Adapting to life: ocean biogeochemical modelling and adaptive remeshing

An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play...

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Main Authors: J. Hill, E. E. Popova, D. A. Ham, M. D. Piggott, M. Srokosz
Format: Article
Language:English
Published: Copernicus Publications 2014-05-01
Series:Ocean Science
Online Access:http://www.ocean-sci.net/10/323/2014/os-10-323-2014.pdf
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spelling doaj-f0bb614cf5d74cc3b8f30b9668964d292020-11-25T01:20:35ZengCopernicus PublicationsOcean Science1812-07841812-07922014-05-0110332334310.5194/os-10-323-2014Adapting to life: ocean biogeochemical modelling and adaptive remeshingJ. Hill0E. E. Popova1D. A. Ham2M. D. Piggott3M. Srokosz4Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, SW7 2AZ, UKNational Oceanography Centre, Southampton, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, UKApplied Mathematics and Mathematical Physics, Department of Mathematics, Imperial College London, SW7 2AZ, UKApplied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, SW7 2AZ, UKNational Oceanography Centre, Southampton, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, UKAn outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in vertical nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a simple vertical column (quasi-1-D) ocean biogeochemical model. <br><br> We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3. Unlike previous work the adaptivity metric used is flexible and we show that capturing the physical behaviour of the model is paramount to achieving a reasonable solution. Adding biological quantities to the adaptivity metric further refines the solution. We then show the potential of this method in two case studies where we change the adaptivity metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate that adaptive meshes may provide a suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high vertical resolution whilst minimising the number of elements in the mesh. More work is required to move this to fully 3-D simulations.http://www.ocean-sci.net/10/323/2014/os-10-323-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Hill
E. E. Popova
D. A. Ham
M. D. Piggott
M. Srokosz
spellingShingle J. Hill
E. E. Popova
D. A. Ham
M. D. Piggott
M. Srokosz
Adapting to life: ocean biogeochemical modelling and adaptive remeshing
Ocean Science
author_facet J. Hill
E. E. Popova
D. A. Ham
M. D. Piggott
M. Srokosz
author_sort J. Hill
title Adapting to life: ocean biogeochemical modelling and adaptive remeshing
title_short Adapting to life: ocean biogeochemical modelling and adaptive remeshing
title_full Adapting to life: ocean biogeochemical modelling and adaptive remeshing
title_fullStr Adapting to life: ocean biogeochemical modelling and adaptive remeshing
title_full_unstemmed Adapting to life: ocean biogeochemical modelling and adaptive remeshing
title_sort adapting to life: ocean biogeochemical modelling and adaptive remeshing
publisher Copernicus Publications
series Ocean Science
issn 1812-0784
1812-0792
publishDate 2014-05-01
description An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in vertical nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a simple vertical column (quasi-1-D) ocean biogeochemical model. <br><br> We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3. Unlike previous work the adaptivity metric used is flexible and we show that capturing the physical behaviour of the model is paramount to achieving a reasonable solution. Adding biological quantities to the adaptivity metric further refines the solution. We then show the potential of this method in two case studies where we change the adaptivity metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate that adaptive meshes may provide a suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high vertical resolution whilst minimising the number of elements in the mesh. More work is required to move this to fully 3-D simulations.
url http://www.ocean-sci.net/10/323/2014/os-10-323-2014.pdf
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