Kuma applied variables
Relative DNI gap, CAMS vs NASA POWER, Kaloum
- Mean
- -8.24 %
- Seasonal range
- 43.63 %
- Highest
- April (12.27)
- Lowest
- August (-31.36)
- Year-to-year variability
- ± 1.54
- Values
- 36 months
- Period mean
- Month above its normal
- Month below
- 12-month moving average
Drag across the chart to zoom, double-click to reset.
For each month, over 3 years: median, low and high years (P10 to P90) and extreme values.
- Median
- Low and high years (P10 to P90)
- Extreme values (min. to max.)
Mean of each complete year, as a gap to the period mean (-8.24 %).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | 6.48 | -5.82 | 2.28 | 14.28 | -2.67 | -25.59 | -19.84 | -22.56 | -21.87 | -21.47 | -4.57 | 18.52 | -6.90 |
| 2022 | 3.79 | -3.32 | -9.10 | 12.27 | 7.63 | -20.12 | -27.52 | -31.36 | -26.54 | -14.73 | 6.58 | 7.81 | -7.88 |
| 2021 | 10.06 | 0.61 | 3.28 | 8.05 | -2.87 | -22.53 | -34.73 | -31.98 | -26.73 | -21.11 | -3.48 | 2.39 | -9.92 |
| Median | 6.48 | -3.32 | 2.28 | 12.27 | -2.67 | -22.53 | -27.52 | -31.36 | -26.54 | -21.11 | -3.48 | 7.81 | |
| P10 | 4.33 | -5.32 | -6.82 | 8.89 | -2.83 | -24.98 | -33.29 | -31.85 | -26.69 | -21.40 | -4.36 | 3.47 | |
| P90 | 9.34 | -0.18 | 3.08 | 13.87 | 5.57 | -20.60 | -21.37 | -24.32 | -22.81 | -16.01 | 4.57 | 16.38 | |
| Min. | 3.79 | -5.82 | -9.10 | 8.05 | -2.87 | -25.59 | -34.73 | -31.98 | -26.73 | -21.47 | -4.57 | 2.39 | |
| Max. | 10.06 | 0.61 | 3.28 | 14.28 | 7.63 | -20.12 | -19.84 | -22.56 | -21.87 | -14.73 | 6.58 | 18.52 |
CSV file
36 rows, 2 KB. Columns: period, value, unit, confidence level, status.
periode_type,annee_debut,annee_fin,mois,version_formule,valeur,unite,niveau_confiance,statut mensuel,2021,2021,1,1,10.0575,%,B,brut mensuel,2021,2021,2,1,0.610399,%,B,brut mensuel,2021,2021,3,1,3.28493,%,B,brutDownload the CSV
API
The same series, versioned, with a free key.
curl -H "Authorization: Bearer kuma_votre_cle" \ "https://api.kumascience.com/v1/series/gin_conakry_ecart_relatif_dni_cams_kuma_calculs_2021_2023?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/conakry_kaloum/ecart_relatif_dni_cams_kuma_calculs_mensuel.csv" df = pd.read_csv(url) df.head()
Same variable, other sources
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 (%) | Gap | -14.84-8.24 |
|---|---|---|---|---|---|
| Kuma computation | 2004-2020 | monthly | -14.84 | −80.2 % | |
| Kuma computation this record | 2021-2023 | monthly | -8.24 | reference |
Notes
- Source
- Kuma Science, Internal calculations layer
- Method
- Kuma-derived computation
- Unit
- %
- Time step
- Monthly
- Period
- 2021-01-01 - 2023-12-31
- Kuma qualification
- Acceptable qualification, series derived by computation
- Source licence
- Licence à vérifier auprès de la source amont avant réutilisation.
- Kuma licence
- CC-BY 4.0, DOI 10.5281/zenodo.21051755
Cite this series
Kuma Science (2026). Relative DNI gap, CAMS vs NASA POWER, Kaloum (Guinea), 2021-2023. Kuma computation series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_conakry_ecart_relatif_dni_cams_kuma_calculs_2021_2023
@misc{kuma_gin_conakry_ecart_relatif_dni_cams_kuma_calculs_2021_2023,
author = {{Kuma Science}},
title = {Relative DNI gap, CAMS vs NASA POWER, Kaloum (Guinea), 2021-2023},
year = {2026},
howpublished = {Kuma computation series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_conakry_ecart_relatif_dni_cams_kuma_calculs_2021_2023},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Relative DNI gap, CAMS vs NASA POWER, Kaloum (Guinea), 2021-2023 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_conakry_ecart_relatif_dni_cams_kuma_calculs_2021_2023 N1 - Kuma computation ER -
Also cite the primary source, whose licence applies to the published values.
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