Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/3801
Files in This Item:
File SizeFormat 
gmd-10-2057-2017.pdf15,91 MBAdobe PDFView/Open
Title: Historical greenhouse gas concentrations for climate modelling (CMIP6)
Authors: Meinshausen, MalteVogel, ElisabethNauels, AlexanderLorbacher, KatjaMeinshausen, NicolaiEtheridge, David M.Fraser, Paul J.Montzka, Stephen A.Rayner, Peter J.Trudinger, Cathy M.Krummel, Paul B.Beyerle, UrsCanadell, Josep G.Daniel, John S.Enting, Ian G.Law, Rachel M. LawLunder, Chris R.O'Doherty, SimonPrinn, Ron G.Reimann, StefanRubino, MauroVelders, Guus J. M.Vollmer, Martin K.Wang, Ray H. J.Weiss, Ray
Publishers Version: https://doi.org/10.5194/gmd-10-2057-2017
Issue Date: 2017
Published in: Geoscientific Model Development, Volume 10, Issue 5, Page 2057-2116
Publisher: München : European Geopyhsical Union
Abstract: 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 use the global- and annual-mean time series, modelling groups can also choose our monthly and latitudinally resolved concentrations, which imply a stronger radiative forcing in the Northern Hemisphere winter (due to the latitudinal gradient and seasonality).
Keywords: 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
DDC: 500
License: CC BY 3.0 Unported
Link to License: https://creativecommons.org/licenses/by/3.0/
Appears in Collections:Umweltwissenschaften



This item is licensed under a Creative Commons License Creative Commons