📣 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 machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME (2023)

First Author: Fillola E

Attributed to: OpenGHG: A community platform for greenhouse gas data science funded by UKRI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.5194/gmd-16-1997-2023

Publication URI: http://dx.doi.org/10.5194/gmd-16-1997-2023

Type: Journal Article/Review

Volume: 16

Parent Publication: Geoscientific Model Development

Issue: 7

ISSN: 19919603 1991959X