Journal article
Forward modelling low-spectral-resolution Cassini/CIRS observations of Titan
- Abstract:
- The Composite InfraRed Spectrometer (CIRS) instrument onboard the Cassini spacecraft performed 8.4 million spectral observations of Titan at resolutions between 0.5–15.5 cm-1. More than 3 million of these were acquired at a low spectral resolution (SR) (13.5–15.5 cm-1), which have excellent spatial and temporal coverage in addition to the highest spatial resolution and lowest noise per spectrum of any of the CIRS observations. Despite this, the CIRS low-SR dataset is currently underused for atmospheric composition analysis, as spectral features are often blended and subtle compared to those in higher SR observations. The vast size of the dataset also poses a challenge as an efficient forward model is required to fully exploit these observations. Here, we show that the CIRS FP3/4 nadir low-SR observations of Titan can be accurately forward modelled using a computationally efficient correlated-k method. We quantify wavenumber-dependent forward modelling errors, with mean 0.723 nW cm-2 sr-1/cm-1 (FP3: 600–890 cm-1) and 0.248 nW cm-2 sr-1/ cm-1 (FP4: 1240–1360 cm-1), that can be used to improve the rigour of future retrievals. Alternatively, in cases where more accuracy is required, we show observations can be forward modelled using an optimised line-by-line method, significantly reducing computation time.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 4.2MB, Terms of use)
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- Publisher copy:
- 10.1007/s10686-024-09934-y
Authors
- Publisher:
- Springer
- Journal:
- Experimental Astronomy More from this journal
- Volume:
- 57
- Issue:
- 2
- Article number:
- 15
- Publication date:
- 2024-03-21
- Acceptance date:
- 2024-03-01
- DOI:
- EISSN:
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1572-9508
- ISSN:
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0922-6435
- Language:
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English
- Keywords:
- Pubs id:
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1942785
- Local pid:
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pubs:1942785
- Deposit date:
-
2024-04-09
Terms of use
- Copyright holder:
- Wright et al.
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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