Sililo et al. (2026) A Downscaled CMIP6 Dataset of Climate Variables and Solar Power Potential Projections for Zambia under Four SSPs, 2015–2100

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-09-08
• Authors: Sifuniso Sililo, Ackim Zulu
• DOI: 10.17632/c5k3k9rf43.2

Research Groups

• University of Zambia

Short Summary

This paper presents a downscaled CMIP6 dataset of climate variables and solar power potential projections for Zambia under four Shared Socioeconomic Pathways (SSPs) from 2015 to 2100.

Objective

• Investigate the impact of climate change on solar power potential in Zambia using CMIP6 projections.

Study Configuration

• Spatial Scale: National scale, focusing on Zambia.
• Temporal Scale: Long-term projections from 2015 to 2100.

Methodology and Data

• Models used: CMIP6 GCMs (bias-corrected and statistically downscaled).
• Data sources: ERA5 reanalysis data for bias correction.

Main Results

• The study found significant changes in climate variables, including temperature, humidity, radiation, wind speed, and precipitation.
• Solar power potential is projected to increase under SSP1-2.6 but decrease under SSP3-7.0 and SSP5-8.5.
• Inter-model uncertainty summaries indicate high variability among GCMs.

Contributions

• This study provides a downscaled CMIP6 dataset for Zambia, addressing the need for high-resolution climate projections at national scales.
• The results can be used to support climate-impact assessment, renewable-energy planning, and uncertainty analysis in Zambia.

Funding

• No funding information is provided.

Citation

@article{Sililo2026Downscaled,
  author = {Sililo, Sifuniso and Zulu, Ackim},
  title = {A Downscaled CMIP6 Dataset of Climate Variables and Solar Power Potential Projections for Zambia under Four SSPs, 2015–2100},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/c5k3k9rf43.2},
  url = {https://doi.org/10.17632/c5k3k9rf43.2}
}