Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book
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Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book
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cite-as: Garima Malhotra, Daniela Pinto Veizaga, Jorge Eduardo Peña Velasco, Rachel Furner, Oscar Bautista, and Ricardo Barros Lourenço. "Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Aug 29 ,2023. https://w3id.org/ro-id/b078ae9c-2ae3-4c10-8a86-673b55d2b274.

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Image showing spatially averaged errors from the model trained with only a 2D neighborhood of inputs
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Input MITgcm Dataset for paper: Sensitivity analysis of a data-driven model of ocean temperature (v1.1)
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A sensitivity analysis of a regression model of ocean temperature
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Input Reproducible Challenge - Team 3 - Sensitivity analysis- Models
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Ricardo Barros Lourenço
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Daniela Pinto Veizaga
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Garima Malhotra
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