Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020
This dataset includes statistically resampled monthly time series data of Arctic sea ice area and gridded data for March and September for sea ice concentration for a selection of large ensemble climate models and observational datasets. Arctic sea ice concentrations and areas are resampled from all...
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Arctic Data Center
2022
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Online Access: | https://doi.org/10.18739/A2H98ZF3T |
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dataone:doi:10.18739/A2H98ZF3T 2024-06-03T18:46:33+00:00 Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 Christopher Wyburn-Powell Arctic Ocean and the adjacent seas containing sea ice ENVELOPE(-180.0,180.0,90.0,30.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2020-12-31T00:00:00Z 2022-01-01T00:00:00Z https://doi.org/10.18739/A2H98ZF3T unknown Arctic Data Center Sea Ice Concentration Coupled Climate Models Satellite Observations CMIP5 Large Ensemble Dataset 2022 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2H98ZF3T 2024-06-03T18:18:31Z This dataset includes statistically resampled monthly time series data of Arctic sea ice area and gridded data for March and September for sea ice concentration for a selection of large ensemble climate models and observational datasets. Arctic sea ice concentrations and areas are resampled from all available members of six coupled climate models from the Coupled Model Intercomparison Project 5 (CMIP5). These six models are: The second generation Canadian Earth System Model (CanESM2), The Community Earth System Mode version 1 (CESM1), The Commonwealth Scientific and Industrial Research Organisation Global Climate Model Mark 3.6 (CSIRO MK3.6), The Geophysical Fluid Dynamics Laboratory Coupled Climate Model version 3 (GFDL CM3), Geophysical Fluid Dynamics Laboratory Earth System Model version 2 with Modular Ocean Model version 4.1 (GFDL ESM2M), Max Planck Institute Earth System Model version 1 (MPI ESM1). The Four observational datasets are The Hadley Centre Sea Ice and Sea Surface Temperature data set version 1 (HadISST1), The National Oceanic and Atmospheric Administration and National Snow and Ice Data Center Climate Data Record Version 4 (CDR), The The National Aeronautics and Space Administration Team Algorithm (NT), and the The National Aeronautics and Space Administration Bootstrap Team Algorithm (BT). The sea ice area data is resampled 10,000 times and then the standard deviation of those resamplings is calculated, which can be considered analagous to interannual variability of sea ice area (SIA). The standard deviation (sigma) and mean (mu) of these data represent the variability and typical values respectively of interannual variability found in each ensemble member or observational dataset. Sea ice concentration is resampled 1000 times with the same standard deviation and mean metrics for sea ice concentration. This dataset was created to evaluate climate model projections of Arctic sea ice interannual variability and is used in the article Wyburn-Powell, Jahn, England (2022), Modeled Interannual Variability of Arctic Sea Ice Cover is Within Observational Uncertainty, Journal of Climate, https://doi.org/10.1175/JCLI-D-21-0958.1. This work was conducted at the University of Colorado Boulder from 2020-2022. The figures from the Journal of Climate article can be reproduced from the following datasets. The code used to create the datasets can be located at https://www.doi.org/10.5281/zenodo.6687725. - Figure 1: Sigma_obs_SIA.nc - Figure 2: Sigma_obs_SIA.nc, Mu_obs_SIA.nc, Sigma_mem_SIA.nc, Mu_mem_SIA.nc - Figure 3: Sigma_mem_varying_time_periods_1965_2066_03.nc, Sigma_LE_varying_time_periods_1965_2066_03.nc, Sigma_LE_varying_time_periods_1970_2040_09.nc, Sigma_obs_varying_time_periods_1953_2020.nc - Figure 4: Sigma_obs_SIA.nc, Sigma_mem_SIA.nc - Figure 5: Sigma_obs_SIA.nc - Figure 6: <model_name>_resampled_0<month>_individual.nc, <observational_dataset>_resampled_individual_1979_2020_03_09.nc - Figure 7: Sigma_obs_SIA.nc, Mu_obs_SIA.nc, Sigma_mem_SIA.nc, Mu_mem_SIA.nc - Figure 8: <model_name>_resampled_0<month>_individual.nc, <observational_dataset>_resampled_individual_1979_2020_03_09.nc - Figure 9: Sigma_mem_SIA.nc, Sigma_LE_SIA.nc Dataset Arctic Arctic Ocean National Snow and Ice Data Center Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean ENVELOPE(-180.0,180.0,90.0,30.0) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
Sea Ice Concentration Coupled Climate Models Satellite Observations CMIP5 Large Ensemble |
spellingShingle |
Sea Ice Concentration Coupled Climate Models Satellite Observations CMIP5 Large Ensemble Christopher Wyburn-Powell Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
topic_facet |
Sea Ice Concentration Coupled Climate Models Satellite Observations CMIP5 Large Ensemble |
description |
This dataset includes statistically resampled monthly time series data of Arctic sea ice area and gridded data for March and September for sea ice concentration for a selection of large ensemble climate models and observational datasets. Arctic sea ice concentrations and areas are resampled from all available members of six coupled climate models from the Coupled Model Intercomparison Project 5 (CMIP5). These six models are: The second generation Canadian Earth System Model (CanESM2), The Community Earth System Mode version 1 (CESM1), The Commonwealth Scientific and Industrial Research Organisation Global Climate Model Mark 3.6 (CSIRO MK3.6), The Geophysical Fluid Dynamics Laboratory Coupled Climate Model version 3 (GFDL CM3), Geophysical Fluid Dynamics Laboratory Earth System Model version 2 with Modular Ocean Model version 4.1 (GFDL ESM2M), Max Planck Institute Earth System Model version 1 (MPI ESM1). The Four observational datasets are The Hadley Centre Sea Ice and Sea Surface Temperature data set version 1 (HadISST1), The National Oceanic and Atmospheric Administration and National Snow and Ice Data Center Climate Data Record Version 4 (CDR), The The National Aeronautics and Space Administration Team Algorithm (NT), and the The National Aeronautics and Space Administration Bootstrap Team Algorithm (BT). The sea ice area data is resampled 10,000 times and then the standard deviation of those resamplings is calculated, which can be considered analagous to interannual variability of sea ice area (SIA). The standard deviation (sigma) and mean (mu) of these data represent the variability and typical values respectively of interannual variability found in each ensemble member or observational dataset. Sea ice concentration is resampled 1000 times with the same standard deviation and mean metrics for sea ice concentration. This dataset was created to evaluate climate model projections of Arctic sea ice interannual variability and is used in the article Wyburn-Powell, Jahn, England (2022), Modeled Interannual Variability of Arctic Sea Ice Cover is Within Observational Uncertainty, Journal of Climate, https://doi.org/10.1175/JCLI-D-21-0958.1. This work was conducted at the University of Colorado Boulder from 2020-2022. The figures from the Journal of Climate article can be reproduced from the following datasets. The code used to create the datasets can be located at https://www.doi.org/10.5281/zenodo.6687725. - Figure 1: Sigma_obs_SIA.nc - Figure 2: Sigma_obs_SIA.nc, Mu_obs_SIA.nc, Sigma_mem_SIA.nc, Mu_mem_SIA.nc - Figure 3: Sigma_mem_varying_time_periods_1965_2066_03.nc, Sigma_LE_varying_time_periods_1965_2066_03.nc, Sigma_LE_varying_time_periods_1970_2040_09.nc, Sigma_obs_varying_time_periods_1953_2020.nc - Figure 4: Sigma_obs_SIA.nc, Sigma_mem_SIA.nc - Figure 5: Sigma_obs_SIA.nc - Figure 6: <model_name>_resampled_0<month>_individual.nc, <observational_dataset>_resampled_individual_1979_2020_03_09.nc - Figure 7: Sigma_obs_SIA.nc, Mu_obs_SIA.nc, Sigma_mem_SIA.nc, Mu_mem_SIA.nc - Figure 8: <model_name>_resampled_0<month>_individual.nc, <observational_dataset>_resampled_individual_1979_2020_03_09.nc - Figure 9: Sigma_mem_SIA.nc, Sigma_LE_SIA.nc |
format |
Dataset |
author |
Christopher Wyburn-Powell |
author_facet |
Christopher Wyburn-Powell |
author_sort |
Christopher Wyburn-Powell |
title |
Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
title_short |
Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
title_full |
Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
title_fullStr |
Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
title_full_unstemmed |
Interannual variability of Arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
title_sort |
interannual variability of arctic sea ice concentration and area for six climate model large ensembles and four observational datasets, 1979-2020 |
publisher |
Arctic Data Center |
publishDate |
2022 |
url |
https://doi.org/10.18739/A2H98ZF3T |
op_coverage |
Arctic Ocean and the adjacent seas containing sea ice ENVELOPE(-180.0,180.0,90.0,30.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2020-12-31T00:00:00Z |
long_lat |
ENVELOPE(-180.0,180.0,90.0,30.0) |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean National Snow and Ice Data Center Sea ice |
genre_facet |
Arctic Arctic Ocean National Snow and Ice Data Center Sea ice |
op_doi |
https://doi.org/10.18739/A2H98ZF3T |
_version_ |
1800867725116964864 |