Rodb 2 do 6
Past New Requirement Updated
- Agency
-
National Oceanic and Atmospheric Administration
Department of Commerce
- Solicitation expected
- Estimated value
- $20,100,000 to $50,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- 518210 Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Place of performance
- Silver Spring, Maryland, United States
- Forecast number
- 54282
- Points of contact
Forecast details come from the Commerce Department's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The Department of Commerce's National Oceanic and Atmospheric Administration (NOAA) intends to acquire near-real-time radio occultation (RO) satellite data through a Delivery Order 6 under the GNSS Radio Occultation Commercial Data Buy IDIQ contract. The data will be used for operational numerical weather prediction models, space weather models, and other systems, with specific requirements outlined in the Statement of Work section C.3.2 for Neutral Atmosphere Data. NOAA has estimated the solicitation release date as May 15, 2026, with an anticipated award date of August 15, 2026.
The forecasted contract has an estimated award value range between $20.1 million and $50 million, to be competitively awarded as a delivery/task order. The place of performance is located in Silver Spring, Maryland, and the contract will be managed through NOAA's National Environmental Satellite, Data and Information Services (NESDIS) office. The primary point of contact for this opportunity is Cherron Bennett-Pettus, a Contract Specialist at NOAA, who can be reached at cherron.bennett-pettus@noaa.gov or +1 (301) 628-1386.
Forecast text
Radio Occultation Data Buy for Delivery Order 6 NOAA intends to acquire near-real-time radio occultation (RO) satellite data satisfying the requirements set forth in the GNSS Radio Occultation Commercial Data Buy IDIQ contract, SOW section C.3.2 Data Requirements - Neutral Atmosphere Data. NOAA intends to use these data in operational numerical weather prediction models, space weather models, and other systems.
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