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U.K. Community Earth System Modeling for CMIP6
We describe the approach taken to develop the United Kingdom's first community Earth system model, UKESM1. This is a joint effort involving the Met Office and the Natural Environment Research Council (NERC), representing the U.K. academic community. We document our model development procedure a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539988/ https://www.ncbi.nlm.nih.gov/pubmed/33042388 http://dx.doi.org/10.1029/2019MS002004 |
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author | Senior, Catherine A. Jones, Colin G. Wood, Richard A. Sellar, Alistair Belcher, Stephen Klein‐Tank, Albert Sutton, Rowan Walton, Jeremy Lawrence, Bryan Andrews, Timothy Mulcahy, Jane P. |
author_facet | Senior, Catherine A. Jones, Colin G. Wood, Richard A. Sellar, Alistair Belcher, Stephen Klein‐Tank, Albert Sutton, Rowan Walton, Jeremy Lawrence, Bryan Andrews, Timothy Mulcahy, Jane P. |
author_sort | Senior, Catherine A. |
collection | PubMed |
description | We describe the approach taken to develop the United Kingdom's first community Earth system model, UKESM1. This is a joint effort involving the Met Office and the Natural Environment Research Council (NERC), representing the U.K. academic community. We document our model development procedure and the subsequent U.K. submission to CMIP6, based on a traceable hierarchy of coupled physical and Earth system models. UKESM1 builds on the well‐established, world‐leading HadGEM models of the physical climate system and incorporates cutting‐edge new representations of aerosols, atmospheric chemistry, terrestrial carbon, and nitrogen cycles and an advanced model of ocean biogeochemistry. A high‐level metric of overall performance shows that both models, HadGEM3‐GC3.1 and UKESM1, perform better than most other CMIP6 models so far submitted for a broad range of variables. We point to much more extensive evaluation performed in other papers in this special issue. The merits of not using any forced climate change simulations within our model development process are discussed. First results from HadGEM3‐GC3.1 and UKESM1 include the emergent climate sensitivity (5.5 and 5.4 K, respectively) which is high relative to the current range of CMIP5 models. The role of cloud microphysics and cloud‐aerosol interactions in driving the climate sensitivity, and the systematic approach taken to understand this role, is highlighted in other papers in this special issue. We place our findings within the broader modeling landscape indicating how our understanding of key processes driving higher sensitivity in the two U.K. models seems to align with results from a number of other CMIP6 models. |
format | Online Article Text |
id | pubmed-7539988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75399882020-10-09 U.K. Community Earth System Modeling for CMIP6 Senior, Catherine A. Jones, Colin G. Wood, Richard A. Sellar, Alistair Belcher, Stephen Klein‐Tank, Albert Sutton, Rowan Walton, Jeremy Lawrence, Bryan Andrews, Timothy Mulcahy, Jane P. J Adv Model Earth Syst Research Articles We describe the approach taken to develop the United Kingdom's first community Earth system model, UKESM1. This is a joint effort involving the Met Office and the Natural Environment Research Council (NERC), representing the U.K. academic community. We document our model development procedure and the subsequent U.K. submission to CMIP6, based on a traceable hierarchy of coupled physical and Earth system models. UKESM1 builds on the well‐established, world‐leading HadGEM models of the physical climate system and incorporates cutting‐edge new representations of aerosols, atmospheric chemistry, terrestrial carbon, and nitrogen cycles and an advanced model of ocean biogeochemistry. A high‐level metric of overall performance shows that both models, HadGEM3‐GC3.1 and UKESM1, perform better than most other CMIP6 models so far submitted for a broad range of variables. We point to much more extensive evaluation performed in other papers in this special issue. The merits of not using any forced climate change simulations within our model development process are discussed. First results from HadGEM3‐GC3.1 and UKESM1 include the emergent climate sensitivity (5.5 and 5.4 K, respectively) which is high relative to the current range of CMIP5 models. The role of cloud microphysics and cloud‐aerosol interactions in driving the climate sensitivity, and the systematic approach taken to understand this role, is highlighted in other papers in this special issue. We place our findings within the broader modeling landscape indicating how our understanding of key processes driving higher sensitivity in the two U.K. models seems to align with results from a number of other CMIP6 models. John Wiley and Sons Inc. 2020-09-21 2020-09 /pmc/articles/PMC7539988/ /pubmed/33042388 http://dx.doi.org/10.1029/2019MS002004 Text en ©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Senior, Catherine A. Jones, Colin G. Wood, Richard A. Sellar, Alistair Belcher, Stephen Klein‐Tank, Albert Sutton, Rowan Walton, Jeremy Lawrence, Bryan Andrews, Timothy Mulcahy, Jane P. U.K. Community Earth System Modeling for CMIP6 |
title | U.K. Community Earth System Modeling for CMIP6 |
title_full | U.K. Community Earth System Modeling for CMIP6 |
title_fullStr | U.K. Community Earth System Modeling for CMIP6 |
title_full_unstemmed | U.K. Community Earth System Modeling for CMIP6 |
title_short | U.K. Community Earth System Modeling for CMIP6 |
title_sort | u.k. community earth system modeling for cmip6 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539988/ https://www.ncbi.nlm.nih.gov/pubmed/33042388 http://dx.doi.org/10.1029/2019MS002004 |
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