Salient Predictions 2023-24 Ski-Cast: Head for Higher Elevations
November 28, 2023
Salient combines novel ocean and land-surface data with machine learning and climate expertise to deliver the world’s most accurate subseasonal-to-seasonal weather forecasts 2 to 52 weeks in advance.Request a Demo
2X Accuracy improvement
over competitive forecasts
4 billion Machine learning predictors
5 million API data points generated weekly
Developed by scientists from MIT and Woods Hole Oceanographic Institution, Salient’s forecasts and analytics put superior data and state-of-the-art methodologies to work for you.
Conventional forecasts are based on numerical models of atmospheric conditions. However, due to the chaos of the atmosphere, these models provide little skill for subseasonal-to-seasonal weather predictions. And while some statistical models of ENSO cycles provide modest skill at seasonal timescales, there is much more to the ocean than just ENSO. Our decades of research reveal that ocean and land-surface conditions—two global features with greater inertia and heat capacity—have the largest influence on seasonal weather patterns.
Salient uses deep neural networks to analyze a wide range of climate data. Our models are statistical in nature, so they don’t get bogged down by the details of atmospheric physics—and they have the scale and complexity to find predictability in all aspects of the climate system.Industry Analytics
Our deep learning tools efficiently comb through large datasets and identify complex climate system relationships to provide accurate forecasts that are used in diverse applications across agriculture, energy, finance, supply chain, and beyond.
Billions of weather
and climate predictors
and impact functions
Actionable outputs: Decision tools, map interface & APIs
November 20, 2023
October 10, 2023
National Academies: Advancing Subseasonal to Seasonal Forecasting
Salient Science Advisory Board member Dr. Jason Furtado will speak as a panelist about the emerging role of data-driven methods for S2S forecasting.
Red Sky Summit - Firetech
The Red Sky Summit is the premier gathering of wildfire thought leaders who share a common objective: to develop and scale innovative, technology-based solutions to our wildfire crisis.
American Geophysical Union AGU23
Wide. Open. Science. We are looking forward to sharing and collaborating with some of our favorite climate scientists at AGU23. Reach out to set up a meeting or grab coffee.
US CLIVAR: Climate Variability and Predictability Program
Salient climate scientist Brian Zimmerman will speak about ML/AI applications of S2S Forecasting in industry. The talk is part of CLIVAR's Predictability, Predictions, and Applications Interface webinar series.