📣 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.

A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems. (2015)

First Author: Hewitt HT

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rsta.2014.0161

PubMed Identifier: 26032316

Publication URI: http://europepmc.org/abstract/MED/26032316

Type: Journal Article/Review

Volume: 373

Parent Publication: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Issue: 2045

ISSN: 1364-503X