awesome-volcano
github.com/e5k/awesome-volcano ↗Resources for research in volcanology from processes to impacts of eruptions
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me eruptive history resources from awesome-volcano"
Installation instructions →What's inside
Databases
- Active Volcanoes of JapanEruptive history
Database of active volcanoes by the
- Ash-cloud model validationModel validation
Collection of data, references, and links to data on well-documented eruptions whose observations can be used to validate ash-cloud transport models (
- CCDBEruption source parameters
Caldera collapse database (
- DomeHazHazard assessment
- EIVEImpacts
Database on the economic impacts of volcanic eruptions (
- EUROVOLCHazard assessment
Codes
- Ash3DHazard assessment
Online 3D ash dispersal model (
- AshCalcDeposit characterisation
Calculation of the volume of tephra deposits in Python (
- CareySparks86_MatlabDeposit characterisation
Matlab implementation of the Carey and Sparks (1986) model to estimate plume height from isopleth data (
- CDSAPItoolsMiscellaneous tools
Python functions to download wind and atmospheric data from ERA5 formatted to work with different models (e.g.,
- ECMapProbHazard assessment
Probability maps of PDC inundation using a modified energy cone model approach (
- Fall3dHazard assessment
3D atmospheric tephra dispersal (
Web-based platforms
- HOTVOLCMonitoring
Web-based monitoring system for volcanic hot spots using geostationary satellite data (
- MIROVAMonitoring
Near real time volcanic hotspot detection system based on mid-IR MODIS observations (
- MOUNTSMonitoring
Sentinel-based automated volcano monitoring system providing data on gas emission, thermal anomaly and deformation (
Showing a sample of 41 resources. View the full list on GitHub →