Course info

The African continent presents unique challenges for atmospheric research, with significant implications for both local and global public policies. Rapid demographic growth and the expansion of megacities are contributing to deteriorating air quality, which has a direct impact on human health and agricultural productivity. Concerning greenhouse gases, efforts to reduce methane emissions from oil and gas production in African nations are complicated by increasing emissions from tropical wetlands in the face of a changing climate. Addressing these and other atmospheric chemistry issues requires accurate quantification of concentrations and sources of the relevant atmospheric species. Recent developments in satellite instrumentation and algorithms have made space-based observations an excellent tool to address these issues. Hundreds of data sets from space agencies like ESA are available online and can be used freely by users worldwide. Yet, accessing and utilizing satellite data in Africa remains challenging, making it difficult for local scientists and policymakers to fully leverage this resource. Moreover, satellite data require validation to assess their reliability. However, this is often hindered by the limited availability of accurate measurements.

The SATVA 2025 workshop will bring together scientists from Europe and Africa to discuss the validation and application of atmospheric data in Africa, with a particular focus on the TROPOMI/S5p satellite mission. The workshop aims to foster knowledge transfer and build capacity among scientists. It will feature lectures on satellite remote sensing, covering fundamental principles, validation techniques, and practical applications in the African context. Participants will also have the opportunity to explore state-of-the-art measurement concepts with both in-situ and remote sensing atmospheric instruments. The workshop will address the challenges of satellite data availability in Africa and explore how strengthening scientific capacity can enhance informed decision-making for more effective public policy.