GCAM-CDR v1.0: enhancing the representation of carbon dioxide removal technologies and policies in an integrated assessment model
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Published:2023-02-14
Issue:3
Volume:16
Page:1105-1118
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Morrow David R.ORCID, Apeaning Raphael, Guard Garrett
Abstract
Abstract. This paper introduces GCAM-CDR 1.0, an integrated
assessment model for climate policy based on the open-source Global Change
Analysis Model (GCAM). GCAM-CDR extends GCAM v5.4 by enabling users to model
additional carbon dioxide removal (CDR) technologies and additional policies
and controls related to CDR. New CDR technologies include terrestrial
enhanced weathering with basalt, ocean liming, and additional versions of
direct air capture. New CDR policies and controls include integration of
bioenergy with carbon capture and storage (BECCS) into the CDR market,
interregional trade in CDR, exogenous control over the rate of growth of
CDR, the ability to set independent targets for emissions abatement and CDR,
and a variety of mechanisms for setting demand for CDR at the regional
and/or global level. These extensions enhance users' ability to study the
potential roles of CDR in climate policy.
Funder
Alfred P. Sloan Foundation
Publisher
Copernicus GmbH
Reference40 articles.
1. Anderson, K. and Peters, G.: The trouble with negative emissions, 354,
182–183, https://doi.org/10.1126/science.aah4567, 2016. 2. Apeaning, R., Guard, G., and Morrow, D. R.: GCAM-CDR 1.0.2, Zenodo [code],
https://doi.org/10.5281/zenodo.7261646, 2022. 3. Beerling, D. J., Kantzas, E. P., Lomas, M. R., Wade, P., Eufrasio, R. M.,
Renforth, P., Sarkar, B., Andrews, M. G., James, R. H., Pearce, C. R.,
Mercure, J.-F., Pollitt, H., Holden, P. B., Edwards, N. R., Khanna, M., Koh,
L., Quegan, S., Pidgeon, N. F., Janssens, I. A., Hansen, J., and Banwart, S.
A.: Potential for large-scale CO2 removal via enhanced rock weathering with
croplands, 583, 242–248, https://doi.org/10.1038/s41586-020-2448-9, 2020. 4. Bond-Lamberty, B., Patel, P., Lurz, J., Smith, S., abigailsnyder, pkyle,
kvcalvin, Dorheim, K. R., Link, R., mbins, skim301, S, A., Feng, L., Turner,
S. W. D., cwroney, Lynch, C., jhoring, Khan, Z., Haewon, mwisepnnl,
mollycharles, Iyer, G., Shiklomanov, A., swaldhoff, Plevin, R.,
matteomuratori, amundra, Hartin, C., and Narayan, K.: JGCRI/gcam-core: GCAM
5.4, Zenodo [code], https://doi.org/10.5281/zenodo.5093192, 2021. 5. Calvin, K., Patel, P., Clarke, L., Asrar, G., Bond-Lamberty, B., Cui, R. Y., Di Vittorio, A., Dorheim, K., Edmonds, J., Hartin, C., Hejazi, M., Horowitz, R., Iyer, G., Kyle, P., Kim, S., Link, R., McJeon, H., Smith, S. J., Snyder, A., Waldhoff, S., and Wise, M.: GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems, Geosci. Model Dev., 12, 677–698, https://doi.org/10.5194/gmd-12-677-2019, 2019.
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