📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020 (2023)

First Author: Cheng S

Attributed to: NCEO Data Assimilation Theory and Applications funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.5194/tc-17-1735-2023

Publication URI: http://dx.doi.org/10.5194/tc-17-1735-2023

Type: Journal Article/Review

Parent Publication: The Cryosphere

Issue: 4