The following data and code repositories are made freely available. Please consult the Readme file of each repository for terms of use. If you have any questions, please contact me.
Table of contents
Evaluation of North American biospheric carbon fluxes using atmospheric CO2 measurements
- Repository: https://gitlab.com/wusun/na-carbon-flux-eval
- Publication: Sun et al. (2021) AGU Adv.
The repository contains model evaluation results as well as the Python code to make figures presented in the main text.
Field measurements of soil carbonyl sulfide fluxes
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UC Stunt Ranch Natural Reserve, Santa Monica Mountains, CA
This site features a mediterranean-type oak woodland. The field campaign ran from March to May, 2013. We measured soil fluxes of carbonyl sulfide, CO2, and water using dynamic soil chambers.
The data set is available at https://doi.org/10.15146/R3PP45. For a description of the key findings, see Sun et al. (2016) JGRB.
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Hyytiälä Forest, Finland
This site features a Scots pine forest, with mostly young stands established after 1960s. The field campaign to measure soil fluxes of carbonyl sulfide, CO, CO2, and water ran from June 2015 to November 2016, excluding winter months. The data set from 2015 has been published with Sun et al. (2018) ACP, and can be downloaded at https://doi.org/10.15146/R39P4R.
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San Joaquin Freshwater Marsh, Irvine, CA
Data coming soon.
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La Selva Biological Station, Costa Rica
Data coming soon.
Soil carbonyl sulfide flux model code (archived)
- Repository: https://github.com/wusunlab/soil-cos-model
- Publication: Sun et al. (2015) GMD
The repository contains legacy code of a model that simulates soil–atmosphere flux of carbonyl sulfide. The model solves a 1-D diffusion–reaction equation of carbonyl sulfide in the soil column. There are two implementations of the model, one in IDL (a proprietary high-level scripting language) and the other in Python 3.
Development of the model has been discontinued due to lack of funding support. However, I would be happy to help if you are interested in implementing this model in your favorite earth system models.
