SciTransfer
Organization

MET OFFICE

UK national meteorological service delivering climate prediction, earth system modelling, and operational climate services across 47 partner countries.

National meteorological serviceenvironmentUK
H2020 projects
31
As coordinator
4
Total EC funding
€15.5M
Unique partners
399
What they do

Their core work

The UK Met Office is the national meteorological service, providing weather forecasts, climate predictions, and climate science research used by governments, industries, and international bodies. In H2020, they contribute advanced climate modelling, earth system simulation, and climate services — translating raw climate data into actionable information for sectors like agriculture, energy, water management, and marine operations. They are a major force behind Europe's climate prediction infrastructure, running some of the world's most powerful atmospheric and ocean models. Their work bridges the gap between fundamental climate science and practical decision-making tools for businesses and policymakers.

Core expertise

What they specialise in

Climate modelling and prediction systemsprimary
12 projects

Central to EUCP, PRIMAVERA, CRESCENDO, ESM2025, CONSTRAIN, ESiWACE/ESiWACE2, IS-ENES3, and APPLICATE — spanning earth system models, climate projections, and high-performance computing for simulation.

Climate services for end usersprimary
7 projects

Coordinator of Climateurope and participant in ERA4CS, MED-GOLD, SECLI-FIRM, CONFER, and FOCUS-Africa — all focused on making climate information usable by agriculture, energy, and water sectors.

Ocean observation and marine forecastingsecondary
5 projects

Contributed to MyOcean FO, AtlantOS, EuroSea, IMMERSE, and CEASELESS covering ocean modelling, Atlantic observing systems, and marine environment services.

Surface temperature and atmospheric measurementsecondary
3 projects

Coordinated EUSTACE (surface temperature for all Earth) and participated in GAIA-CLIM (atmospheric climate monitoring) and GROW (citizen observation with soil sensors).

Machine learning for climate scienceemerging
2 projects

Recent keyword appearances in CONFER (machine learning for climate adaptation) and related projects signal growing integration of ML into their climate prediction work.

Space weather and solar activitysecondary
2 projects

Participated in SWAMI (space weather atmosphere modelling) and FLARECAST (solar flare forecasting), applying atmospheric expertise to space domains.

Evolution & trajectory

How they've shifted over time

Early focus
Ocean observation and climate modelling
Recent focus
Actionable climate services and prediction

In 2014–2018, the Met Office focused heavily on ocean observation, Atlantic monitoring, and marine services (AtlantOS, MyOcean FO, CEASELESS), alongside foundational climate modelling (PRIMAVERA, CRESCENDO) and citizen sensor networks (GROW). From 2019 onward, the emphasis shifted decisively toward actionable climate services — particularly climate prediction for specific regions (Africa via CONFER and FOCUS-Africa), machine learning integration, and next-generation earth system models (ESM2025, IS-ENES3). The trajectory shows a clear move from building observing and modelling infrastructure toward delivering user-ready climate intelligence for adaptation and decision-making.

The Met Office is moving from pure climate modelling toward delivering tailored, sector-specific climate intelligence — increasingly using machine learning and targeting developing regions like Africa.

Collaboration profile

How they like to work

Role: active_partnerReach: Global47 countries collaborated

The Met Office primarily operates as a trusted partner in large consortia (26 of 31 projects as participant), but takes the lead on flagship climate prediction and services initiatives — coordinating EUCP (their largest project at EUR 1.66M), PRIMAVERA, Climateurope, and EUSTACE. With 399 unique partners across 47 countries, they are a major network hub in European climate research, bringing institutional credibility and operational infrastructure that makes them a sought-after consortium member. Their pattern suggests they are selective coordinators who lead strategically important projects while contributing specialist capability across a wide range of partnerships.

An exceptionally well-connected organization with 399 unique consortium partners spanning 47 countries, making them one of the most networked climate science institutions in H2020. Their reach extends well beyond Europe, with recent projects targeting East and Southern Africa indicating growing global engagement.

Why partner with them

What sets them apart

The Met Office is not a university lab — it is an operational national weather and climate service with supercomputing infrastructure, real-time data systems, and direct links to government decision-making. This combination of operational capability and research excellence is rare: they can take a climate model from research prototype to production service. For consortium builders, partnering with the Met Office means access to one of the world's top climate modelling centres with the mandate, infrastructure, and track record to deliver beyond the project lifetime.

Notable projects

Highlights from their portfolio

  • EUCP
    Their largest H2020 project (EUR 1.66M) as coordinator, building Europe's integrated climate prediction system — a flagship initiative combining regional modelling with user-facing climate services.
  • PRIMAVERA
    EUR 1.6M coordinated project advancing high-resolution climate modelling for European climate risk assessment, representing their core strength in process-based simulation.
  • CONFER
    Signals their strategic expansion into co-produced climate services for developing regions (East Africa), combining machine learning with climate adaptation — a clear indicator of future direction.
Cross-sector capabilities
Food & agriculture (climate services for crop planning, MED-GOLD olive/wine/wheat work)Marine & fisheries (ocean modelling, Atlantic observation systems)Space (space weather atmosphere modelling, solar activity forecasting)Energy & water (climate forecasts for resource management, hydrological extremes)
Analysis note: Rich dataset with 31 projects spanning the full H2020 period, clear keyword evolution, and a strong mix of coordinator and participant roles. One project record was truncated from the input (31st project not shown) but does not materially affect the analysis.