Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-108
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
16 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5
Angeline G. Pendergrass, Andrew Conley, and Francis Vitt National Center for Atmospheric Research, Boulder, CO, 80305, USA
Abstract. Radiative kernels at the top of atmosphere are useful for decomposing changes in atmospheric radiative fluxes due to feedbacks from atmosphere and surface temperature, water vapor, and surface albedo. Here we describe and validate radiative kernels calculated with the large-ensemble version of CAM5, CESM 1.1.2, at the top-of-atmosphere and the surface. Estimates of the radiative forcing from greenhouse gases and aerosols in RCP8.5 in the CESM large ensemble simulations are also included. As an application, feedbacks are calculated for the CESM large ensemble. The kernels are freely available at https://zenodo.org/record/997902, and accompanying software can be downloaded from https://github.com/apendergrass/cam5-kernels.

Citation: Pendergrass, A. G., Conley, A., and Vitt, F.: Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-108, in review, 2017.
Angeline G. Pendergrass et al.
Angeline G. Pendergrass et al.

Data sets

CAM5 Radiative Kernels
A. G. Pendergrass
https://doi.org/10.5065/D6F47MT6

Model code and software

cam5-kernels
A. G. Pendergrass
https://doi.org/10.5281/ZENODO.997900
Angeline G. Pendergrass et al.

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Short summary
We document and validate radiative kernels for the surface and top-of-atmosphere calculated with NCAR's CESM 1 climate model. A radiative kernel is the change in radiation in response to a small change in a property of the atmosphere or surface, essentially a partial derivative. They are used to quantify temperature, water vapor, surface albedo, and cloud feedbacks. We made these kernels because few are available for the surface. Validation of kernels is rare.
We document and validate radiative kernels for the surface and top-of-atmosphere calculated with...
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