Hyperlocal and granular weather data, utilizing proprietary modeling and algorithms for accurate short-term forecasts in specific geographic areas
Snowflake Weather is an innovative weather forecasting platform designed to provide hyperlocal and very precise short-term weather predictions. It was developed by a team of meteorologists, data scientists, and engineers to address the need for more granular weather data than what is typically available from consumer weather providers.
The software utilizes advanced proprietary weather modeling, statistical techniques, and algorithms to generate accurate and reliable forecasts for specific geographic areas as small as a neighborhood or park. By combining traditional weather data sources with real-time data from a network of sensors and IoT devices, Snowflake Weather can update forecasts every 15 minutes for the next 0-6 hours.
Key capabilities and benefits include:
Snowflake Weather was built to serve industrial users like renewable energy companies, construction firms, event producers, and agriculture as well as government agencies. It enables better operational efficiency through improved short-term planning related to weather.
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