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