×

Inverse scattering problems of the nonlinear LIDAR-equation. (English) Zbl 0916.35131

Summary: The ill-posed problem of determining the aerosol size distribution function \(n(r)\) from a small number of backscattering and extinction measurements is solved with a mollifier method. The ill-posed part is performed on exactly given quantities. The points \(r\), where \(n(r)\) is evaluated, may be freely selected.

MSC:

35R30 Inverse problems for PDEs
65R30 Numerical methods for ill-posed problems for integral equations
78A45 Diffraction, scattering
86A10 Meteorology and atmospheric physics
Full Text: DOI

References:

[1] Böckmann, Projection method for lidar measurements; Advanced Mathematical Tools in Metrology III (1997)
[2] Böckmann, Mollifier methods for aerosol size distribution, Advances in Atmospheric Remote Sensing with Lidar pp 67– (1996)
[3] Bohren, Absorption and Scattering of Light by Small Particles (1983)
[4] Hofmann, Regularization for Applied Inverse and Ill-Posed Problems (1986) · Zbl 0606.65038 · doi:10.1007/978-3-322-93034-7
[5] Engl, Regularization of Inverse Problems (1996) · doi:10.1007/978-94-009-1740-8
[6] Louis, Approximate inverse for linear and some nonlinear problems, Inverse Problems 12 pp 175– (1996) · Zbl 0851.65036
[7] Louis, A Mollifier method for linear operator equations of the first kind, Inverse P. 6 pp 427– (1990)
[8] Müller, Optical Remote Sensing of the Atmosphere 5 pp 94– (1997)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.