Improved Method for the Retrieval of Extinction Coefficient Profile by Regularization Techniques


Contact
christoph.ritter [ at ] awi.de

Abstract

In this work, we revise the retrieval of extinction coefficient profiles from Raman Lidar. This is an ill-posed problem, and we show that methods like Levenberg–Marquardt or Tikhonov–Phillips can be applied. We test these methods for a synthetic Lidar profile (known solution) with different noise realizations. Further, we apply these methods to three different cases of data from the Arctic: under daylight (Arctic Haze), under daylight with a high and vertically extended aerosol layer, and at nighttime with high extinction. We show that our methods work and allow a trustful derivation of extinction up to clearly higher altitudes (at about half a signal-to-noise ratio) compared with the traditional, non- regularized Ansmann solution. However, these new methods are not trivial and require a choice of parameters, which depend on the noise of the data. As the Lidar signal quality quickly decreases with range, a separation of the profile into several sub-intervals seems beneficial.



Item Type
Article
Authors
Divisions
Primary Division
Primary Topic
Publication Status
Published
Eprint ID
60070
DOI 10.3390/rs17050841

Cite as
Herrmann, R. M. , Ritter, C. , Böckmann, C. and Graßl, S. (2025): Improved Method for the Retrieval of Extinction Coefficient Profile by Regularization Techniques , Remote Sensing, 17 (5), p. 841 . doi: 10.3390/rs17050841


Download
[thumbnail of remotesensing-17-00841.pdf]
Preview
PDF
remotesensing-17-00841.pdf - Other

Download (6MB) | Preview

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Citation

Research Platforms


Actions
Edit Item Edit Item