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This Government Contract opportunity from Department Of Commerce was posted on August 12, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Numerical Model Calibration and Validation Using Observational Data

Closed
Federal

Contract Overview

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AI Contract Overview

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This subcontract with the Department of Commerce NOAA focuses on the calibration and validation of the FVCOM-FABM-ERSEM model. The project utilizes GLERL observational datasets spanning from 2014 to 2020 to analyze specific environmental indicators, including chlorophyll-a, dissolved oxygen, nutrients, and pH. The primary objective is to produce documented parameters, performance metrics, and comprehensive uncertainty assessments. The opportunity was posted on August 12, 2026, with a response deadline of August 19, 2026. It is categorized under NAICS code 541690, reflecting its nature as a scientific and technical consulting service.

General Info

NOAA subcontract for FVCOM-FABM-ERSEM model calibration and validation using GLERL observational datasets.

Agency

Department Of Commerce NoaaView Agency

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

WA, USA

Set-Aside

NONE

Documents

This scope was carved out of REQUIREMENTS-26-3751-SS.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Scientific Research on FVCOM Modeling of Lake Erie

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Timeline

PhaseClosed
Posted

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Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Commerce Noaa
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Commerce Noaa
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Calibrate and validate the FVCOM-FABM-ERSEM model using GLERL observational datasets for chlorophyll-a, dissolved oxygen, nutrients, and pH from 2014–2020, delivering documented parameters, metrics, and uncertainty assessments.

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