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

Scarino, Benjamin R.; Bedka, Kristopher; Bhatt, Rajendra; Khlopenkov, Konstantin; Doelling, David R.; Smith Jr., William L.

doi:https://doi.org/10.5194/amt-13-5491-2020

Articles | Volume 13, issue 10

https://doi.org/10.5194/amt-13-5491-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-5491-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 10

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, Kristopher Bedka, Rajendra Bhatt, Konstantin Khlopenkov, David R. Doelling, and William L. Smith Jr.

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Final revised paper (published on 14 Oct 2020)
Preprint (discussion started on 11 Jun 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'A kernel-driven BRDF model to inform satellite-derived visible anvil cloud detection', Anonymous Referee #1, 29 Jun 2020
- AC1: 'Author comments in response to RC1, Anonymous Referee #1', Benjamin Scarino, 25 Aug 2020
RC2: 'Referee Comments - Martin Setvak', Martin Setvak, 03 Jul 2020
- AC2: 'Author comments in response to RC2, Martin Setvak', Benjamin Scarino, 25 Aug 2020

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

AR by Benjamin Scarino on behalf of the Authors (31 Aug 2020) Manuscript

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.