SciTransfer
Organization

METEOGRID SL

Spanish meteorological SME specializing in fire weather modeling and climate risk data for wildfire management and adaptation across Europe.

Technology SMEenvironmentESSMEThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€330K
Unique partners
62
What they do

Their core work

METEOGRID SL is a Madrid-based private company specializing in meteorological modeling and climate data services applied to environmental risk management. Their work focuses on translating weather and climate data into actionable risk assessments — first for general climate adaptation planning, then increasingly for wildfire risk and fire behavior modeling. In their most substantial EU project, FirEUrisk, they contribute meteorological expertise to pan-European strategies for managing wildfire risk under future climate and socio-economic scenarios. Their core value lies in operational weather grid services that connect climate science to real-world risk reduction and emergency management decisions.

Core expertise

What they specialise in

Fire weather and wildfire risk modelingprimary
1 project

In FirEUrisk (2021-2025), METEOGRID contributed to wildfire risk strategies addressing megafires and wildland-urban interface dangers under future climatic scenarios, most likely providing fire weather modeling and meteorological data inputs.

Climate adaptation data servicessecondary
2 projects

In CLARITY (2017-2020) they supported tools for measuring climate resilience efficiency, and FirEUrisk explicitly addresses future climatic and socio-economic scenarios — both requiring climate data provision.

Environmental risk assessment and scenario modelingsecondary
2 projects

Both projects position METEOGRID as a provider of meteorological intelligence for risk quantification — climate resilience measurement in CLARITY and multi-hazard fire danger in FirEUrisk.

Citizen science integration in environmental monitoringemerging
1 project

FirEUrisk's keyword list includes citizen science and citizen protection, indicating METEOGRID engages with participatory data approaches in fire risk communication and monitoring.

Evolution & trajectory

How they've shifted over time

Early focus
General climate adaptation data
Recent focus
Wildfire risk and fire weather

METEOGRID's early EU engagement in CLARITY (2017-2020) was broad and unspecific — climate adaptation tools with no domain-focused keywords recorded, and a modest funding level of EUR 40,000 that suggests a supporting data or modeling provider role within a larger consortium. By 2021 they made a sharp pivot into wildfire, joining FirEUrisk with over seven times the funding and a highly specific keyword profile: forest fires, megafires, wildland-urban interface, risk reduction, fire management, and human factors. This shift points to a deliberate strategy to concentrate their meteorological capabilities on wildfire risk — a domain of rapidly growing European policy and funding priority.

METEOGRID is moving firmly into wildfire meteorology and fire danger modeling — a sector growing in urgency as Southern European megafires intensify, positioning them as a relevant specialist for future EU civil protection, Horizon Europe, and national wildfire risk programs.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European19 countries collaborated

METEOGRID has operated exclusively as a consortium partner across both EU projects — they have never led a project, suggesting they position themselves as specialist technical contributors rather than consortium managers. Despite only two projects, they have accumulated 62 unique partners across 19 countries, reflecting participation in large, complex multi-partner consortia typical of European environmental research. They appear to join projects where their meteorological modeling fills a defined technical gap rather than driving the overall research agenda.

With 62 unique partners across 19 countries from just two projects, METEOGRID has been embedded in large, internationally diverse European research consortia. Their geographic reach extends well beyond Spain, spanning nearly a fifth of possible EU and associated partner countries — unusual breadth for an SME of this size.

Why partner with them

What sets them apart

METEOGRID occupies a narrow but increasingly valuable niche: operational meteorological modeling applied specifically to environmental hazard risk — climate adaptation first, then wildfire. As a private SME rather than a research institute, they likely bring commercial-grade weather grid and forecasting capabilities that academic partners cannot, bridging climate science and operational risk management practice. Their trajectory into fire weather meteorology positions them well for a domain expected to attract substantial EU research and civil protection investment through 2030.

Notable projects

Highlights from their portfolio

  • FirEUrisk
    Their largest EU engagement by far at EUR 289,688, covering the full scope of European wildfire risk — megafires, human factors, citizen science, wildland-urban interface, future climate scenarios — marking a clear strategic specialization in fire meteorology and risk management.
  • CLARITY
    Their entry into EU research collaboration as a climate data and tool provider, establishing the foundation for their subsequent pivot into environmental hazard risk modeling.
Cross-sector capabilities
Civil protection and emergency managementUrban and land-use planning (wildland-urban interface)Climate risk assessment for insurance and infrastructure sectorsAgriculture and forest management under climate change
Analysis note: Profile is based on only two projects, and the early project (CLARITY) carries no associated keywords, making expertise evolution analysis partly inferential. The name 'METEOGRID' strongly implies meteorological grid or weather modeling services, but this is not explicitly confirmed by available project data. The wildfire specialization is clear from FirEUrisk, but the specific technical contributions within each consortium are not documented in the source data.