MITgcm-contrib/ecco_darwin
Feb 2025 – Feb 2025
1 Month active
Languages Used
Fortran
Technical Skills
Biogeochemical ModelingClimate ModelingFortran ProgrammingOceanography
Hinne Florian van der Zant
PROFILE
Hinne Florian Van Der Zant
In February 2025, H. VanderZanden enhanced the MITgcm-contrib/ecco_darwin repository by developing new biogeochemical model features in Fortran, focusing on sediment nutrient fluxes and explicit plankton mortality processes. By integrating a sediment nutrient fluxes module and a kill plankton mortality module into the DARWIN framework, VanderZanden improved the model’s representation of nutrient cycling and plankton dynamics. Updates to the RADIv2 metamodel and its parameter files expanded the model’s configurability, supporting more realistic coastal and ecosystem simulations. This work demonstrated depth in biogeochemical and climate modeling, delivering a robust foundation for researchers studying oceanographic nutrient and ecosystem processes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
7,424
Activity Months1
Your Network
22 peopleSame Organization
@pfe24.nas.nasa.gov4
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for MITgcm-contrib/ecco_darwin: Delivered major biogeochemical model enhancements to the DARWIN module, including sediment nutrient fluxes, a kill plankton mortality module, and comprehensive updates to the RADIv2 metamodel and its parameter/option files. These changes improve nutrient cycling realism and plankton dynamics, enable more accurate coastal and ecosystem simulations, and expand configurable options for researchers.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for MITgcm-contrib/ecco_darwin: Delivered major biogeochemical model enhancements to the DARWIN module, including sediment nutrient fluxes, a kill plankton mortality module, and comprehensive updates to the RADIv2 metamodel and its parameter/option files. These changes improve nutrient cycling realism and plankton dynamics, enable more accurate coastal and ecosystem simulations, and expand configurable options for researchers.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
Biogeochemical ModelingClimate ModelingFortran ProgrammingOceanography
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