📣 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.

High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy Research (2023)

First Author: Mukkavilli SK

Attributed to: Discovering rare, extreme behaviour in large-scale computational models funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1439023

Type: Conference/Paper/Proceeding/Abstract