Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 11, issue 3
Geosci. Model Dev., 11, 1133–1160, 2018
https://doi.org/10.5194/gmd-11-1133-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 1133–1160, 2018
https://doi.org/10.5194/gmd-11-1133-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model experiment description paper 29 Mar 2018

Model experiment description paper | 29 Mar 2018

The Carbon Dioxide Removal Model Intercomparison Project (CDRMIP): rationale and experimental protocol for CMIP6

David P. Keller et al.
Related authors  
Meeting climate targets by direct CO2 injections: What price would the ocean have to pay?
Fabian Reith, Wolfgang Koeve, David P. Keller, Julia Getzlaff, and Andreas Oschlies
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2018-87,https://doi.org/10.5194/esd-2018-87, 2019
Revised manuscript accepted for ESD
Short summary
Assessing carbon dioxide removal through global and regional ocean alkalinization under high and low emission pathways
Andrew Lenton, Richard J. Matear, David P. Keller, Vivian Scott, and Naomi E. Vaughan
Earth Syst. Dynam., 9, 339–357, https://doi.org/10.5194/esd-9-339-2018,https://doi.org/10.5194/esd-9-339-2018, 2018
Short summary
Systematic Correlation Matrix Evaluation (SCoMaE) – a bottom–up, science-led approach to identifying indicators
Nadine Mengis, David P. Keller, and Andreas Oschlies
Earth Syst. Dynam., 9, 15–31, https://doi.org/10.5194/esd-9-15-2018,https://doi.org/10.5194/esd-9-15-2018, 2018
Short summary
Revisiting ocean carbon sequestration by direct injection: a global carbon budget perspective
Fabian Reith, David P. Keller, and Andreas Oschlies
Earth Syst. Dynam., 7, 797–812, https://doi.org/10.5194/esd-7-797-2016,https://doi.org/10.5194/esd-7-797-2016, 2016
A dynamic marine iron cycle module coupled to the University of Victoria Earth System Model: the Kiel Marine Biogeochemical Model 2 for UVic 2.9
L. Nickelsen, D. P. Keller, and A. Oschlies
Geosci. Model Dev., 8, 1357–1381, https://doi.org/10.5194/gmd-8-1357-2015,https://doi.org/10.5194/gmd-8-1357-2015, 2015
Short summary
Related subject area  
Climate and Earth System Modeling
Detecting causality signal in instrumental measurements and climate model simulations: global warming case study
Mikhail Y. Verbitsky, Michael E. Mann, Byron A. Steinman, and Dmitry M. Volobuev
Geosci. Model Dev., 12, 4053–4060, https://doi.org/10.5194/gmd-12-4053-2019,https://doi.org/10.5194/gmd-12-4053-2019, 2019
Short summary
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2)
Nikolay V. Koldunov, Vadym Aizinger, Natalja Rakowsky, Patrick Scholz, Dmitry Sidorenko, Sergey Danilov, and Thomas Jung
Geosci. Model Dev., 12, 3991–4012, https://doi.org/10.5194/gmd-12-3991-2019,https://doi.org/10.5194/gmd-12-3991-2019, 2019
Short summary
Developing a monthly radiative kernel for surface albedo change from satellite climatologies of Earth's shortwave radiation budget: CACK v1.0
Ryan M. Bright and Thomas L. O'Halloran
Geosci. Model Dev., 12, 3975–3990, https://doi.org/10.5194/gmd-12-3975-2019,https://doi.org/10.5194/gmd-12-3975-2019, 2019
Short summary
Toward an open access to high-frequency lake modeling and statistics data for scientists and practitioners – the case of Swiss lakes using Simstrat v2.1
Adrien Gaudard, Love Råman Vinnå, Fabian Bärenbold, Martin Schmid, and Damien Bouffard
Geosci. Model Dev., 12, 3955–3974, https://doi.org/10.5194/gmd-12-3955-2019,https://doi.org/10.5194/gmd-12-3955-2019, 2019
Short summary
Paleo calendar-effect adjustments in time-slice and transient climate-model simulations (PaleoCalAdjust v1.0): impact and strategies for data analysis
Patrick J. Bartlein and Sarah L. Shafer
Geosci. Model Dev., 12, 3889–3913, https://doi.org/10.5194/gmd-12-3889-2019,https://doi.org/10.5194/gmd-12-3889-2019, 2019
Short summary
Cited articles  
Allen, M. R., Frame, D. J., Huntingford, C., Jones, C. D., Lowe, J. A., Meinshausen, M., and Meinshausen, N.: Warming caused by cumulative carbon emissions towards the trillionth tonne, Nature, 458, 1163–1166, https://doi.org/10.1038/nature08019, 2009.
Armour, K. C., Eisenman, I., Blanchard-Wrigglesworth, E., McCusker, K. E., and Bitz, C. M.: The reversibility of sea ice loss in a state-of-the-art climate model, Geophys. Res. Lett., 38, 1–5, https://doi.org/10.1029/2011GL048739, 2011.
Arora, V. K. and Boer, G. J.: Terrestrial ecosystems response to future changes in climate and atmospheric CO2 concentration, Biogeosciences, 11, 4157–4171, https://doi.org/10.5194/bg-11-4157-2014, 2014.
Betts, R. A.: Offset of the potential carbon sink from boreal forestation by decreases in surface albedo, Nature, 409, 187–190, 2000.
Publications Copernicus
Download
Short summary
There is little consensus on the impacts and efficacy of proposed carbon dioxide removal (CDR) methods as a potential means of mitigating climate change. To address this need, the Carbon Dioxide Removal Model Intercomparison Project (or CDR-MIP) has been initiated. This project brings together models of the Earth system in a common framework to explore the potential, impacts, and challenges of CDR. Here, we describe the first set of CDR-MIP experiments.
There is little consensus on the impacts and efficacy of proposed carbon dioxide removal (CDR)...
Citation