The Kamodo software suite is a symbolic abstraction layer that allows existing space weather resources to be maximally leveraged across unique research, operational, and educational contexts. Kamodo has the potential to significantly expand the capabilities of space weather scientists and deliver extreme value to the community of space weather modelers and practitioners inside and outside of government. Our proposed Phase II research will enhance the core Kamodo software suite and build a production-ready, intuitive, customizable dashboard and REST API connected to a library of Kamodofied scientific resource containers deployed via a scalable Kubernetes cluster. This solution will simplify the access, analysis, visualization, assimilation, and communication of space weather models and instruments in a secure, portable, and interoperable manner. Kamodo’s features include function composition, automated unit conversion, user-derived function registration, and symbolic expression manipulation, enabling physicists to easily perform complex tasks such as data-model comparisons and one-way model-coupling which would otherwise be highly labor intensive and technically challenging. This effort will design exemplary space weather workflows to showcase data-model comparisons, model coupling, and real-time interpolation and visualization techniques. The tool will enable scientists to symbolically manipulate space weather models and data using a multitude of toolkits including low-level C/C++/Fortran APIs, high-level Python and Jupyter Notebook tools and an intuitive web application with a customizable user interface.
- Space Weather Modeling - Aerospace Computational Modeling - Computational Fluid Dynamics - Astrophysics & Cosmology Modeling - Heliophysics Modeling - Satellite Orbit Modeling - Planetary Science - Flight Dynamics Modeling - Space Plasma Physics - Earth Science
- Petrophysics Flight Dynamics Modeling - Nuclear & Particle Physics - Condensed Matter Physics - Biophysics; - Atomic, Molecular & Optical Physics - Bioengineering - Chemical & Biomolecular Engineering - Civil & Environmental Engineering - Materials Science & Nanoengineering - Synthetic Biology - Climate Modeling - Nanophysics - Synthetic Organic Chemistry - Remote Sensing