Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7355–7368, 2021
https://doi.org/10.5194/amt-14-7355-2021
Atmos. Meas. Tech., 14, 7355–7368, 2021
https://doi.org/10.5194/amt-14-7355-2021
Research article
25 Nov 2021
Research article | 25 Nov 2021

A minimum curvature algorithm for tomographic reconstruction of atmospheric chemicals based on optical remote sensing

Sheng Li and Ke Du

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Short summary
A new minimum curvature algorithm has been proposed for tomographic mapping of air chemicals using optical remote sensing based on the seminorms in variational interpolation. The algorithm was evaluated by using multiple test maps. It shows significant improvement compared with the nonsmoothed algorithm, requires only approximately 65 % computation time of the low third derivative algorithm, and is simple to implement by directly using high-resolution grids.