The Science
Why Salient Produces The Most Accurate Forecasts Ever
Our models focus on the ocean and land surface, which control seasonal weather patterns. The oceans drive the global water cycle, and they are rich in data that inform precipitation and temperature conditions over land.
Salient's machine learning platform avoids the bottlenecks of physics-based models, which must solve the chaotic atmosphere.
Drawing insights from historical conditions and future trends, from machine learning and physical models, our models produce the best long-range forecasts available. Our models have been independently validated in the US Bureau of Reclamation's "Subseasonal Forecast Rodeo", winning top prize for the most accurate rainfall forecasts.
Publications
-
North Atlantic salinity as a predictor of Sahel rainfall, Science Advances.
-
Implications of North Atlantic Sea Surface Salinity for Summer Precipitation over the U.S. Midwest: Mechanisms and Predictive Value, Journal of Climate.
-
The role of the subtropical North Atlantic water cycle in recent US extreme precipitation events, Climate Dynamics.
-
Forecast of summer precipitation in the Yangtze River Valley based on South China Sea springtime sea surface salinity, Climate Dynamics.
-
Centennial Changes of the Global Water Cycle in CMIP5 Models, Journal of Climate.