projects:Project Details

A story of birds facing global warming


The European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organisation, both a research institute and an operational service, producing and disseminating numerical weather predictions. The overall aim of the project was to stimulate innovative ideas to show-case the potential of these data, as well as to support the development of downstream applications based on the data and associated infrastructure leading to increased visibility of the service in terms of broadening user audience and reaching out to wider communities. Ultimately, the challenge is to increase user satisfaction, enhance uptake of the ECMWF Copernicus services, and maximize their overall societal and scientific impact through a holistic, user-centered approaches.


The objective of the solution provided by Randbee is to show the applicability of ECMWF products and tools (i.e., CS3 products, and the tools provided by the CDS infrastructure) for assessing the extent and the magnitude of the impacts of global climate change on ecosystems. With this aim, as a show case, we built machine learning models predicting changes in migratory bird behaviour in relation to climate change in Europe. The models relied on two key indicators: the progression of bird migration in Europe during spring and changes in spring arrival dates over the last decades. These models were latterly implemented in an innovative, user-friendly storytelling tool showing the long-term spatial effects of climate change on bird migration across Europe. Coupled with the development of the web-based tool, we conducted dissemination activities to spread awareness and knowledge. Critical to the success of the project was active stakeholder engagement, which played a pivotal role in shaping the visual storytelling tool. Randbee conducted several meetings with stakeholders from diverse sectors such as birdwatching, ecotourism, conservation management, scientific research, and data science to deliberate on the design of the tool and indicator maps. These stakeholders contributed significantly, ranging from the selection of species to be modelled to the results and the appearance of the model, and even the indicators to be shown in the tool. Their insights significantly improved the C3S app and helped increase its outreach and user engagement, thereby fulfilling ECMWF's goal of enhancing user satisfaction and the overall impact of Copernicus services.


  • European Centre For Medium Range Weather Forecast (ECMWF)
  • Copernicus programme


AI, Climate Change, Data Visualization, Data Analysis