meteoblue is a spin-off of the University of Basel and therefore ever since its founding we have been engaged to support research and education. Besides the cooperation with schools and universities, meteoblue participates in several EU projects(EU Horizon 2020, Horizon Europe) as well as in other research programmes, such as Innosuisse. In these projects, meteoblue takes the role of the weather and climate data and services provider. What the project partners value most is the wealth of weather information in the proprietary and open data offered by meteoblue, paired with ease of access to the data required for their specific needs.
For example, in the Global Earth Monitor project, meteoblue develops its Open Python SDK for machine learning applications that turn satellite images into decision-ready information. In addition, meteoblue provides meteorological advice to project partners and explores new products that fit the partners' needs.
Research projects allow meteoblue to explore the potential of new products more than it could with its income from commercial operations alone. A pertinent example is the development and adaptation of standards: EU projects allow meteoblue to spend the time required to effectively participate in standardisation efforts. An example of a product developed as part of the EU projects EUXDAT and STARGATE are the meteoblue crop risk diagrams.
Last but not least, research projects help meteoblue to grow its scientific and commercial networks. Find a list of reference projects below
Current projects
ClimaPannonia
ClimaPannonia addresses the urgent need to enhance climate resilience in agriculture and rural communities across the Pannonian Biogeographical Area (PBA). The project develops, tests, and validates systemic, climate-neutral solutions across key agricultural sectors including the water–food nexus, agroforestry, organic crop production, and cattle farming, tackling climate risks such as drought, heat stress, and increasing weather variability.
A central component of ClimaPannonia is the integration of high-quality climate data to connect and align these different sectors. By providing harmonised, region-specific climate datasets and analytics, the project enables cross-sectoral modelling, risk assessment, and decision support. This climate data backbone underpins tailored adaptation strategies, digital tools, and policy recommendations, facilitating coordinated action and scalable resilience solutions throughout the Pannonian region. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101156281.
SWIM
SWIM – Sustainable Water and Integrated Management of Fish Migration and their Habitats is a large-scale transnational initiative driving the restoration of migratory fish habitats across the Danube River Basin and the north-western Black Sea region. The project tackles critical challenges such as river fragmentation, habitat degradation, and declining biodiversity by implementing innovative, sustainable, and scalable nature-based and technical solutions at multiple pilot sites.
Through actions such as improving river connectivity, restoring habitats, supporting ex-situ conservation measures, and developing digital platforms linked to existing information systems, SWIM strengthens ecological resilience and long-term ecosystem health. The project brings together public authorities, research institutions, NGOs, and local stakeholders in a coordinated effort to co-design practical, replicable solutions that benefit both biodiversity and regional communities.
Within SWIM, our contribution focuses on providing harmonised climate and environmental data to support cross-sectoral analysis, monitoring, and evidence-based decision-making across pilot activities, ensuring that restoration measures are robust under current and future climate conditions. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101215230.
BioClima
BioClima is a European research initiative focused on understanding and managing the impacts of weather and climate variability on biological systems. The project aims to identify, define, and assess weather-related and climate-related risks that affect ecosystems, agriculture, and biodiversity, developing tools and methods to support climate-informed decision-making and risk management strategies across sectors.
A key component of BioClima is the integration of diagnostic data and climate information to characterise vulnerabilities and projected changes under different climate scenarios. By combining observational data with advanced analytical techniques, the project supports improved anticipation of climate extremes and biological responses, enabling stakeholders to plan and adapt more effectively.
Within BioClima, our contribution focuses on defining and identifying weather and climate risks, providing climate datasets and analyses and help harmonise information across worked themes, strengthening the project’s ability to prioritise adaptation measures and support evidence-based resilience planning. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101181408.
DALIA - Danube Region Water Lighthouse Action
79 million European citizens live in the Danube River Basin. The Danube River is an artery of this ecosystems and has significant environmental impact across many European regions. The river plays an important economic role, supporting many small and medium enterprises, providing jobs for local people. To properly manage this complex and fragile ecosystem we must think of the river basin as a whole and harmonise our actions from the Black Forest to the Black Sea.
In the DAnube Region Water LIghthouse Action, 22 expert organisations - including universities, authorities, SMEs and NGOs - from eight different Danube EU and Associated Countries work together to address the multidisciplinary challenges of managing the Danube River and its catchments from source to sea. meteoblue contributes its weather and climate data and services together with its expertise, enabling DALIA to make a fast start and create sustainable operations. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101094070.
KijaniSpace
KijaniSpace (Swahili for "GreenSpace") is a pioneering initiative that builds on successful AU-EU (African Union-European Union) collaborations in space, IoT, climate, and agriculture. The project leverages Copernicus Earth observation data to advance climate-smart agriculture in Africa, fostering regional research and innovation. Central to this effort is the "KijaniBox" (GreenBox), a Space-IoT solution designed to integrate Copernicus data with local IoT datasets, simplifying access to tools and information tailored to regional needs.
The initiative includes two flagship programs: a Training Program to develop skills and create minimum viable products, and an Innovation Program to support small-scale innovation experiments. It will also pilot two agricultural applications—crop farming and fish farming—while actively engaging local and international stakeholders in a collaborative, multi-stakeholder framework.
Supported by a consortium of 13 partners (six European and seven African) from seven countries, KijaniSpace is piloted in the Lake Victoria basin. By integrating climate and weather data from meteoblue with local IoT inputs, the project aims to drive sustainable economic growth and green job creation in Africa and Europe through the innovative use of Copernicus data and IoT technologies. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101180225.
Past projects
STARGATE - Resilient farming by adaptive microclimate management
STARGATE's objective is the implementation of analytical models to support local and regional policy formulation and implementation related to mitigation on microclimate changes. The focus is on Climate Smart Agriculture (CSA) and extensive studies of the benefits of applying agri-environment-climate technical solutions to achieve sustainable agricultural development at landscape level. STARGATE provides innovative components for visualisation of big data with a particular emphasis on geospatial visualisation and advanced, dynamic charting. meteoblue is a project partner, providing weather data and developing climatic data analytics and data models, re-using and advancing the results obtained in the EUXDAT project (see below). (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 818187.
SmartAgriHubs - Digital transformation of the European Agrifood Sector
The project aims to realise the digitisation of European agriculture by fostering an agricultural innovation ecosystem dedicated to excellence, sustainability and success. By connecting and fostering European agriculture and IT innovation, SmartAgriHubs extends digital solutions into the agri-food sector and helps farmers and their businesses to achieve real and attainable results. meteoblue is a partner of the consortium, in the role of weather and climate data and services provider. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 818182.
GEM - Global Earth Monitor
The objective of the GEM project is to unlock the value of global earth observational data available from Copernicus. This requires a new model of data exploitation: new processes that can be run continuously (monthly, weekly, or even daily), replacing brute-force methods with smartly engineered techniques which scale up in a cost-efficient manner. GEM aims to enable economically viable continuous monitoring of the Earth, fuelled through the transition from conventional "strip mode" monitoring to "spot mode" monitoring (discovery of relevant details). In the project, meteoblue provides high-resolution weather information and crop model outputs. meteoblue will combine the project partner's machine learning expertise with its own to improve automatic crop identification. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 101004112.
EUXDAT - European e-Infrastructure for Extreme Data Analytics in Sustainable Development
EUXDAT created an e-Infrastructure that addresses agriculture, land monitoring and energy efficiency for a sustainable development, as a way to support planning policies. EUXDAT builds on existing mature components and provides an advanced frontend where users can develop applications on top of an infrastructure based on HPC and Cloud. meteoblue was the project partner being responsible for providing weather data and contributing new methods of crop climate risk analysis, monitoring and prediction by combining weather and climate data with plant growth information. (read more...)
This project has received funding from European Union's "Horizon 2020 Research and Innovation Programme" under the Grant Agreement 777549.
Innosuisse city climate
The project started in 2019 with the scientific cooperation partner ZHAW and aims to monitor air temperatures and precipitation at a very fine resolution in an urban environment. The approach was tested in two Swiss pilot cities Basel and Zurich, where more than 200 meteorological sensors were installed in each city. The measurements were used to detect heat islands within the city and monitor changes in the air temperature due to the application of climate change mitigation strategies. (read more...)