COMMERCIAL PRODUCT
SOLAR ENERGY / DECISION WORKSPACE
Four diagnostic tools for solar operators, air quality teams and environmental analysts — grounded in satellite observations, GFS fields and honest data limits.
FROM ORBIT TO OPERATIONS
Start with the diagnostic your team needs. Each module explains the question it answers, the inputs it requires and what still needs local validation — so solar operators and analysts know what to do next.
Attribute forecast errors to atmosphere
→Monitor dust and cloud in real time
→Flag low-confidence air quality cells
→Track land-cover and dust-source change
THE SOLAR TOOLKIT
Open a module for its workflow, example scenarios, required inputs, API request and capability boundaries.
01 / SOLAR PRODUCTCompare observed versus forecast generation for each hour. Isolate the contribution of cloud cover, aerosol optical depth, dust risk and panel temperature to the error. Improve future forecasts with transparent, machine-readable attribution.
Hourly forecast (kWh/kWp) · Hourly observed (kWh/kWp) · Cloud cover (%)
02 / SOLAR PRODUCTA maintained regional feed of cloud cover, aerosol optical depth, shortwave radiation and estimated PV generation potential. Gives solar operators a consistent satellite-derived input feed to cross-check internal forecasts and diagnose persistent biases.
Latitude / Longitude · hours_back (1–72)
03 / SOLAR PRODUCTA grid of observation age, satellite coverage fraction, nearby ground-station count and uncertainty flags for each map cell. Helps air quality teams distinguish well-supported estimates from sparse-observation zones before publishing public air quality maps.
resolution_km (10–100) · lat_min, lat_max · lon_min, lon_max
04 / SOLAR PRODUCTTimestamped imagery pairs, spectral change scores, cover-class transitions and review status for UAE cells. Supports solar-site monitoring, dust source tracking and urban-growth analysis without manufacturing conclusions from uncertain signals.
change_class · confidence_min (0–1) · limit (1–100)
CLEAR ABOUT THE DATA
Satellite and forecast products describe atmospheric conditions at their own resolution and update cadence. They can help operators spot patterns, correlate errors and schedule maintenance.
Panel soiling, tracker faults, inverter curtailment, and ground irradiance calibration are not inferred when they are missing. Review each module's data gaps before using a result operationally.
Read the API documentation ↗