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Input, Output And Complete Run Files For The Atlantis Ecosystem Model Deepwater Horizon Oil Spill Simulations Including Fish And Invertebrate Effects, Cameron Ainsworth, Lindsey N. Dornberger
Input, Output And Complete Run Files For The Atlantis Ecosystem Model Deepwater Horizon Oil Spill Simulations Including Fish And Invertebrate Effects, Cameron Ainsworth, Lindsey N. Dornberger
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These data include input and output files from the Gulf of Mexico Atlantis model. The simulations are published in Dornberger et al., 2019. The dataset includes every file needed to recreate the simulations: 1) the 18 spatial forcing files needed to recreate the sensitivity analysis; these vary the oil sensitivity threshold K, the fish oil threshold and the invertebrate oil threshold. The file naming scheme indicates parameter values used. 2) the three .prm files needed to recreate the different levels of fishing mortality (F=0.5, 1, 2.0, 10), The F rate indicates an increase in fishing mortality across all fishing sectors …
Input, Output And Complete Run Files For The Atlantis Ecosystem Model Deepwater Horizon Oil Spill Simulations, Cameron Ainsworth
Input, Output And Complete Run Files For The Atlantis Ecosystem Model Deepwater Horizon Oil Spill Simulations, Cameron Ainsworth
C-IMAGE data
Data are complete input, output, and executable model run files for Atlantis simulations of the Deepwater Horizon oil spill. The model outputs in these folders describe simulations from 2010 to 2035; the spatial domain is the entire Gulf of Mexico. Simulations are published as Ainsworth, C.H., Paris, C.B., Perlin, N., Dornberger, L.N., Patterson, W., Chancellor, E., Murawski, S., Hollander, D., Daly, K., Romero, I.C., Coleman, F. and Perryman, H. 2018. Impacts of the Deepwater Horizon oil spill evaluated using an end-to-end ecosystem model. PLoS One, 13(1): e0190840 doi: 10.1371/journal.pone.0190840
Evaluation Of Diet Matrix Uncertainty For The Atlantis Model, Cameron Ainsworth
Evaluation Of Diet Matrix Uncertainty For The Atlantis Model, Cameron Ainsworth
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We conducted 1000 Atlantis simulations, using permutated diet matrices created by drawing from a beta distribution that represented uncertainty in predator diet. We also employed a statistical emulator which simulates the production of many more Atlantis runs than could be achieved through numerical simulation. This dataset includes 3 products: statistical emulator output, diet matrices, and Atlantis simulations. These are each contained in their own zip file.
Spatial Distributions Of Fish And Invertebrates In The Gulf Of Mexico For 2010-01-01 Estimated Using A Statistical Model, Michael Drexler
Spatial Distributions Of Fish And Invertebrates In The Gulf Of Mexico For 2010-01-01 Estimated Using A Statistical Model, Michael Drexler
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A generalized additive modelling (GAM) approach is used to describe the abundance of 40 species groups (i.e. functional groups) across the Gulf of Mexico (GoM) using a large fisheries independent data set (SEAMAP) and climate scale oceanographic conditions. Predictor variables included in the model are chlorophyll a, sediment type, dissolved oxygen, temperature, and depth. The GAM approach was shown to be robust despite zero-inflated data. article: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0064458