Py4CAtS - Python tools for line-by-line modelling of infrared atmospheric radiative transfer

4Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Py4CAtS - Python scripts for Computational ATmospheric Spectroscopy is a Python re-implementation of the Fortran infrared radiative transfer code GARLIC, where compute-intensive code sections utilize the Numeric/Scientific Python modules for highly optimized array-processing. The individual steps of an infrared or microwave radiative transfer computation are implemented in separate scripts to extract lines of relevant molecules in the spectral range of interest, to compute line-by-line cross sections for given pressure(s) and temperature(s), to combine cross sections to absorption coefficients and optical depths, and to integrate along the line-of-sight to transmission and radiance/intensity. The basic design of the package, numerical and computational aspects relevant for optimization, and a sketch of the typical workflow are presented. © 2013 AIP Publishing LLC.

Cite

CITATION STYLE

APA

Schreier, F., & García, S. G. (2013). Py4CAtS - Python tools for line-by-line modelling of infrared atmospheric radiative transfer. In AIP Conference Proceedings (Vol. 1531, pp. 123–126). https://doi.org/10.1063/1.4804723

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free