Winter Arctic sea ice state variability (updates through to April 2022)

Summary: In this notebook, we provide updates to the original winter Arctic sea ice thickness notebooks with an additional winter (2021-2022) of data collection. Here we read the IS2SITMOGR4 files from our AWS S3 bucket, instead of our aggregated Jupyter Book dataset. I generally focus on showing the ‘’smoothed/interpolated’ variables, whereas Petty et al., (2023) focussed more on the non-interpolated gridded data. Once we produce an updated aggregated Jupyter Book dataset we can update this notebook with those additional variables.

Version history: Version 1 (01/23/2023)

Import notebook dependencies

# For working with gridded climate data 
import xarray as xr 
# Helper function for reading the data from the bucket
from utils.read_data_utils import read_IS2SITMOGR4 
from utils.plotting_utils import static_winter_comparison_lineplot, staticArcticMaps, staticArcticMaps_overlayDrifts, interactiveArcticMaps, compute_gridcell_winter_means, interactive_winter_comparison_lineplot # Plotting utils 
import numpy as np
# Plotting dependencies
#%config InlineBackend.figure_format = 'retina'
import matplotlib as mpl
# Sets figure size in the notebook
mpl.rcParams['figure.dpi'] = 150 

# Remove warnings to improve display
import warnings 
warnings.filterwarnings('ignore')