3D Coastal Ocean Foundational Model Using AI and SHCISM AND MLEOF Models.
NOAA · DEPT OF COMMERCE NOAA
Capture briefs (a one-page, shareable copy of this page) are part of Pro. The CSV here holds the notice, its timeline and past awards.
Where this opportunity stands
Every notice posted under solicitation 141009-26-0102 in this department, oldest first.
- Jul 27, 2026Pre-solicitationOpen
- Jul 27, 2026 · this noticePre-solicitation
Next steps for this stage
Standard steps for the notice type; not advice about this buyer.
- Answer the notice: this is when the requirement can still be shaped.
- Contact the contracting officer named on the notice.
- Check who won similar work; they are the likely bidders.
What the notice says
***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 SHCISM 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 BA… (show all)
SED 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. THE RESULTING AI-BASED MODEL WILL THEREFORE PROVIDE A READILY-DEPLOYABLE TOOL FOR PREDICTION OF TEMPERATURE, SALINITY, AND CURRENTS. THIS OPPORTUNITY WILL ENABLE NOS TO MAKE MAJOR ADVANCEMENTS IN COASTAL OCEAN MODELING AND PREDICTION THROUGH AI. FAILING TO SECURE THESE SERVICES THROUGH VIMS WOULD SEVERELY IMPEDE THE NOS�S ABILITY TO MEET MISSION-CRITICAL OBJECTIVES FOR COASTAL OCEAN MODELING AND PREDICTION. FURTHERMORE, IT WOULD CAUSE THE AGENCY TO MISS A PIVOTAL OPPORTUNITY FOR TRANSFORMATIVE PROGRESS IN ITS OPERATIONAL CAPABILITIES. MARKET RESEARCH FOR ADDITIONAL SOURCES FOUND NO OTHER QUALIFIED ENTITIES BECAUSE THE PROJECT REQUIRES A UNIQUE INTEGRATION OF PHYSICS-BASED MODELING AND SPECIFIC AI EXPERTISE HELD EXCLUSIVELY BY THE VIRGINIA INSTITUTE OF MARINE SCIENCE (VIMS). PREVIOUS RESEARCH FOR THE SURGE AND TIDE OPERATIONAL FORECAST SYSTEM WAS PERFORMED ON SELECTION OF BOTH THE PHYSICS-BASED MODELS. SCHISM WAS SELECTED FROM A RANGE OF OPEN SOURCE COMMUNITY OCEAN MODELS, DUE TO ITS ABILITY TO RESOLVE OCEAN PHYSICS ACROSS A GEOGRAPHIC RANGE FROM THE DEEP OCEAN TO THE NEARSHORE COASTAL ENVIRONMENT. THE SURGE AND TIDE OPERATIONAL FORECAST SYSTEM 3D IN THE ATLANTIC (STOFS-3D-ATLANTIC) IS A UNIQUE APPLICATION OF SCHISM THAT HAS BEEN WELL TESTED AND VERIFIED AS A HIGH FIDELITY, ACCURATE MODEL. STOFS-3D-ATLANTIC HAS A 26-YEAR HINDCAST SIMULATION WHICH HAS BEEN IDENTIFIED AS A UNIQUE LONG-TERM 3D HINDCAST THAT MEETS THE NEEDS OF THIS AI PROJECT. THIS TYPE OF 3D LONG-TERM APPLICATION OF A HIGH RESOLUTION MODEL FOR THE ATLANTIC AND GULF COASTS OF AMERICA IS UNPARALLELED. VIMS IS THE CREATOR OF THE SPECIFIC MACHINE-LEARNING EMPIRICAL ORTHOGONAL FUNCTION (MLEOF) AI TOOLS REQUIRED FOR THIS CONTRACT AND MAINTAINS UNIQUE, ESTABLISHED COORDINATION WITH LEADING AI DEVELOPERS. VIMS HAS UNIQUE EXPERTISE IN INTEGRATING COASTAL MODELS WITH ADVANCED AI. THIS PROJECT DEMANDS A PRECISE INTEGRATION OF PROPRIETARY PHYSICS-BASED MODELS AND HIGHLY SPECIALIZED AI METHODOLOGIES THAT ARE ONLY PROVIDED BY VIMS; NO OTHER SOURCE CAN PROVIDE THE NECESSARY SERVICES. MARAKET RESEARCH CONDUCTED FOUND NO ALTERNATIVE MODELS THAT MEET OCS� REQUIREMENTS. PERIOD OF PERFORMANCE: 10/01/2026 � 09/30/2027 ***THIS PRESOLICITATION NOTICE IS NOT A REQUEST FOR COMPETITIVE PROPOSALS AND NO SOLICITATION PACKAGE IS AVAILABLE. HOWEVER, FIRMS THAT BELIEVE THEY CAN FULLY MEET THE GOVERNMENT'S REQUIREMENTS MAY SUBMIT SUBSTANTIATING DOCUMENTATION OR A REQUEST FOR ADDITIONAL INFORMATION IN WRITING TO THE IDENTIFIED POINT OF CONTACT WITHIN 15 DAYS AFTER PUBLICATION OF THIS PRE-SOLICITATION NOTICE. SUCH REQUESTS AND DOCUMENTATION WILL BE EVALUATED SOLELY FOR THE PURPOSE OF DETERMINING WHETHER OR NOT TO CONDUCT THIS PROCUREMENT ON A COMPETITIVE BASIS. A DETERMINATION BY THE GOVERNMENT NOT TO CONDUCT A COMPETITIVE PROCUREMENT, BASED UPON RESPONSES TO THIS NOTICE, IS SOLELY WITHIN THE DISCRETION OF THE GOVERNMENT. ORAL COMMUNICATIONS ARE NOT ACCEPTABLE IN RESPONSE TO THIS NOTICE.
Who won similar work
6 award notices on SAM.gov in the last 24 months. Matched by: Same office (DEPT OF COMMERCE NOAA), same NAICS 541715.
Single-winner award sizes (6): middle half $727K to $53.5M, median $1.3M; range $144K to $74.5M.
| Winner | Awards | Value | Last |
|---|---|---|---|
| THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC | 1 | $74.5M | Aug 25, 2026 |
| UNIVERSITY CORPORATION | 1 | $70.7M | Sep 2, 2026 |
| INTERNATIONAL BUSINESS SALES AND SERVICES CORP | 1 | $1.8M | Aug 27, 2025 |
| GLOBAL SCIENCE & TECHNOLOGY INC | 1 | $805K | Jan 3, 2025 |
| ICATCH, INC. | 1 | $701K | Sep 22, 2026 |
| REGENTS OF THE UNIVERSITY OF MINNESOTA NW 5957 P. O. BOX 1450 Minneapolis MN 55485 USA | 1 | $144K | Sep 24, 2025 |
Value counts single-winner awards. "Shared" awards are multiple-award contracts that list every winner with the same total ceiling; that ceiling is not one company's win, so it is not added in. Revenue next to a ticker is the company's last annual revenue from its 10-K.
- Sep 22, 2026ICATCH, INC.$701KQ--Task order for Shrimp & Tuna Species - Genetic-BasNo listed company matched (Materiality N/A)
- Sep 2, 2026UNIVERSITY CORPORATION$70.7MA--Atmospheric Research and Development (R&D) and SciNo listed company matched (Materiality N/A)
- Aug 25, 2026THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC$74.5MA--Support to Satellite Environmental Monitoring ProgNo listed company matched (Materiality N/A)
- Sep 24, 2025REGENTS OF THE UNIVERSITY OF MINNESOTA NW 5957 P. O. BOX 1450 Minneapolis MN 55485 USA$144KD--Satellite Imagery Processing EnhancementsNo listed company matched (Materiality N/A)
- Aug 27, 2025INTERNATIONAL BUSINESS SALES AND SERVICES CORP$1.8MR--ASOS SLEP SupportNo listed company matched (Materiality N/A)
- Jan 3, 2025GLOBAL SCIENCE & TECHNOLOGY INC$805KR--Revised Ordering PeriodNo listed company matched (Materiality N/A)
Competitive landscape
For the 6 most frequent past winners above. Lobbying is matched by the company's exact name or exact ticker; agencies are as named on the filings.
- 0 of these past winners lobbied Natl Oceanic & Atmospheric Administration (NOAA) since 2024 (0 filings)
- 0 of their lobbyists list a past Natl Oceanic & Atmospheric Administration (NOAA) job
- No corporate PAC money from them to the overseeing committees since 2024
- 0 foreign-agent (FARA) registrations
Policy around it
Bills the past winners named while lobbying this agency's issues, rules from the department, and executive orders that name the agency, last 12 months.
- 0 bills named on the past winners' lobbying filings
- 305 rules from the department in the last 12 months
- 0 executive orders naming the agency in the last 12 months
Market
For past winners matched exactly to a listed company. Insider trades are open-market buys and sells (Form 4) in the last 90 days, shown as facts; our own study found insiders do not reliably buy ahead of awards. A sale marked 10b5-1 was made under a trading plan set up in advance.
- 0 of the past winners are listed companies
- 0 insider buys and 0 insider sells at them in the last 90 days
Sources: SAM.gov notices and award notices; Senate LDA lobbying filings; FEC filings; FARA; Federal Register; congress.gov; SEC Form 4. Every row above links to its record.
Companies are matched to tickers by exact name only. A company we could not match shows no market rows; that is a miss, not a finding.