Articles | Volume 13, issue 10
Atmos. Meas. Tech., 13, 5491–5511, 2020
https://doi.org/10.5194/amt-13-5491-2020
Atmos. Meas. Tech., 13, 5491–5511, 2020
https://doi.org/10.5194/amt-13-5491-2020

Research article 14 Oct 2020

Research article | 14 Oct 2020

A kernel-driven BRDF model to inform satellite-derived visible anvil cloud detection

Benjamin R. Scarino et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Benjamin Scarino on behalf of the Authors (25 Aug 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (28 Aug 2020) by Andrew Sayer
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Short summary
This paper highlights a technique for facilitating anvil cloud detection based on visible observations that relies on comparative analysis with expected cloud reflectance for a given set of angles. A 1-year database of anvil-identified pixels, as determined from IR observations, from several geostationary satellites was used to construct a bidirectional reflectance distribution function model to quantify typical anvil reflectance across almost all expected viewing, solar, and azimuth angles.