IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v99y2019i3d10.1007_s11069-019-03640-1.html
   My bibliography  Save this article

A simple earth system model for C3IAM: based on BCC_CSM1.1 and CMIP5 simulations

Author

Listed:
  • Changyi Liu

    (National Climate Center, China Meteorological Administration
    Global Energy Interconnection Development and Cooperation Organization)

  • Xueli Shi

    (National Climate Center, China Meteorological Administration)

  • Guoquan Hu

    (National Climate Center, China Meteorological Administration)

  • Qiufeng Liu

    (National Climate Center, China Meteorological Administration)

  • Yunwei Dai

    (China Meteorological Administration)

  • Wenyan Zhou

    (National Climate Center, China Meteorological Administration)

  • Chao Wei

    (National Climate Center, China Meteorological Administration)

  • Yunfei Cao

    (Beijing Institute of Technology)

Abstract

Traditional complex climate system models used in natural sciences cannot match the integrated assessment models well due to differences in temporal and spatial resolutions and especially computational complexities. In this study, we develop a simple earth system model called Beijing Climate Center Simple Earth System Model (BCC_SESM), which is based on the complex BCC_CSM1.1 model and its CMIP5 simulation results as inputs. The basic and complete processes are considered in the BCC_SESM initiating from the carbon emission, including the carbon cycle processes in atmosphere–land–ocean, the radiation forcing and temperature changes. The emission-driven simulation results for historical and RCP8.5 scenarios are selected as the default datasets, and econometric regressions are applied to calibrate the parameters. Projection analysis and sensitive experiments with the BCC_SESM show that this model is parsimonious and robust enough to reproduce results of original complex climate system model. We also compare results of parameters and projection efficacy of different mid-lower emission scenarios simulations by applying this BCC_SESM. The results show that BCC_SESM is suitable for climate projections in the integrated assessment modeling, i.e., the C3IAM.

Suggested Citation

  • Changyi Liu & Xueli Shi & Guoquan Hu & Qiufeng Liu & Yunwei Dai & Wenyan Zhou & Chao Wei & Yunfei Cao, 2019. "A simple earth system model for C3IAM: based on BCC_CSM1.1 and CMIP5 simulations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1311-1325, December.
  • Handle: RePEc:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-019-03640-1
    DOI: 10.1007/s11069-019-03640-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03640-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-019-03640-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matsuoka, Yuzuru & Kainuma, Mikiko & Morita, Tsuneyuki, 1995. "Scenario analysis of global warming using the Asian Pacific Integrated Model (AIM)," Energy Policy, Elsevier, vol. 23(4-5), pages 357-371.
    2. William D. Nordhaus, 1992. "The 'DICE' Model: Background and Structure of a Dynamic Integrated Climate-Economy Model of the Economics of Global Warming," Cowles Foundation Discussion Papers 1009, Cowles Foundation for Research in Economics, Yale University.
    3. Tol, Richard S. J., 2009. "The Feasibility of Low Concentration Targets: An Application of FUND," Papers WP285, Economic and Social Research Institute (ESRI).
    4. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nathalie Spittler & Ganna Gladkykh & Arnaud Diemer & Brynhildur Davidsdottir, 2019. "Understanding the Current Energy Paradigm and Energy System Models for More Sustainable Energy System Development," Post-Print hal-02127724, HAL.
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Rosendahl, Knut Einar, 2004. "Cost-effective environmental policy: implications of induced technological change," Journal of Environmental Economics and Management, Elsevier, vol. 48(3), pages 1099-1121, November.
    4. Martin Zapf & Hermann Pengg & Christian Weindl, 2019. "How to Comply with the Paris Agreement Temperature Goal: Global Carbon Pricing According to Carbon Budgets," Energies, MDPI, vol. 12(15), pages 1-20, August.
    5. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    6. Yiwei Lian & Yang Bai & Zhongde Huang & Maroof Ali & Jie Wang & Haoran Chen, 2024. "Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model," Land, MDPI, vol. 13(2), pages 1-19, February.
    7. Kahn, Matthew E. & Mohaddes, Kamiar & Ng, Ryan N.C. & Pesaran, M. Hashem & Raissi, Mehdi & Yang, Jui-Chung, 2021. "Long-term macroeconomic effects of climate change: A cross-country analysis," Energy Economics, Elsevier, vol. 104(C).
    8. Changxin Liu & Hailing Zhang & Zheng Wang, 2019. "Study on the Functional Improvement of Economic Damage Assessment for the Integrated Assessment Model," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
    9. Elin Berg & Snorre Kverndokk & Knut Einar Rosendahl, 1999. "Optimal Oil Exploration under Climate Treaties," Discussion Papers 245, Statistics Norway, Research Department.
    10. Michael Donadelli & Patrick Grüning & Steffen Hitzemann, 2019. "Understanding Macro and Asset Price Dynamics During the Climate Transition," Bank of Lithuania Discussion Paper Series 18, Bank of Lithuania.
    11. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition risk," Working Papers hal-04159804, HAL.
    12. Jun U. Shepard & Bas J. van Ruijven & Behnam Zakeri, 2022. "Impacts of Trade Friction and Climate Policy on Global Energy Trade Network," Energies, MDPI, vol. 15(17), pages 1-21, August.
    13. Ruda Zhang & Patrick Wingo & Rodrigo Duran & Kelly Rose & Jennifer Bauer & Roger Ghanem, 2020. "Environmental Economics and Uncertainty: Review and a Machine Learning Outlook," Papers 2004.11780, arXiv.org.
    14. G. Hibino & M. Kainuma & Y. Matsuoka & T. Morita, 1996. "Two-level Mathematical Programming for Analyzing Subsidy Options to Reduce Greenhouse-Gas Emissions," Working Papers wp96129, International Institute for Applied Systems Analysis.
    15. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    16. Withers, Mitch R. & Malina, Robert & Barrett, Steven R.H., 2015. "Carbon, climate, and economic breakeven times for biofuel from woody biomass from managed forests," Ecological Economics, Elsevier, vol. 112(C), pages 45-52.
    17. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    18. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    19. Bondarev, Anton & Greiner, Alfred, 2020. "Global warming and technical change: Multiple steady-states and policy options," China Economic Review, Elsevier, vol. 62(C).
    20. Puliafito, Salvador Enrique & Puliafito, José Luis & Grand, Mariana Conte, 2008. "Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions," Ecological Economics, Elsevier, vol. 65(3), pages 602-615, April.

    More about this item

    Keywords

    Climate model; IAM; BCC_CSM1.1; CMIP5; BCC_SESM;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-019-03640-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.