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

Figure 1: Map of timescales to available models

Figure 1: Map of timescales to available models

Salient GEM

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.

Salient GEM Temporal Resolution and Update Frequency

Timescale (UI) API timescale Horizon Update Frequency Initialization Time Availability post-initialization
Daily daily Days 1-100 Daily 00z 0800z

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.