Starting in India, says the company, its models will be available to the general public, including developers, scientists, and business users alike. The models' outputs will be made accessible through Google Cloud's public dataset program, and will bring high resolution and refresh time to levels exceeding mesoscale models in developed countries.
The ClimaCell Bespoke Atmospheric Model ("CBAM") feeds from its proprietary "Weather-of-Things" inputs, which add millions of new observations that have not been previously used for weather forecasting - from wireless signals to car sensors. CBAM India applications, says the company, are of high impact and broad — from the ability to predict flood events to optimizing farmers and enterprise decisions.
CBAM India will be provided at a 2-km resolution and 15-minute timestep, and will provide a 48-hour forecast. This model, says the company, will serve as the foundation for a new generation of environmental prediction models, such as floods, air quality, and more.
"For the first time in history, a private company is offering a full-blown operational numerical weather prediction model for an entire country, working continuously and providing high resolution forecasts for up to 48 hours ahead," says Shimon Elkabetz, CEO and Co-Founder of ClimaCell. "Not only is it an historical milestone, we are providing it completely free of charge. We invite others to join us in making weather data free and accessible for everyone."
The company says it plans to provide free access to new CBAM domains in more geographies in the near future and to foster economic development and increase safety.
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