(SCIENTIFIC SOFTWARE DEVELOPER)
| Email: | maya.b.levisohn@nasa.gov |
| Org Code: | 674 |
| Address: |
NASA/GSFC Mail Code 674 Greenbelt, MD 20771 |
| Employer: | TELOPHASE CORP |
Maya Levisohn is a scientific software developer at the Community Coordinated Modeling Center (CCMC) at NASA GSFC. She is a full-stack software engineer working on the CCMC’s CAMEL framework for the validation and visualization of space weather models. She is a proud alumna of the NASA SARP internship program and holds B.S. degrees in applied mathematics and computer science from Brandeis University.
Space Weather
CCMC - NASA GSFC
October 2023 - Present
NSRC - NASA AFRC
June 2022 - August 2022
B.S. in Computer Science and Applied Mathematics from Brandeis University.
European Space Weather Week: Expanding Validation Capabilities for Geomagnetically Induced Current (GIC) Models
December 2024
The Comprehensive Assessment of Models and Events using Library Tools (CAMEL) framework developed by the Community Coordinated Modeling Center (CCMC) at NASA Goddard Space Flight Center (GSFC) is an integrated and flexible framework allowing users to seamlessly compare space weather and space science model outputs with observational data sets. The front-end interactive portion of the framework, the CAMEL Web App, provides visualization tools and calculates skill scores for each validation campaign included in the CAMEL data repository. Along with recent user experience updates to the web application, new data on ground magnetic perturbations have been added to the database and expanded visualization capabilities. These new data are essential to discovering how well models analyze the regional or even local predictions of the geomatics environment related to geomagnetically induced current (GIC). Moreover, multiple validation studies and papers have been published discussing the importance of better understanding GIC. This specific new ground magnetic perturbation study in CAMEL draws data from SuperMAG, a library of global magnetic field observations hosted by Johns Hopkins University Applied Physics Laboratory (APL), and the Space Weather Modeling Framework (SWMF), a model hosted by the CCMC Runs-On-Request (ROR) and integrated Space Weather Analysis (iSWA) tools. The new validation campaign builds upon what was done in Pulkkinen et al. [2013] by including additional models and model settings, an expanded list of storm time periods, a new strategic station selection tool, and expanded skill scores and metrics. These new capabilities allow users to better understand, visualize, and share the results of the ground magnetic perturbations studies.
CCMC Comprehensive Assessment of Models and Events using Library Tools (CAMEL) for Geospace Environment Modeling Challenges
July 2024
The Comprehensive Assessment of Models and Events using Library Tools (CAMEL) framework developed by the Community Coordinated Modeling Center (CCMC) is an integrated and flexible framework allowing users to seamlessly compare space weather and space science model outputs with observational data sets. The recent and ongoing updates to CAMEL include the incorporation of new datasets and an improved user experience with the front-end interactive visualization tool (CAMEL Web App). As part of the Open Science initiative, CAMEL data and source code are publicly available online and as with many projects, the CCMC encourages feedback and submission of new data sources.