The integrated Earth system model version 1: formulation and functionality
-
Published:2015-07-23
Issue:7
Volume:8
Page:2203-2219
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Collins W. D.ORCID, Craig A. P., Truesdale J. E., Di Vittorio A. V.ORCID, Jones A. D., Bond-Lamberty B.ORCID, Calvin K. V.ORCID, Edmonds J. A., Kim S. H., Thomson A. M.ORCID, Patel P., Zhou Y., Mao J., Shi X.ORCID, Thornton P. E.ORCID, Chini L. P.ORCID, Hurtt G. C.
Abstract
Abstract. The integrated Earth system model (iESM) has been developed as a new tool for projecting the joint human/climate system. The iESM is based upon coupling an integrated assessment model (IAM) and an Earth system model (ESM) into a common modeling infrastructure. IAMs are the primary tool for describing the human–Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species (SLS), land use and land cover change (LULCC), and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. The iESM project integrates the economic and human-dimension modeling of an IAM and a fully coupled ESM within a single simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore-omitted feedbacks between natural and societal drivers, we can improve scientific understanding of the human–Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems. This paper describes the formulation, requirements, implementation, testing, and resulting functionality of the first version of the iESM released to the global climate community.
Funder
Biological and Environmental Research
Publisher
Copernicus GmbH
Reference70 articles.
1. Bond-Lamberty, B., Calvin, K., Jones, A. D., Mao, J., Patel, P., Shi, X. Y., Thomson, A., Thornton, P., and Zhou, Y.: On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model, Geosci. Model Dev., 7, 2545–2555, https://doi.org/10.5194/gmd-7-2545-2014, 2014. 2. Brovkin, V., Boysen, L., Arora, V. K., Boisier, J. P., Cadule, P., Chini, L., Claussen, M., Friedlingstein, P., Gayler, V., van den Hurk, B. J. J. M., Hurtt, G. C., Jones, C. D., Kato, E., de Noblet-Ducoudré, N., Pacifico, F., Pongratz, J., and Weiss, M.: Effect of anthropogenic land-use and land-cover changes on climate and land carbon storage in CMIP5 projections for the twenty-first century, J. Climate, 26, 6859–6881, https://doi.org/10.1175/JCLI-D-12-00623.1, 2013. 3. Calvin, K. V.: GCAM Wiki Documentation, available at: https://wiki.umd.edu/gcam/ (last access: 21 August 2012), 2011. 4. CCSP: The Effects of Climate Change on Agriculture, Land Resources, Water Resources, and Biodiversity, a Report by the US Climate Change Science Program and the Subcommittee on Global Change Research, edited by: Backlund, P., Janetos, A., Schimel, D., Hatfield, J., Boote, K., Fay, P., Hahn, L., Izaurralde, C., Kimball, B. A., Mader, T., Morgan, J., Ort, D., Polley, W., Thomson, A., Wolfe, D., Ryan, M., Archer, S., Birdsey, R., Dahm, C., Heath, L., Hicke, J., Hollinger, D., Huxman, T., Okin, G., Oren, R., Randerson, J., Schlesinger, W., Lettenmaier, D., Major, D., Poff, L., Running, S., Hansen, L., Inouye, D., Kelly, B. P., Meyerson, L., Peterson, B., and Shaw, R., US Environmental Protection Agency, Washington, D.C., 362 pp., 2008. 5. Chaturvedi, V., Kim, S., Smith, S. J., Clarke, L., Yuyu, Z., Kyle, P., and Patel, P.: Model evaluation and hindcasting: An experiment with an integrated assessment model, Energy, 61, 479–490, https://doi.org/10.1016/j.energy.2013.08.061, 2013.
Cited by
55 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|