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

• Global extent
• Salient 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)
• Low Latency Short-term Forecasts (GEFS v12 and EC ENS 15 medium range) available shortly after they are released publicly
• Salient’s probabilistic climatological forecasts provide full probabilistic distributions that characterize the uncertainty around the calculated climatological mean
• Hindcasts: Past forecasts are available for all models (except ENS 15)

Figure 1: Map of timescales to available models

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.

Our blending algorithm objectively assesses which models are most skillful for particular variables, regions, seasons, and lead times. The blending model also dynamically weights the input models based on current climate conditions, which allows the blend forecast to capture signals from each input.

Then it uses that information to appropriately apply grid-point-by-grid-point model weights to combine the AI and NWP models resulting in a 'Salient Blend' forecast that is superior to the individual model forecasts by accounting for each model's varying spatial and temporal strengths.

Model Name

API model: blend, ai (internal model that is included in the blend model)

Spatial Resolution

The Salient forecast has a global extent and provides forecasts for latitude-longitude grid points at 0.25 x 0.25 degrees (25 km) resolution.

Salient Blend Temporal Resolution and Update Frequency

The following table provides an overview of the Salient model update frequency and initialization times for each timescale in UTC time. For example, let’s say the Initialization Date -Time is November 1st 00 UTC. A forecast with an Init Date of November 1st will be available on November 2 at 8:00 UTC.

<aside> 💡 Note: The forecast availability is dependent on the availability of 3rd party data at initialization time. If the initialization data is not available, Salient automatically retries downloading the data on a pre-determined schedule, which may cause a delay in forecast availability.

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