Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6
Preindustrial control simulations with the third Hadley Centre Global Environmental Model, run in the Global Coupled configuration 3.1 of the Met Office Unified Model (HadGEM3‐GC3.1) are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60 km in the atmosphere...
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creator | Menary, Matthew B. Kuhlbrodt, Till Ridley, Jeff Andrews, Martin B. Dimdore‐Miles, Oscar B. Deshayes, Julie Eade, Rosie Gray, Lesley Ineson, Sarah Mignot, Juliette Roberts, Christopher D. Robson, Jon Wood, Richard A. Xavier, Prince |
description | Preindustrial control simulations with the third Hadley Centre Global Environmental Model, run in the Global Coupled configuration 3.1 of the Met Office Unified Model (HadGEM3‐GC3.1) are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60 km in the atmosphere and 0.25° in the ocean, and N96ORCA1, which has a horizontal resolution of 130 km in the atmosphere and 1° in the ocean. The aim of this study is to document the climate variability in these simulations, make comparisons against present‐day observations (albeit under different forcing), and discuss differences arising due to resolution. In terms of interannual variability in the leading modes of climate variability the two resolutions behave generally very similarly. Notable differences are in the westward extent of El Niño and the pattern of Atlantic multidecadal variability, in which N216ORCA025 compares more favorably to observations, and in the Antarctic Circumpolar Current, which is far too weak in N216ORCA025. In the North Atlantic region, N216ORCA025 has a stronger and deeper Atlantic Meridional Overturning Circulation, which compares well against observations, and reduced biases in temperature and salinity in the North Atlantic subpolar gyre. These simulations are being provided to the sixth Coupled Model Intercomparison Project (CMIP6) and provide a baseline against which further forced experiments may be assessed.
Plain Language Summary
In this paper, we present the latest computer models of the joint atmosphere and ocean system. These models were developed at the U.K. Met Office Hadley Centre. They are designed to simulate the climate of the past, present, and future and to be used in scientific analysis and decision making. In this study, the are intended to simulate a continuous preindustrial state, to provide a reference level for future experiments and analysis. We present two resolutions of the same model, where the resolution is analogous to the number of pixels on, for example, a smartphone display. We find that the model with greater resolution also simulates many aspects of the global climate better than the model with lower resolution. These include El Niño, sea surface temperature variability in the Atlantic Ocean, and the depth of the AMOC in the North Atlantic. However, in other aspects, such as the strength of the major current circling Antarctica, this version is worse.
Key Points
Preindustrial control simulations for CMIP6 with HadGEM |
doi_str_mv | 10.1029/2018MS001495 |
format | Article |
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Plain Language Summary
In this paper, we present the latest computer models of the joint atmosphere and ocean system. These models were developed at the U.K. Met Office Hadley Centre. They are designed to simulate the climate of the past, present, and future and to be used in scientific analysis and decision making. In this study, the are intended to simulate a continuous preindustrial state, to provide a reference level for future experiments and analysis. We present two resolutions of the same model, where the resolution is analogous to the number of pixels on, for example, a smartphone display. We find that the model with greater resolution also simulates many aspects of the global climate better than the model with lower resolution. These include El Niño, sea surface temperature variability in the Atlantic Ocean, and the depth of the AMOC in the North Atlantic. However, in other aspects, such as the strength of the major current circling Antarctica, this version is worse.
Key Points
Preindustrial control simulations for CMIP6 with HadGEM3‐GC3.1 are presented using two model resolutions
Our evaluation focuses on interannual variability in key climate indices
The high‐resolution model shows improvements in ENSO, AMV, and in the depth structure of the AMOC. However, the ACC strength is worse</description><identifier>ISSN: 1942-2466</identifier><identifier>EISSN: 1942-2466</identifier><identifier>DOI: 10.1029/2018MS001495</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Antarctic Circumpolar Current ; Atlantic Meridional Overturning Circulation (AMOC) ; Atmosphere ; Climate ; climate modeling ; Climate models ; climate resolution ; Climate variability ; CMIP6 ; Computer models ; El Nino ; El Nino phenomena ; Environmental modeling ; ENVIRONMENTAL SCIENCES ; Geophysics ; GEOSCIENCES ; Global climate ; Interannual variability ; Intercomparison ; IPCC ; MATHEMATICS AND COMPUTING ; Ocean currents ; Oceans ; Physics ; preindustrial ; Reference levels ; Resolution ; Sciences of the Universe ; Sea surface ; Sea surface temperature ; Sea surface temperature variability ; Simulation ; Surface temperature ; Temperature variability ; Variability</subject><ispartof>Journal of advances in modeling earth systems, 2018-12, Vol.10 (12), p.3049-3075</ispartof><rights>2018 Crown copyright. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><title>Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6</title><title>Journal of advances in modeling earth systems</title><description>Preindustrial control simulations with the third Hadley Centre Global Environmental Model, run in the Global Coupled configuration 3.1 of the Met Office Unified Model (HadGEM3‐GC3.1) are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60 km in the atmosphere and 0.25° in the ocean, and N96ORCA1, which has a horizontal resolution of 130 km in the atmosphere and 1° in the ocean. The aim of this study is to document the climate variability in these simulations, make comparisons against present‐day observations (albeit under different forcing), and discuss differences arising due to resolution. In terms of interannual variability in the leading modes of climate variability the two resolutions behave generally very similarly. Notable differences are in the westward extent of El Niño and the pattern of Atlantic multidecadal variability, in which N216ORCA025 compares more favorably to observations, and in the Antarctic Circumpolar Current, which is far too weak in N216ORCA025. In the North Atlantic region, N216ORCA025 has a stronger and deeper Atlantic Meridional Overturning Circulation, which compares well against observations, and reduced biases in temperature and salinity in the North Atlantic subpolar gyre. These simulations are being provided to the sixth Coupled Model Intercomparison Project (CMIP6) and provide a baseline against which further forced experiments may be assessed.
Plain Language Summary
In this paper, we present the latest computer models of the joint atmosphere and ocean system. These models were developed at the U.K. Met Office Hadley Centre. They are designed to simulate the climate of the past, present, and future and to be used in scientific analysis and decision making. In this study, the are intended to simulate a continuous preindustrial state, to provide a reference level for future experiments and analysis. We present two resolutions of the same model, where the resolution is analogous to the number of pixels on, for example, a smartphone display. We find that the model with greater resolution also simulates many aspects of the global climate better than the model with lower resolution. These include El Niño, sea surface temperature variability in the Atlantic Ocean, and the depth of the AMOC in the North Atlantic. However, in other aspects, such as the strength of the major current circling Antarctica, this version is worse.
Key Points
Preindustrial control simulations for CMIP6 with HadGEM3‐GC3.1 are presented using two model resolutions
Our evaluation focuses on interannual variability in key climate indices
The high‐resolution model shows improvements in ENSO, AMV, and in the depth structure of the AMOC. However, the ACC strength is worse</description><subject>Antarctic Circumpolar Current</subject><subject>Atlantic Meridional Overturning Circulation (AMOC)</subject><subject>Atmosphere</subject><subject>Climate</subject><subject>climate modeling</subject><subject>Climate models</subject><subject>climate resolution</subject><subject>Climate variability</subject><subject>CMIP6</subject><subject>Computer models</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Environmental modeling</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Geophysics</subject><subject>GEOSCIENCES</subject><subject>Global climate</subject><subject>Interannual variability</subject><subject>Intercomparison</subject><subject>IPCC</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Ocean currents</subject><subject>Oceans</subject><subject>Physics</subject><subject>preindustrial</subject><subject>Reference levels</subject><subject>Resolution</subject><subject>Sciences of the Universe</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Sea surface temperature variability</subject><subject>Simulation</subject><subject>Surface temperature</subject><subject>Temperature variability</subject><subject>Variability</subject><issn>1942-2466</issn><issn>1942-2466</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>BENPR</sourceid><recordid>eNp90MFKw0AQBuAgCtbqzQcIehJsnd1NZrM3S6htpcVCCx6XdLuhW9Js3U2V3nwEn9EnMSUiPXmaYfj4Yf4guCbQJUDFAwWSTGYAJBLxSdAiIqIdGiGeHu3nwYX3awBEpHEreJw6bcrlzlfOZEWY2rJytghnZrMrssrY0oevplqFw2w56E_Y9-fXIGVdEubWhelkNMXL4CzPCq-vfmc7mD_15-mwM34ZjNLeuKOiSIiOJkgxRgUsQqGZoFonOaUig5jDQidUKC0SohY6B4w1JwlyzXMQiCoBztrBTRNrfWWkV6bSaqVsWWpVSRJjzGNWo7sGrbJCbp3ZZG4vbWbksDeWhxtQIoBH7J3U9raxW2ffdtpXcm13rqxfkJQgB8KQilrdN0o5673T-V8sAXnoXB53XnPW8A9T6P2_Vj73Jn0KXAj2A3YqfjQ</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Menary, Matthew B.</creator><creator>Kuhlbrodt, Till</creator><creator>Ridley, Jeff</creator><creator>Andrews, Martin B.</creator><creator>Dimdore‐Miles, Oscar B.</creator><creator>Deshayes, Julie</creator><creator>Eade, Rosie</creator><creator>Gray, Lesley</creator><creator>Ineson, Sarah</creator><creator>Mignot, Juliette</creator><creator>Roberts, Christopher D.</creator><creator>Robson, Jon</creator><creator>Wood, Richard A.</creator><creator>Xavier, Prince</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union</general><general>American Geophysical Union (AGU)</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>1XC</scope><scope>VOOES</scope><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-1381-384X</orcidid><orcidid>https://orcid.org/0000-0002-1462-686X</orcidid><orcidid>https://orcid.org/0000-0002-9627-2056</orcidid><orcidid>https://orcid.org/0000-0002-2612-9924</orcidid><orcidid>https://orcid.org/0000-0002-4894-898X</orcidid><orcidid>https://orcid.org/0000-0003-2328-6729</orcidid><orcidid>https://orcid.org/0000-0002-3910-5606</orcidid><orcidid>https://orcid.org/0000-0002-3960-9513</orcidid><orcidid>https://orcid.org/0000-0002-3566-4232</orcidid><orcidid>https://orcid.org/0000-0002-3467-018X</orcidid><orcidid>https://orcid.org/0000-0002-2958-6637</orcidid><orcidid>https://orcid.org/0000-0003-3145-2264</orcidid><orcidid>https://orcid.org/0000000323286729</orcidid><orcidid>https://orcid.org/0000000229586637</orcidid><orcidid>https://orcid.org/0000000226129924</orcidid><orcidid>https://orcid.org/000000023467018X</orcidid><orcidid>https://orcid.org/000000021462686X</orcidid><orcidid>https://orcid.org/0000000235664232</orcidid><orcidid>https://orcid.org/000000021381384X</orcidid><orcidid>https://orcid.org/0000000331452264</orcidid><orcidid>https://orcid.org/0000000296272056</orcidid><orcidid>https://orcid.org/0000000239105606</orcidid><orcidid>https://orcid.org/000000024894898X</orcidid><orcidid>https://orcid.org/0000000239609513</orcidid></search><sort><creationdate>201812</creationdate><title>Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6</title><author>Menary, Matthew B. ; Kuhlbrodt, Till ; Ridley, Jeff ; Andrews, Martin B. ; Dimdore‐Miles, Oscar B. ; Deshayes, Julie ; Eade, Rosie ; Gray, Lesley ; Ineson, Sarah ; Mignot, Juliette ; Roberts, Christopher D. ; Robson, Jon ; Wood, Richard A. ; Xavier, Prince</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4499-e162656c03469e392ee8f229a0570be829ce981cbef065e71867e7f0966c8073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Antarctic Circumpolar Current</topic><topic>Atlantic Meridional Overturning Circulation (AMOC)</topic><topic>Atmosphere</topic><topic>Climate</topic><topic>climate modeling</topic><topic>Climate models</topic><topic>climate resolution</topic><topic>Climate variability</topic><topic>CMIP6</topic><topic>Computer models</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>Environmental modeling</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Geophysics</topic><topic>GEOSCIENCES</topic><topic>Global climate</topic><topic>Interannual variability</topic><topic>Intercomparison</topic><topic>IPCC</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>Ocean currents</topic><topic>Oceans</topic><topic>Physics</topic><topic>preindustrial</topic><topic>Reference levels</topic><topic>Resolution</topic><topic>Sciences of the Universe</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Sea surface temperature variability</topic><topic>Simulation</topic><topic>Surface temperature</topic><topic>Temperature variability</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menary, Matthew B.</creatorcontrib><creatorcontrib>Kuhlbrodt, Till</creatorcontrib><creatorcontrib>Ridley, Jeff</creatorcontrib><creatorcontrib>Andrews, Martin B.</creatorcontrib><creatorcontrib>Dimdore‐Miles, Oscar B.</creatorcontrib><creatorcontrib>Deshayes, Julie</creatorcontrib><creatorcontrib>Eade, Rosie</creatorcontrib><creatorcontrib>Gray, Lesley</creatorcontrib><creatorcontrib>Ineson, Sarah</creatorcontrib><creatorcontrib>Mignot, Juliette</creatorcontrib><creatorcontrib>Roberts, Christopher D.</creatorcontrib><creatorcontrib>Robson, Jon</creatorcontrib><creatorcontrib>Wood, Richard A.</creatorcontrib><creatorcontrib>Xavier, Prince</creatorcontrib><creatorcontrib>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Journal of advances in modeling earth systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menary, Matthew B.</au><au>Kuhlbrodt, Till</au><au>Ridley, Jeff</au><au>Andrews, Martin B.</au><au>Dimdore‐Miles, Oscar B.</au><au>Deshayes, Julie</au><au>Eade, Rosie</au><au>Gray, Lesley</au><au>Ineson, Sarah</au><au>Mignot, Juliette</au><au>Roberts, Christopher D.</au><au>Robson, Jon</au><au>Wood, Richard A.</au><au>Xavier, Prince</au><aucorp>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6</atitle><jtitle>Journal of advances in modeling earth systems</jtitle><date>2018-12</date><risdate>2018</risdate><volume>10</volume><issue>12</issue><spage>3049</spage><epage>3075</epage><pages>3049-3075</pages><issn>1942-2466</issn><eissn>1942-2466</eissn><abstract>Preindustrial control simulations with the third Hadley Centre Global Environmental Model, run in the Global Coupled configuration 3.1 of the Met Office Unified Model (HadGEM3‐GC3.1) are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60 km in the atmosphere and 0.25° in the ocean, and N96ORCA1, which has a horizontal resolution of 130 km in the atmosphere and 1° in the ocean. The aim of this study is to document the climate variability in these simulations, make comparisons against present‐day observations (albeit under different forcing), and discuss differences arising due to resolution. In terms of interannual variability in the leading modes of climate variability the two resolutions behave generally very similarly. Notable differences are in the westward extent of El Niño and the pattern of Atlantic multidecadal variability, in which N216ORCA025 compares more favorably to observations, and in the Antarctic Circumpolar Current, which is far too weak in N216ORCA025. In the North Atlantic region, N216ORCA025 has a stronger and deeper Atlantic Meridional Overturning Circulation, which compares well against observations, and reduced biases in temperature and salinity in the North Atlantic subpolar gyre. These simulations are being provided to the sixth Coupled Model Intercomparison Project (CMIP6) and provide a baseline against which further forced experiments may be assessed.
Plain Language Summary
In this paper, we present the latest computer models of the joint atmosphere and ocean system. These models were developed at the U.K. Met Office Hadley Centre. They are designed to simulate the climate of the past, present, and future and to be used in scientific analysis and decision making. In this study, the are intended to simulate a continuous preindustrial state, to provide a reference level for future experiments and analysis. We present two resolutions of the same model, where the resolution is analogous to the number of pixels on, for example, a smartphone display. We find that the model with greater resolution also simulates many aspects of the global climate better than the model with lower resolution. These include El Niño, sea surface temperature variability in the Atlantic Ocean, and the depth of the AMOC in the North Atlantic. However, in other aspects, such as the strength of the major current circling Antarctica, this version is worse.
Key Points
Preindustrial control simulations for CMIP6 with HadGEM3‐GC3.1 are presented using two model resolutions
Our evaluation focuses on interannual variability in key climate indices
The high‐resolution model shows improvements in ENSO, AMV, and in the depth structure of the AMOC. However, the ACC strength is worse</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018MS001495</doi><tpages>27</tpages><orcidid>https://orcid.org/0000-0002-1381-384X</orcidid><orcidid>https://orcid.org/0000-0002-1462-686X</orcidid><orcidid>https://orcid.org/0000-0002-9627-2056</orcidid><orcidid>https://orcid.org/0000-0002-2612-9924</orcidid><orcidid>https://orcid.org/0000-0002-4894-898X</orcidid><orcidid>https://orcid.org/0000-0003-2328-6729</orcidid><orcidid>https://orcid.org/0000-0002-3910-5606</orcidid><orcidid>https://orcid.org/0000-0002-3960-9513</orcidid><orcidid>https://orcid.org/0000-0002-3566-4232</orcidid><orcidid>https://orcid.org/0000-0002-3467-018X</orcidid><orcidid>https://orcid.org/0000-0002-2958-6637</orcidid><orcidid>https://orcid.org/0000-0003-3145-2264</orcidid><orcidid>https://orcid.org/0000000323286729</orcidid><orcidid>https://orcid.org/0000000229586637</orcidid><orcidid>https://orcid.org/0000000226129924</orcidid><orcidid>https://orcid.org/000000023467018X</orcidid><orcidid>https://orcid.org/000000021462686X</orcidid><orcidid>https://orcid.org/0000000235664232</orcidid><orcidid>https://orcid.org/000000021381384X</orcidid><orcidid>https://orcid.org/0000000331452264</orcidid><orcidid>https://orcid.org/0000000296272056</orcidid><orcidid>https://orcid.org/0000000239105606</orcidid><orcidid>https://orcid.org/000000024894898X</orcidid><orcidid>https://orcid.org/0000000239609513</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1942-2466 |
ispartof | Journal of advances in modeling earth systems, 2018-12, Vol.10 (12), p.3049-3075 |
issn | 1942-2466 1942-2466 |
language | eng |
recordid | cdi_osti_scitechconnect_1565753 |
source | Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Antarctic Circumpolar Current Atlantic Meridional Overturning Circulation (AMOC) Atmosphere Climate climate modeling Climate models climate resolution Climate variability CMIP6 Computer models El Nino El Nino phenomena Environmental modeling ENVIRONMENTAL SCIENCES Geophysics GEOSCIENCES Global climate Interannual variability Intercomparison IPCC MATHEMATICS AND COMPUTING Ocean currents Oceans Physics preindustrial Reference levels Resolution Sciences of the Universe Sea surface Sea surface temperature Sea surface temperature variability Simulation Surface temperature Temperature variability Variability |
title | Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6 |
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