The Salient platform provides access to gridded data for all model outputs (and historical data) on a unified grid.

• Global extent
• Salient GemAI generative AI model that produces daily ensemble trajectories
• Salient Blend proprietary ****multi-model blend of our proprietary climatology, AI models with properly calibrated dynamical (GEFS and ECMWF) models
• Consolidated Access to government models (NOAA GEFS + GFS, ECMWF ENS extended range + SEAS5)
• Direct Delivery Short-term Forecasts (GEFS v12 and EC ENS 15 medium range) available for point locations and/or gridded data shortly after they are released publicly and delivered directly to a cloud storage bucket (available for additional license fee).
• Salient’s probabilistic climatological forecasts provide full probabilistic distributions that characterize the uncertainty around the calculated climatological mean

Figure 1: Map of timescales to available models

Salient GemAI

GEM employs a novel hybrid architecture with two main components:

1. The Statistical Generative Model (SGM) generates sample trajectories of key atmospheric state variables, which serve as conditioning for the second component.
2. A Diffusion model (using deep learning) that creates high-resolution trajectories for all output variables, incorporating the SGM output as guidance.

Model Name

API model: gem

Spatial Resolution

The Salient forecast has spatial coverage for North America and provides forecasts for latitude-longitude grid points at 0.25 x 0.25 degrees (25 km) resolution. Spatial debiasing is available to downscale 0.25deg ERA5-style data to a specific location within a grid cell at a granularity of 100m.

Salient GemAI Temporal Resolution and Update Frequency

Salient Blend

The Salient Blend model is a multi-model blend of our proprietary climatology, AI models (natively probabilistic and calibrated by design) with properly calibrated dynamical (GEFS and ECMWF) models.