Verify forecast skill beyond vendor claims
A precise three-step method turns your historical actuals into a ranking ready for procurement.
Add your historical actuals
Upload a CSV or connect an API feed of metered or observed values, with the region, variable (temperature, wind speed, irradiance, precipitation), and date range. Climingo fills gaps and normalises units. You keep ownership of your data, which is not used in another benchmark.
- CSV, JSON, or direct API connection accepted
- Temperature, wind speed, solar irradiance, and precipitation
- From one control area to multi-country regional coverage
- From three months to multiple years of dates
Run every provider against your actuals
For the same dates and variables, we retrieve archived forecast files from each provider and calculate skill with standard metrics: RMSE, MAE, and CRPS for probabilistic forecasts. Results are reproducible and exportable.
Provider archives are captured when issued, before observed outcomes are known. This limits post-hoc accuracy inflation and keeps comparisons auditable.
Receive a ranked comparison
Your dashboard ranks provider skill by variable and horizon. Review monthly results, seasonal bias, and tail-event accuracy, then export to PDF or connect with existing reporting workflows.
- Ranked providers with variable and horizon drill-down
- Monthly performance breakdown
- Seasonal bias and tail-event analysis
- PDF export and API delivery
Run your first benchmark
Find the provider that wins on your data.