📣 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 closer look at mineral aerosol emissions from the Makgadikgadi Pans, Botswana, using automated SEM-EDS (QEMSCAN®) (2020)

First Author: Vickery K

Attributed to: DO4models- Dust Observations for models: Linking a new dust source-area data set to improved physically-based dust emission schemes in climate models funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/03736245.2020.1824805

Publication URI: http://dx.doi.org/10.1080/03736245.2020.1824805

Type: Journal Article/Review

Parent Publication: South African Geographical Journal

Issue: 1

ISSN: 21512418 03736245