ePrints

Harnessing subseasonal-to-seasonal predictability for wind-power generation in Kenya

Lookup NU author(s): Dr Hannah BloomfieldORCiD

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Masukwedza GIT, Hirons LC, Woolnough SJ, Ang'u C, Bloomfield HC, Wainwright CM, Brayshaw DJ, de Vincelles E, Gitau W, Mutemi J, Ochieng WO, Olago D, Oludhe C

Publication type: Article

Publication status: Published

Journal: Meteorological Applications

Year: 2026

Volume: 33

Issue: 4

Online publication date: 26/08/2026

Acceptance date: 07/07/2026

Date deposited: 28/08/2026

ISSN (print): 1350-4827

ISSN (electronic): 1469-8080

Publisher: John Wiley & Sons Ltd.

URL: https://doi.org/10.1002/met.70221

DOI: 10.1002/met.70221

Data Access Statement: ERA5 reanalysis fields were obtained from the Copernicus Climate Data Store and are distributed under the Copernicus Climate Change Service licence. Wind and generation records from the Lake Turkana and Ngong Hills wind farms were supplied by the site operators under data-sharing agreements and cannot be released publicly for confidentiality reasons. See paper for more info

Altmetrics

Funding

Share