3D Coastal Ocean Foundational Model Using Ai Tender - 146038279

Procurement Summary

Country: USA

Summary: 3D Coastal Ocean Foundational Model Using Ai, Schism and Mleof Models

Deadline: 11 Aug 2026

Posting Date: 28 Jul 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 146038279

Document Ref. No.: 141009-26-0102

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

***THE NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION-S (NOAA) ACQUISITION & GRANTS OFFICE, EASTERN ACQUISITION DIVISION-NORFOLK, NATIONAL OCEAN SERVICE (NOS) OFFICE OF COAST SURVEY (OCS), INTENDS TO NEGOTIATE AND AWARD A PURCHASE ORDER, ON A SOLE SOURCE BASIS, UNDER AUTHORITY OF RFO FAR 6.103-1, WITH VIRGINIA INSTITUTE OF MARINE SCIENCE (VIMS) TO DEVELOP AN AI-BASED PREDICTIVE MODEL OF OCEAN TEMPERATURE, SALINITY, AND CURRENTS USING SCHISM AND MLEOF MODELS.
NO SET ASIDE IS TO BE USED FOR THIS SOLE SOURCE REQUIREMENT. THE ASSOCIATED NAICS CODE IS 541715.
***THE SOLE SOURCE DETERMINATION IS BASED ON NOAA-S REQUIREMENT THAT VIRGINIA INSTITUTE OF MARINE SCIENCE (VIMS) IS THE OWNER AND DEVELOPER OF THE SCHISM MODEL WHICH WILL BE USED TO GENERATE THE PHYSICS- BASED SIMULATIONS UPON WHICH THE AI TOOLS WILL BE APPLIED. VIMS ALSO DEVELOPED THE SPECIFIC 3D COMPONENT OF THE SURGE AND TIDE OPERATIONAL FORECAST SYSTEM FOR THE ATLANTIC OCEAN (STOFS-3D-ATLANTIC), WHICH IS THE SCHISM-BASED MOD APPLICATION TO BE USED IN THIS PROJECT. VIMS CREATED THE PHYSICS-GROUNDED MACHINE-LEARNING EMPIRICAL ORTHOGONAL FUNCTION (MLEOF) AI TOOL REQUIRED FOR THIS PREDICTIVE MODELING CONTRACT.
VIMS DOES NOT HAVE ANY AUTHORIZED PARTNERS WHO CAN PROVIDE THESE TECHNOLOGIES.
THE SERVICES PROVIDED WILL BE THE APPLICATION OF AI TECHNIQUES TO LEARN FROM OCEAN MODEL SIMULATIONS IN ORDER TO DEVELOP AN AI-BASED PREDICTIVE MODEL OF OCEAN TEMPERATURE, SALINITY, AND CURRENTS. THE MODEL SIMULATIONS TO BE USED FOR THIS WILL BE FROM AN APPLICATION OF THE SCHISM (SEMI-IMPLICIT CROSS-SCALE HYDROSCIENCE INTEGRATED SYSTEM MODEL) MODEL DEVELOPED BY THE VIRGINIA INSTITUTE OF MARINE SCIENCE (VIMS). THE AI TECHNOLOGY THAT WILL BE USED TO LEARN FROM THE SCHISM MODEL RESULTS WILL INCLUDE A MACHINE-LEARNING EMPIRICAL ORTHOGONAL FUNCTION (MLEOF) AND A GENERATIVE FORECASTING TRANSFORMER (GFT). VIMS HAS DEVELOPED EXPERTISE WITH THESE TECHNIQUES THAT WILL ALLOW THEIR APPLICATION TO ITS SCHISM-BASED MODELING RESULTS...
Notice ID: 141009-26-0102

Department/Ind. Agency: commerce, department of

Sub-tier: national oceanic and atmospheric administration

Office: dept of commerce noaa

Product Service Code: b526 - special studies/analysis- oceanological

NAICS Code: 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Inactive Dates: aug 12, 2026

Inactive Policy: manual

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