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The first edition of the DAta-driven and PHysics-iNformed E-science for atmospheric and environmental modelling (DAPHNE 2026) marks a significant step forward in the collective effort to harmonize high-performance computing, advanced data science, and the fundamental laws of physics.
Set against the historic and scientific backdrop of Naples, Italy, in conjunction with the E-Science 2026 conference, this workshop addresses the urgent need to better understand atmospheric dynamics, air quality, and the complex interactions within our climate system.
In recent years, the field has moved beyond traditional numerical simulations, entering a new era defined by a massive influx of data from satellite constellations and ground-based sensor networks. This wealth of information, paired with the rapid evolution of machine learning and scalable computing infrastructures, has triggered a fundamental paradigm shift toward hybrid modelling. These new approaches do not simply replace physical laws but rather augment them with statistical inference and artificial intelligence, resulting in unprecedented predictive accuracy and deeper scientific insights into anthropogenic impacts and environmental changes.
DAPHNE 2026 is specifically designed to explore this transition from legacy frameworks to modern, integrated eScience methodologies that prioritize the core pillars of reproducibility, scalability, and interoperability.
The workshop serves as a premier multidisciplinary forum where experts from academia, industrial sectors, and government organizations can gather to discuss emerging trends and tackle the technical challenges of the field. By bringing together researchers, practitioners, and students from diverse professional backgrounds, DAPHNE 2026 aims to foster a vibrant collaborative ecosystem dedicated to solving the most pressing atmospheric and environmental puzzles of our time through the lens of cutting-edge computational science.
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