On the performance of a generic length scale turbulence model within an adaptive finite element ocean model. Hill, J., Piggott, M., Ham, D., Popova, E., & Srokosz, M. Ocean Modelling, 56:1–15, July, 2012. doi abstract bibtex Research into the use of unstructured mesh methods for ocean modelling has been growing steadily in the last few years. One advanta ge of using unstructured meshes is that one can concentrate resolution where it is needed. In addition, dynamic adaptive mesh optimisation (DAM O) strategies allow resolution to be concentrated when this is required. Despite the advantage that DAMO gives in terms of improving the spatia l resolution where and when required, small-scale turbulence in the oceans still requires parameterisation. A two-equation, generic length scal e (GLS) turbulence model (one equation for turbulent kinetic energy and another for a generic turbulence length-scale quantity) adds this param eterisation and can be used in conjunction with adaptive mesh techniques. In this paper, an implementation of the GLS turbulence parameterisati on is detailed in a non-hydrostatic, finite-element, unstructured mesh ocean model, Fluidity-ICOM. The implementation is validated by comparing to both a laboratory-scale experiment and real-world observations, on both fixed and adaptive meshes. The model performs well, matching labora tory and observed data, with resolution being adjusted as necessary by DAMO. Flexibility in the prognostic fields used to construct the error m etric used in DAMO is required to ensure best performance. Moreover, the adaptive mesh models perform as well as fixed mesh models in terms of root mean square error to observation or theoretical mixed layer depths, but uses fewer elements and hence has a reduced computational cost.
@ARTICLE{Hill2012-kf,
title = "{On the performance of a generic length scale turbulence model
within an adaptive finite element ocean model}",
author = "Hill, J. and Piggott, M.D. and Ham, D.A. and Popova, E.E. and
Srokosz, M.A.",
abstract = "Research into the use of unstructured mesh methods for ocean
modelling has been growing steadily in the last few years. One
advanta ge of using unstructured meshes is that one can
concentrate resolution where it is needed. In addition, dynamic
adaptive mesh optimisation (DAM O) strategies allow resolution to
be concentrated when this is required. Despite the advantage that
DAMO gives in terms of improving the spatia l resolution where
and when required, small-scale turbulence in the oceans still
requires parameterisation. A two-equation, generic length scal e
(GLS) turbulence model (one equation for turbulent kinetic energy
and another for a generic turbulence length-scale quantity) adds
this param eterisation and can be used in conjunction with
adaptive mesh techniques. In this paper, an implementation of the
GLS turbulence parameterisati on is detailed in a
non-hydrostatic, finite-element, unstructured mesh ocean model,
Fluidity-ICOM. The implementation is validated by comparing to
both a laboratory-scale experiment and real-world observations,
on both fixed and adaptive meshes. The model performs well,
matching labora tory and observed data, with resolution being
adjusted as necessary by DAMO. Flexibility in the prognostic
fields used to construct the error m etric used in DAMO is
required to ensure best performance. Moreover, the adaptive mesh
models perform as well as fixed mesh models in terms of root mean
square error to observation or theoretical mixed layer depths,
but uses fewer elements and hence has a reduced computational
cost.",
journal = "Ocean Modelling",
volume = 56,
pages = "1--15",
month = jul,
year = 2012,
keywords = "adaptive mesh,finite element,turbulence
parameterisation,unstructured mesh",
issn = "14635003",
doi = "10.1016/j.ocemod.2012.07.003"
}
Downloads: 0
{"_id":"b3AdH6Qy4WPeZgJRv","bibbaseid":"hill-piggott-ham-popova-srokosz-ontheperformanceofagenericlengthscaleturbulencemodelwithinanadaptivefiniteelementoceanmodel-2012","downloads":0,"creationDate":"2017-10-11T19:57:40.633Z","title":"On the performance of a generic length scale turbulence model within an adaptive finite element ocean model","author_short":["Hill, J.","Piggott, M.","Ham, D.","Popova, E.","Srokosz, M."],"year":2012,"bibtype":"article","biburl":"https://raw.githubusercontent.com/EnvModellingGroup/EnvModellingGroup.github.io/master/publications.bib","bibdata":{"bibtype":"article","type":"article","title":"On the performance of a generic length scale turbulence model within an adaptive finite element ocean model","author":[{"propositions":[],"lastnames":["Hill"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Piggott"],"firstnames":["M.D."],"suffixes":[]},{"propositions":[],"lastnames":["Ham"],"firstnames":["D.A."],"suffixes":[]},{"propositions":[],"lastnames":["Popova"],"firstnames":["E.E."],"suffixes":[]},{"propositions":[],"lastnames":["Srokosz"],"firstnames":["M.A."],"suffixes":[]}],"abstract":"Research into the use of unstructured mesh methods for ocean modelling has been growing steadily in the last few years. One advanta ge of using unstructured meshes is that one can concentrate resolution where it is needed. In addition, dynamic adaptive mesh optimisation (DAM O) strategies allow resolution to be concentrated when this is required. Despite the advantage that DAMO gives in terms of improving the spatia l resolution where and when required, small-scale turbulence in the oceans still requires parameterisation. A two-equation, generic length scal e (GLS) turbulence model (one equation for turbulent kinetic energy and another for a generic turbulence length-scale quantity) adds this param eterisation and can be used in conjunction with adaptive mesh techniques. In this paper, an implementation of the GLS turbulence parameterisati on is detailed in a non-hydrostatic, finite-element, unstructured mesh ocean model, Fluidity-ICOM. The implementation is validated by comparing to both a laboratory-scale experiment and real-world observations, on both fixed and adaptive meshes. The model performs well, matching labora tory and observed data, with resolution being adjusted as necessary by DAMO. Flexibility in the prognostic fields used to construct the error m etric used in DAMO is required to ensure best performance. Moreover, the adaptive mesh models perform as well as fixed mesh models in terms of root mean square error to observation or theoretical mixed layer depths, but uses fewer elements and hence has a reduced computational cost.","journal":"Ocean Modelling","volume":"56","pages":"1–15","month":"July","year":"2012","keywords":"adaptive mesh,finite element,turbulence parameterisation,unstructured mesh","issn":"14635003","doi":"10.1016/j.ocemod.2012.07.003","bibtex":"@ARTICLE{Hill2012-kf,\n title = \"{On the performance of a generic length scale turbulence model\n within an adaptive finite element ocean model}\",\n author = \"Hill, J. and Piggott, M.D. and Ham, D.A. and Popova, E.E. and\n Srokosz, M.A.\",\n abstract = \"Research into the use of unstructured mesh methods for ocean\n modelling has been growing steadily in the last few years. One\n advanta ge of using unstructured meshes is that one can\n concentrate resolution where it is needed. In addition, dynamic\n adaptive mesh optimisation (DAM O) strategies allow resolution to\n be concentrated when this is required. Despite the advantage that\n DAMO gives in terms of improving the spatia l resolution where\n and when required, small-scale turbulence in the oceans still\n requires parameterisation. A two-equation, generic length scal e\n (GLS) turbulence model (one equation for turbulent kinetic energy\n and another for a generic turbulence length-scale quantity) adds\n this param eterisation and can be used in conjunction with\n adaptive mesh techniques. In this paper, an implementation of the\n GLS turbulence parameterisati on is detailed in a\n non-hydrostatic, finite-element, unstructured mesh ocean model,\n Fluidity-ICOM. The implementation is validated by comparing to\n both a laboratory-scale experiment and real-world observations,\n on both fixed and adaptive meshes. The model performs well,\n matching labora tory and observed data, with resolution being\n adjusted as necessary by DAMO. Flexibility in the prognostic\n fields used to construct the error m etric used in DAMO is\n required to ensure best performance. Moreover, the adaptive mesh\n models perform as well as fixed mesh models in terms of root mean\n square error to observation or theoretical mixed layer depths,\n but uses fewer elements and hence has a reduced computational\n cost.\",\n journal = \"Ocean Modelling\",\n volume = 56,\n pages = \"1--15\",\n month = jul,\n year = 2012,\n keywords = \"adaptive mesh,finite element,turbulence\n parameterisation,unstructured mesh\",\n issn = \"14635003\",\n doi = \"10.1016/j.ocemod.2012.07.003\"\n}\n\n","author_short":["Hill, J.","Piggott, M.","Ham, D.","Popova, E.","Srokosz, M."],"key":"Hill2012-kf","id":"Hill2012-kf","bibbaseid":"hill-piggott-ham-popova-srokosz-ontheperformanceofagenericlengthscaleturbulencemodelwithinanadaptivefiniteelementoceanmodel-2012","role":"author","urls":{},"keyword":["adaptive mesh","finite element","turbulence parameterisation","unstructured mesh"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["performance","generic","length","scale","turbulence","model","within","adaptive","finite","element","ocean","model","hill","piggott","ham","popova","srokosz"],"keywords":["adaptive mesh","finite element","turbulence parameterisation","unstructured mesh"],"authorIDs":[],"dataSources":["Nv5ecHQpCmRvvn54s","qtTJFbwnZuqQedaqi","rtq5uXofxG8vJ42HB","3KDbmzSCa5QL7XcSq","cPHviZZbz4RyRKhNA"]}