SciTransfer
Organization

SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT

Sweden's national weather and climate institute — operational forecasting, Earth system modelling, and climate services across 36 H2020 projects.

National meteorological and hydrological instituteenvironmentSE
H2020 projects
36
As coordinator
2
Total EC funding
€12.8M
Unique partners
458
What they do

Their core work

SMHI is Sweden's national meteorological and hydrological institute, providing weather forecasts, climate data, and water management services. In EU research, they contribute operational climate modelling, seasonal-to-decadal prediction systems, and hydrological forecasting expertise. They are a key European node for translating earth system models into actionable climate services — helping sectors like energy, agriculture, and water utilities make decisions based on climate data. Their work spans from global Earth system simulations to regional flood forecasting in West Africa.

Core expertise

What they specialise in

Climate services and prediction systemsprimary
12 projects

Core contributor across Climateurope, EUCP, CLARA, S2S4E, ERA4CS, and multiple climate service delivery projects spanning 2015-2023.

Earth system modelling and simulationprimary
8 projects

Sustained involvement in ESiWACE, ESiWACE2, CRESCENDO, IS-ENES3, PRIMAVERA, and FORCeS — all focused on improving Earth system model infrastructure and climate projections.

Hydrological forecasting and water managementprimary
5 projects

Coordinated FANFAR (flood forecasting for West Africa), contributed to IMPREX (hydrological extremes), SPACE-O (water quality), and PrimeWater.

3 projects

Coordinated OSeaIce (ocean-sea ice interactions), participated in INTAROS (Arctic observation) and KEPLER (polar monitoring).

Evolution & trajectory

How they've shifted over time

Early focus
Climate services framework building
Recent focus
Applied Earth observation and AI

In the early H2020 period (2014-2018), SMHI focused heavily on building foundational climate service frameworks — stakeholder engagement, socio-economic scenario development, and integrated assessment modelling (CRESCENDO, ERA4CS, Climateurope). From 2019 onward, their work shifted markedly toward operational Earth observation, machine learning applications, food security in Africa, and research infrastructure sustainability (e-shape, AfriCultuReS, IS-ENES3). The recent period also shows increased engagement with coastal and polar observation systems, suggesting a broadening from pure climate modelling toward applied environmental monitoring.

SMHI is moving from climate model development toward operational decision-support systems that combine Earth observation with machine learning — expect future projects at the intersection of AI, climate data, and sectoral applications.

Collaboration profile

How they like to work

Role: active_partnerReach: Global57 countries collaborated

SMHI overwhelmingly operates as a technical partner rather than a project leader — only 2 of 36 projects were coordinated, both relatively small and focused (FANFAR for flood forecasting, OSeaIce as an MSCA fellowship). With 458 unique consortium partners across 57 countries, they are a high-connectivity hub in European climate research, embedded in nearly every major Earth system modelling and climate services consortium. This makes them an easy partner to approach: they are experienced collaborators comfortable in large multinational consortia, but unlikely to take on the coordination burden.

SMHI has collaborated with 458 distinct partners across 57 countries, making them one of the most broadly connected climate institutions in Europe. Their network extends well beyond the EU into Africa (FANFAR, AfriCultuReS) and the Arctic, giving them unusual geographic reach for a national meteorological institute.

Why partner with them

What sets them apart

SMHI occupies a rare position as both a national government agency and a deeply embedded European research partner — they bring operational weather and climate infrastructure that most research institutes simply cannot offer. Their combination of real-time forecasting systems, long-term climate modelling, and hydrological expertise makes them a one-stop partner for any project needing credible climate data pipelines. For consortium builders, SMHI adds institutional weight and operational credibility that strengthens proposals, particularly those requiring connections to Copernicus services or national meteorological networks.

Notable projects

Highlights from their portfolio

  • PRIMAVERA
    Largest single project funding (EUR 1.1M) — high-resolution climate modelling for European risk assessment, reflecting SMHI's core competence at scale.
  • FANFAR
    One of only two projects SMHI coordinated — operational flood forecasting for West Africa, demonstrating their ability to export Nordic hydrological expertise to developing regions.
  • AfriCultuReS
    Unusual cross-sector reach: combining Earth observation, climate services, and food security for African agriculture — shows SMHI's capacity beyond traditional meteorology.
Cross-sector capabilities
Food & agriculture (climate impact on crops, seasonal forecasting for farming)Energy (sub-seasonal to seasonal forecasting for renewable energy and demand planning)Transport & aviation (atmospheric hazard monitoring, as in EUNADICS-AV)Blue growth & marine (ocean observation, fisheries climate impact)
Analysis note: Rich dataset with 36 projects, clear keyword evolution, and well-documented sector spread. Profile is high-confidence. Six projects beyond the displayed 30 were not available for detailed analysis but the visible 30 provide comprehensive coverage.