The Atmospheric Radiative Transfer Simulator Arts, Version 2.6 — Deep Python Integration

48 Pages Posted: 2 May 2024

See all articles by Stefan Alexander Buehler

Stefan Alexander Buehler

affiliation not provided to SSRN

Richard Larsson

affiliation not provided to SSRN

Oliver Lemke

affiliation not provided to SSRN

Simon Pfreundschuh

affiliation not provided to SSRN

Manfred Brath

affiliation not provided to SSRN

Ian Adams

affiliation not provided to SSRN

Stuart Fox

Met Office

Florian Elias Roemer

affiliation not provided to SSRN

Paulina Czarnecki

Columbia University

Patrick Eriksson

affiliation not provided to SSRN

Abstract

The atmospheric radiative transfer simulator ARTS is a software for computing atmospheric absorption, scattering, the transfer of radiation through an atmosphere, and sensor characteristics. It is written in C++ and can simulate remote sensing observations and radiative energy fluxes. The article describes version 2.6 of the software. There are numerous changes compared to the last ARTS publication, the most striking being that the program is now controlled by Python scripts, which is convenient and allows for great flexibility. The article discusses the ARTS history, the theory behind the computations of absorption and radiative transfer, available solvers for atmospheres with scattering, the computation of energy fluxes and heating rates, and the built-in system for inverting remote observations to atmospheric state variables by optimal estimation. ARTS is publicly available, open source, and free of charge.

Keywords: atmospheric radiative transfer simulator, ARTS, absorption, Scattering, line-by-line, energy fluxes

Suggested Citation

Buehler, Stefan Alexander and Larsson, Richard and Lemke, Oliver and Pfreundschuh, Simon and Brath, Manfred and Adams, Ian and Fox, Stuart and Roemer, Florian Elias and Czarnecki, Paulina and Eriksson, Patrick, The Atmospheric Radiative Transfer Simulator Arts, Version 2.6 — Deep Python Integration. Available at SSRN: https://ssrn.com/abstract=4815661 or http://dx.doi.org/10.2139/ssrn.4815661

Stefan Alexander Buehler (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Richard Larsson

affiliation not provided to SSRN ( email )

No Address Available

Oliver Lemke

affiliation not provided to SSRN ( email )

No Address Available

Simon Pfreundschuh

affiliation not provided to SSRN ( email )

No Address Available

Manfred Brath

affiliation not provided to SSRN ( email )

No Address Available

Ian Adams

affiliation not provided to SSRN ( email )

No Address Available

Stuart Fox

Met Office ( email )

Florian Elias Roemer

affiliation not provided to SSRN ( email )

No Address Available

Paulina Czarnecki

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

Patrick Eriksson

affiliation not provided to SSRN ( email )

No Address Available

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
230
Abstract Views
482
Rank
272,751
PlumX Metrics