GAIA HazLab¶
A system-science platform for weather-compounded geohazards — bringing AI, data, and physical models together to predict what the atmosphere does to the ground.
What We Do¶
Methodologies: System-science approaches for linking atmosphere, hydrosphere, and solid Earth.
Technology:
DataHub: Centralized geospatial hazard data.
ModelHub: Machine learning models for hazard prediction.
HazEvalHub: Evaluation and validation frameworks.
Research Software: Tools for reproducible, scalable workflows.
Use Cases:
WA-2001-2031 Nisqually Earthquake (in preparation)
WA-2025 Stehekin Post-fire Debris Flow (in preparation)
Convective Thunderstorms (in preparation)
System-Science Nexus:
Soil Memory: Linking atmosphere to solid Earth.
Ocean–Atmosphere Coupling: MJO, atmospheric rivers, and extreme precipitation forcing.
How We Work¶
How We Work: Governance, decisions of record, and the metrics we publish.
People: Meet the team.
Calendar of Events¶
| Date | Event | Location |
|---|---|---|
| Thursdays 1:30pm PT | All Team Meeting | JHN375/ |
| Tuesdays 2:00pm PT | Team-Nisqually Meeting | JHN375/Online |