Understanding our space environment is critical to protecting our economic and national interests. The current challenges of space weather modeling would be dramatically reduced by increased interoperability and compatibility between data formats and applications. Kamodo is a functional API Space Weather Models and Data product built to standardize the space weather modeling environment based on CCMC standards. Developing Kamodo further will enable, support, and perform research for next generation space science and operational space weather models. Kamodo’s architecture allows for automated units, quick look graphics, and LaTeX support for symbolic manipulation of underlying models and data sources. Kamodo leverages the power of Python’s numerous scientific packages to create compelling analysis and visualizations for scientists and educators to communicate space weather research and insights. The existing Kamodo Functional API enables scientists to work with models and data through Kamodo objects, which map symbols to interpolating functions or mathematical expressions. Kamodo will be improved through integrated user testing to eliminate unexpected bugs for all user types and improve the core source code. This includes refactoring, documenting, and automated testing for current and new features. The Kamodo web API will empower model developers and data providers to incorporate Kamodo into existing online scientific modeling resources. Kamodo will produce high fidelity scientific graphs using the python graphing libraries and interactive dashboards.
Potential NASA Applications:
- Space Weather Modeling - Aerospace Computational Modeling - Computational Fluid Dynamics - Astrophysics and Cosmology Modeling - Heliophysics Modeling - Satellite Orbit Modeling - Planetary Science - Flight Dynamics Modeling - Space Plasma Physics - Earth Science
Potential Non-NASA Applications --
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