Real-time weather data sourcing
Atmo ingests weather measurement data in real time from satellites, ground stations, radars, and ocean buoys, then uses that data to refine its forecasts.
Atmo desenvolve sistemas de previsão meteorológica com IA para governos, forças armadas e empresas, combinando dados em tempo real com modelos de IA para previsões mais rápidas e de alta resolução.
Atmo is an AI weather forecasting company that says it builds meteorology systems for countries, militaries, and enterprises. Its homepage positions the product around ultra-precise forecasting and weather modification powered by deep learning.
The product’s core workflow appears to combine real-time weather data collection with AI models that continuously refine forecasts. Atmo says this supports faster forecasts, higher accuracy, and very high spatial resolution, with coverage from nowcasting through medium-range forecasting.
Atmo ingests weather measurement data in real time from satellites, ground stations, radars, and ocean buoys, then uses that data to refine its forecasts.
The company says its AI weather models deliver forecasts up to 40,000 times faster than traditional models, which supports rapid operational use.
Atmo says it is up to 50% more accurate than today’s most advanced forecasts across major prognostic and diagnostic variables.
The homepage describes forecasting resolution as up to 1 km by 1 km, which it positions as a way to reveal microclimates within larger climate regions.
Atmo presents live production use and tailoring for challenging environments, with customers spanning governments, militaries, and industries.
Weather-sensitive public agencies can use Atmo’s forecasts to support planning and risk awareness for large-scale operations and infrastructure decisions.
Defense organizations can use the system for operational weather intelligence in challenging environments where forecast speed and detail matter.
Enterprises with weather exposure can use the forecasts to anticipate conditions that affect assets, logistics, or field operations.
Teams working in localized environments can use the 1 km resolution output to identify microclimates inside broader weather regions.
Forecasting teams can compare Atmo’s outputs against traditional approaches when they need rapid updates across short- and medium-range horizons.
Atmo builds AI meteorology systems that generate weather forecasts and related weather prediction outputs for governments, militaries, and enterprises. The homepage also references weather modification and ultra-high-resolution forecasting.
The homepage says Atmo collects weather measurement data in real time from satellites, ground stations, radars, and ocean buoys, then uses AI models to refine forecasts continuously.
Atmo says its models cover time scales from nowcasting (24 hours) to medium-range forecasting (14 days).
The homepage states that Atmo is trusted by customers including the United States Air Force, Navy, and the Philippines national government.
The pricing page was not available and returned a 404, so no pricing or plan information is confirmed from the source.
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