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Montana State researcher wins NSF grant to improve flood forecasting
Montana State University
BOZEMAN — A new grant from the National Science Foundation will help a Montana State University researcher improve the ability to predict...
2 days ago
How a UH professor is improving hurricane forecasting
Click2Houston
Hurricanes are destructive storms that meteorologist have challenges forecasting. Despite the unique challenges these storms create,...
2 days ago
WTW partners with CU Boulder to enhance climate prediction for insurers
Insurance Business America
It aims to improve forecasts for El Niņo, La Niņa, and weather impacts.
3 days ago
Real-time ocean data enhances hurricane forecasting accuracy
Hydro International
In a significant step forward for weather forecasting, Sofar Ocean has teamed up with the National Mesonet Program (NMP), KBR, and Synoptic...
4 days ago
AI-Based Demand Forecasting: Optimizing Supply Chains
Appinventiv
Discover how AI-based demand forecasting enhances supply chain efficiency, reduces errors, and improves decision-making for businesses...
4 days ago
Trilliant Announces Analytics as a Service, Enabling Utilities to Improve Data Analysis and Forecasting
Business Wire
Trilliant announced Analytics as a Service, which enables utilities worldwide to further leverage data — saving time, reducing energy losses...
5 days ago
Research links El Niņo to Atlantic weather a year later, could enhance long-range weather forecasting
Phys.org
New research has revealed that the impact of one of the world's most influential global climate patterns is much more far-reaching than...
1 week ago
Ground Game: Raytheon’s Mission Operations Centers Improve Forecasting for Civilian Space Missions
SpaceNews
Raytheon is leading the charge by building a new generation of MOCs that are more scalable, automated, secure, modular, and adaptive than their predecessors.
1 week ago
New Coronagraph on GOES-U Will Enhance Space Weather Forecasting
National Environmental Satellite, Data, and Information Service (.gov)
The new CCOR-1 will deliver CME imagery within 30 minutes of acquisition, compared to LASCO's imaging that can take up to 8 hours.
3 months ago
Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants
Nature
This paper introduces Sybil, a framework that integrates machine learning and variant-aware compartmental models, leveraging a fusion of data-centric and...
1 month ago