Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/gmd-16-1697-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1697-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
Development and technical paper
 | 
27 Mar 2023
Development and technical paper |  | 27 Mar 2023

Fast approximate Barnes interpolation: illustrated by Python-Numba implementation fast-barnes-py v1.0

Bruno K. Zürcher

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Latest update: 23 Nov 2024
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Short summary
We present a novel algorithm to efficiently compute Barnes interpolation, which is a method for transforming data values recorded at irregularly spaced points into a corresponding regular grid. In contrast to naive implementations with an algorithmic complexity that depends on the product of the number of sample points and the number of grid points, our approach reduces this dependency to their sum.
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