Vienna,
VIC
13 Apr 2026 - 24 Apr 2026
Understanding the role of National Data Centres in the CTBT verification regime;
Building and/or improving the National Data Centre capabilities;
Providing participants with sufficient knowledge for accessing and using IMS data and IDC products; and
Initiation to software tools for the analysis of IMS radionuclide data.
Vienna,
VIC
27 Apr 2026 - 29 Apr 2026
To provide PKI Operators with basic knowledge and technical understanding on Data Authentication, Data Surety, Public Key Infrastructure (PKI) concepts and terminology. The Operators will learn how to generate key pairs, how to submit certificate requests and how to retrieve and install certificates for radionuclide stations using RSSI software and for waveform stations using SSI software and Guralp DM24SxEAM and Affinity, Nanometrics Europa-T and Centaur and Kinemetrics Q330MPlus digitizers.
Agenda:
• Basic Information on Data Authentication.
• Public Key Infrastructure (PKI) Concepts and Terminology.
• Data Surety.
• PKI Portal introduction.
• Demonstration.
• Generate key pairs and submit certificate request.
• Retrieve and install certificates for:
• SSI/RSSI software
• Guralp CMG-DM24 and Affinity, Nanometrics Europa-T and Centaur and Kinemetrics Q330MPlus digitizers.
Vienna,
VIC
11 May 2026 - 13 May 2026
Objectives:
The workshop will explore advancements and innovations in the application of High-Performance Computing (HPC) & Machine Learning (ML) in monitoring nuclear explosions across land, ocean, and atmosphere utilizing technologies from the seismic, hydroacoustic, infrasound and radionuclide domains with the support of atmospheric transport modelling.
Agenda
- Full-wave SHI (seismic, infrasound, hydroacoustic) modelling in complex environments
- 3D long-range acoustic propagation modelling
- Generation and use of 3D tomographic velocity models
- Radionuclide detector-based simulations
- Numerical Weather Prediction (NWP) modelling for the atmosphere and ocean
- Simulation of explosions, cavity formation, subsurface gas transport, and prompt atmospheric releases
- Uncertainty quantification and adaptive learning
- Artificial Intelligence/Machine Learning (AI/ML) for:
- Digital twins (DTs)
- Atmospheric transport and radionuclide source localization
- Anomaly detections of atmospheric radioactivity
- Instrument failure detection and data quality assessment
- Signal and event detection, classification, discrimination, and data fusion
- Array processing
- AI tools for code translation to modern architectures and languages
- Implementation in operational settings
- Implementation to assist in IMS station maintenance
- Early applications of quantum computing in nuclear explosion monitoring
SHI HPC methods and algorithms applied to civil and scientific applications
Vienna,
VIC
17 Nov 2026 - 19 Nov 2026
The workshop is targeted at scientific experts, NDC technical staff and analysts, and prospective scholars who seek a common goal in building a capacity for scientific knowledge exchange to strengthen the Atmospheric Transport Modelling community affiliated to CTBTO’s verification regime. The workshop’s objectives are:
- Advance understanding of recent technological developments in Atmospheric Transport Modelling (ATM) and their relevance to verification technologies under the Comprehensive Nuclear-Test-Ban Treaty (CTBT).
- Strengthen expertise in uncertainty quantification (UQ) methods for ATM and radionuclide (RN) analyses to enhance confidence in ATM applications for RN-related verification assessments.
- Investigate and introduce innovative data fusion methodologies to spatially and temporally integrate seismic, hydroacoustic, infrasound (SHI), and radionuclide event data, improving event characterization across the CTBT verification system.
Topics of interest:
- Strengths, weaknesses, and future directions of different atmospheric transport models (ATMs)
- How do FLEXPART, HYSPLIT, and other models compare in terms of capabilities and limitations?
- What developments are expected in the near future?
- Scientific enhancements
- How can spatial–temporal source–receptor sensitivity be improved?
- What advances are needed in physical parameterizations?
- How should data representation be handled?
- Lagrangian versus Eulerian modeling frameworks
- Which approach is more suitable for long-range simulations, and under what conditions?
- Are backward and forward modeling truly equivalent for a given source–receptor pair in a Lagrangian framework?
- High-resolution ATM
- What strategies and configurations are most effective for supporting real-world deployments like field exercises?
- How to make hi-res ATM feasible for operational and time-critical modes?
- Uncertainty quantification
- What methodologies are best suited for ATM?
- How can ensembles be aggregated into a small set of clear, interpretable metrics or plots for expert assessments?
- How should uncertainty in general be distinctly communicated to policy makers.
- Machine learning (ML) versus physics-based models
- Could ML realistically replace physics-based models for computationally intensive tasks?
- How can we leverage ML in ATM?
- Source-term localization and background estimation
- What methods offer the greatest improvements in accuracy, robustness, and computational efficiency?
- Do species‑specific or spatio‑temporal factors call for different methodological approaches?
- Data fusion across technologies
- How can ATM data be integrated with seismic, hydroacoustic, and infrasound observations?
- Impact of network density
- What does a denser spatio-temporal detection network imply for source sensitivity and attribution accuracy?
CTBT-related contributions on additional relevant topics are welcome.
