Data from: Machine learning for daily forecasts of Arctic sea-ice motion: an attribution assessment of model predictive skill ...

With the aim of using machine learning as a tool to predict and understand sea-ice motion in the Arctic on one-day timescales, these data include processed satellite and reanalysis measurements of sea-ice velocity, sea-ice concentration, and wind velocity. Also included are outputs from statistical...

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Bibliographic Details
Main Authors: Hoffman, Lauren, Mazloff, Matthew R., Gille, Sarah T., Giglio, Donata, Bitz, Cecilia M., Heimbach, Patrick, Matsuyoshi, Kayli.
Format: Dataset
Language:unknown
Published: UC San Diego Library Digital Collections 2023
Subjects:
Wind velocity
Algorithm: Supervised learning
Operational forecasting
Task: Forecasting
Sea-ice velocity
Prediction
Arctic Ocean
Machine learning
Task: Regression
Arctic
Sea ice
Online Access:https://dx.doi.org/10.6075/j0x06774
https://library.ucsd.edu/dc/object/bb94307913
Description
Summary:With the aim of using machine learning as a tool to predict and understand sea-ice motion in the Arctic on one-day timescales, these data include processed satellite and reanalysis measurements of sea-ice velocity, sea-ice concentration, and wind velocity. Also included are outputs from statistical model predictions. Finally, we include all files required to download and process raw data, run statistical models, and plot analyses of outputs. ... : MATLAB R2021b; Python 3.8.5; TensorFlow 2 ...

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