Synthetic radar and winds during Hurricane Idalia with mesoscale geostationary satellite imagery
Radar is not available in most ocean regions which can make monitoring hurricane intensity challenging prior to landfall. LENS solves that problem using mesoscale satellite data to synthesize radar to enhance spatial and temporal coverage of tropical storms at crucial times.
Mesoscale imagery from geostationary satellites, such as GOES-16/18, a...
Tracking weather patterns with Zeus AI's data assimilation system
Scattered showers pass over the Northeast on Sunday August 13, 2023. The progression of cloud cover, synthetic radar reflectivity, and surface solar irradiance were captured in near-real time by LENS-Analysis.
This summer’s severe precipitation events, wildfires, and persistent heatwaves have elevated weather to a new level of attention. Zeu...
Zeus AI releases LENS-Cast, a satellite based real-time weather forecast
See our near real-time LENS-Analysis Demo covering the Caribbean region. We show wind speed, temperature, relative humidity, radar reflectively composite, and cloud cover percentage updated every 15-minutes. The visualization is shown at a reduced spatial resolution for performance purposes.
Zeus AI is pleased to announce the release of LEN...
Data assimilation challenges in the age of big Earth data
Sequences of GOES-16 tropospheric water vapor are used to calculate NOAA’s derived motion winds (b; in black). Atmospheric winds help to reduce initial condition uncertainty when assimilated into weather models. Dense feature tracking using deep optical flow provides more complete information about the atmospheric wind speed and direction (c), b...
The power of geostationary satellite data for weather forecasting
Geostationary (GEO) satellites orbit the Earth at the same rate that the Earth rotates, which allows them to remain over the same spot on the planet at all times. This makes them ideal for monitoring weather patterns and tracking the movement of storms. Space agencies around the world fly GEO satellites carrying visible/thermal imagers, infrared...
Zeus AI awarded NASA SBIR Phase II
Zeus AI was selected for a phase II award through NASA’s Small Business Innovation Research (SBIR) program. The phase II award of $850k will enable Zeus AI to continue development and commercialize our 3D atmospheric analysis product for applications to numerical weather prediction and energy forecasting. Leveraging advances I geostationary sate...
Zeus AI awarded NASA SBIR Phase I
Zeus AI has been selected for funding through NASA’s Small Business Innovation Research (SBIR) program. In the Phase I project, titled “Predicting 3D atmospheric structure from geostationary satellites”, Zeus will address current observing system gaps by developing artificial intelligence models to predict dense and accurate atmospheric winds. T...