Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/gmd-17-2053-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-17-2053-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Development and technical paper
 | 
12 Mar 2024
Development and technical paper |  | 12 Mar 2024

PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations

Salvatore Larosa, Domenico Cimini, Donatello Gallucci, Saverio Teodosio Nilo, and Filomena Romano

Viewed

Total article views: 3,285 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,422 772 91 3,285 106 129
  • HTML: 2,422
  • PDF: 772
  • XML: 91
  • Total: 3,285
  • BibTeX: 106
  • EndNote: 129
Views and downloads (calculated since 28 Sep 2023)
Cumulative views and downloads (calculated since 28 Sep 2023)

Viewed (geographical distribution)

Total article views: 3,285 (including HTML, PDF, and XML) Thereof 3,223 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
PyRTlib is an attractive educational tool because it provides a flexible and user-friendly way to broadly simulate how electromagnetic radiation travels through the atmosphere as it interacts with atmospheric constituents (such as gases, aerosols, and hydrometeors). PyRTlib is a so-called radiative transfer model; these are commonly used to simulate and understand remote sensing observations from ground-based, airborne, or satellite instruments.
Read more
Share
Special issue
Profiling the atmospheric boundary layer at a European scale...