Key contacts
- Science Leader: Prof. Rachel Lowe, Barcelona Supercomputing Center
- Deputy Science Leader: Prof. Joacim Rocklöv, Heidelberg University
- Project Manager: Dr Carlos Doménech, GMV
- ESA Technical Officer: Dr Clement Albergel, ESA
Project Prime
GMV
Project role: GMV leads the overall project coordination, technical and administrative management, implementation of the open repository, stakeholder engagement, and dissemination activities. GMV also leads the South Sudan use case on flooding impacts on health services and contributes to the EO integration strategy across all case studies
Project Partners
Barcelona Supercomputing Center
Project role: BSC serves as the Scientific Leader, ensuring scientific coherence and methodological excellence. BSC leads the health impact attribution work and contributes modelling and climate–health analytics across use cases. The team provides high-performance computing capabilities and validated climate–sensitive disease indicators
University of Heidelberg
Project role: Heidelberg leads the development of the Climate and Health Adaptation Roadmap, translating scientific results into policy-ready guidance. The university also contributes expertise on climate–health interactions, vector-borne disease dynamics, and adaptation planning, and leads the Sri Lanka use case on dengue and leptospirosis.
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale" (IZS-AM)
Project role: IZS-AM leads the Sudan malaria use case, integrating EO, epidemiological modelling, and One Health approaches. The institute contributes expertise in vector-borne disease surveillance, EO-based risk modelling, and data processing pipelines for environmental health analytics.
Plymouth Marine Laboratory
Project role: PML leads the UK and Brazil water-quality use cases, using ocean colour and inland water EO products to model E. coli and leptospirosis risks. PML provides advanced EO processing capabilities, hydrological modelling expertise, and experience with waterborne disease risk mapping
Laboratory for Climate and Environmental Sciences (LSCE)
Project role: LSCE leads the wildfire–health use case, developing machine-learning models for burned area prediction, pollutant emission estimation, and respiratory health burden assessment. LSCE contributes climate modelling expertise, air-quality modelling, and multi-scenario projections.
Project Stakeholders
Instituto Nacional de Pesquisas Espaciais (INPE)
Project role: Provides in-situ water-quality data, regulatory context, and co-lead the use case “Climate-relate Leptospirosis health risks in Brazil”.
Environment Agency
Project role: Provides in-situ water-quality data, regulatory context, and operational insights for the UK E. coli risk-mapping use case.