ISIMIP3a atmospheric composition input data

Please note that a newer version of this DOI is available: https://doi.org/10.48364/ISIMIP.664235.2

Cite as

Matthias Büchner, Christopher Reyer (2022): ISIMIP3a atmospheric composition input data (v1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.664235.1

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.664235.1
Title:
ISIMIP3a atmospheric composition input data
Version:
1.1
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.

The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.

This dataset contains globally averaged marine surface annual mean CO₂ [ppm] and CH₄ [ppb] time series for driving climate impact model simulations within ISIMIP3a. On the basis of the ISIMIP3a simulation protocol experiments three time series are provided. (a) historical/obsclim (1850-2019), (b) counterclim (1901-2019) and (c) spinclim (1850-2019).

Version 1.1 of this datasets adds the files for CH₄.

Methods:

For the historical time series CO₂ concentrations were taken from two different sources. 1850-2005 values were extracted from Meinshausen et al. (2011) while the years 2006-2019 were filled with data from the ESRL Global Monitoring Laboratory website (Dlugokencky & Tans, 2019). The counterclim time series holds the historical 1901 value of 296.13ppm for the full period whereas splinclim has the time series fixed to the 1850 concentration of 284.73ppm. For CH₄, the 1850-2014 values were extracted from Meinshausen et al. (2017), while the 2015-2019 values were filled with data from the ESRL Global Monitoring Laboratory website (Dlugokencky & Tans, 2019).

Publication date:
Feb. 17, 2022
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset. The icons indicate the different roles of the Data Authorship Contributor Roles Taxonomy DataCRediT, which was initially developed for EnviDat.

Rights

CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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GCMD Keywords

  • EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > CARBON DIOXIDE
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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Cites

  • Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T., Lamarque, J.-F., Matsumoto, K., Montzka, S. A., Raper, S. C. B., Riahi, K., Thomson, A., Velders, G. J. M. and Vuuren, D. P. P. van: The RCP greenhouse gas concentrations and their extensions from 1765 to 2300, Climatic Change, 109(1), 213, 2011. https://doi.org/10.1007/s10584-011-0156-z
  • Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., Fraser, P. J., Montzka, S. A., Rayner, P. J., Trudinger, C. M., Krummel, P. B., Beyerle, U., Canadell, J. G., Daniel, J. S., Enting, I. G., Law, R. M., Lunder, C. R., O'Doherty, S., Prinn, R. G., Reimann, S., Rubino, M., Velders, G. J. M., Vollmer, M. K., Wang, R. H. J., and Weiss, R.: Historical greenhouse gas concentrations for climate modelling (CMIP6), Geosci. Model Dev., 10, 2057–2116, 2017 https://doi.org/10.5194/gmd-10-2057-2017

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