Distribution
Surface albedo, Beyla
- Mean
- 0.130 dimensionless
- Seasonal range
- 0.038 dimensionless
- Highest
- July (0.147)
- Lowest
- January (0.110)
- Year-to-year variability
- ± 0.004 (2.7 %)
- Values
- 1,826 days
Monthly means of the daily values.
- 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 5 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 (0.130 dimensionless).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 0.112 | 0.113 | 0.127 | 0.134 | 0.138 | 0.133 | 0.151 | 0.136 | 0.138 | 0.151 | 0.129 | 0.116 | 0.132 |
| 2024 | 0.110 | 0.103 | 0.135 | 0.141 | 0.123 | 0.105 | 0.131 | 0.148 | 0.134 | 0.138 | 0.133 | 0.117 | 0.127 |
| 2023 | 0.109 | 0.113 | 0.123 | 0.126 | 0.130 | 0.139 | 0.140 | 0.139 | 0.146 | 0.113 | 0.134 | 0.119 | 0.128 |
| 2022 | 0.110 | 0.103 | 0.112 | 0.133 | 0.144 | 0.139 | 0.150 | 0.134 | 0.130 | 0.124 | 0.135 | 0.114 | 0.127 |
| 2021 | 0.105 | 0.113 | 0.125 | 0.124 | 0.142 | 0.181 | 0.147 | 0.169 | 0.139 | 0.131 | 0.131 | 0.111 | 0.135 |
| Median | 0.110 | 0.113 | 0.125 | 0.133 | 0.138 | 0.139 | 0.147 | 0.139 | 0.138 | 0.131 | 0.133 | 0.116 | |
| P10 | 0.106 | 0.103 | 0.117 | 0.125 | 0.126 | 0.117 | 0.135 | 0.135 | 0.131 | 0.117 | 0.130 | 0.112 | |
| P90 | 0.111 | 0.113 | 0.132 | 0.138 | 0.143 | 0.165 | 0.151 | 0.161 | 0.143 | 0.146 | 0.135 | 0.118 | |
| Min. | 0.105 | 0.103 | 0.112 | 0.124 | 0.123 | 0.105 | 0.131 | 0.134 | 0.130 | 0.113 | 0.129 | 0.111 | |
| Max. | 0.112 | 0.113 | 0.135 | 0.141 | 0.144 | 0.181 | 0.151 | 0.169 | 0.146 | 0.151 | 0.135 | 0.119 |
CSV file
1,826 rows, 46 KB. Columns: period, value, unit, confidence level, status.
date,valeur,unite,niveau_confiance,statut 2021-01-01,0.12,1,B,brut 2021-01-02,0.11,1,B,brut 2021-01-03,0.1,1,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_beyla_albedo_surface_nasa_power_2021_2025?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/beyla/albedo_surface_nasa_power_journalier_2414.csv" df = pd.read_csv(url) df.head()
Same variable, other sources
2 series published for this variable in Beyla. The gap compares period means, which do not always cover the same years.
| Source | Period | Step | Mean (dimensionless) | Gap | 0.1280.130 |
|---|---|---|---|---|---|
| NASA POWER | 2001-2020 | monthly | 0.128 | −1.6 % | |
| NASA POWER this record | 2021-2025 | daily | 0.130 | reference |
Notes
- Method
- Satellite model
- Unit
- dimensionless
- Time step
- Daily, charts and table as monthly means
- Period
- 2021-01-01 - 2025-12-31
- Kuma qualification
- Acceptable qualification, cross-check series
- Source licence
- NASA Open Data Policy, domaine public, citation recommandée
- Kuma licence
- CC-BY 4.0, DOI 10.5281/zenodo.21051755
Cite this series
Kuma Science (2026). Surface albedo, Beyla (Guinea), 2021-2025. NASA POWER series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_beyla_albedo_surface_nasa_power_2021_2025
@misc{kuma_gin_beyla_albedo_surface_nasa_power_2021_2025,
author = {{Kuma Science}},
title = {Surface albedo, Beyla (Guinea), 2021-2025},
year = {2026},
howpublished = {NASA POWER series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_beyla_albedo_surface_nasa_power_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Surface albedo, Beyla (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_beyla_albedo_surface_nasa_power_2021_2025 N1 - NASA POWER ER -
Also cite the primary source, whose licence applies to the published values.
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