Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-2057-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2057-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model experiment description paper
| 
31 May 2017
Model experiment description paper |
| 31 May 2017
Historical greenhouse gas concentrations for climate modelling (CMIP6)
Malte Meinshausen
CORRESPONDING AUTHOR
Australian-German Climate & Energy College, The University of Melbourne, Parkville, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Elisabeth Vogel
Australian-German Climate & Energy College, The University of Melbourne, Parkville, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Alexander Nauels
Australian-German Climate & Energy College, The University of Melbourne, Parkville, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Katja Lorbacher
Australian-German Climate & Energy College, The University of Melbourne, Parkville, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Nicolai Meinshausen
Seminar for Statistics, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
David M. Etheridge
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Paul J. Fraser
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Stephen A. Montzka
NOAA, Earth System Research Laboratory, Global Monitoring Division, Boulder, Colorado, USA
Peter J. Rayner
Department of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia
Cathy M. Trudinger
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Paul B. Krummel
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Urs Beyerle
Institute for Atmospheric and Climate Science, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
Josep G. Canadell
Global Carbon Project, CSIRO Oceans and Atmosphere, Canberra, ACT, Australia
John S. Daniel
NOAA, Earth System Research Laboratory, Chemical Sciences Division, Boulder, Colorado, USA
Ian G. Enting
The University of Melbourne, Victoria, Australia
retired
Rachel M. Law
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Chris R. Lunder
Norwegian Institute for Air Research, Kjeller, Norway
Simon O'Doherty
University of Bristol, Bristol, UK
Ron G. Prinn
MIT, Cambridge, Massachusetts, USA
Stefan Reimann
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution and Environmental Technology, Dübendorf, Switzerland
Mauro Rubino
CSIRO Climate Science Centre, Oceans and Atmosphere, Aspendale, Victoria, Australia
Dipartimento di matematica e fisica, Seconda Università degli studi di Napoli, Caserta, Italy
Guus J. M. Velders
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Martin K. Vollmer
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution and Environmental Technology, Dübendorf, Switzerland
Ray H. J. Wang
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Ray Weiss
Scripps Institution of Oceanography, La Jolla, California, USA
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Latest update: 06 Dec 2025
Short summary
Climate change is primarily driven by human-induced increases of greenhouse gas (GHG) concentrations. Based on ongoing community efforts (e.g. AGAGE and NOAA networks, ice cores), this study presents historical concentrations of CO2, CH4, N2O and 40 other GHGs from year 0 to year 2014. The data is recommended as input for climate models for pre-industrial, historical runs under CMIP6. Global means, but also latitudinal by monthly surface concentration fields are provided.
Climate change is primarily driven by human-induced increases of greenhouse gas (GHG)...
