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Table of Contents


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Summary

Climate Science Papers that outlines how to calculate Carbon Removal targets from total Anthropogenic emitted Carbon.

Owner

Shannon A. Fiume

Status

Status
colourYellow
titlein PROCESS, has Minimal funding



Status

Collaboration with Foundation for Climate Restoration on a brief using MAGICC 6.8 is in progress. Experiments to test 300 ppm, then to 280 ppm, and calibrating MAGICC 6.8 for removal is in progress. Seeking additional funding for a full detailed paper.

The full experimental paper is on hold until the experiments can be rerun on a full CDRMIP Atmosphere-Ocean General Circulation Model. Once the experiments are run on a full AOGCM the results will more accurately (compared to a Reduced-complexity Model such as MAGICC 6.8) show if the hypothesis of halting anthropogenic emissions from all greenhouse gasses and additionally remove cumulative anthropogenic carbon dioxide, would restore the climate to that existed at 1800 with a CO₂ concentration of about 280 ppm.

Note, a brief commentary on Reduced Complexity Model results may have limited impact as the experiments would need to be repeated on a cluster running the full AOGCM to better project the impact of strong feedbacks.

Papers

Theory paper

Presented version: Targeting All Anthropogenic Carbon Dioxide Emissions

Revised version: Alternative Method to Determine a Carbon Dioxide Removal Target (2018)

https://doi.org/10.1002/essoar.10503117.1

Authors: Shannon A. Fiume

Short paper outlining how much carbon we need to solidify for complete climate restoration and the carbon's location. Shows why 300 ppm and less needs to be fully explored for complete climate restoration.

Experimental Validation Paper

Working draft title 'Modeling of large-scale CDR Scenarios'.

Experimental validation of Targeting All Anthropogenic Carbon Dioxide Emissions with MAGICC 6, and pymagicc.

Authors: Shannon A. Fiume

Abstract

The experiments explore the effects of halting anthropogenic emissions from all greenhouse gasses and additionally removing cumulative anthropogenic carbon dioxide in less than 100 years. Two pairs of idealized greenhouse gas emissions modeling experiments were completed in MAGICC 6.801, a Reduced Complexity Model. The experiment pair explores the difference between exponential removal and linear removal for both a forty- and eighty-year time frame. Results were graphed, extending to 2500, showing a converging temperature, greenhouse concentration, and warming. The Reduced Complexity climate model, when all greenhouse gas emissions were halted, and cumulative anthropogenic carbon dioxide was removed, excluding ammonia under .1ºC of warming was realized.

Results Summary

The experiments removed all anthropogenic carbon dioxide and

2021 Results

Current results in pymagicc/MAGICC 6.8: https://github.com/hsbay/cdrmex, https://github.com/hsbay/cdrmex/blob/main/ONCtests.ipynb

2018 Results

The experiments removed all anthropogenic carbon dioxide and forced all other GHGs to zero, excluding ammonia, which resulted in under .1ºC of warming.

Graphs of Experiment Scenarios

CO₂ ppm

CO₂-eq ppm

CO₂ RF W/m²

Total Anthro RF W/m²

Global Temp ºC

Maximum Exponential Decline CDR Scenario (emax)

278.4

277.4

0.0268

-0.0244

0.0771

Maximum Linear Decline CDR Scenario (lmax)

278.9

277.8

0.037

-0.0171

0.0825

Minimum Exponential Decline CDR Scenario (emin)

273.6

275.3

-0.0655

-0.0653

0.0546

Minimum Linear Decline CDR Scenario (lmin)

275.9

276.4

-0.0206

-0.0424

0.0719

Mean

276.7

276.7

-0.0056

-0.0373

0.0715

Std dev

1.9

0.9

0.0375

0.0166

0.0085

Pymagicc output: Shows SSP-1 1.9 in orange. The graphing artifacts for SSP 1 1.9 are due to errors in the dataset from bugs in pymagicc and ipcc explorer data output. The raw MAGICC output is also shown in the links to the Graphs of Experiment Scenarios above.

Image Removed

Data Area


2018 Data

CSV of control files (Also see the SCENemax, SCENlmax, etc. tabs in Total Emitted Carbon Graphs and Comparisons gsheets)

SCEN Control files

2021 Code

Area

Repository

CDR Modeling Experiment Github repository: https://github.com/hsbay/cdrmex

Dependencies

  • wine - Wine Is Not an Emulator, emulation software for running Windows programs on Linux and Unixes including MacOS
  • pymagicc

Pymagicc will install the following:

MAGICC 6.801

jupyter

Code to translate CSVs and display scenarios are forthcoming.

SSP Database, International Institute for Applied Systems Analysis: https://tntcat.iiasa.ac.at/SspDb, About page

Bugs


Reference Papers

Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration, Meinshausen, M., Raper, S. C. B., and Wigley, T. M. L., Atmos. Chem. Phys., 11, 1417-1456, DOI: 10.5194/acp-11-1417-2011, 2011

Emulating atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 2: Applications, Meinshausen, M., Wigley, T. M. L., and Raper, S. C. B., Atmos. Chem. Phys.,11, 1457–1471, DOI: 10.5194/acp-11-1457-2011, 2011

Global Carbon Budget 2017, Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Pongratz, J., Manning, A. C., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Jackson, R. B., Boden, T. A., Tans, P. P., Andrews, O. D., Arora, V. K., Bakker, D. C. E., Barbero, L., Becker, M., Betts, R. A., Bopp, L., Chevallier, F., Chini, L. P., Ciais, P., Cosca, C. E., Cross, J., Currie, K., Gasser, T., Harris, I., Hauck, J., Haverd, V., Houghton, R. A., Hunt, C. W., Hurtt, G., Ilyina, T., Jain, A. K., Kato, E., Kautz, M., Keeling, R. F., Klein Goldewijk, K., Körtzinger, A., Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lima, I., Lombardozzi, D., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R., Nabel, J. E. M. S., Nakaoka, S.-I., Nojiri, Y., Padin, X. A., Peregon, A., Pfeil, B., Pierrot, D., Poulter, B., Rehder, G., Reimer, J., Rödenbeck, C., Schwinger, J., Séférian, R., Skjelvan, I., Stocker, B. D., Tian, H., Tilbrook, B., Tubiello, F. N., van der Laan-Luijkx, I. T., van der Werf, G. R., van Heuven, S., Viovy, N., Vuichard, N., Walker, A. P., Watson, A. J., Wiltshire, A. J., Zaehle, S., and Zhu, D., Earth System Science Data, 10, pp. 405-448, DOI: 10.5194/essd-10-405-2018, 2018

The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Keywan Riahi, Detlef P. van Vuuren, Elmar Kriegler, Jae Edmonds, Brian C. O’Neill, Shinichiro Fujimori, Nico Bauer, Katherine Calvin, Rob Dellink, Oliver Fricko, Wolfgang Lutz, Alexander Popp, Jesus Crespo Cuaresma, Samir KC, Marian Leimbach, Leiwen Jiang, Tom Kram, Shilpa Rao, Johannes Emmerling, Kristie Ebi, Tomoko Hasegawa, Petr Havlík, Florian Humpenöder, Lara Aleluia Da Silva, Steve Smith, Elke Stehfest, Valentina Bosetti, Jiyong Eom, David Gernaat, Toshihiko Masui, Joeri Rogelj, Jessica Strefler, Laurent Drouet, Volker Krey, Gunnar Luderer, Mathijs Harmsen, Kiyoshi Takahashi, Lavinia Baumstark, Jonathan C. Doelman, Mikiko Kainuma, Zbigniew Klimont, Giacomo Marangoni, Hermann Lotze-Campen, Michael Obersteiner, Andrzej Tabeau, Massimo Tavoni, Global Environmental Change, Volume 42, Pages 153-168, ISSN 0959-3780, DOI: 110.1016/j.gloenvcha.2016.05.009, 2017

Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm, SSP1: Detlef P. van Vuuren, Elke Stehfest, David E.H.J. Gernaat, Jonathan C. Doelman, Maarten van den Berg, Mathijs Harmsen, Harmen Sytze de Boer, Lex F. Bouwman, Vassilis Daioglou, Oreane Y. Edelenbosch, Bastien Girod, Tom Kram, Luis Lassaletta, Paul L. Lucas, Hans van Meijl, Christoph Müller, Bas J. van Ruijven, Sietske van der Sluis, Andrzej Tabeau, Global Environmental Change, Volume 42, Pages 237-250, ISSN 0959-3780, DOI 10.1016/j.gloenvcha.2016.05.008, 2017

Target atmospheric CO2: Where should humanity aim?, Hansen, J., M. Sato, P. Kharecha, D. Beerling, R. Berner, V. Masson-Delmotte, M. Pagani, M. Raymo, D.L. Royer, and J.C. Zachos, Open Atmos. Sci. J., 2, 217-231, DOI: 10.2174/1874282300802010217, 2008

Related Papers

The Carbon Dioxide Removal Model Intercomparison Project (CDR-MIP): Rationale and experimental protocol for CMIP6, Keller, D. P., Lenton, A., Scott, V., Vaughan, N. E., Bauer, N., Ji, D., Jones, C. D., Kravitz, B., Muri, H., and Zickfeld, K., Geosci. Model Dev., DOI: 10.5194/gmd-2017-168, 2018.

The SSP greenhouse gas concentrations and their extensions to 2500, Meinshausen, M., Nicholls, Z., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., Canadell, J.P., Daniel, J.S., John, A.,Krummel, P., Luderer, G., Meinshausen, N., Montzka, S., Rayner, P., Reimann, S., Smith, S.J.,  van den Berg, M.,Velders, G.J.M., Vollmer, M., Wang, H.J.R., DOI: 10.5194/gmd-2019-222, 2019 (preprint)


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Synthesizing long-term sea level rise projections - the MAGICC sealevel model, Alexander Nauels, Malte Meinshausen, Matthias Mengel, Katja Lorbacher, and Tom M.L. Wigley, DOI: 10.5194/gmd-2016-233

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A solution to the misrepresentations of CO2-equivalent emissions of short-lived climate pollutants under ambitious mitigation, Myles R. Allen, Keith P. Shine, Jan S. Fuglestvedt, Richard J. Millar, Michelle Cain, David J. Frame & Adrian H. Macey, npj Climate and Atmospheric Science, volume 1, Article number: 16, DOI: 10.1038/s41612-018-0026-8, 2018

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Estimating Changes in Global Temperature since the Preindustrial Period, Ed Hawkins, Pablo Ortega, Emma Suckling, Andrew Schurer, Gabi Hegerl, Phil Jones, Manoj Joshi, Timothy J. Osborn, Valérie Masson-Delmotte, Juliette Mignot, Peter Thorne, and Geert Jan van Oldenborgh, DOI: 10.1175/BAMS-D-16-0007.1, 2017

Halocarbon scenarios, ozone depletion potentials, and global warming potentials, Daniel, J.S., and G.J.M. Velders (Lead Authors), A.R. Douglass, P.M.D. Forster, D.A. Hauglustaine, I.S.A. Isaksen, L.J.M. Kuijpers,A. McCulloch, and T.J. Wallington, Chapter 8 in Scientific Assessment of Ozone Depletion: 2006, Global Ozone Research and Monitoring Project—Report No. 50, 572 pp., World Meteorological Organization, Geneva, Switzerland, 2007


On the proportionality between global temperature change and cumulative CO2 emissions during periods of net negative CO2 emission, Kirsten Zickfeld, Andrew H MacDougall,and H Damon Matthews, doi:10.1088/1748-9326/11/5/055006, 2016