Articles | Volume 18, issue 22
https://doi.org/10.5194/gmd-18-8511-2025
https://doi.org/10.5194/gmd-18-8511-2025
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

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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.
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