Investigating the Value of Adding Diverse ML Models to the IMPROVER Blend
Details
- Buyer
- Met Office
- Supplier(s)
- University of Exeter
- Value
- £297,014.28
- Duration
- 2 years
- Topic
- Research services
- Published
- 16 October 2026
- Source
- uk:find_a_tender
Tender description
Does incorporating a broader and more diverse range of machine learning weather forecasting models into the IMPROVER blend deliver sufficient forecast improvement and operational value to justify the additional complexity of implementation and operation? ## Contract award
Timeline
- Completed: Award date7 September 2026
- Completed: Award published16 October 2026Current notice
- Next: Contract expiry date31 March 2028in 17 months
About the buyer
Met Office buys as a central government agency, delivering weather and climate services as an executive agency and trading fund of the Department for Science, Innovation and Technology. Collaborative government agreements route much of its buying through the Crown Commercial Service, alongside the ESPO and YPO frameworks. Standard contracts are awarded through desktop competitions or full tender exercises, usually inviting four or more suppliers to bid. The commercial team runs this process, following Cabinet Office best practice.
Over the past 5 years, most of Met Office's contract awards have been in software and information systems, research and development and IT services.
Relevant CPV codes
- 73110000 · Research services
Decision makers
Connect with the people behind this procurement.
| Contact name | Job title | Phone number | Work email |
|---|---|---|---|
| Head of Procurement | +44 •••• •••••• | ••••••••@met-office.gov | |
| Commercial Director | +44 •••• •••••• | ••••••••@met-office.gov | |
| Procurement Manager | +44 •••• •••••• | ••••••••@met-office.gov | |
| Category Lead | +44 •••• •••••• | ••••••••@met-office.gov | |
| Senior Buyer | +44 •••• •••••• | ••••••••@met-office.gov | |
| Contracts Manager | +44 •••• •••••• | ••••••••@met-office.gov |
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