Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7355–7368, 2021
Atmos. Meas. Tech., 14, 7355–7368, 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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Cited articles

Arghand, T., Karimipanah, T., Awbi, H. B., Cehlin, M., Larsson, U., and Linden, E.: An experimental investigation of the flow and comfort parameters for under-floor, confluent jets and mixing ventilation systems in an open-plan office, Build. Environ., 92, 48–60,, 2015. 
Belotti, C., Cuccoli, F., Facheris, L., and Vaselli, O.: An application of tomographic reconstruction of atmospheric CO2 over a volcanic site based on open-path IR laser measurements, IEEE T. Geosci. Remote, 41, 2629–2637,, 2003. 
Bini, D. and Capovani, M., A Class of cubic splines obtained through minimum conditions, Math. Comput., 46, 191–202,, 1986. 
Briggs, I. C.: Machine contouring using minimum curvature, Geophysics, 39, 39,, 1974. 
Cehlin, M.: Mapping tracer gas concentrations using a modi?ed Low Third Derivative method: numerical study, Int. J. Vent., 18, 136–151,, 2019. 
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.