Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations

Di Noia, A.; Hasekamp, O. P.; van Harten, G.; Rietjens, J. H. H.; Smit, J. M.; Snik, F.; Henzing, J. S.; de Boer, J.; Keller, C. U.; Volten, H.

doi:https://doi.org/10.5194/amt-8-281-2015

Articles | Volume 8, issue 1

https://doi.org/10.5194/amt-8-281-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-281-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 1

Research article

|

14 Jan 2015

Research article |

| 14 Jan 2015

Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations

A. Di Noia, O. P. Hasekamp, G. van Harten, J. H. H. Rietjens, J. M. Smit, F. Snik, J. S. Henzing, J. de Boer, C. U. Keller, and H. Volten

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Final revised paper (published on 14 Jan 2015)
Preprint (discussion started on 08 Sep 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C2748: 'Review: “Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations”', Anonymous Referee #1, 19 Sep 2014
- AC C4076: 'Reply to Referee #1', Antonio Di Noia, 04 Dec 2014
RC C3756: 'Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations', Anonymous Referee #3, 17 Nov 2014
- AC C4082: 'Reply to Referee #3', Antonio Di Noia, 04 Dec 2014

Short summary

A neural network algorithm has been developed to retrieve aerosol microphysical parameters from ground-based measurements of skylight intensity and polarization. The neural network is capable of producing accurate estimates of aerosol optical thicknesses, effective radii and refractive index. In addition, it is shown that the use of the neural retrievals as initial guess for an iterative retrieval algorithm results in improved convergence and retrieval accuracy.