The UKC2 regional coupled environmental prediction system
- Autores
- Lewis, Huw W.; Manuel Castillo Sanchez, Juan; Graham, Jennifer; Saulter, Andrew; Bornemann, Jorge; Arnold, Alex; Fallmann, Joachim; Harris, Chris; Pearson, David; Ramsdale, Steven; Martínez De La Torre, Alberto; Bricheno, Lucy; Blyth, Eleanor; Bell, Victoria A.; Davies, Helen; Marthews, Toby R.; O'Neill, Clare; Rumbold, Heather; O'Dea, Enda; Brereton, Ashley; Guihou, Karen; Hines, Adrian; Butenschon, Momme; Dadson, Simon J.; Palmer, Tamzin; Holt, Jason; Reynard, Nick; Best, Martin; Edwards, John; Siddorn, John
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed.
Fil: Lewis, Huw W.. Exeter Met Office; Reino Unido
Fil: Manuel Castillo Sanchez, Juan. Exeter Met Office; Reino Unido
Fil: Graham, Jennifer. Exeter Met Office; Reino Unido
Fil: Saulter, Andrew. Exeter Met Office; Reino Unido
Fil: Bornemann, Jorge. Exeter Met Office; Reino Unido
Fil: Arnold, Alex. Exeter Met Office; Reino Unido
Fil: Fallmann, Joachim. Exeter Met Office; Reino Unido
Fil: Harris, Chris. Exeter Met Office; Reino Unido
Fil: Pearson, David. Exeter Met Office; Reino Unido
Fil: Ramsdale, Steven. Exeter Met Office; Reino Unido
Fil: Martínez De La Torre, Alberto. Centre For Ecology & Hydrology; Reino Unido
Fil: Bricheno, Lucy. National Oceanography Centre; Reino Unido
Fil: Blyth, Eleanor. Centre For Ecology & Hydrology; Reino Unido
Fil: Bell, Victoria A.. Centre For Ecology & Hydrology; Reino Unido
Fil: Davies, Helen. Centre For Ecology & Hydrology; Reino Unido
Fil: Marthews, Toby R.. Centre For Ecology & Hydrology; Reino Unido
Fil: O'Neill, Clare. Exeter Met Office; Reino Unido
Fil: Rumbold, Heather. Exeter Met Office; Reino Unido
Fil: O'Dea, Enda. Exeter Met Office; Reino Unido
Fil: Brereton, Ashley. National Oceanography Centre; Reino Unido
Fil: Guihou, Karen. National Oceanography Centre; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hines, Adrian. Exeter Met Office; Reino Unido
Fil: Butenschon, Momme. Plymouth Marine Laboratory; Reino Unido
Fil: Dadson, Simon J.. University of Oxford; Reino Unido
Fil: Palmer, Tamzin. Exeter Met Office; Reino Unido
Fil: Holt, Jason. National Oceanography Centre; Reino Unido
Fil: Reynard, Nick. Centre For Ecology & Hydrology; Reino Unido
Fil: Best, Martin. Exeter Met Office; Reino Unido
Fil: Edwards, John. Exeter Met Office; Reino Unido
Fil: Siddorn, John. Exeter Met Office; Reino Unido - Materia
-
Modelling
Prediction - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/135307
Ver los metadatos del registro completo
id |
CONICETDig_87d7b66758c6a89b9910232eb6963d95 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/135307 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
The UKC2 regional coupled environmental prediction systemLewis, Huw W.Manuel Castillo Sanchez, JuanGraham, JenniferSaulter, AndrewBornemann, JorgeArnold, AlexFallmann, JoachimHarris, ChrisPearson, DavidRamsdale, StevenMartínez De La Torre, AlbertoBricheno, LucyBlyth, EleanorBell, Victoria A.Davies, HelenMarthews, Toby R.O'Neill, ClareRumbold, HeatherO'Dea, EndaBrereton, AshleyGuihou, KarenHines, AdrianButenschon, MommeDadson, Simon J.Palmer, TamzinHolt, JasonReynard, NickBest, MartinEdwards, JohnSiddorn, JohnModellingPredictionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed.Fil: Lewis, Huw W.. Exeter Met Office; Reino UnidoFil: Manuel Castillo Sanchez, Juan. Exeter Met Office; Reino UnidoFil: Graham, Jennifer. Exeter Met Office; Reino UnidoFil: Saulter, Andrew. Exeter Met Office; Reino UnidoFil: Bornemann, Jorge. Exeter Met Office; Reino UnidoFil: Arnold, Alex. Exeter Met Office; Reino UnidoFil: Fallmann, Joachim. Exeter Met Office; Reino UnidoFil: Harris, Chris. Exeter Met Office; Reino UnidoFil: Pearson, David. Exeter Met Office; Reino UnidoFil: Ramsdale, Steven. Exeter Met Office; Reino UnidoFil: Martínez De La Torre, Alberto. Centre For Ecology & Hydrology; Reino UnidoFil: Bricheno, Lucy. National Oceanography Centre; Reino UnidoFil: Blyth, Eleanor. Centre For Ecology & Hydrology; Reino UnidoFil: Bell, Victoria A.. Centre For Ecology & Hydrology; Reino UnidoFil: Davies, Helen. Centre For Ecology & Hydrology; Reino UnidoFil: Marthews, Toby R.. Centre For Ecology & Hydrology; Reino UnidoFil: O'Neill, Clare. Exeter Met Office; Reino UnidoFil: Rumbold, Heather. Exeter Met Office; Reino UnidoFil: O'Dea, Enda. Exeter Met Office; Reino UnidoFil: Brereton, Ashley. National Oceanography Centre; Reino UnidoFil: Guihou, Karen. National Oceanography Centre; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hines, Adrian. Exeter Met Office; Reino UnidoFil: Butenschon, Momme. Plymouth Marine Laboratory; Reino UnidoFil: Dadson, Simon J.. University of Oxford; Reino UnidoFil: Palmer, Tamzin. Exeter Met Office; Reino UnidoFil: Holt, Jason. National Oceanography Centre; Reino UnidoFil: Reynard, Nick. Centre For Ecology & Hydrology; Reino UnidoFil: Best, Martin. Exeter Met Office; Reino UnidoFil: Edwards, John. Exeter Met Office; Reino UnidoFil: Siddorn, John. Exeter Met Office; Reino UnidoCopernicus GmbH2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/135307Lewis, Huw W.; Manuel Castillo Sanchez, Juan; Graham, Jennifer; Saulter, Andrew; Bornemann, Jorge; et al.; The UKC2 regional coupled environmental prediction system; Copernicus GmbH; Geoscientific Model Development; 11; 1; 1-2018; 1-421991-9603CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.geosci-model-dev.net/11/1/2018/info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-11-1-2018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:35Zoai:ri.conicet.gov.ar:11336/135307instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:36.119CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
The UKC2 regional coupled environmental prediction system |
title |
The UKC2 regional coupled environmental prediction system |
spellingShingle |
The UKC2 regional coupled environmental prediction system Lewis, Huw W. Modelling Prediction |
title_short |
The UKC2 regional coupled environmental prediction system |
title_full |
The UKC2 regional coupled environmental prediction system |
title_fullStr |
The UKC2 regional coupled environmental prediction system |
title_full_unstemmed |
The UKC2 regional coupled environmental prediction system |
title_sort |
The UKC2 regional coupled environmental prediction system |
dc.creator.none.fl_str_mv |
Lewis, Huw W. Manuel Castillo Sanchez, Juan Graham, Jennifer Saulter, Andrew Bornemann, Jorge Arnold, Alex Fallmann, Joachim Harris, Chris Pearson, David Ramsdale, Steven Martínez De La Torre, Alberto Bricheno, Lucy Blyth, Eleanor Bell, Victoria A. Davies, Helen Marthews, Toby R. O'Neill, Clare Rumbold, Heather O'Dea, Enda Brereton, Ashley Guihou, Karen Hines, Adrian Butenschon, Momme Dadson, Simon J. Palmer, Tamzin Holt, Jason Reynard, Nick Best, Martin Edwards, John Siddorn, John |
author |
Lewis, Huw W. |
author_facet |
Lewis, Huw W. Manuel Castillo Sanchez, Juan Graham, Jennifer Saulter, Andrew Bornemann, Jorge Arnold, Alex Fallmann, Joachim Harris, Chris Pearson, David Ramsdale, Steven Martínez De La Torre, Alberto Bricheno, Lucy Blyth, Eleanor Bell, Victoria A. Davies, Helen Marthews, Toby R. O'Neill, Clare Rumbold, Heather O'Dea, Enda Brereton, Ashley Guihou, Karen Hines, Adrian Butenschon, Momme Dadson, Simon J. Palmer, Tamzin Holt, Jason Reynard, Nick Best, Martin Edwards, John Siddorn, John |
author_role |
author |
author2 |
Manuel Castillo Sanchez, Juan Graham, Jennifer Saulter, Andrew Bornemann, Jorge Arnold, Alex Fallmann, Joachim Harris, Chris Pearson, David Ramsdale, Steven Martínez De La Torre, Alberto Bricheno, Lucy Blyth, Eleanor Bell, Victoria A. Davies, Helen Marthews, Toby R. O'Neill, Clare Rumbold, Heather O'Dea, Enda Brereton, Ashley Guihou, Karen Hines, Adrian Butenschon, Momme Dadson, Simon J. Palmer, Tamzin Holt, Jason Reynard, Nick Best, Martin Edwards, John Siddorn, John |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Modelling Prediction |
topic |
Modelling Prediction |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed. Fil: Lewis, Huw W.. Exeter Met Office; Reino Unido Fil: Manuel Castillo Sanchez, Juan. Exeter Met Office; Reino Unido Fil: Graham, Jennifer. Exeter Met Office; Reino Unido Fil: Saulter, Andrew. Exeter Met Office; Reino Unido Fil: Bornemann, Jorge. Exeter Met Office; Reino Unido Fil: Arnold, Alex. Exeter Met Office; Reino Unido Fil: Fallmann, Joachim. Exeter Met Office; Reino Unido Fil: Harris, Chris. Exeter Met Office; Reino Unido Fil: Pearson, David. Exeter Met Office; Reino Unido Fil: Ramsdale, Steven. Exeter Met Office; Reino Unido Fil: Martínez De La Torre, Alberto. Centre For Ecology & Hydrology; Reino Unido Fil: Bricheno, Lucy. National Oceanography Centre; Reino Unido Fil: Blyth, Eleanor. Centre For Ecology & Hydrology; Reino Unido Fil: Bell, Victoria A.. Centre For Ecology & Hydrology; Reino Unido Fil: Davies, Helen. Centre For Ecology & Hydrology; Reino Unido Fil: Marthews, Toby R.. Centre For Ecology & Hydrology; Reino Unido Fil: O'Neill, Clare. Exeter Met Office; Reino Unido Fil: Rumbold, Heather. Exeter Met Office; Reino Unido Fil: O'Dea, Enda. Exeter Met Office; Reino Unido Fil: Brereton, Ashley. National Oceanography Centre; Reino Unido Fil: Guihou, Karen. National Oceanography Centre; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Hines, Adrian. Exeter Met Office; Reino Unido Fil: Butenschon, Momme. Plymouth Marine Laboratory; Reino Unido Fil: Dadson, Simon J.. University of Oxford; Reino Unido Fil: Palmer, Tamzin. Exeter Met Office; Reino Unido Fil: Holt, Jason. National Oceanography Centre; Reino Unido Fil: Reynard, Nick. Centre For Ecology & Hydrology; Reino Unido Fil: Best, Martin. Exeter Met Office; Reino Unido Fil: Edwards, John. Exeter Met Office; Reino Unido Fil: Siddorn, John. Exeter Met Office; Reino Unido |
description |
It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/135307 Lewis, Huw W.; Manuel Castillo Sanchez, Juan; Graham, Jennifer; Saulter, Andrew; Bornemann, Jorge; et al.; The UKC2 regional coupled environmental prediction system; Copernicus GmbH; Geoscientific Model Development; 11; 1; 1-2018; 1-42 1991-9603 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/135307 |
identifier_str_mv |
Lewis, Huw W.; Manuel Castillo Sanchez, Juan; Graham, Jennifer; Saulter, Andrew; Bornemann, Jorge; et al.; The UKC2 regional coupled environmental prediction system; Copernicus GmbH; Geoscientific Model Development; 11; 1; 1-2018; 1-42 1991-9603 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.geosci-model-dev.net/11/1/2018/ info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-11-1-2018 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Copernicus GmbH |
publisher.none.fl_str_mv |
Copernicus GmbH |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613916626255872 |
score |
13.070432 |