Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations
Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. The latest suite of CMIP5 Global Climate Models (GCMs) produce a wide range of simulated SIT in the historical period (1979 – 2014) and exhib...
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ftunivreadingrda:oai:researchdata.reading.ac.uk:9 2024-06-23T07:48:26+00:00 Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations Melia, Nathanael 2015 archive https://researchdata.reading.ac.uk/9/ https://researchdata.reading.ac.uk/9/1/MAVRIC_NetCDF.zip en eng University of Reading https://researchdata.reading.ac.uk/9/1/MAVRIC_NetCDF.zip Melia, Nathanael <https://researchdata.reading.ac.uk/view/creators/Melia=3ANathanael=3A=3A.html> (2015): Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.9 <https://doi.org/10.17864/1947.9> cc_by_nc_4 Dataset NonPeerReviewed 2015 ftunivreadingrda https://doi.org/10.17864/1947.9 2024-06-10T23:38:48Z Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. The latest suite of CMIP5 Global Climate Models (GCMs) produce a wide range of simulated SIT in the historical period (1979 – 2014) and exhibit various biases when compared with the Pan-Arctic Ice Ocean Modelling and Assimilation System (PIOMAS) sea ice reanalysis. We present a new method to constrain such GCM simulations of SIT to narrow projection uncertainty via a statistical bias correction technique. This method is applied to six GCMs from CMIP5, the outputs of which are available in this dataset. Results are reported in: Melia, N., Haines, K., and Hawkins, E.: Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations, The Cryosphere Discuss., 9, 3821-3857, doi:10.5194/tcd-9-3821-2015, 2015. Text Arctic Arctic Sea ice University of Reading Research Data Archive Arctic |
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University of Reading Research Data Archive |
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English |
description |
Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. The latest suite of CMIP5 Global Climate Models (GCMs) produce a wide range of simulated SIT in the historical period (1979 – 2014) and exhibit various biases when compared with the Pan-Arctic Ice Ocean Modelling and Assimilation System (PIOMAS) sea ice reanalysis. We present a new method to constrain such GCM simulations of SIT to narrow projection uncertainty via a statistical bias correction technique. This method is applied to six GCMs from CMIP5, the outputs of which are available in this dataset. Results are reported in: Melia, N., Haines, K., and Hawkins, E.: Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations, The Cryosphere Discuss., 9, 3821-3857, doi:10.5194/tcd-9-3821-2015, 2015. |
format |
Text |
author |
Melia, Nathanael |
spellingShingle |
Melia, Nathanael Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
author_facet |
Melia, Nathanael |
author_sort |
Melia, Nathanael |
title |
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
title_short |
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
title_full |
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
title_fullStr |
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
title_full_unstemmed |
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations |
title_sort |
improved arctic sea ice thickness projections using bias corrected cmip5 simulations |
publisher |
University of Reading |
publishDate |
2015 |
url |
https://researchdata.reading.ac.uk/9/ https://researchdata.reading.ac.uk/9/1/MAVRIC_NetCDF.zip |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_relation |
https://researchdata.reading.ac.uk/9/1/MAVRIC_NetCDF.zip Melia, Nathanael <https://researchdata.reading.ac.uk/view/creators/Melia=3ANathanael=3A=3A.html> (2015): Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.9 <https://doi.org/10.17864/1947.9> |
op_rights |
cc_by_nc_4 |
op_doi |
https://doi.org/10.17864/1947.9 |
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1802638848547618816 |