Kaloum | 2021-2025

Clearness index

Clearness index measurements at Kaloum, 2021-2025, through satellite model (NASA POWER | Prediction Of Worldwide Energy Resources). The series note below sums up the window, the method and the confidence grade.

← Back to catalog

Metadata

The series' technical identity

Location
GIN | Kaloum
Variable
Clearness index (dimensionless)
Upstream source
NASA POWER | Prediction Of Worldwide Energy Resources : Solar and Meteorological Data Archive
Period
2021-01-01 - 2025-12-31
Kuma layer
Layer BSubstrate | Cross-check
Confidence grade
Conf. B | B | acceptable qualification

Series note

Clearness index at Kaloum (Guinea), over the period 2021-2025. Obtained through satellite model, source NASA POWER | Prediction Of Worldwide Energy Resources. Dimensionless quantity | Kuma confidence grade B (acceptable qualification).

Climatology

Change over time

Data

Time series and climatology

Daily time series 2021-2025 · annual mean 0.54dimensionless
0.00.20.40.60.8Clearness index (dimensionless) ↑20212022202320242025
Source: NASA POWER | Prediction Of Worldwide Energy Resources : Solar and Meteorological Data Archive. Period 2021-2025.

Seasonality

Annual profiles 2021–2025

Daily seasonal profiles · 2021 to 2025
0.00.40.8JAJO2021
0.00.40.8JAJO2022
0.00.40.8JAJO2023
0.00.40.8JAJO2024
0.00.40.8JAJO2025
Each panel shows the daily values for one year (dimensionless). Light sand band = dry season / Harmattan (December-March). Green band = monsoon (June-September). The side-by-side layout reveals the stability of the seasonal cycle and year-to-year anomalies.

Distribution

Seasonal and monthly variability

Distribution

Monthly distribution (Tukey boxplot)

Distribution of values, month by month
00.210.430.640.85Clearness index (dimensionless) ↑JFMAMJJASONDMonths →
Each box shows the spread for one month: the thick bar is the median value, the box covers the central half of the values. Highest typical value in January ( 0.66dimensionless), lowest in July (0.38dimensionless). Source: NASA POWER · Prediction Of Worldwide Energy Resources : Solar and Meteorological Data Archive.

Bivariate relations

Correlations between variables

Relation

KT vs GHI

KT vs GHI · R² = 0.924 (very strong correlation)
0.00.10.20.30.40.50.60.7KT (dimensionless) ↑1234567GHI (kWh/m²/day) →
N = 1826 daily pairs aligned by date . Least-squares linear regression: y = 0.102 · x + -0.002 (GHI in kWh/m²/jour, KT in sans unité). Source: NASA POWER.

Relation

KT vs DNI

KT vs DNI · R² = 0.834 (strong correlation)
0.00.10.20.30.40.50.60.7KT (dimensionless) ↑012345678DNI (kWh/m²/day) →
N = 1826 daily pairs aligned by date . Least-squares linear regression: y = 0.059 · x + 0.333 (DNI in kWh/m²/jour, KT in sans unité). Source: NASA POWER.

How to cite

Suggested citation
Kuma Science (2026). Series catalog, gin_conakry_kt_nasa_power_2021_2025. Primary source : NASA POWER | Prediction Of Worldwide Energy Resources : Solar and Meteorological Data Archive (https://power.larc.nasa.gov/). Kuma confidence grade : B. Layer : B ( Cross-check). Accessed on 2026-07-20.

Select the block to copy.

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).

Upstream source

Data origin and license

This series is derived from NASA POWER | Prediction Of Worldwide Energy Resources : Solar and Meteorological Data Archive . License : NASA Open Data Policy · domaine public, citation recommandée.

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.

Découvrir nos services →