2005
DOI: 10.1016/j.pss.2005.01.006
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Methods for the analysis of data from the Planetary Fourier Spectrometer on the Mars Express Mission

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Cited by 54 publications
(44 citation statements)
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“…Adopting the very general formalism of Bayesian analysis, an algorithm for the scientific analysis of individual calibrated PFS measurements has been developed, allowing the simultaneous retrieval of the above mentioned parameters. A full description of the adopted method can be found in Grassi et al (2005). The cases presented in this study were carefully selected imposing a value of chi-square test close to 1 in the selected spectral range of 400-800 cm −1 .…”
Section: Data Set and Treatmentmentioning
confidence: 99%
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“…Adopting the very general formalism of Bayesian analysis, an algorithm for the scientific analysis of individual calibrated PFS measurements has been developed, allowing the simultaneous retrieval of the above mentioned parameters. A full description of the adopted method can be found in Grassi et al (2005). The cases presented in this study were carefully selected imposing a value of chi-square test close to 1 in the selected spectral range of 400-800 cm −1 .…”
Section: Data Set and Treatmentmentioning
confidence: 99%
“…Black curves: single spectra measured by PFS. Colored curves: synthetic spectra computed by the algorithm for the scientific analysis of individual calibrated PFS measurements, developed by Grassi et al (2005). Black arrows indicate the CO 2 Q-branches.…”
Section: Data Set and Treatmentmentioning
confidence: 99%
See 1 more Smart Citation
“…The CO 2 isotopic bands can vary in intensity, depending on the local climate. We reproduced this behavior by using a radiative transfer model (Grassi et al, 2005), obtaining a synthetic spectrum (A) that is used to remove the isotopic bands from the observed spectrum (D). In order to account for the real conditions of observation, for each SW average spectrum we used the corresponding LW spectra to extract the actual vertical temperature profiles to be used in the model.…”
Section: [Figure 2]mentioning
confidence: 99%
“…3). Applying the retrieval algorithm described by Grassi et al (2005), we computed the atmospheric dust loading (integrated  at 1100 cm -1 ) from the PFS-LW data. If the 3.9 m band was due to the atmospheric dust, we should expect band depth to increase with increasing  a trend not evident in Fig.…”
Section: [Figure 2]mentioning
confidence: 99%