Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 14
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.
https://doi.org/10.5194/gmd-19-6545-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 14
Review and perspective paper
 | 
21 Jul 2026
Review and perspective paper |  | 21 Jul 2026

Accurate and robust geometric algorithms for regridding on the sphere

Hongyu Chen, Paul A. Ullrich, Julian Panetta, David Marsico, Moritz Hanke, Rajeev Jain, Chengzhu Zhang, and Robert L. Jacob

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Editorial statement
Regridding is one of the most common operations in geoscientific modeling and data analysis. However, regridding algorithms are rarely documented together or systematically compared in a manner that elucidates their relative strengths and appropriate use. This review paper addressed this gap.
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Short summary
Accurate data transfer between different grids is essential in climate and weather modeling. This study analyzes the geometric operations that underpin such transfers on the spherical Earth, identifies gaps and limitations in current methods, and introduces improved algorithms to ensure accuracy, reliability, and performance for next-generation modeling and data analysis systems.
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