7.3.3.14. IceNet Dataloader

IceNet is a seasonal sea ice forecasting tool being developed by researchers at the British Antarctic Survey. From the website:

IceNet is a probabilistic, deep learning sea ice forecasting system developed by an international team and led by British Antarctic Survey and The Alan Turing Institute [Andersson et al., 2021]. IceNet has been trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.

Name in config: 'icenet'

Data for IceNet V1 is available from here Data for IceNet V2 is not publicly available.

class meshiphi.dataloaders.scalar.icenet.IceNetDataLoader(bounds, params)

import_data(bounds)

Reads in data from a IceNet 2 NetCDF file. Renames coordinates to ‘lat’ and ‘long’, and renames variable to ‘SIC’

Parameters:

bounds (Boundary) – Initial boundary to limit the dataset to

Returns:

IceNet dataset within limits of bounds. Dataset has coordinates ‘lat’, ‘long’, and variable ‘SIC’

Return type:

pd.DataFrame