nerc.ac.uk

Exploiting sub-seasonal forecast predictability in Africa: a key to sustainable development [GCRF African SWIFT white paper policy brief]

Hirons, Linda; Woolnough, Steve; Dione, Cheikh; Thompson, Elisabeth; de Andrade, Felipe; Talib, Joshua ORCID: https://orcid.org/0000-0002-4183-1973; Konte, Oumar; Diedhiou, Tidiane; Quaye, David; Opoku, Nana; Lawal, Kamoru; Olaniyan, Eniola; Nying'uro, Patricia; Kiptum, Chris; Gudoshava, Masilin; Phillips, Lauren; Youds, Lorraine; Parker, Douglas; Blyth, Alan. 2021 Exploiting sub-seasonal forecast predictability in Africa: a key to sustainable development [GCRF African SWIFT white paper policy brief]. Leeds, University of Leeds, 5pp.

Before downloading, please read NORA policies.
[thumbnail of N537379RE.pdf]
Preview
Text
N537379RE.pdf - Published Version

Download (444kB) | Preview

Abstract/Summary

New real-time sub-seasonal forecast information is aiding preparedness and disaster risk reduction decisions in key flood- and drought-vulnerable sectors across Africa and enabling significant progress in sub-Saharan Africa towards the UN Sustainable Development Goals. These services are demonstrating the potential for wider development of sub-seasonal user-focussed services at scale across Africa. We make key recommendations to achieve this vision.

Item Type: Publication - Report (Other)
Digital Object Identifier (DOI): 10.5518/100/72
UKCEH and CEH Sections/Science Areas: Hydro-climate Risks (Science Area 2017-)
Funders/Sponsors: UK Research and Innovation (UKRI)
Additional Information. Not used in RCUK Gateway to Research.: Full text available via Official URL link.
NORA Subject Terms: Meteorology and Climatology
Date made live: 07 May 2024 08:37 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/537379

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...