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|Stukel, M. R., & Ducklow, H. W. (2017). Stirring Up the Biological Pump: Vertical Mixing and Carbon Export in the Southern Ocean. Global Biogeochem. Cycles, 31(9), 1420–1434.|
|Shin, D. W., Baigorria, G. A., Romero, C. C., Cocke, S., Oh, J. - H., & Kim, B. - M. (2017). Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States. J. Geophys. Res. Atmos., 122(5), 2549–2558.|
|Dukhovskoy, D. S., Bourassa, M. A., Petersen, G. N., & Steffen, J. (2017). Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometer-based wind products over the Nordic Seas and the northern North Atlantic and their application for ocean modeling. J. Geophys. Res. Oceans, 122(3), 1943–1973.|
|Savage, A. C., Arbic, B. K., Richman, J. G., Shriver, J. F., Alford, M. H., Buijsman, M. C., et al. (2017). Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies. J. Geophys. Res. Oceans, 122(3), 2519–2538.|
|Maksimova, E. V. (2017). On the observed synoptic signal in the Mississippi-Alabama slope flow. J. Geophys. Res. Oceans, 122(1), 185–192.|
Coles, V. J., Stukel, M. R., Brooks, M. T., Burd, A., Crump, B. C., Moran, M. A., et al. (2017). Ocean biogeochemistry modeled with emergent trait-based genomics. Science, 358(6367), 1149–1154.
Abstract: Marine ecosystem models have advanced to incorporate metabolic pathways discovered with genomic sequencing, but direct comparisons between models and “omics” data are lacking. We developed a model that directly simulates metagenomes and metatranscriptomes for comparison with observations. Model microbes were randomly assigned genes for specialized functions, and communities of 68 species were simulated in the Atlantic Ocean. Unfit organisms were replaced, and the model self-organized to develop community genomes and transcriptomes. Emergent communities from simulations that were initialized with different cohorts of randomly generated microbes all produced realistic vertical and horizontal ocean nutrient, genome, and transcriptome gradients. Thus, the library of gene functions available to the community, rather than the distribution of functions among specific organisms, drove community assembly and biogeochemical gradients in the model ocean.
Keywords: Atlantic Ocean; Biochemical Phenomena/genetics; Metabolic Networks and Pathways/*genetics; Metagenome; *Metagenomics; Microbial Consortia/*genetics; Models, Biological; Seawater/*microbiology; Transcriptome
|Shi, Q. (2017). Coupling ocean currents and waves with wind stress over the Gulf Stream. Ph.D. thesis, Florida State University, Tallahassee, FL.|
|Sun, S. (2017). Dynamics-based analysis of tropical waves. Ph.D. thesis, Florida State University, Tallahassee, FL.|