Data from: Investigating the linear dependence of direct and indirect radiative forcing on emission of carbonaceous aerosols in a global climate model
Citation:
Chen, Yanju; Bond, Tami (2017): Data from: Investigating the linear dependence of direct and indirect radiative forcing on emission of carbonaceous aerosols in a global climate model. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7239548_V1
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Dataset Description

The dataset contains processed model fields used to generate data, figures and tables in the Journal of Geophysical Research article "Investigating the linear dependence of direct and indirect radiative forcing on emission of carbonaceous aerosols in a global climate model." The processed data are monthly averaged cloud properties (CCN, CDNC and LWP) and forcing variables (DRF and IRF) at original CAM5 spatial resolution (1.9° by 2.5°). Raw model output fields from CAM5 simulations are available through NERSC upon request. Please find more detailed information in the ReadMe file.
Subject Technology and Engineering
Keywords carbonaceous aerosols; radiative forcing; emission; linearity
License CC BY
Funder U.S. Department of Energy (DOE) - Grant: DE-AC05-76RLO1830
Funder Environmental Protection Agency - Grant: RD-83503401
Corresponding Creator Tami Bond
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Related Materials:
   Article Chen, Y., Wang, H., Singh, B., Ma, P.-L., Rasch, P. J. & Bond, T. C. (2018). Investigating the linear dependence of direct and indirect radiative forcing on emission of carbonaceous aerosols in a global climate model. Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1002/2017JD027244
Version DOI Comment Publication Date
1 10.13012/B2IDB-7239548_V1 2017-12-20
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update: {"subject"=>[nil, "Technology and Engineering"]} 2018-02-27T20:41:51Z