Sparse Data Initialization for Machine Learning Weather Prediction Models

Sparse Data Initialization for Machine Learning Weather Prediction Models

ID: N251-064Type: BOTH

Overview

Topic

Sparse Data Initialization for Machine Learning Weather Prediction Models

Agency

Agency: DODBranch: NAVY

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/

Timeline

Description

The Department of Defense, specifically the Navy, is seeking innovative solutions through the SBIR program for the development of a machine learning weather prediction (MLWP) system aimed at generating complete model analyses and skillful forecasts from sparse and irregular observational data. The objective is to create a technique that transcends traditional data assimilation methods, allowing for the integration of various data types and qualities, ultimately enhancing the operational capabilities of MLWP models. This opportunity is critical for advancing weather prediction technologies, with the potential for dual-use applications in collaboration with agencies like NOAA and NASA. The solicitation is currently in pre-release, with an open date of January 8, 2025, and a close date of February 5, 2025, by which interested parties must submit their applications.

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