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Kelly Peters
By Kelly Peters
Kelly Peters
Kelly Peters
Currently's Director of Marketing, Kelly Peters is a growth-focused marketing leader with 10+ years of experience driving strategic communications and demand-focused initiatives for brands like CNBC, NBCUniversal, Dicks Sporting Goods, and JazzHR. At, she leads a dynamic team of growth and AI marketers in driving revenue with bold storytelling, radical creativity, and, above all else, human connection. Kelly graduated from Syracuse University and lives in Pittsburgh, PA.
May 10, 2023· 2 min, 2 sec Releases Next Generation Real-Time and Nowcast Global Precipitation Data's Next Generation v2.0 Unified Precipitation Next Generation v2.0 improves short-term forecast accuracy and processing speed for US precipitation data.

Achievement leveraged an approach powered by satellite data and supercharged with AI/ML resulting in best-in-class precipitation accuracy from 0-6 hours for high-impact weather events.

Boston, May, 10 2023 –, the world’s leading weather intelligence and climate adaptation platform, has released a new Unified Precipitation (UP) solution that leverages state-of-the-art satellite data and machine learning to provide real-time and nowcast (0-6 hours) global precipitation with unparalleled accuracy. Developed by’s R&D team, the solution is set to provide users with 48-61% better precipitation intensity accuracy and, depending on region, a 39-49% improvement in precipitation detection compared to similar publicly-available satellite-based products, such as the Global Hydro-Estimator, based on direct comparison with radar data from NASA/JAXA’s Global Precipitation Measurement satellite. The accuracy of accumulated precipitation is on par with or better than microwave-based products with 2-4 hour latency such as CMORPH/IMERG, based on comparisons with the NOAA Multi-Radar, Multi-Sensor precipitation analysis over the continental United States.’s solution went live on April 27. 

The Unified Precipitation solution is powered by’s proprietary technology and supercharged with AI/ML. “We are ingesting data from five geostationary satellites, including GOES-16/18, Himawari-9, and METEOSAT-9/10, to produce a global product with less than 15-minute latency”, said Joe Munchak, Principal Atmospheric Data Scientist at, adding “In addition to traditional inputs, it leverages multi-channel satellite data and applies machine learning to relate cloud patterns and structure to the underlying precipitation. What is now a multi-sensor precipitation product renders benefits to users in regions both with and without radar coverage.” The result is a dramatic improvement to accuracy and detection statistics worldwide, significantly reducing weather misses related to the non-detection of precipitation.”

With significantly more precipitation being accurately detected, particularly outside of radar coverage, users will benefit from more realistic short range precipitation forecasts as is able to provide users with high-impact weather event precipitation accuracy from 0-6 hours to better predict rapidly evolving storms traditional models miss. The company also plans to continue to grow the amount of surface-based radar data along with the data coming from its satellite radar and sounder constellation infused with the Unified Precipitation solution to provide the most complete precipitation data mapping on a global scale.

Hear more from our Atmospheric Data Team Manager John L’Heureux:

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