Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6545-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Accurate and robust geometric algorithms for regridding on the sphere
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- Final revised paper (published on 21 Jul 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 18 Feb 2026)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2026-636', Anonymous Referee #1, 25 Mar 2026
- AC1: 'Reply on RC1', Hongyu Chen, 18 May 2026
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RC2: 'Comment on egusphere-2026-636', Anonymous Referee #2, 22 Apr 2026
- AC2: 'Reply on RC2', Hongyu Chen, 18 May 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Hongyu Chen on behalf of the Authors (15 Jun 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (19 Jun 2026) by Lars Hoffmann
ED: Publish subject to technical corrections (19 Jun 2026) by Juan Antonio Añel (Executive editor)
AR by Hongyu Chen on behalf of the Authors (22 Jun 2026)
Author's response
Manuscript
This manuscript provides a systematic treatment of the geometric algorithms underpinning spherical regridding operations. The paper addresses a genuine and longstanding gap in the geoscience modeling literature: these algorithms are widely used but poorly documented, implemented with varying degrees of rigor, and rarely compared systematically. The text will be a valuable reference for model developers.
Although I have developed an appreciation for this work, I cannot recommend publication until the following major revisions are made.
Major Comments:
1. The paper’s central prescriptive recommendations, such as the use of Kahan’s formula for edge length calculations, the preference for Eriksson’s formula over L’Huilier and quadrature-based methods for face area computation, and the conclusion that k-d trees and ball trees exhibit broadly similar performance, are supported by benchmark results presented only in the supplementary material. Readers should not need to consult the supplement to assess whether the paper’s core numerical claims are well supported.
I encourage the authors to incorporate the key quantitative findings from Supplement into the main text, including, at a minimum, representative error magnitudes and relative performance comparisons for the recommended approaches. Supplement can still serve an important role by presenting complete tables and additional comparisons.
2. The AccuCross and AccuXGCA algorithms represent key novel contributions of the paper. However, the manuscript does not currently include error bounds or empirical demonstrations of their accuracy, noting instead that such analysis is deferred to future work. To strengthen the paper, it would be helpful for the authors to include, at a minimum, either asymptotic error bounds or a concise empirical assessment of accuracy for AccuCross and AccuXGCA in the main text or appendix.
3. Several contributions are described as being implemented in existing tools such as TempestRemap but documented here for the first time, including the extremal latitude formula and the sweep-line bounding rectangle algorithm. While documenting previously undescribed algorithms is valuable, the paper would benefit from a clearer and more explicit delineation, ideally in the introduction or in a dedicated summary, of which elements are algorithmically novel and which are being formally described for the first time.
Minor Comment:
The manuscript is well written, and the English is of a high standard throughout. Nevertheless, a careful final proofreading pass is recommended to catch isolated typographical errors before resubmission. As one example, Section 5.4 contains a duplicated word: "we we find from (3) that".