing centred on the point 73.5°S, 118.4°W. Both grids are defined on a polar stereographic projection with straight vertical longitude 120.5°W and latitude of true scale 70°S. The inner domain has longitude extremes at 164.1°W and 73.1°W, and latitude extremes at 81.1°S and 64.3°S (though the grid, being rectangular in polar stereographic space, does not completely fill this extent). In the vertical, both domains extend from the surface to 50 hPa, with 30 vertical levels. The model employs spectral nudging (outer domain and wave numbers 1-5 only, from approximately 1.5 km to the model top), high-resolution orography based on the Bedmap2 dataset, and meteorological forcing from ERA-Interim reanalysis (Dee et al., 2011). Additionally, the surface boundary forcing of the model includes daily satellite observations of sea ice concentration (based on the 25 km resolution Bootstrap data set; Comiso, 2000) and sea surface temperature (based on the 0.25° Advanced Very High Resolution Radiometer (AVHRR) data set; Casey et al., 2010). The hindcast was produced by running separate simulations for each of the summer months from December 1979 to February 2015 (with 24 hr spin up). Python 2.7.3 version was used for post-processing. The netCDF4 library was used to extract the hourly model data and produce the monthly means (using the NumPy Python library). The monthly means were stored in binary npz format which can be easily loaded on Python. See the following link on how to save and load npz files on Python: https://docs.scipy.org/doc/numpy/reference/routines.io.html#numpy-binary-files-npy-npz asNeeded completed