Scout | Sparse Data Initialization for Machine Learning Weather Prediction Models

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Sparse Data Initialization for Machine Learning Weather Prediction Models

This grant opportunity focuses on developing a machine learning weather prediction system to create accurate forecasts from incomplete and irregular observational data.

Phase I involves understanding the technical challenges of initiating these models with sparse data and creating innovative solutions by studying current data assimilation and forecast analysis methods.…

Source

Agency: Department of the Navy

Dates

Opportunity Released: January 8, 2025

Keywords

machine learning

weather prediction

data assimilation

forecast analysis

remote sensing

satellite data

environmental modeling

AI techniques

meteorological software

dual-use applications

Supporting Links

Documents

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