michalbrennek
New member
Dear WRF community,
Like many of you, I depend on open models and tools every day, in my case for studying extreme precipitation over the Maritime Continent. The effort behind making those workflows reproducible usually stays invisible, and this session exists to put it front and center.
Together with colleagues from seismology, ocean science, and computational science, I am convening session IN032 "Open Algorithms and Reproducible Computational Methods Across Geosciences" at the AGU 2026 Fall Meeting. WRF is named in the session description for a reason. We would love to see contributions on reproducible NWP workflows, ensembles and uncertainty quantification, physics-informed and interpretable ML, verification and benchmark cases, and the community tooling that holds it all together.
The abstract deadline is this Wednesday, 5 August. If this is not your topic, please forward this message to colleagues, students, and users. Full session description for your convenience and submission link below.
Best regards,
Michal Brennek
Institute of Geophysics, Polish Academy of Sciences
on behalf of the IN032 convener team
IN032 - Open Algorithms and Reproducible Computational Methods Across Geosciences
agu.confex.com
Modern geosciences increasingly depend on open algorithms and accessible data to advance reproducibility and cross-disciplinary collaboration. Despite growing adoption of FAIR principles and open-source tools (ObsPy, SPECFEM, WRF, eWaterCycle, NEMO, MOM6), challenges persist in developing sustainable, interoperable software across disciplines. This session invites contributions on open algorithm development and computational methods across Solid Earth, atmospheric, hydrological, and ocean sciences. We aim to connect researchers analysing observational data, resolving subsurface and fluid-dynamic structures, and tracking processes across Earth system components - whether using physics-based models, interpretable data-driven methods, or hybrid approaches. Data-driven methods with post-hoc explainability are also welcome when backed by thorough verification. We welcome studies on cross-disciplinary tool adoption, benchmark datasets, uncertainty quantification, and lessons from open science initiatives. Topics include but are not limited to: - Forward and inverse modelling - Uncertainty quantification - Interpretable and physics-informed machine learning - Data processing and visualization - Large-scale HPC implementations - Cloud-based computational platforms
Submit your abstract here: Open Algorithms and Reproducible Computational Methods Across Geosciences
Like many of you, I depend on open models and tools every day, in my case for studying extreme precipitation over the Maritime Continent. The effort behind making those workflows reproducible usually stays invisible, and this session exists to put it front and center.
Together with colleagues from seismology, ocean science, and computational science, I am convening session IN032 "Open Algorithms and Reproducible Computational Methods Across Geosciences" at the AGU 2026 Fall Meeting. WRF is named in the session description for a reason. We would love to see contributions on reproducible NWP workflows, ensembles and uncertainty quantification, physics-informed and interpretable ML, verification and benchmark cases, and the community tooling that holds it all together.
The abstract deadline is this Wednesday, 5 August. If this is not your topic, please forward this message to colleagues, students, and users. Full session description for your convenience and submission link below.
Best regards,
Michal Brennek
Institute of Geophysics, Polish Academy of Sciences
on behalf of the IN032 convener team
IN032 - Open Algorithms and Reproducible Computational Methods Across Geosciences
Open Algorithms and Reproducible Computational Methods Across Geosciences
Modern geosciences increasingly depend on open algorithms and accessible data to advance reproducibility and cross-disciplinary collaboration. Despite growing adoption of FAIR principles and open-source tools (ObsPy, SPECFEM, WRF, eWaterCycle, NEMO, MOM6), challenges persist in developing...
Modern geosciences increasingly depend on open algorithms and accessible data to advance reproducibility and cross-disciplinary collaboration. Despite growing adoption of FAIR principles and open-source tools (ObsPy, SPECFEM, WRF, eWaterCycle, NEMO, MOM6), challenges persist in developing sustainable, interoperable software across disciplines. This session invites contributions on open algorithm development and computational methods across Solid Earth, atmospheric, hydrological, and ocean sciences. We aim to connect researchers analysing observational data, resolving subsurface and fluid-dynamic structures, and tracking processes across Earth system components - whether using physics-based models, interpretable data-driven methods, or hybrid approaches. Data-driven methods with post-hoc explainability are also welcome when backed by thorough verification. We welcome studies on cross-disciplinary tool adoption, benchmark datasets, uncertainty quantification, and lessons from open science initiatives. Topics include but are not limited to: - Forward and inverse modelling - Uncertainty quantification - Interpretable and physics-informed machine learning - Data processing and visualization - Large-scale HPC implementations - Cloud-based computational platforms
Submit your abstract here: Open Algorithms and Reproducible Computational Methods Across Geosciences