Historical greenhouse gas concentrations for climate modelling (CMIP6)
Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800 000 years. Those elevated GHG concentrations warm the planet and – partially offset by net cooling effects by aerosols – are largely responsible for the observed warming over the past 15...
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ftempa:oai:dora:empa_14140 2023-05-15T16:39:22+02:00 Historical greenhouse gas concentrations for climate modelling (CMIP6) Meinshausen, Malte Vogel, Elisabeth Nauels, Alexander Lorbacher, Katja Meinshausen, Nicolai Etheridge, David M. Fraser, Paul J. Montzka, Stephen A. Rayner, Peter J. Trudinger, Cathy M. Krummel, Paul B. Beyerle, Urs Canadell, Josep G. Daniel, John S. Enting, Ian G. Law, Rachel M. Lunder, Chris R. O' Doherty, Simon Prinn, Ron G. Reimann, Stefan Rubino, Mauro Velders, Guus J. M. Vollmer, Martin K. Wang, Ray H.J. Weiss, Ray 2017 https://doi.org/10.5194/gmd-10-2057-2017 eng eng Copernicus Geoscientific Model Development--Geosci. Model Dev.--journals:1147--1991-959X empa:14140 doi:10.5194/gmd-10-2057-2017 journal id: journals:1147 issn: 1991-959X ut: 000402419000002 scopus: 2-s2.0-85020214855 local: 21340 Journal Article Text 2017 ftempa https://doi.org/10.5194/gmd-10-2057-2017 2023-03-04T17:15:21Z Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800 000 years. Those elevated GHG concentrations warm the planet and – partially offset by net cooling effects by aerosols – are largely responsible for the observed warming over the past 150 years. An accurate representation of GHG concentrations is hence important to understand and model recent climate change. So far, community efforts to create composite datasets of GHG concentrations with seasonal and latitudinal information have focused on marine boundary layer conditions and recent trends since the 1980s. Here, we provide consolidated datasets of historical atmospheric concentrations (mole fractions) of 43 GHGs to be used in the Climate Model Intercomparison Project – Phase 6 (CMIP6) experiments. The presented datasets are based on AGAGE and NOAA networks, firn and ice core data, and archived air data, and a large set of published studies. In contrast to previous intercomparisons, the new datasets are latitudinally resolved and include seasonality. We focus on the period 1850–2014 for historical CMIP6 runs, but data are also provided for the last 2000 years. We provide consolidated datasets in various spatiotemporal resolutions for carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O), as well as 40 other GHGs, namely 17 ozone-depleting substances, 11 hydrofluorocarbons (HFCs), 9 perfluorocarbons (PFCs), sulfur hexafluoride (SF 6 ), nitrogen trifluoride (NF 3 ) and sulfuryl fluoride (SO 2 F 2 ). In addition, we provide three equivalence species that aggregate concentrations of GHGs other than CO 2 , CH 4 and N 2 O, weighted by their radiative forcing efficiencies. For the year 1850, which is used for pre-industrial control runs, we estimate annual global-mean surface concentrations of CO 2 at 284.3 ppm, CH 4 at 808.2 ppb and N 2 O at 273.0 ppb. The data are available at https://esgf-node.llnl.gov/search/input4mips/ and http://www.climatecollege.unimelb.edu.au/cmip6. While the minimum ... Article in Journal/Newspaper ice core DORA Empa Geoscientific Model Development 10 5 2057 2116 |
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DORA Empa |
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ftempa |
language |
English |
description |
Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800 000 years. Those elevated GHG concentrations warm the planet and – partially offset by net cooling effects by aerosols – are largely responsible for the observed warming over the past 150 years. An accurate representation of GHG concentrations is hence important to understand and model recent climate change. So far, community efforts to create composite datasets of GHG concentrations with seasonal and latitudinal information have focused on marine boundary layer conditions and recent trends since the 1980s. Here, we provide consolidated datasets of historical atmospheric concentrations (mole fractions) of 43 GHGs to be used in the Climate Model Intercomparison Project – Phase 6 (CMIP6) experiments. The presented datasets are based on AGAGE and NOAA networks, firn and ice core data, and archived air data, and a large set of published studies. In contrast to previous intercomparisons, the new datasets are latitudinally resolved and include seasonality. We focus on the period 1850–2014 for historical CMIP6 runs, but data are also provided for the last 2000 years. We provide consolidated datasets in various spatiotemporal resolutions for carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O), as well as 40 other GHGs, namely 17 ozone-depleting substances, 11 hydrofluorocarbons (HFCs), 9 perfluorocarbons (PFCs), sulfur hexafluoride (SF 6 ), nitrogen trifluoride (NF 3 ) and sulfuryl fluoride (SO 2 F 2 ). In addition, we provide three equivalence species that aggregate concentrations of GHGs other than CO 2 , CH 4 and N 2 O, weighted by their radiative forcing efficiencies. For the year 1850, which is used for pre-industrial control runs, we estimate annual global-mean surface concentrations of CO 2 at 284.3 ppm, CH 4 at 808.2 ppb and N 2 O at 273.0 ppb. The data are available at https://esgf-node.llnl.gov/search/input4mips/ and http://www.climatecollege.unimelb.edu.au/cmip6. While the minimum ... |
format |
Article in Journal/Newspaper |
author |
Meinshausen, Malte Vogel, Elisabeth Nauels, Alexander Lorbacher, Katja Meinshausen, Nicolai Etheridge, David M. Fraser, Paul J. Montzka, Stephen A. Rayner, Peter J. Trudinger, Cathy M. Krummel, Paul B. Beyerle, Urs Canadell, Josep G. Daniel, John S. Enting, Ian G. Law, Rachel M. Lunder, Chris R. O' Doherty, Simon Prinn, Ron G. Reimann, Stefan Rubino, Mauro Velders, Guus J. M. Vollmer, Martin K. Wang, Ray H.J. Weiss, Ray |
spellingShingle |
Meinshausen, Malte Vogel, Elisabeth Nauels, Alexander Lorbacher, Katja Meinshausen, Nicolai Etheridge, David M. Fraser, Paul J. Montzka, Stephen A. Rayner, Peter J. Trudinger, Cathy M. Krummel, Paul B. Beyerle, Urs Canadell, Josep G. Daniel, John S. Enting, Ian G. Law, Rachel M. Lunder, Chris R. O' Doherty, Simon Prinn, Ron G. Reimann, Stefan Rubino, Mauro Velders, Guus J. M. Vollmer, Martin K. Wang, Ray H.J. Weiss, Ray Historical greenhouse gas concentrations for climate modelling (CMIP6) |
author_facet |
Meinshausen, Malte Vogel, Elisabeth Nauels, Alexander Lorbacher, Katja Meinshausen, Nicolai Etheridge, David M. Fraser, Paul J. Montzka, Stephen A. Rayner, Peter J. Trudinger, Cathy M. Krummel, Paul B. Beyerle, Urs Canadell, Josep G. Daniel, John S. Enting, Ian G. Law, Rachel M. Lunder, Chris R. O' Doherty, Simon Prinn, Ron G. Reimann, Stefan Rubino, Mauro Velders, Guus J. M. Vollmer, Martin K. Wang, Ray H.J. Weiss, Ray |
author_sort |
Meinshausen, Malte |
title |
Historical greenhouse gas concentrations for climate modelling (CMIP6) |
title_short |
Historical greenhouse gas concentrations for climate modelling (CMIP6) |
title_full |
Historical greenhouse gas concentrations for climate modelling (CMIP6) |
title_fullStr |
Historical greenhouse gas concentrations for climate modelling (CMIP6) |
title_full_unstemmed |
Historical greenhouse gas concentrations for climate modelling (CMIP6) |
title_sort |
historical greenhouse gas concentrations for climate modelling (cmip6) |
publisher |
Copernicus |
publishDate |
2017 |
url |
https://doi.org/10.5194/gmd-10-2057-2017 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
Geoscientific Model Development--Geosci. Model Dev.--journals:1147--1991-959X empa:14140 doi:10.5194/gmd-10-2057-2017 journal id: journals:1147 issn: 1991-959X ut: 000402419000002 scopus: 2-s2.0-85020214855 local: 21340 |
op_doi |
https://doi.org/10.5194/gmd-10-2057-2017 |
container_title |
Geoscientific Model Development |
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10 |
container_issue |
5 |
container_start_page |
2057 |
op_container_end_page |
2116 |
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1766029714527354880 |