TOPAZ4-ML Sea Ice Thickness (1992-2022)

Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161

Bibliographic Details
Main Authors: Edel, Léo, Xie, Jiping, Bertino, Laurent
Format: Other/Unknown Material
Language:English
Published: Nansen Environmental and Remote Sensing Center (Leo Edel) 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.11191854
Description
Summary:Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161