E3SM-Project/E3SM
Oct 2024 – Dec 2024
3 Months active
Languages Used
FortranBibTeXMarkdownNCLPython
Technical Skills
Bug FixFortran DevelopmentScientific ComputingAtmospheric PhysicsClimate ModelingCode Refactoring
xie7
PROFILE
Xie7
Contributed to the E3SM-Project/E3SM repository by developing and refining atmospheric physics modules, focusing on orographic drag schemes and chemistry output diagnostics. Applied Fortran and Python to modularize and refactor OD/GWD parameterizations, introducing a reusable development suite and expanding user documentation to improve maintainability. Addressed critical bugs in both chemistry output logging and tuning parameter initialization, ensuring accurate reaction rate reporting and reliable parameter broadcasting for gravity wave drag simulations. Integrated scientific literature and rigorous testing to validate changes, enhancing simulation fidelity and reproducibility. Emphasized code clarity, robust configuration handling, and comprehensive technical writing throughout the three-month development period.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
11Total
Bugs
2
Commits
11
Features
1
Lines of code
14,338
Activity Months3
Your Network
211 peopleSame Organization
@llnl.gov106
Shared Repositories
105
Abhishek BagusettyMember
Erin ThomasMember
Erin ThomasMember
Andrew RobertsMember
Andrew RobertsMember
Alexander HagerMember
Andrew M. BradleyMember
Andrew M. BradleyMember
Andrew NolanMember
Work History
December 2024
1 Commits
Dec 1, 2024December 2024: Delivered a critical bug fix for Oro_drag tuning parameter initialization in E3SM to ensure correct reading, broadcasting, and accessibility of tuning parameters when odor-related (od) schemes are active, improving gravity wave drag simulation fidelity and stability.
1 Commits
Dec 1, 2024December 2024: Delivered a critical bug fix for Oro_drag tuning parameter initialization in E3SM to ensure correct reading, broadcasting, and accessibility of tuning parameters when odor-related (od) schemes are active, improving gravity wave drag simulation fidelity and stability.
December 2024
November 2024
8 Commits • 1 Features
Nov 1, 2024In November 2024, delivered a consolidated programmatic development and documentation effort for the E3SM Orographic Drag (OD) work, emphasizing modularization, a reusable development suite, and enhanced user guidance across four schemes (oGWD, FBD, sGWD, TOFD). Refactored OD/GWD parameterizations into a common module, created a reusable OD development suite, and expanded documentation/User guides to improve maintainability and adoption.
November 2024
8 Commits • 1 Features
Nov 1, 2024In November 2024, delivered a consolidated programmatic development and documentation effort for the E3SM Orographic Drag (OD) work, emphasizing modularization, a reusable development suite, and enhanced user guidance across four schemes (oGWD, FBD, sGWD, TOFD). Refactored OD/GWD parameterizations into a common module, created a reusable OD development suite, and expanded documentation/User guides to improve maintainability and adoption.
October 2024
2 Commits
Oct 1, 2024October 2024: Focused on ensuring correctness of chemistry output logging in the E3SM repository. Delivered a critical bug fix to the Chemistry Output Module that correctly logs r_lch4 and r_lco_h reaction rates when history flags are enabled. The change was implemented through two commits and validated against the existing logging paths, resulting in more reliable diagnostics and improved reproducibility for chemistry analyses.
2 Commits
Oct 1, 2024October 2024: Focused on ensuring correctness of chemistry output logging in the E3SM repository. Delivered a critical bug fix to the Chemistry Output Module that correctly logs r_lch4 and r_lco_h reaction rates when history flags are enabled. The change was implemented through two commits and validated against the existing logging paths, resulting in more reliable diagnostics and improved reproducibility for chemistry analyses.
October 2024
Activity
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Quality Metrics
Correctness91.8%
Maintainability92.8%
Architecture91.0%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BibTeXFortranMarkdownNCLPython
Technical Skills
Atmospheric PhysicsBug FixClimate ModelingCode RefactoringDocumentationFortran DevelopmentFortran ProgrammingModel ConfigurationNamelist HandlingNumerical ModelingParameterizationPython ScriptingScientific ComputingScientific Literature IntegrationSoftware Design
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