Core contributor across CRESCENDO, IS-ENES3, ESM2025, ERA4CS, FORCeS, MAELSTROM, and KEPLER — spanning model development, climate projections, and aerosol forcing.
METEOROLOGISK INSTITUTT
Norway's meteorological institute specializing in climate modelling, Arctic monitoring, air quality forecasting, and operational Copernicus environmental services.
Their core work
Norway's national meteorological institute, providing weather forecasts, climate projections, and atmospheric monitoring services. They specialize in Earth system modelling, Arctic and polar region observation, air quality forecasting, and climate services — translating atmospheric science into operational tools for society. Their work spans from real-time weather prediction to long-term climate change assessments, with particular strength in polar and high-latitude environments where few institutions have comparable expertise.
What they specialise in
Deep involvement in INTERACT (phases 1 and 2), APPLICATE, KEPLER, Arctic PASSION, and PolarRES — covering pan-Arctic monitoring, prediction systems, and observing networks.
Consistent thread from MACC-III through ACTRIS-2, PAPILA, PMCOST, EMERGE, and RI-URBANS — covering emissions modelling, particulate matter, and urban air quality.
Active in Copernicus precursors (MACC-III, MyOcean FO) and downstream services (ExtremeEarth, KEPLER) for operational monitoring and big data analytics.
IPM Decisions project applies meteorological data to crop protection decision support, signalling expansion into agricultural weather services.
MAELSTROM project focuses on scalable machine learning for meteorology and climate, indicating a move toward AI-driven forecasting methods.
How they've shifted over time
In 2014–2018, MET Norway focused on atmospheric composition monitoring (MACC-III), Earth system model development (CRESCENDO), and building climate service frameworks (ERA4CS) — essentially strengthening foundational modelling and observation capabilities. From 2019 onward, the emphasis shifted decisively toward Arctic/polar operational systems (KEPLER as coordinator, Arctic PASSION, PolarRES), research infrastructure interoperability (ENVRI-FAIR, RI-URBANS), and applied domains like machine learning for meteorology (MAELSTROM) and agricultural weather services (IPM Decisions). The trajectory shows a clear move from building models to deploying operational services, especially in polar regions.
MET Norway is consolidating its position as Europe's go-to partner for Arctic environmental monitoring and prediction services, while integrating machine learning into its forecasting capabilities.
How they like to work
Almost exclusively a participant (23 of 25 projects), with only one coordinator role (KEPLER) — they contribute deep technical expertise rather than leading consortium management. With 399 unique partners across 55 countries, they operate as a highly connected hub in European environmental research, open to diverse collaborations. Their consistent presence in large Research Infrastructure and RIA projects (18 RIA projects) suggests they are a reliable, low-maintenance partner valued for their operational capabilities and data assets.
An exceptionally well-connected institution with 399 unique consortium partners across 55 countries, reflecting deep integration into global climate and environmental research networks. Their geographic reach extends well beyond Europe into Arctic nations, Latin America (PAPILA), and polar research communities worldwide.
What sets them apart
MET Norway sits at a rare intersection: a national meteorological service with the research depth of a university and the operational mandate to run real-time forecasting systems. This means they can take climate models from research prototype to production service — a capability most academic partners lack. Their Arctic expertise is particularly distinctive; few European institutions combine polar observation infrastructure, ice/ocean forecasting, and Copernicus service delivery at this scale.
Highlights from their portfolio
- KEPLERTheir only coordinator role (EUR 712K) — a polar Copernicus project demonstrating they can lead when the topic aligns with their core Arctic monitoring mission.
- Arctic PASSIONLargest single grant (EUR 1.1M) building a pan-Arctic observing system, reflecting their central role in Arctic infrastructure coordination.
- MAELSTROMSignals a strategic pivot toward machine learning for meteorology — a forward-looking investment in AI-driven weather and climate prediction.