Data and API

Daily radiation, temperature and wind, 2021-2025 (ERA5-Land)

ERA5-LandDaily2021 – 202534 locationsSatellite or reanalysisCC BY 4.0

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62,084 rows selected

Full dataset

This is the Parquet file the table reads. It opens in pandas, R, DuckDB or QGIS.

Parquet (1.3 MB) SHA-256 225647f90b398bd554b5808ffece755bec51ff4c5219f993a5841d376692e4a8

Read the file

The Parquet file can be read straight from its URL, without downloading it first.

import pandas as pd

df = pd.read_parquet("https://kumascience.com/data/jeux/era5-land-journalier.parquet")
df.groupby("localite_nom")["ghi"].mean().sort_values()

Original files

The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.

journalier_2021_2025.csv2.7 MBe223f2f2134091d5f0b07e9c99618bf870a57f09d214fc26f06393a936846b49

DOI 10.5281/zenodo.21051754

Cite this dataset

CC BY 4.0. Generated using Copernicus Climate Change Service information 2025.

Kalivogui, S. (2026). Référentiel de Données Solaires de la Guinée (RDS Guinée). Kuma Science. https://doi.org/10.5281/zenodo.21051754