Data and API

Calibrated solar resource of the 340 sub-prefectures (GHI, DNI, P50, P90)

Kuma ScienceAnnual340 sub-prefecturesSatellite calibrated on ground dataCC BY 4.0

For each sub-prefecture: annual and monthly GHI and DNI calibrated on ground measurements from reference stations, raw satellite GHI, inter-annual P50 and P90, calibration residuals and confidence level, diffuse fraction, humidex and daily variability.

P50 and P90 are inter-annual: they do not propagate model uncertainty and are not a bankable P90. The calibration (calage-guinee-v3) is documented in the repository doctrine.

Content

Time step
Annual
Coverage
340 sub-prefectures
Size
340 rows, 62 columns
Kind of values
Satellite calibrated on ground data
Themes
Solar radiation, Satellite-to-ground calibration

Provenance and licence

Source
Kuma Science
Publisher
Kuma Science
License
CC BY 4.0
Distribution
Atlas OGC service
Last updated
September 12, 2026

Required attribution. Atlas solaire de la Guinée, opéré par Kuma Science, CC BY 4.0.

Column dictionary

Profile computed over the 340 rows of the published file.

ColumnUnitFilledValuesDistribution
COD-AB codepcodetext100%340 distinct valuesGN00100101, GN00100102, GN00100103…
Namenomtext100%334 distinct valuesBeindou, Gongoret, Koba…
Prefectureprefecturetext100%34 distinct valuesMacenta, Beyla, Mamou…
Regionregiontext100%8 distinct valuesNzérékoré, Kankan, Labé…
Pixel (lat;lon)pixeltext100%30 distinct values11;-13, 10;-13, 9;-14…
GHI donor stationsdonneurs_ghitext100%70 distinct valuesmali-sikasso|guinea-tarambaly|mali-bougouni|togo-dapaong|ghana-navrongo, ghana-navrongo|togo-dapaong|guinea-kankan|nigeria-bauchi|mali-sikasso, togo-dapaong|ghana-navrongo|mali-sikasso|guinea-tarambaly|mali-bougouni…
DNI donor stationsdonneurs_dnitext100%57 distinct valuesmali-sikasso|guinea-tarambaly|ghana-navrongo|benin-malanville|nigeria-kano, ghana-navrongo|guinea-kankan|nigeria-bauchi|mali-sikasso|guinea-tarambaly, ghana-navrongo|mali-sikasso|guinea-tarambaly|guinea-kankan|nigeria-bauchi…
Calibrated GHI, annualghi_cale_ankWh/m²/day100%4.7128 to 5.8618, mean 5.3864
Calibrated DNI, annualdni_cale_ankWh/m²/day100%2.3145 to 4.4298, mean 3.5808
GHI p80 residualresidu_ghi_p80_pct%100%2.41 to 5.80, mean 3.64
DNI p80 residualresidu_dni_p80_pct%100%6.02 to 16.18, mean 8.81
GHI confidenceconfiance_ghitext100%2 distinct valuesHigh confidence, High uncertainty
DNI confidenceconfiance_dnitext100%2 distinct valuesHigh confidence, High uncertainty
Sub-prefectures in pixeldegenerescence_pixelinteger100%1 to 46, mean 18
Calibration versionversion_calagetext100%1 distinct value
Daily variabilityvariabilite_journalieredecimal100%0.159 to 0.224, mean 0.182
Annual diffuse fractionfraction_diffuse_andecimal100%0.4625 to 0.6252, mean 0.5155
Annual humidexhumidex_andecimal100%28.6 to 36.9, mean 31.8
Updateddate_majtext100%1 distinct value
GHI calibrated, by monthghi_cale_m01 … _m12kWh/m²/day100%3.9167 to 6.9190, 12 columns
Raw GHI, annualghi_brut_ankWh/m²/day100%4.7600 to 5.8428, mean 5.4142
GHI raw, by monthghi_brut_m01 … _m12kWh/m²/day100%4.0591 to 6.8127, 12 columns
GHI P50, annualghi_p50_ankWh/m²/day100%4.7127 to 5.8759, mean 5.3955
GHI P90, annualghi_p90_ankWh/m²/day100%4.6242 to 5.7607, mean 5.2887
GHI min, annualghi_min_ankWh/m²/day100%4.5280 to 5.6538, mean 5.2129
GHI max, annualghi_max_ankWh/m²/day100%4.8793 to 6.0524, mean 5.5286
Point latitudelat_point°100%7.3452 to 12.5546, mean 10.2668
Point longitudelon_point°100%-14.7199 to -7.9752, mean -11.2284
DNI calibrated, by monthdni_cale_m01 … _m12kWh/m²/day100%1.2212 to 5.9863, 12 columns