SEA ICE CLIMATOLOGY AND TREND

Figure number: Figure 3.20 From the IPCC Working Group I Contribution to the Sixth Assessment Report: Chapter 3

Description:

It is a scatter plot, there are four panels (2x2). The upper row has CMIP5 data, the lower one shows CMIP6 data. The left column depicts Arctic sea ice area (SIA) for September, while the right one shows Antarctic SIA in February.

Caption: Mean (x-axis) and trend (y-axis) in Arctic sea ice area (SIA) in September (left) and Antarctic SIA in February (right) for 1979-2017 from CMIP5 (upper) and CMIP6 (lower) models. All individual models (ensemble means) and the multi-model mean values are compared with the observations (OSISAF, NASA Team, and Bootstrap). Solid line indicates a linear regression slope with corresponding correlation coefficient (r) and p-value provided. Note the different scales used on the y-axis for Arctic and Antarctic SIA. Results remain essentially the same when using sea ice extent (SIE).

Author list:

• Elizaveta Malinina: ECCC, Canada, elizaveta.malinina-rieger@canada.ca, githubid: malininae
• Seung-Ki Min: Pohan University of Science and Technology, Korea
• Yeon-Hee Kim: Pohan University of Science and Technology, Korea
• Nathan Gillett: ECCC, Canada

ESMValTool Branch:

• ESMValTool-AR6-OriginalCode-FinalFigures: ar6_chapter3_cryo_xcb32

ESMValCore Branch:

NB!: Technically a new repository for ESMValCore wasn't created, just the custom variables were added into the esmvalcore distributed with conda.

These tables were added to anaconda3/envs/esmvaltool/lib/python3.8/site-packages/esmvalcore/cmor/tables/custom/

The siarean and siareas tables needed for running this diagnostic are located in this repository.

Recipe & diagnostics:

Recipe used: recipes/recipe_ipcc_ar6_wg1_fgd_sea_ice_joint.yml

Diagnostic used: seaice/seaice/sie_ipcc_ar6_wg1_fgd_3_18.py

Expected image path:

This is the path of the image relative to the automatically generated ESMValTool output location:

• recipe_ipcc_ar6_wg1_fgd_sea_ice_joint_YYYYMMDD_HHMMSS/plots/ipcc_ar6_wg1_fgd_3_18/ipcc_ar6_wg1_fgd_3_18/fig_3_18_scatter.png

Recipe generations tools:

N/A

Additional datasets:

There were three additional datasets used downloaded at https://www.fdr.uni-hamburg.de/record/8559#.YG5C5ehKg2w . Following files should be used: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc, SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc. The data is distributed under Creative Commons Attribution 4.0 International.

These datasets were cmorized by cmorizers/obs/cmorize_obs_uhh_sia.py. Since the original dataset file contains three products, the results are stored in cmorize_obs_YYYYMMDD_HHMMSS/Tier2/UHH-SIA/$dataset_name$ The $dataset_name$ folder should be moved to the observational dataset folder under OBS/Tier2/$dataset_name$ skipping the UHH-SIA level.

Software description:

The software from Mistral:

• ESMValTool environment file: IPCC_environments/mistral_cryo_and_xcb32_conda_environment.yml
• pip file: IPCC_environments/mistral_cryo_and_xcb32_pip_environment.txt

The software from Liza's computer:

• ESMValTool environment file: IPCC_environments/liza_dell_computer_conda_environment.yml
• pip file: IPCC_environments/liza_dell_computer_pip_environment.txt

Hardware description:

The data was processed on Mistral, the final version was pre-processed on the 5th of March 2021 at 16:40:18 UTC. Some minor "cosmetic" edits were done on Liza's dell laptop the same day.