Published September 30, 2020 | Version 2.0
Dataset Open

Data for "Top-of-atmosphere albedo bias from neglecting three-dimensional cloud radiative effects''

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Johns Hopkins University

Citation

Singer, C. E., Lopez-Gomez, I., Zhang, X., & Schneider, T. (2020). Data for "Top-of-atmosphere albedo bias from neglecting three-dimensional cloud radiative effects'' (2.0) [Data set]. CaltechDATA. https://doi.org/10.22002/D1.1637

Description

This dataset contains 3D fields from the PyCLES large-eddy simulation model post-processed into the format required for the libRadtran MYSTIC radiative transfer solver. These data were used in the paper "Top-of-atmosphere albedo bias from neglecting three-dimensional cloud radiative effects''. Also included are the uvspec.template files required by libRadtran.

Files

SINGER 2021 - 3D CLOUD RADIATIVE EFFECTS.zip
Files (232.2 MB)
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md5:9c2e0528830c1e6d3913e046a6e9013f
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Additional details

Created:
September 8, 2022
Modified:
November 18, 2022