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AmazonFACE SIF data set processing and report

Met Office

This public procurement record has 1 release in its history.

Award

09 Sep 2026 at 16:40

UK6 - Contract Award Notice
Summary of the contracting process

The Met Office commissioned specialist research services for the AmazonFACE SIF dataset. The work covers processing and interpreting solar-induced fluorescence (SIF) observations, providing support for their integration with the Joint UK Land Environment Simulator (JULES), producing quality-assured analysis, and making recommendations for future use of the dataset. This is a scientific data-processing and environmental research requirement, classified under CPV 73110000 (research services). The buying organisation is the Met Office, based in Exeter. The requirement is for work supporting AmazonFACE observations and their exploitation, rather than general IT, routine data entry or broad consultancy. It may suit universities, environmental research organisations and specialist scientific data-analysis providers with relevant modelling expertise.

This procurement is complete and was awarded on 27 July 2026. It used a selective procedure below the public procurement threshold, with the award made under a framework agreement; the process was non-competitive. There was one lot. The contract was awarded to the University of Reading for £19,667.26 excluding VAT, or £23,600.71 including VAT. The contract period runs from 9 September 2026 to 31 March 2027, with signature scheduled for 9 September 2026. The selected supplier is the University of Reading. The published outcome identifies the requirement as research services and records the award against the single lot. This is an awarded, completed procurement rather than an opportunity currently seeking bids.

For a supplier assessing future work with the Met Office, this award demonstrates demand for specialist analysis of AmazonFACE solar-induced fluorescence observations, including processing, interpretation, quality assurance and scientific reporting. A credible competitor would need demonstrable expertise in SIF data and environmental or Earth-system research, with the ability to turn observations into robust analysis and practical recommendations. Capability to integrate results with JULES is central, so experience with land-surface or climate modelling and related scientific software would be important. The requirement also favours organisations able to provide research-level interpretation, collaborate with a national meteorological service and manage a focused dataset-processing assignment through to documented outputs. The University of Reading's selection indicates that established academic research capability is a relevant benchmark.

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Notice Information

Notice Title

AmazonFACE SIF data set processing and report

Notice Description

This contract will provide specialist expertise in SIF processing, interpretation and support for integration with JULES to deliver quality-assured analysis of Amazon FACE SIF observations and recommendations for future exploitation of the dataset.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06f5ff
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/085545-2026
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK6 - Contract Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Below threshold - award under framework
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73110000 - Research services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
£19,667 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
9 Sep 20266 days ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
27 Jul 20261 months ago
Contract Period
9 Sep 2026 - 31 Mar 2027 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Met Office
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
EXETER
Postcode
EX1 3PB
Postcode Area
Exeter
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK4 Devon
Small Region (ITL 3)
TLK43 Devon CC
Delivery Location
Not specified
Local Authority
Exeter
Electoral Ward
Pinhoe
Westminster Constituency
Exmouth and Exeter East

Supplier Information

Number of Suppliers
1
Supplier Name

University of Reading

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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