Distribution
Seasonal and monthly variability
Monthly distribution (Tukey boxplot)
Bivariate relations
Monthly means of the daily values.
Drag across the chart to zoom, double-click to reset.
For each month, over 5 years: median, low and high years (P10 to P90) and extreme values.
Mean of each complete year, as a gap to the period mean (0.537 dimensionless).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 0.602 | 0.612 | 0.636 | 0.606 | 0.495 | 0.503 | 0.356 | 0.363 | 0.417 | 0.570 | 0.572 | 0.598 | 0.527 |
| 2024 | 0.626 | 0.632 | 0.619 | 0.632 | 0.517 | 0.466 | 0.321 | 0.335 | 0.398 | 0.527 | 0.649 | 0.642 | 0.530 |
| 2023 | 0.663 | 0.606 | 0.640 | 0.611 | 0.496 | 0.447 | 0.445 | 0.416 | 0.470 | 0.514 | 0.571 | 0.645 | 0.544 |
| 2022 | 0.630 | 0.635 | 0.612 | 0.628 | 0.533 | 0.492 | 0.379 | 0.349 | 0.439 | 0.546 | 0.601 | 0.599 | 0.537 |
| 2021 | 0.634 | 0.601 | 0.605 | 0.596 | 0.541 | 0.489 | 0.410 | 0.412 | 0.517 | 0.548 | 0.612 | 0.591 | 0.546 |
| Median | 0.630 | 0.612 | 0.619 | 0.611 | 0.517 | 0.489 | 0.379 | 0.363 | 0.439 | 0.546 | 0.601 | 0.599 | |
| P10 | 0.611 | 0.603 | 0.608 | 0.600 | 0.496 | 0.455 | 0.335 | 0.341 | 0.406 | 0.519 | 0.571 | 0.594 | |
| P90 | 0.651 | 0.634 | 0.639 | 0.630 | 0.538 | 0.499 | 0.431 | 0.415 | 0.499 | 0.561 | 0.634 | 0.643 | |
| Min. | 0.602 | 0.601 | 0.605 | 0.596 | 0.495 | 0.447 | 0.321 | 0.335 | 0.398 | 0.514 | 0.571 | 0.591 | |
| Max. | 0.663 | 0.635 | 0.640 | 0.632 | 0.541 | 0.503 | 0.445 | 0.416 | 0.517 | 0.570 | 0.649 | 0.645 |
1,826 rows, 46 KB. Columns: period, value, unit, confidence level, status.
date,valeur,unite,niveau_confiance,statut 2021-01-01,0.66,1,B,brut 2021-01-02,0.69,1,B,brut 2021-01-03,0.62,1,B,brutDownload the CSV
The same series, versioned, with a free key.
curl -H "Authorization: Bearer kuma_votre_cle" \ "https://api.kumascience.com/v1/series/gin_conakry_kt_nasa_power_2021_2025?format=csv"
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/conakry_kaloum/kt_nasa_power_journalier.csv" df = pd.read_csv(url) df.head()
2 series published for this variable in Kaloum. The gap compares period means, which do not always cover the same years.
| Source | Period | Step | Mean (dimensionless) | Gap | 0.5350.537 |
|---|---|---|---|---|---|
| NASA POWER | 2001-2020 | monthly | 0.535 | −0.5 % | |
| NASA POWER this record | 2021-2025 | daily | 0.537 | reference |
Distribution
Bivariate relations
Kuma Science (2026). Clearness index, Kaloum (Guinea), 2021-2025. NASA POWER series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_conakry_kt_nasa_power_2021_2025
@misc{kuma_gin_conakry_kt_nasa_power_2021_2025,
author = {{Kuma Science}},
title = {Clearness index, Kaloum (Guinea), 2021-2025},
year = {2026},
howpublished = {NASA POWER series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_conakry_kt_nasa_power_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Clearness index, Kaloum (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_conakry_kt_nasa_power_2021_2025 N1 - NASA POWER ER -
Also cite the primary source, whose licence applies to the published values.
Astuce pratique · Pour citer cette fiche dans un rapport BE ou un livrable client, sélectionnez le bloc ci-dessus puis copiez-collez. Le slug de la série (le code présent dans l'URL) garantit la reproductibilité : la même URL pointera vers la même série, même après mises à jour des données amont (l'historique versionné côté Data Core est préservé).
Besoin d'aller plus loin sur cette série ? Le cabinet Kuma accompagne bureaux d'études, bailleurs et porteurs de projet sur l'ingénierie énergétique appliquée · audit, dimensionnement PV, conseil stratégique.