10 Jul 2023
 | 10 Jul 2023
Status: this preprint is currently under review for the journal AMT.

Global evaluation of RTTOV coefficients for early satellites sensors

Bruna Barbosa Silveira, Emma Catherine Turner, and Jérôme Vidot

Abstract. RTTOV coefficients are evaluated using a large, independent dataset of 25,000 atmospheric model profiles as a robust test of the diverse 83 training profiles typically used. The study is carried out for nine historic satellite instruments: IRIS-D, SIRS-B, MRIR and HRIR from the infrared part of the spectrum, and MSU, SSM/I, SSM/T2, SMMR and SSMI/S from the microwave. Simulated channel brightness temperatures show similar statistics between both the independent and the 83 profile datasets, confirming that it is acceptable to validate the RTTOV coefficients with the same profiles used to generate the coefficients. Differences between RTTOV and the line-by-line models are highest in water vapour channels, where mean values can reach up to 0.4 ±0.2 K for the infrared, and 0.04 ±0.13 K for the microwave. Examination of the latitudinal dependence of the bias reveals different patterns of variability between similar channels on different instruments, such as 679 cm−1 on both IRIS-D and SIRS-B, showing the importance of the specification of the ISRF. Maximum differences up to several kelvin are associated with extremely non-typical profiles, such as those in polar or very hot regions.

Bruna Barbosa Silveira et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-125', Anonymous Referee #1, 10 Aug 2023
  • RC2: 'Comment on amt-2023-125', Anonymous Referee #2, 17 Aug 2023
  • RC3: 'Comment on amt-2023-125', Anonymous Referee #3, 29 Aug 2023

Bruna Barbosa Silveira et al.

Bruna Barbosa Silveira et al.


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Short summary
A fast radiative transfer model, used to speed up the full spectral simulation of meteorological satellite channels in weather forecast models, is tested using 25,000 atmospheres modelled. The differences between calculations from the fast model and the high-resolution reference model are examined for 9 historic weather satellite instruments. The study confirms that a reduced set of 83 atmospheric profiles is robust enough to estimate the scale of the differences obtained from the larger sample.