Automatic optical depth parametrization in radiative transfer model RTTOV v13 via LASSO-induced sparsity

Vargas Jiménez, Franklin; De los Reyes, Juan Carlos

doi:10.5194/gmd-18-8511-2025

Articles | Volume 18, issue 22

https://doi.org/10.5194/gmd-18-8511-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-8511-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 22

Development and technical paper

|

14 Nov 2025

Development and technical paper |

| 14 Nov 2025

Automatic optical depth parametrization in radiative transfer model RTTOV v13 via LASSO-induced sparsity

Franklin Vargas Jiménez and Juan Carlos De los Reyes

Model code and software

Automatic Optical Depth Parametrization in Radiative Transfer Models via LASSO-Induced Sparsity: Code F. Vargas Jiménez and J. C. De los Reyes https://doi.org/10.5281/zenodo.17050361

Short summary

This study proposes an automatic method to parameterize atmospheric optical depths in the Radiative Transfer for TIROS Operational Vertical Sounder (RTTOV) version 13 model. The approach combines statistical inference and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce parameters and select relevant gases. Tests with Visible Infrared Imaging Radiometer Suite (VIIRS) channels show reduced computation while preserving accuracy.