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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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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