Call For Papers

The 1st Workshop on on DAta-driven and PHysics-iNformed E-science for atmospheric and environmental modelling (DAPHNE) aims to bring together experts from academia, industry, and government organizations to discuss the latest developments in this rapidly evolving field and explore emerging trends, challenges, and opportunities within the framework of tools and applications.

The workshop is designed for researchers, practitioners, and students interested in high-performance computing, science, and interdisciplinary research. Participants from academia, industry, government labs, and nonprofit organizations are encouraged to attend and contribute to the vibrant discussions and collaborations.

We invite submissions of original research contributions, case studies, and innovative applications in the following areas (but not limited to):

• Physics-informed machine learning for atmospheric modelling

• End-to-end eScience workflows for air quality and climate-impact assessment

• Data assimilation and uncertainty quantification

• Ensemble modelling and model intercomparison

• HPC and distributed infrastructures for environmental modelling

• Integration of satellite (e.g., Copernicus) and in-situ data

• Urban-scale modelling and digital twins

• Climate–air quality–transport interactions

• Environmental decision-support systems

• Reproducible research, FAIR data, and software engineering practices in environmental and climate eScience

We encourage submissions of full papers describing original research, work-in-progress, or experience reports related to the workshop topics.

Important dates:

Paper submission: June 30
Notification of acceptance: July 15
Camera-ready: 30 July 

Workshop proceedings:

Accepted papers will be published as IEEE CPS, indexed in Scopus and WoS. 

See last year’s proceedings: https://www.computer.org/csdl/proceedings/1001511.