Reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER, 1991–2025

This study presents a reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER daily meteorological data from 1991 to 2025. It includes annual and monthly climate summaries, trend estimates, extreme-event indicators, figures, provenance information and reproducible Python analysis code.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23011618
Primary Topic
Climate variability and models
Type
preprint
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preprint

Reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER, 1991–2025

Rashida Mohammed
Zenodo (CERN European Organization for Nuclear Research)
Climate variability and models
preprint

Reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER, 1991–2025

Rashida Mohammed
preprint en

Abstract

This study presents a reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER daily meteorological data from 1991 to 2025. It includes annual and monthly climate summaries, trend estimates, extreme-event indicators, figures, provenance information and reproducible Python analysis code.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Climate variability and models
DOIOpen Access PDFOpenAlex
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Reproducible analysis of temperature, rainfall and percentile-based extremes in Accra, Ghana using NASA POWER, 1991–2025 — Rashida Mohammed · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS