Data for "diagnosing the radiation biases in the global climate models using relative kernels"

Name: Data for "diagnosing the radiation biases in the global climate models using relative kernels"
Creator: han huang
Published: 2023-03-16T08:41:50.421Z
Keywords: Atmospheric Radiation

huang, han

doi:10.17632/6j5999szj6.2

Data for "diagnosing the radiation biases in the global climate models using relative kernels"

Published: 16 March 2023| Version 2 | DOI: 10.17632/6j5999szj6.2

Contributor:

han huang

Description

The dataset contains the radiation biases diagnosed by radiative kernels in each CMIP6 AMIP model

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Institutions

McGill University

Data for "diagnosing the radiation biases in the global climate models using relative kernels"

Description

Files

Institutions

Categories

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