the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
HAPI2LIBIS (v1.0): A new tool for flexible high resolution radiative transfer computations with libRadtran (version 2.0.5)
Abstract. Atmospheric radiative transfer (RT) models are useful tools to increase understanding of the physical interactions and processes occurring in the atmosphere and surface. In the category of free and open-source models, libRadtran is a widely used and versatile package. However, running high-resolution calculations with libRadtran is often tedious since libRadtran does not include all the required information to run line-by-line executions (i.e., resolving individual spectral lines of gases) in a flexible way under specific atmospheric conditions, meaning that external software is required. This poses a problem for a user since generating necessary files for libRadtran requires familiarity with the topic of molecular spectroscopy in addition to knowing how to use the external software which may not be tailored for producing libRadtran compatible files. In this paper, we present HAPI2LIBIS, a compact software tool intended to be used in close connection with libRadtran to enable easy high-resolution calculations.
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Status: open (until 08 May 2025)
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RC1: 'Comment on egusphere-2025-220', Anonymous Referee #1, 13 Apr 2025
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This manuscript introduces a software tool HAPI2LIBIS to compute absorption cross section of atmospheric gases based on HITRAN dataset, and can provide input file of absorption cross section for libRadtran radiative transfer computations. One of the features is the irregular interpolation method to interpolate absorption cross section at different temperature, pressure and gas concentration grids. Some comments are as follows.
- Line-by-line Radiative Transfer Model (LBLRTM, http://rtweb.aer.com/lblrtm.html) can also compute absorption cross section of gases based on HITRAN dataset, and has been widely used in the atmospheric radiation community. The authors should discuss the differences of the HAPI2LIBIS and LBLRTM in terms of gas absorption cross section calculation, and point out what are the specific strengths of the new-developed HAPI2LIBIS.
- The authors should also discuss more about the computational efficiency aspect of the HAPI2LIBIS if used in radiative transfer computation and remote sensing. Will HAPI2LIBIS be used in any remote sensing retrieval algorithms?
Citation: https://doi.org/10.5194/egusphere-2025-220-RC1
Data sets
Initial version of HAPI2LIBIS with examples Antti Kukkurainen and Antti Mikkonen https://doi.org/10.5281/zenodo.14673990
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