Daily radiation, temperature and wind, 2021-2025 (ERA5-Land)
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62,084 rows selected
Full dataset
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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()library(arrow)
df <- read_parquet("https://kumascience.com/data/jeux/era5-land-journalier.parquet")
head(df)INSTALL httpfs; LOAD httpfs;
SELECT *
FROM read_parquet('https://kumascience.com/data/jeux/era5-land-journalier.parquet')
LIMIT 10;Original files
The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.
| journalier_2021_2025.csv | 2.7 MB | e223f2f2134091d5f0b07e9c99618bf870a57f09d214fc26f06393a936846b49 |
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