Historical greenhouse gas concentrations for climate modelling (CMIP6)
Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800000 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...
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München : European Geopyhsical Union
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Online Access: | https://doi.org/10.34657/292 https://oa.tib.eu/renate/handle/123456789/3801 |
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ftleibnizopen:oai:oai.leibnizopen.de:ZdJEfYoBNQPDO7WIsIyE 2023-10-09T21:52:21+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. Law 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 application/pdf https://doi.org/10.34657/292 https://oa.tib.eu/renate/handle/123456789/3801 eng eng München : European Geopyhsical Union CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Geoscientific Model Development, Volume 10, Issue 5, Page 2057-2116 Accuracy assessment aerosol boundary layer carbon dioxide climate effect climate modeling climate variation CMIP concentration (composition) experimental study greenhouse gas ice core latitudinal gradient methane nitrous oxide Northern Hemisphere radiative forcing spatiotemporal analysis 500 article Text 2017 ftleibnizopen https://doi.org/10.34657/292 2023-09-10T23:36:09Z Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800000 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 (CO2), methane (CH4) and nitrous oxide (N2O), as well as 40 other GHGs, namely 17 ozone-depleting substances, 11 hydrofluorocarbons (HFCs), 9 perfluorocarbons (PFCs), sulfur hexafluoride (SF6), nitrogen trifluoride (NF3) and sulfuryl fluoride (SO2F2). In addition, we provide three equivalence species that aggregate concentrations of GHGs other than CO2, CH4 and N2O, 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 CO2 at 284.3ppm, CH4 at 808.2ppb and N2O at 273.0ppb. The data are available at https://esgf-node.llnl.gov/search/input4mips/ and http://www.climatecollege.unimelb.edu.au/cmip6. While the minimum CMIP6 recommendation is to ... Article in Journal/Newspaper ice core LeibnizOpen (The Leibniz Association) |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
Accuracy assessment aerosol boundary layer carbon dioxide climate effect climate modeling climate variation CMIP concentration (composition) experimental study greenhouse gas ice core latitudinal gradient methane nitrous oxide Northern Hemisphere radiative forcing spatiotemporal analysis 500 |
spellingShingle |
Accuracy assessment aerosol boundary layer carbon dioxide climate effect climate modeling climate variation CMIP concentration (composition) experimental study greenhouse gas ice core latitudinal gradient methane nitrous oxide Northern Hemisphere radiative forcing spatiotemporal analysis 500 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. Law 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) |
topic_facet |
Accuracy assessment aerosol boundary layer carbon dioxide climate effect climate modeling climate variation CMIP concentration (composition) experimental study greenhouse gas ice core latitudinal gradient methane nitrous oxide Northern Hemisphere radiative forcing spatiotemporal analysis 500 |
description |
Atmospheric greenhouse gas (GHG) concentrations are at unprecedented, record-high levels compared to the last 800000 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 (CO2), methane (CH4) and nitrous oxide (N2O), as well as 40 other GHGs, namely 17 ozone-depleting substances, 11 hydrofluorocarbons (HFCs), 9 perfluorocarbons (PFCs), sulfur hexafluoride (SF6), nitrogen trifluoride (NF3) and sulfuryl fluoride (SO2F2). In addition, we provide three equivalence species that aggregate concentrations of GHGs other than CO2, CH4 and N2O, 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 CO2 at 284.3ppm, CH4 at 808.2ppb and N2O at 273.0ppb. The data are available at https://esgf-node.llnl.gov/search/input4mips/ and http://www.climatecollege.unimelb.edu.au/cmip6. While the minimum CMIP6 recommendation is to ... |
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. Law 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_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. Law 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 |
München : European Geopyhsical Union |
publishDate |
2017 |
url |
https://doi.org/10.34657/292 https://oa.tib.eu/renate/handle/123456789/3801 |
genre |
ice core |
genre_facet |
ice core |
op_source |
Geoscientific Model Development, Volume 10, Issue 5, Page 2057-2116 |
op_rights |
CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.34657/292 |
_version_ |
1779315498297589760 |