One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model

Bailey, Brian N.; Ponce de León, María A.; Krayenhoff, E. Scott

doi:https://doi.org/10.5194/gmd-13-4789-2020

Articles | Volume 13, issue 10

https://doi.org/10.5194/gmd-13-4789-2020

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

https://doi.org/10.5194/gmd-13-4789-2020

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

Articles | Volume 13, issue 10

Model evaluation paper

|

06 Oct 2020

Model evaluation paper |

| 06 Oct 2020

One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model

Brian N. Bailey, María A. Ponce de León, and E. Scott Krayenhoff

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Final revised paper (published on 06 Oct 2020)
Preprint (discussion started on 17 Jan 2020)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Executive editor comment: code availability', David Ham, 16 May 2020
RC1: 'review comments', Anonymous Referee #1, 21 Jun 2020
RC2: 'Review', Anonymous Referee #2, 26 Jun 2020
AC1: 'Response to Review Comments', Brian Bailey, 14 Aug 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Brian Bailey on behalf of the Authors (14 Aug 2020) Author's response Manuscript

ED: Publish as is (18 Aug 2020) by Gerd A. Folberth

AR by Brian Bailey on behalf of the Authors (20 Aug 2020) Manuscript

Short summary

Numerous models of plant radiation interception based on a range of assumptions are available in the literature, but the importance of each assumption is not well understood. In this work, we evaluate several assumptions common in simple models of radiation interception in canopies with widely spaced plants by comparing against a detailed 3-D model. This yielded a simple model based on readily measurable parameters that could accurately predict interception for a wide range of architectures.