Cloud-Powered Space Weather Physics and Modeling
Kamodo Containerized Space Weather Models
Building software and data science tools to advance Space Weather Simulation Analysis.
Our primary goal was to radically simplify the analysis and visualization pipeline for space weather models hosted at the Community Coordinated Modeling Center.
Phase 1 of Kamodo’s development was focused on developing the robustness of Kamodo’s core software and advancing its capabilities as a high-performance interpolation, visualization, and space weather modeling tool.
Our approach involved deploying a containerized dashboard and web API that simplifies the analysis, visualization, and communication of space weather models and instruments. We aimed to solve current data integration and collaboration challenges within space weather, enable compatibility between data formats and applications, and enable scientific workflows not possible with any one standard.
During Phase 1 of Kamodo’s development we developed Kamodified space weather resources using a combination of containers, a REST API, a user interface prototype. During this process, the team accomplished key technical objectives including:
Automated dashboards for scientifically relevant variables within model or data sources (Kamodofication)
Deployed REST APIs for machine-to-machine communication
Containerized solution, deployable to cloud infrastructure (AWS, Google Cloud, Azure)
Distributed access to deployed solutions transparently from workstations