The Salient platform provides access to gridded data for all model outputs (and historical data) on a unified grid with global extent.
Direct Delivery - Short term models
Figure 1: Map of timescales to available models
| Model | Description |
|---|---|
| Salient GemAI | The Salient GemAI model is a proprietary generative AI model that has well-calibrated and smoothly evolving probabilities. |
| Salient v9 | The Salient Blend model is a multi-model blend of our proprietary AI models (natively probabilistic and calibrated by design) with properly calibrated dynamical (GEFS and ECMWF) models |
| NOAA GEFS v12 | Global Ensemble Forecast System, version 12 |
| ECMWF ENS 15 | European Centre for Medium-Range Weather Forecasts, Ensemble forecast out to 15 days ahead |
| ECMWF ENS 46 | European Centre for Medium-Range Weather Forecasts, Ensemble Extended range |
| ECMWF SEAS5 | European Centre for Medium-Range Weather Forecasts, fifth generation seasonal forecast system |
| 30 year Climatology | 30-year stationary baseline with smoothing and no trend. It is probabilistic and properly cross-validated. This is equivalent to NOAA’s normals, e.g. 1991-2020, 1981-2010, 1971-2000. |
| Salient Climatology | Salient’s proprietary 40-year trailing average based on the global ERA5 dataset. It includes a linear estimate of trend and is smoothed/tuned for optimal performance. We apply a series of low-pass filtering operations to remove day to day noise, but maintain the sharpness of seasonal transitions to improve the usability and accuracy of our proprietary climatology. It is probabilistic and properly cross-validated. Reliability diagrams and the tercile (above-below-near normal) view are based on the Salient climatology. |
| 10 year Normal | Simple 10 year trailing average |
| 5 year Normal | Simple 5 year trailing average |