Machine Learning Downscaling Capability for Environmental Forecasts
ID: N252-105Type: BOTH
Overview

Topic

Machine Learning Downscaling Capability for Environmental Forecasts

Agency

Agency: DODBranch: NAVY

Program

Type: SBIRPhase: BOTH
Timeline
    Description

    The Department of Defense, specifically the Navy, is seeking innovative solutions through the Small Business Innovation Research (SBIR) program to develop a Machine Learning Downscaling Capability for Environmental Forecasts. The objective is to create a system that generates high-resolution environmental forecasts (less than 1 km horizontal and approximately 10 m vertical resolution) for tactical and local scale applications, addressing the current gaps in forecast fidelity at these scales. This capability is crucial for various applications, including predicting tropical cyclone impacts, aviation visibility, and navigation through sea ice, where small-scale environmental features significantly influence outcomes. The opportunity is currently in the pre-release phase, with the solicitation set to open on April 23, 2025, and close on May 21, 2025. Interested parties can find more information and submit proposals through the official SBIR website at https://www.dodsbirsttr.mil/topics-app/.

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