Distribution
Wind at 10 metres, Beyla
- Mean
- 1.31 m/s
- Seasonal range
- 0.48 m/s
- Highest
- January (1.46)
- Lowest
- October (0.99)
- Year-to-year variability
- ± 0.047 (3.6 %)
- 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 (1.31 m/s).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 1.46 | 1.46 | 1.47 | 1.41 | 1.19 | 1.15 | 1.51 | 1.53 | 1.21 | 1.12 | 1.10 | 1.24 | 1.32 |
| 2024 | 1.28 | 1.40 | 1.46 | 1.44 | 1.37 | 1.19 | 1.69 | 1.76 | 1.28 | 0.97 | 1.25 | 1.58 | 1.39 |
| 2023 | 1.48 | 1.36 | 1.43 | 1.40 | 1.18 | 1.30 | 1.20 | 1.31 | 1.09 | 0.99 | 1.09 | 1.34 | 1.26 |
| 2022 | 1.53 | 1.51 | 1.29 | 1.40 | 1.26 | 1.21 | 1.29 | 1.45 | 1.19 | 0.97 | 1.15 | 1.30 | 1.30 |
| 2021 | 1.44 | 1.28 | 1.45 | 1.49 | 1.29 | 1.12 | 1.45 | 1.39 | 1.08 | 1.01 | 1.26 | 1.31 | 1.30 |
| Median | 1.46 | 1.40 | 1.45 | 1.41 | 1.26 | 1.19 | 1.45 | 1.45 | 1.19 | 0.99 | 1.15 | 1.31 | |
| P10 | 1.34 | 1.31 | 1.35 | 1.40 | 1.18 | 1.13 | 1.24 | 1.34 | 1.09 | 0.97 | 1.09 | 1.26 | |
| P90 | 1.51 | 1.49 | 1.47 | 1.47 | 1.34 | 1.26 | 1.62 | 1.67 | 1.25 | 1.07 | 1.25 | 1.49 | |
| Min. | 1.28 | 1.28 | 1.29 | 1.40 | 1.18 | 1.12 | 1.20 | 1.31 | 1.08 | 0.97 | 1.09 | 1.24 | |
| Max. | 1.53 | 1.51 | 1.47 | 1.49 | 1.37 | 1.30 | 1.69 | 1.76 | 1.28 | 1.12 | 1.26 | 1.58 |
CSV file
1,826 rows, 53 KB. Columns: period, value, unit, confidence level, status.
date,valeur,unite,niveau_confiance,statut 2021-01-01,0.9835,m/s,B,brut 2021-01-02,1.283,m/s,B,brut 2021-01-03,1.5408,m/s,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_vent_10m_era5_land_2021_2025?format=csv"
Python
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/beyla/vent_10m_ecmwf_era5_land_journalier.csv" df = pd.read_csv(url) df.head()
Same variable, other sources
4 series published for this variable in Beyla. The gap compares period means, which do not always cover the same years.
| Source | Period | Step | Mean (m/s) | Gap | 0.762.55 |
|---|---|---|---|---|---|
| NASA POWER | 1991-2020 | monthly | 2.55 | +94.0 % | |
| ERA5-Land | 2001-2020 | monthly | 0.76 | −42.4 % | |
| ERA5-Land this record | 2021-2025 | daily | 1.31 | reference | |
| NASA POWER | 2021-2025 | daily | 2.40 | +82.7 % |
Notes
- Method
- Satellite model
- Unit
- m/s
- 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
- 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). Wind at 10 metres, Beyla (Guinea), 2021-2025. ERA5-Land series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_beyla_vent_10m_era5_land_2021_2025
@misc{kuma_gin_beyla_vent_10m_era5_land_2021_2025,
author = {{Kuma Science}},
title = {Wind at 10 metres, Beyla (Guinea), 2021-2025},
year = {2026},
howpublished = {ERA5-Land series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_beyla_vent_10m_era5_land_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Wind at 10 metres, Beyla (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_beyla_vent_10m_era5_land_2021_2025 N1 - ERA5-Land 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.