Model output from N isotope global inverse model
Abstract/Contents
- Abstract
- Global inverse nitrogen isotope model in MATLAB. Nitrogen cycle tracers include PON, DON, NO3, and NO2 for 14N and 15N. Model output optimized to three different combinations of isotope effects for nitrate reduction (eNAR), nitrite oxidation (eNXR), and nitrite reduction (eNIR) is also available.
Description
Type of resource | Dataset |
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Date modified | September 2, 2022 |
Publication date | August 17, 2022 |
Creators/Contributors
Author | Martin, Taylor | https://orcid.org/0000-0002-6242-6782 (unverified) |
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Author | Primeau, Francois | https://orcid.org/0000-0001-7452-9415 (unverified) |
Author | Casciotti, Karen | https://orcid.org/0000-0002-5286-7795 (unverified) |
Subjects
Subject | Environmental sciences |
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Subject | Ocean |
Subject | model |
Subject | nitrogen isotope |
Subject | Earth System Science |
Subject | Biogeochemistry |
Subject | Nitrogen cycling |
Subject | Stable isotopes |
Subject | Chemical oceanography |
Subject | marine nitrogen cycle modeling |
Genre | Data |
Genre | Data sets |
Genre | Dataset |
Bibliographic information
Related item |
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DOI | https://doi.org/10.25740/hr045dx8661 |
Location | https://purl.stanford.edu/hr045dx8661 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an Open Data Commons Attribution License v1.0.
Preferred citation
- Preferred citation
- Martin, T., Primeau, F., and Casciotti, K. (2018). Model output from N isotope global inverse model. Stanford Digital Repository. Available at https://purl.stanford.edu/hr045dx8661. https://doi.org/10.25740/VA90-CT15
Collection
Marine Biogeochemistry Data
View other items in this collection in SearchWorksContact information
- Contact
- kcasciotti@stanford.edu
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