Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-853-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-853-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
Research article
 | 
07 Feb 2019
Research article |  | 07 Feb 2019

3-D tomographic limb sounder retrieval techniques: irregular grids and Laplacian regularisation

Lukas Krasauskas, Jörn Ungermann, Stefan Ensmann, Isabell Krisch, Erik Kretschmer, Peter Preusse, and Martin Riese

Viewed

Total article views: 3,203 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,160 876 167 3,203 388 119 149
  • HTML: 2,160
  • PDF: 876
  • XML: 167
  • Total: 3,203
  • Supplement: 388
  • BibTeX: 119
  • EndNote: 149
Views and downloads (calculated since 12 Jul 2018)
Cumulative views and downloads (calculated since 12 Jul 2018)

Viewed (geographical distribution)

Total article views: 3,203 (including HTML, PDF, and XML) Thereof 3,055 with geography defined and 148 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Dec 2025
Download
Short summary
Many limb sounder measurements from the same atmospheric region taken at different angles can be combined into a 3-D tomographic image of the atmosphere. Mathematically, this is a complex, computationally expensive, underdetermined problem that needs additional constraints (regularisation). We introduce an improved regularisation method based on physical properties of the atmosphere with a new irregular grid implementation. Simulated data tests show improved results and lower computational cost.
Read more
Share