The CRTM transmittance coefficient package

Patrick Stegmann; Benjamin Johnson; Isaac Moradi; Bryan Karpowicz; Will McCarty; Haixia Liu; Suryakanti Dutta; Thomas Auligné

doi:10.1016/j.jqsrt.2025.109380

The CRTM transmittance coefficient package

Patrick Stegmann, Benjamin Johnson, Isaac Moradi, Bryan Karpowicz, Will McCarty, Haixia Liu, Suryakanti Dutta, Thomas Auligné

Joint Center for Satellite Data Assimilation

Research output: Contribution to journal › Article › peer-review

Abstract

The CRTM transmittance coefficient generation package is a high-performance computing workflow to generate spectral and transmittance coefficients for the JCSDA Community Radiative Transfer Model (CRTM), which is used as an observation operator in satellite data assimilation applications. The characteristics of new instruments, whose observations are modeled by the CRTM, are encapsulated in these aforementioned coefficient data structures. This approach is a key factor in achieving the necessary high computational speeds with the CRTM. Complex atmospheric transmittance spectra in particular are approximated using the ODPS and ODAS algorithms. The transmittance coefficient generation package for the first time provides a unified and reproducible workflow to CRTM generate coefficients.

Original language	English
Article number	109380
Journal	Journal of Quantitative Spectroscopy and Radiative Transfer
Volume	336
DOIs	https://doi.org/10.1016/j.jqsrt.2025.109380
State	Published - Apr 2025

Keywords

Gas absorption
Infrared radiation
Microwave radiation
Radiative transfer
Transmittance
Visible radiation

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10.1016/j.jqsrt.2025.109380

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title = "The CRTM transmittance coefficient package",

abstract = "The CRTM transmittance coefficient generation package is a high-performance computing workflow to generate spectral and transmittance coefficients for the JCSDA Community Radiative Transfer Model (CRTM), which is used as an observation operator in satellite data assimilation applications. The characteristics of new instruments, whose observations are modeled by the CRTM, are encapsulated in these aforementioned coefficient data structures. This approach is a key factor in achieving the necessary high computational speeds with the CRTM. Complex atmospheric transmittance spectra in particular are approximated using the ODPS and ODAS algorithms. The transmittance coefficient generation package for the first time provides a unified and reproducible workflow to CRTM generate coefficients.",

keywords = "Gas absorption, Infrared radiation, Microwave radiation, Radiative transfer, Transmittance, Visible radiation",

author = "Patrick Stegmann and Benjamin Johnson and Isaac Moradi and Bryan Karpowicz and Will McCarty and Haixia Liu and Suryakanti Dutta and Thomas Aulign{\'e}",

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doi = "10.1016/j.jqsrt.2025.109380",

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T1 - The CRTM transmittance coefficient package

AU - Stegmann, Patrick

AU - Johnson, Benjamin

AU - Moradi, Isaac

AU - Karpowicz, Bryan

AU - McCarty, Will

AU - Liu, Haixia

AU - Dutta, Suryakanti

AU - Auligné, Thomas

PY - 2025/4

Y1 - 2025/4

N2 - The CRTM transmittance coefficient generation package is a high-performance computing workflow to generate spectral and transmittance coefficients for the JCSDA Community Radiative Transfer Model (CRTM), which is used as an observation operator in satellite data assimilation applications. The characteristics of new instruments, whose observations are modeled by the CRTM, are encapsulated in these aforementioned coefficient data structures. This approach is a key factor in achieving the necessary high computational speeds with the CRTM. Complex atmospheric transmittance spectra in particular are approximated using the ODPS and ODAS algorithms. The transmittance coefficient generation package for the first time provides a unified and reproducible workflow to CRTM generate coefficients.

AB - The CRTM transmittance coefficient generation package is a high-performance computing workflow to generate spectral and transmittance coefficients for the JCSDA Community Radiative Transfer Model (CRTM), which is used as an observation operator in satellite data assimilation applications. The characteristics of new instruments, whose observations are modeled by the CRTM, are encapsulated in these aforementioned coefficient data structures. This approach is a key factor in achieving the necessary high computational speeds with the CRTM. Complex atmospheric transmittance spectra in particular are approximated using the ODPS and ODAS algorithms. The transmittance coefficient generation package for the first time provides a unified and reproducible workflow to CRTM generate coefficients.

KW - Gas absorption

KW - Infrared radiation

KW - Microwave radiation

KW - Radiative transfer

KW - Transmittance

KW - Visible radiation

UR - https://www.scopus.com/pages/publications/85217552929

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DO - 10.1016/j.jqsrt.2025.109380

M3 - Article

AN - SCOPUS:85217552929

SN - 0022-4073

VL - 336

JO - Journal of Quantitative Spectroscopy and Radiative Transfer

JF - Journal of Quantitative Spectroscopy and Radiative Transfer

M1 - 109380

ER -

The CRTM transmittance coefficient package

Abstract

Keywords

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