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Science Workflows using KamodoKamodo is a powerful python software package based on data functionalization. Once a given data set is functionalized, a large variety of capabilities are easily accessible in Kamodo, including unit conversions, custom analysis via function composition, interactive publication quality visualizations, and LaTeX encoding. The entirety of capabilities available in Kamodo are easily applied to both simulated and observed data across the multiple domains of Heliophysics and even in other disciplines. This work includes a variety of science workflows using Kamodo in combination with other resources, including with other python software packages, that expand the utility of Kamodo even further. These workflows include model-data comparisons, ensemble modeling examples, satellite mission planning examples, and other applications, all of which are freely available on CCMC’s Kamodo Github page for the community to adapt to their own uses (https://github.com/nasa/Kamodo). We invite the community to use these workflows and to contribute their own to share.
Document ID
20220018821
Acquisition Source
Goddard Space Flight Center
Document Type
Poster
Authors
Rebecca Ringuette
(Adnet Systems (United States) Bethesda, Maryland, United States)
Lutz Rastaetter
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Darren DeZeeuw
(Catholic University of America Washington D.C., District of Columbia, United States)
Katherine Garcia -Sage
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Oliver Gerland
(Ensemble Government Services, LLC Hyattsville, MD)
Date Acquired
December 10, 2022
Subject Category
Space Sciences (General)
Computer Programming and Software
Report/Patent Number
SH42E-2337
Meeting Information
Meeting: AGU Fall Meeting
Location: Chicago, IL
Country: US
Start Date: December 12, 2022
End Date: December 16, 2022
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 382230.02.01.01.01.01
WBS: 382230.02.01.01.01.02
CONTRACT_GRANT: 80GSFC23CA040
CONTRACT_GRANT: 80NSSC21M0180
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
python
software
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