Zeus AI's Low-latency Environmental Prediction from Neural Systems (LENS) provides real-time weather and forecasts using AI-driven data assimilation and modeling. Powered by geostationary satellite observations, LENS-Cast produces forecasts in a fraction of the time of leading global and regional models. The approach enables continuous-time modeling to resolve rapidly changing weather conditions.

Continuous time, 2 kilometer, satellite-informed forecasts

2 meter air temperature (Kelvin)
Surface wind gust speed (m/s)
Surface pressure (Pa)
:white_check_mark: 10 meter wind speed and direction
:white_check_mark: 80 meter wind speed and direction
:white_check_mark: Surface wind gust speed
:white_check_mark: Surface temperature
:white_check_mark: 2 meter relative humidity
:white_check_mark: 2 meter air temperature
:white_check_mark: Surface pressure
Data features

Zeus AI models fuse weather model and satellite data to generate real-time weather and forecasts in under 5 minutes, a fraction of the runtime of numerical weather models like High-Resolution Rapid Refresh (HRRR) and Global Forecast System (GFS)

Update frequency
Zeus AI models can be refreshed up to every 10 minutes, corresponding to the collection of new geostationary satellite scans

Temporal resolution
Continuous-time modeling of the Earth system forecasts weather at infinitesimal timesteps

Horizontal resolution
2 km weather data provides localized insights at specific locations
Spatial coverage
Zeus AI data expands on the high-resolution coverage of regional weather models for maritime and land areas alike

Get instant access to customizable datasets
  • Specify locations of interest or request maps for visual assessment with our easy-to-use API
  • Select weather parameters including near surface temperature and humidity, and multi-level wind speed and direction
  • Real time, forecasts, and historical data up to 5 years in the past
  • Request a demo
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