Articles | Volume 15, issue 17
Geosci. Model Dev., 15, 6817–6840, 2022
https://doi.org/10.5194/gmd-15-6817-2022
Geosci. Model Dev., 15, 6817–6840, 2022
https://doi.org/10.5194/gmd-15-6817-2022
Model description paper
 | Highlight paper
08 Sep 2022
Model description paper  | Highlight paper | 08 Sep 2022

HORAYZON v1.2: an efficient and flexible ray-tracing algorithm to compute horizon and sky view factor

Christian R. Steger et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-58', Laura Rontu, 01 May 2022
  • CC1: 'Comment on gmd-2022-58', Jeff Dozier, 25 May 2022
  • RC2: 'Comment on gmd-2022-58', Henning Loewe, 30 May 2022
  • EC1: 'Proceed with revised manuscript', Andrew Wickert, 02 Jun 2022
  • AC1: 'Comment on gmd-2022-58', Christian Steger, 04 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christian Steger on behalf of the Authors (05 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (15 Aug 2022) by Andrew Wickert
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Executive editor
Finding the horizon is commonplace for humans, and evocative when imagining journeys on the coast, in the mountains, or in endless plains. This paper shows a way to optimize a machine's ability to complete the same task, with the goal of bettering our ability to understand nature and climate.
Short summary
Terrain horizon and sky view factor are crucial quantities for many geoscientific applications; e.g. they are used to account for effects of terrain on surface radiation in climate and land surface models. Because typical terrain horizon algorithms are inefficient for high-resolution (< 30 m) elevation data, we developed a new algorithm based on a ray-tracing library. A comparison with two conventional methods revealed both its high performance and its accuracy for complex terrain.