GoMRI
Investigating the effect of oil spills
on the environment and public health.
on the environment and public health.
Journal Articles - 2 | |
2021 | |
| Dukhovskoy, D. S., Morey, S. L., Chassignet, E. P., Chen, X., Coles, V. J., Cui, L., et al. (2021). Development of the CSOMIO Coupled Ocean-Oil-Sediment- Biology Model. Front. Mar. Sci., 8, E629299. |
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2020 | |
| Shropshire, T. A., Morey, S. L., Chassignet, E. P., Bozec, A., Coles, V. J., Landry, M. R., et al. (2020). Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical-biogeochemical model. Biogeosciences, 17(13), 3385–3407. |
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Conference Presentations - 12 | |
2020 | |
| Coles, V., Wang, J., Mason, O., & Stukel, M. (2020). Understanding how trait-based modeling (Genome-based EmergeNt Ocean Microbial Ecosystem Model) influences predictions of biogeochemical, ecological, and microbial system responses. In Ocean Sciences Meeting 2020. San Diego, CA : 02/16/20-02/21/20. |
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| Morey, S., Chassignet, E. P., Dukhovskoy, D. S., Harris, C. K., Coles, V., Stukel, M., et al. (2020). A coupled modeling system for simulating oil-biological-sediment interactions in the ocean. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020. Tampa, FL : 02/03/20-02/06/20. |
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| Morey, S. L., Chassignet, E. P., Dukhovskoy, D. S., Harris, C. K., Coles, V., Stukel, M. R., et al. (2020). A coupled modeling system for simulating oil-biological-sediment interactions in the ocean. In Ocean Sciences Meeting 2020. San Diego, CA : 02/16/20-02/21/20: Poster. |
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| Shropshire, T., Morey, S. L., Chassignet, E. P., Coles, V., Karnauskas, M., Landry, M. R., et al. (2020). Zooplankton validation in a physical-biogeochemical model with potentially valuable applications to fisheries management in the Gulf of Mexico. In Ocean Sciences Meeting 2020. San Diego, CA : 02/16/20-02/21/20: Poster. |
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| Wang, J., Coles, V., Stukel, M., & Mason, O. (2020). Rapid adaptation of the microbial community to abrupt environmental change in the Gulf of Mexico modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In Ocean Sciences Meeting 2020. San Diego, CA : 02/16/20-02/21/20. |
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2019 | |
| Morey, S. L., Chassignet, E., Dukhovskoy, D., Stukel, M., Harris, C., Hetland, R., et al. (2019). Development of a coupled modeling system for simulating oil-microbial-sediment interactions in the ocean. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019. New Orleans, LA : 02/04/19-02/07/19. |
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| Stropshire, T., Morey, S., Chassignet, E., Coles, V., Karnauskas, M., Landry, M., et al. (2019). Estimates of food limitation experienced by coastal-pelagic fish larvae in the Gulf of Mexico. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019. New Orleans, LA : 02/04/19-02/07/19: Poster. |
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| Wang, J., Coles, V., Kelly, T. B., Mason, O. U., Stropshire, T., & Stukel, M. R. (2019). Oil-Microbe interactions in the Gulf of Mexico (GoM) modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In ASLO 2019 Aquatic Sciences Meeting. San Juan, Puerto Rico : 02/23/19-03/02/19. |
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| Wang, J., Coles, V., Kelly, T. B., Mason, O. U., Stropshire, T., & Stukel, M. R. (2019). Oil-Microbe interactions in the Gulf of Mexico (GoM) modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019. New Orleans, LA : 02/04/19-02/07/19: Poster. |
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| Wang, J., Coles, V., Stukel, M., Kelly, T., & Mason, O. (2019). Rapid adaptation of the microbial community to abrupt environmental change in the Gulf of Mexico modeled with the Genome-based EmergeNt Oceand Microbial Ecosystem Model. In 2019 Ocean Carbon and Biogeochemistry (OCB) Summer Workshop. Woods Hole, MA : 06/24/19-06/27/19: Poster. |
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2018 | |
| Coles, V. (2018). Is it who you are or what you do? Evolution of metabolic function shapes ocean biogeochemistry in a gene-based model. In 2018 Ocean Carbon and Biogeochemistry Summer Workshop. Woods Hole, MA : 06/25/18-06/28/18. |
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| Coles, V., Stukel, M., Moran, M. A., & Hood, R. (2018). Metabolic function not microbial taxonomy determines ocean biogeochemical gradients in a gene based marine ecosystem model. In Ocean Sciences Meeting 2018. Portland, OR : 02/11/18-02/16/18: Poster. |
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