Jupiter in the Ultraviolet: Acetylene and Ethane Abundances in the Stratosphere of Jupiter from Cassini Observations between 0.15 and 0.19 μm

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Published 2020 June 3 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Henrik Melin et al 2020 AJ 159 291 DOI 10.3847/1538-3881/ab91a6

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1538-3881/159/6/291

Abstract

At wavelengths between 0.15 and 0.19 μm, the far-ultraviolet spectrum of Jupiter is dominated by the scattered solar spectrum, attenuated by molecular absorptions primarily by acetylene and ethane, and to a lesser extent ammonia and phosphine. We describe the development of our radiative transfer code that enables the retrieval of abundances of these molecular species from ultraviolet reflectance spectra. As a proof-of-concept we present an analysis of Cassini Ultraviolet Imaging Spectrograph (UVIS) observations of the disk of Jupiter during the 2000/2001 flyby. The ultraviolet-retrieved acetylene abundances in the upper stratosphere are lower than those predicted by models based solely on infrared thermal emission from the mid-stratosphere observed by the Composite Infrared Spectrometer (CIRS), requiring an adjustment to the vertical profiles above 1 mbar. We produce a vertical acetylene abundance profile that is compatible with both CIRS and UVIS, with reduced abundances at pressures <1 mbar: the 0.1 mbar abundances are 1.21 ± 0.07 ppm for acetylene and 20.8 ± 5.1 ppm for ethane. Finally, we perform a sensitivity study for the JUICE ultraviolet spectrograph, which has extended wavelength coverage out to 0.21 μm, enabling the retrieval of ammonia and phosphine abundances, in addition to acetylene and ethane.

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1. Introduction

Ultraviolet photons are unable to penetrate the atmosphere of the Earth, and so we need instruments mounted on spacecraft to observe these photons both reflected and emitted by the giant planets. There have been a number of dedicated ultraviolet space telescopes, such as the International Ultraviolet Explorer (IUE), the Hubble Space Telescope (HST), and the Astro 1 and 2 Space Shuttle missions. In addition, ultraviolet spectrographs often form part of larger instrument suites on spacecraft either performing flybys or entering orbit about a giant planet, e.g., the Voyager 1 and 2 tour of the outer solar system, the Cassini mission to Saturn, and the Juno mission currently in orbit about Jupiter.

The ultraviolet reflectance spectrum of Jupiter, observed longward of ∼0.15 μm, is dominated by Rayleigh–Raman scattered sunlight from the species contained within the atmosphere, mainly H2, He, CH4, and NH3. This reflectance spectrum is attenuated by wavelength-dependent absorptions by molecules, with the amount of absorption being governed by the ultraviolet absorption cross section, multiplied by the volumetric abundance at a particular altitude. Therefore, if we can determine the amount of absorption present in a spectrum, i.e., the departures from pure Rayleigh scattering at a particular wavelength, we can retrieve the abundances of the absorbing species. Additionally, aerosols will also scatter light away from and into the line of sight, which could potentially significantly reduce the observed radiance, depending on their properties.

Acetylene and ethane are both products of methane photochemistry in the stratosphere driven by solar irradiation, yet they display very different meridional profiles (e.g., Nixon et al. 2007): acetylene peaks at the equator, while ethane peaks at high to mid-latitudes. This has been attributed to the different lifetimes of the two species, with acetylene having a lifetime of hundreds of days, and therefore responding to short-term atmospheric dynamics, compared to several years for ethane. Melin et al. (2018) characterized the long-term behavior of acetylene and ethane over a period of half a Jovian year using emission features in the mid-infrared, as measured by the TEXES spectrograph (Lacy et al. 2002), and showed that while ethane does not change significantly, consistent with a very long lifetime, acetylene showed significant variability, with the global distribution changing from asymmetric about the equator in 2012 to symmetric in 2017. This shows that acetylene is sensitive to short-term dynamics, such as vertical transport possibly driven by changes in convection in the deeper troposphere.

Acetylene was first discovered in the ultraviolet at Jupiter by Owen et al. (1980), who used observations from the IUE observatory in 1979 and noted the resemblance between broad features in the observed spectrum around 0.17 μm and the acetylene absorption cross section measured in the laboratory. Table 1 summarizes the abundances of acetylene and ethane determined by previous studies in the ultraviolet.

Table 1.  A Summary of Previous Acetylene and Ethane Abundances Derived from Ultraviolet Observations

References Observatory C2H2 (ppb) C2H6 (ppm)
Owen et al. (1980) IUE 22  
Gladstone & Yung (1983) IUE 100 ± 10 6.6 ± 5.3
Wagener et al. (1985) IUE 30 ± 10 2
McGrath et al. (1990) IUE 33.5  
Morrissey et al. (1995) Astro 1 39 ± 3 3 ± 1
  Astro 2 28 ± 3 3 ± 1
Edgington et al. (1998) HST 10–30  
Bétrémieux et al. (2003) HST 40  

Note. These values are estimated to be at ∼80 mbar, but may actually be at higher altitudes—see Section 5.

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The IUE had a spectral coverage between 0.145 and 0.315 μm, and so encompassed absorptions by a wide range of species. Wagener et al. (1985) examined the retrievability of a whole host of methane photochemical products from the ultraviolet Jupiter spectra, including species such as methylacetylene (C3H4) and hydrogen sulphide (H2S), but concluded that only acetylene, ethane, and ammonia could be retrieved with relative confidence. Since this study, improved laboratory measurements of the ultraviolet absorption cross section of ammonia (e.g., Chen et al. 1998; Liang et al. 2007) have enabled its retrieval. Both ammonia and phosphine are tracers of vertical bulk motions in the atmosphere (Fletcher et al. 2009; Li et al. 2017). These species reside in the deep troposphere, but vertical transport, driven by atmospheric convection, moves them above the cloud decks, where they can be observed and subsequently redistributed by atmospheric dynamics.

Edgington et al. (1998, 1999) analyzed ultraviolet spectra obtained using the Faint Object Spectrograph (FOS) mounted on the HST, with wavelength coverage between 0.16 and 0.23 μm, determining abundances for acetylene and ammonia, at around 80 mbar and 120 mbar, respectively (see Table 1). Using a photochemical model, they calculated the eddy diffusion coefficient of ammonia, a measure of the strength of the vertical mixing. They found that the ammonia abundances varied with latitude, suggesting that the vertical mixing is dependent on latitude. At wavelengths longer than 0.21 μm, they noted that the inclusion of Raman scattering and an unknown continuum absorber are required to explain a set of features at these wavelengths.

A subset of the HST FOS data set was revisited by Bétrémieux et al. (2003). Their modeling required an ethane abundance of 150 ppb at 120–300 mbar in the upper troposphere, disagreeing with previous measurements in the ultraviolet (see Table 1) and disagreeing with observations in the mid-infrared. This issue may in part be driven by the FOS red leak, which increases noise at wavelengths where ethane is absorbing. They concluded that near-simultaneous observations in both the ultraviolet and the mid-infrared may be required to investigate whether the two wavelength regions produce truly compatible results. It is a challenge that motivates the present study.

The ultraviolet wavelength range can also be used to measure the atmospheric attenuation of either sunlight or starlight during occultation (e.g., see Smith & Hunten 1990). Greathouse et al. (2010) analyzed ultraviolet stellar occultation observations of Jupiter obtained during the New Horizon flyby in 2007, deriving abundances of methane, acetylene, and ethane at pressure levels of 1–10 μbar. They derived a different altitude of the methane homopause than the Voyager 2 results of Festou et al. (1981), suggesting long-term changes in the vertical mixing.

The Astro 1 and Astro 2 missions flown on board the Space Shuttle (Columbia in 1990 and Endeavour in 1995, respectively), carried the Hopkins Ultraviolet Telescope (HUT), an instrument with wavelength coverage between 0.145 and 0.185 μm. From observations of the equatorial region of Jupiter, Morrissey et al. (1995) retrieved abundances of acetylene and ethane in the stratosphere. They included diacetylene (C4H2) as a free parameter in their fitting procedure, but were unable to unambiguously detect its presence in the Astro HUT spectra.

Here, we describe the development of our radiative transfer code to be able to model and retrieve atmospheric abundances from ultraviolet reflectance spectra. We then apply this model to observations of Jupiter by the Cassini Ultraviolet Imaging Spectrograph (UVIS), comparing them to results derived from mid-infrared observations acquired during the same time period. Finally we discuss how this model can be applied to data taken by current and future spacecraft missions.

2. NEMESIS Development and Modeling

We employ the NEMESIS radiative transfer and atmospheric retrieval code (Irwin et al. 2008) to model the ultraviolet reflectance spectra of Jupiter. This code has two basic operational modes: (a) the forward model—given a set of atmospheric abundance and temperature profiles it will calculate the resulting spectrum at the top of the atmosphere, and (b) the retrieval—given an observed spectrum, NEMESIS will calculate the atmospheric profiles that are consistent with the observations, using optimal estimation to iterate toward the solution (Rodgers 2000).

NEMESIS calculates multiple scattering via a matrix operator approach (Plass et al. 1973), also known as doubling-and-adding, alongside Rayleigh scattering from the jovian gases. We used five zenith angles and N Fourier components to cover the azimuth variation, where N is set adaptively from the viewing zenith angle, θ, as N = int(θ/3). NEMESIS employs the plane-parallel approximation while using the solar and viewing zenith angles and azimuth angles calculated for the observed point on the planet (e.g., Dahlback & Stamnes 1991).

In the absence of molecular absorption and scattering by aerosols, the ultraviolet spectrum will display a solar reflection, governed by Rayleigh scattering. However, there are a number of constituents in the atmosphere that absorb ultraviolet light, and the abundances and the ultraviolet absorption cross sections of these species determine the amount of absorption. Additionally, aerosols in the atmosphere of Jupiter will absorb and scatter light from the observer's line of sight, acting as to reduce the observed radiance. Because this region is strongly dominated by Rayleigh scattering of the solar spectrum, there are no molecular emissions included in these calculations, and so neither the correlated-k approximation or line-by-line calculations are used.

This study required development of the core NEMESIS code in the following ways: adding a high-resolution ultraviolet solar spectrum, adding ultraviolet absorption cross sections, and creating a means by which to toggle the absorbing species in our retrieval code. These developments are outlined in greater detail below.

2.1. Solar Spectrum

At infrared wavelengths the solar reference spectrum of Chance & Kurucz (2010) provides the spectral resolution required for accurate modeling of reflectance spectra. However, at ultraviolet wavelengths this spectrum is much too coarse for accurate calculations of Rayleigh scattering. We added the reference spectrum of Woods et al. (2009), shown as the red dotted line in Figure 1, providing wavelength coverage between 0.0001 and 0.240 μm at a spectral resolution of 0.1 nm, which is higher than the spectral resolution of the data set used in this study (described in more detail in Section 3) and so is appropriate for use here. NEMESIS convolves the solar spectrum to the resolution of the observation in question and computes the Rayleigh scattering using the formulation of L. A. Sromovsky (2020, private communication) and considering scattering from H2, He, CH4, and NH3.

Figure 1.

Figure 1. The ultraviolet absorptions cross sections relevant to this study: acetylene, ethane, ammonia, and phosphine, with the respective references listed in Table 2. When available, the cross sections at different temperatures are shown. The spectral luminosity of the high-spectral-resolution solar reference spectrum of Woods et al. (2009) is shown as the red dotted line (using the right-hand axis).

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2.2. Ultraviolet Absorption Cross Section

The Rayleigh-scattered sunlight is attenuated by absorption by the molecular species present in the atmosphere and by scattering by aerosols. The amount of absorption by each species is a function of abundance and the wavelength-dependent ultraviolet absorption cross section. The larger the cross section, the larger the absorption of light and the lower the observed radiance becomes. The cross sections that were added to the NEMESIS code are listed in Table 2, and the ones relevant for the current study are plotted as a function of wavelength in Figure 1. The cross sections were sourced from the database of Keller-Rudek et al. (2013).4

Table 2.  Sources of the Measured Ultraviolet Absorption Cross Sections Included in the Updated NEMESIS Radiative Transfer and Retrieval Code, Listing the Molecular Species, Source Reference, Temperature (T) and Wavelength Coverage

Molecule Reference T (K) Coverage (μm)
C2H2 (acetylene) Smith et al. (1991) 195 0.137 → 0.190
C2H2 Smith et al. (1991) 295 0.137 → 0.190
C2H2 Bénilan et al. (2000) 195 0.190 → 0.225
C2H2 Bénilan et al. (2000) 295 0.190 → 0.225
C2H6 (ethane) Lee et al. (2001) 295 0.120 → 0.160
NH3 (ammonia) Liang et al. (2007) 300 0.140 → 0.226
PH3 (phosphine) Chen et al. (1991) 155 0.127 → 0.200
PH3 Chen et al. (1991) 295 0.120 → 0.230
H2O (water) Burkholder et al. (2015) 298 0.120 → 0.200
CH4 (methane) Chen et al. (1991) 295 0.120 → 0.142
CO (carbon monoxide) Chan et al. (1993) 298 0.010 → 0.180
C4H2 (diacetylene) Ferradaz et al. (2009) 295 0.110 → 229
GeH4 (germane) Chen et al. (1991) 295 0.114 → 0.180
C3H8 (propane) Au et al. (1993) 298 0.05 → 0.155

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The temperature of the troposphere and stratosphere of Jupiter ranges between 100 and 200 K (e.g., see Figure 3). The temperature range of the cross-section measurements in Table 2 and Figure 1 is between 155 and 300 K, effectively making them single-temperature measurements when applied to the atmosphere of Jupiter. Both acetylene and phosphine have cross-section measurements at two temperatures, and the difference between the two temperatures is very slight for each of these species (see Figure 1). If a temperature at a particular pressure level is in between the two temperatures that the cross sections were measured at, we interpolate between the two values. The lack of low-temperature ultraviolet cross sections highlights that there is plenty of scope for further experimental work.

The cross section of ethane merits a closer examination. The most recent measurements beyond 0.15 μm are those of Lee et al. (2001). However, these authors do not tabulate these values, opting only to plot them (bold line in Figure 1 in their paper). The values of Lee et al. (2001) are tabulated in Table 4 in Chen & Wu (2004). However, there are two anomalous spectral features listed in Chen & Wu (2004) that are not present in the original study of Lee et al. (2001): one peak at 0.155 μm and one at 0.157 μm. These are shown in Figure 2, along with the measured cross sections from Mount & Moos (1978), Okabe & Becker (1963), and Watanabe et al. (1953). The two peaks indicated by the arrows are unlikely to be physical since Lee et al. (2001) state that the ethane cross sections they measure are nearly identical to those of Mount & Moos (1978), from which the features at 0.155 and 0.157 μm are also absent, and they disagree wildly with all previous measurements. It turns out that these two cross sections have erroneous exponents, making them too large by a factor of 10 (R. Wu 2020, private communication). The correct values are listed in Table 3.

Figure 2.

Figure 2. The ultraviolet absorption cross section of ethane between 0.15 and 0.16 μm from four different experiments. The arrows indicate the location of the anomalous data points listed in Chen & Wu (2004), which purports to list the results of Lee et al. (2001). These are both inconsistent with the plots in Lee et al. (2001) and with previous measurements. The correct values for the ethane cross section are listed in Table 3.

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Table 3.  The Corrected Tabulation of Lee et al. (2001) (Robert Wu, Private Communication)

Wavelength (nm) Cross section (cm−2) Wavelength (nm) Cross section (cm−2)
120 2.3 × 10−17 140 6.5 × 10−18
121 2.2 × 10−17 141 4.0 × 10−18
122 2.3 × 10−17 142 4.6 × 10−18
123 2.1 × 10−17 143 2.8 × 10−18
124 2.3 × 10−17 144 2.4 × 10−18
125 2.4 × 10−17 145 2.2 × 10−18
126 2.6 × 10−17 146 1.9 × 10−18
127 2.5 × 10−17 147 1.7 × 10−18
128 1.9 × 10−17 148 1.3 × 10−18
129 1.8 × 10−17 149 9.8 × 10−19
130 2.7 × 10−17 150 7.0 × 10−19
131 2.5 × 10−17 151 5.0 × 10−19
132 2.8 × 10−17 152 3.0 × 10−19
133 2.3 × 10−17 153 2.1 × 10−19
134 2.3 × 10−17 154 1.0 × 10−19
135 1.8 × 10−17 155 5.0 × 10−20
136 1.9 × 10−17 156 2.0 × 10−20
137 1.2 × 10−17 157 7.5 × 10−21
138 1.2 × 10−17 158 2.2 × 10−21
139 6.0 × 10−18 159 6.6 × 10−22
    160 2.0 × 10−22

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2.3. Aerosols

For ultraviolet observations of Jupiter's stratosphere, aerosols have been shown to play an important role (e.g., Axel 1972), and can significantly alter the shape of the observed spectrum. Here, we use the aerosol properties derived by Edgington et al. (1998), consistent with their HST FOS observations: a particle size of 0.3 μm distributed with a variance of 0.05 μm, a refractive index of 1.4 + 0.3i, and an optical depth of unity at 1 bar. This particle size is also consistent with Tomasko et al. (1986), who analyzed observations of Jupiter obtained longward of 0.22 μm from the IUE. The base of the vertical distribution is at 10 mbar, with a fractional scale height of 1.

The extinction cross section and single-scattering albedo (as a function of wavelength) of the aerosols were calculated using Mie theory (e.g., Hansen & Travis 1974), and from these optical properties and vertical distribution we calculate the phase behavior for the aerosols, represented by double Henyey–Greenstein scattering functions.

In Section 4.2 we explore the aerosol properties to which Jupiter's reflectance spectrum is sensitive.

2.4. Raman Scattering

In addition to Rayleigh scattering, solar photons can also undergo Raman scattering, in which a photon exchanges energy with a molecule, emerging with a wavelength either longer or shorter than the original one. The shift in wavelength is governed by the rotational and vibrational states available in the scattering molecule—mainly molecular hydrogen in the atmospheres of the giant planets (e.g., Sromovsky 2005).

Edgington et al. (1999) and Bétremieux & Yelle (1999) showed that there are strong spectral features longward of 0.21 μm present in HST FOS spectra that are attributable to Raman scattering. At wavelengths shorter than 0.21 μm, Raman scattering contributed only 2%–3% of the total signal, whereas longward of 0.21 μm it contributes 3%–6%. The Cassini UVIS wavelength coverage ends at ∼0.19 μm and has an uncertainty in the radiance significantly larger than the contribution of Raman scattering calculated by Bétremieux & Yelle (1999). Therefore we do not include Raman scattering in the present study. However, in scenarios where the uncertainty of the data is considerably lower and when the wavelength coverage extends beyond 0.21 μm, Raman scattering needs to be included to achieve accurate and physical retrievals

2.5. Reference Atmosphere

The Cassini Composite Infrared Spectrometer (CIRS, Flasar et al. 2004) provided near-simultaneous observations of Jupiter's atmosphere to those of Cassini UVIS. From these, vertical profiles of temperature and abundances of, among others, acetylene, ethane, ammonia, and phosphine have been retrieved (Nixon et al. 2010; Fletcher et al. 2016). The vertical abundance and temperature profiles derived by CIRS at the equator of Jupiter are shown in Figure 3. Acetylene and ethane both peak at about 10 μbar, while both ammonia and phosphine peak at pressures >1 bar and are completely absent by 100 mbar due to condensation and photochemistry. The Cassini CIRS instrument peaks in sensitivity to acetylene at about 10 mbar, and to ethane at about 5 mbar (Nixon et al. 2010).

Figure 3.

Figure 3. The equatorial a priori vertical profiles of acetylene, ethane, ammonia, phosphine, and temperature used in this study. These were obtained from observations by the Cassini CIRS instrument during the Jupiter flyby (Nixon et al. 2010; Fletcher et al. 2016). The quasi-quadrennial oscillation (QQO) is clearly visible in the stratospheric temperature profile at pressures <10 mbar.

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The infrared and ultraviolet Cassini observations of Jupiter were obtained at about the same time, and so we can use the CIRS profiles to generate NEMESIS forward models in the ultraviolet wavelength range and to make a prediction of what we may expect an ultraviolet spectrum to appear like, and this enables us to rule out temporal effects between the two data sets. This is described in the next section.

2.6. Forward Models

Using the equatorial profiles obtained by Cassini CIRS, shown in Figure 3, we can generate NEMESIS forward models that calculate the observed spectrum emanating from the top of the atmosphere in the far-ultraviolet (FUV) wavelength range. Figure 4(a) shows the modeled radiance between 0.15 and 0.21 μm for different combinations of molecular absorbers, from Rayleigh scattering alone to the inclusion of all the different relevant species: acetylene, ethane, ammonia, and phosphine. It shows that acetylene absorption dominates between 0.15 and 0.19 μm (red and blue curves), with distinct repeating features between 0.17 and 0.18 μm. In the narrow region at ∼0.155 μm ethane creates a sharp and distinct absorption feature (indicated as A). At wavelengths longer than 0.19 μm the spectrum is dominated by ammonia absorption, with phosphine making a minor contribution over the entire spectral range (green and orange curves).

Figure 4.

Figure 4. (a) Five NEMESIS forward models of Jupiter, between 0.15 and 0.21 μm, showing how the absorption features of acetylene, ethane, ammonia, and phosphine all add so as to reduce and attenuate the Rayleigh-scattered sunlight. The vertical dashed line indicates the end of the wavelength coverage of Cassini UVIS (0.19 μm), while JUICE UVS has coverage out to 0.21 μm. The red arrow (A) indicates the distinct ethane absorption feature at 0.155 μm. Note that the blue and red lines coincide with each other for most of the spectral range. (b) The change in radiance produced by modeling the absorption of individual species compared to the case of Rayleigh scattering only. The change in radiance broadly reproduces the shape of the absorption cross sections in Figure 1, as expected.

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The forward models in Figure 4(a), using vertical profiles from CIRS, provide an expectation of what ought to be observed in an actual FUV spectrum from Jupiter. The predicted absorption features are significant, and so we may expect to be able to retrieve abundances of some or all of these species. In the next sections, we will put this to the test by analyzing ultraviolet Cassini observations of Jupiter.

Figure 4(b) shows the percentage reduction in radiance of a forward model with absorption by a single species turned on in NEMESIS compared to the case of Rayleigh scattering only. It shows that the radiance is reduced according to the ultraviolet cross section of each species (Figure 1). This indicates that the NEMESIS implementation is working as expected.

The spectral feature seen at 0.155 μm in Figure 4(a) is a signature of ethane. However, propane (C3H8) has a large ultraviolet cross section with a shape very similar to that of ethane (dotted black line in Figure 1), and so the presence of propane in Jupiter's stratosphere could potentially adversely affect the retrieval of the ethane abundance. We investigate the effect of propane by producing three NEMESIS forward models centered near the 0.155 μm ethane feature. The first model contains the abundance of ethane from the reference atmosphere (Figure 3) and the vertical abundance of propane from Moses et al. (2005). In the second model, propane is enhanced, multiplied by 1.5 at all altitudes, and in the third model ethane is enhanced by a factor 1.5 at all altitudes. The results of these models are shown in Figure 5. It shows that enhancing propane has a minimal effect on the spectrum, reducing it by 2% at 0.155 μm. The ethane-enhanced atmosphere produces a significant reduction in the observed radiance, reducing it by 30% at 0.155 μm. Since the 0.155 μm feature is clearly dominated by the abundance of ethane, propane is not included in the subsequent analysis.

Figure 5.

Figure 5. The effects of enhancing the abundance of ethane and propane by 50% in the NEMESIS forward models. Propane has a minimal effect on the observed spectrum, and the feature at 0.155 μm is dominated by ethane absorption.

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3. Cassini Observations

In late 2000 the Cassini spacecraft approached Jupiter to receive a gravity assist en route to Saturn—the trajectory in the Jupiter–Sun frame is shown in Figure 6, as seen from above the north pole of the planet. During this interval all the remote sensing instruments on board Cassini obtained images and spectra of the planet, from the mid-infrared, through the visible, to the extreme ultraviolet.

Figure 6.

Figure 6. The trajectory of Cassini in the Jupiter–Sun frame during the flyby in 2000, as seen from above the north pole of the planet. This study examines two sets of Cassini UVIS data: (a) data obtained at local noon at very low spatial resolution but at high spectral resolution, and (b) observations with the highest spatial resolution obtained at closest approach to Jupiter, at reduced spectral resolution. The arrows along the orbit of Cassini are separated by two weeks (∼34 Jupiter rotations).

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The Cassini Ultraviolet Spectrograph (UVIS, Esposito et al. 2004) contains two spectrographs, one covering the extreme ultraviolet, the other the FUV. The FUV channel has spectral coverage between 0.11 and 0.19 μm over 1024 spectral pixels, and a spectral resolution of 0.25 nm. The 64 spatial pixels cover 1 × 1.5 mrad each, and extended two-dimensional spatial coverage is built up by scanning the slit across the object. In this manner a spectral cube can be generated, with two spatial dimensions and one spectral dimension. By applying the Navigation and Ancillary Information Facility spacecraft pointing code (Acton 1996), we calculated the pointing geometry for any particular pixel at any particular time, retrieving parameters such as latitude, longitude, emission angle, solar phase angle, and solar incidence angle.

The Cassini UVIS data are available5 on the Planetary Data System (PDS), with the Jupiter encounter covered in archives couvis_0001 and couvis_0002. The sensitivity of the UVIS FUV detector changed over the duration of the Cassini mission, and this is encapsulated in the UVIS calibration routines. We applied the latest version (Version 4) of the calibration software available on the PDS. The software calibrates the data to units of angular surface brightness (kR Å−1), while our retrieval code expects units of spectral radiance (W cm−2 sr−1 μm−1). We apply the unit conversion in the following manner:

Equation (1)

where I is the spectral radiance (in W cm−2 sr−1 μm−1), B is the surface brightness (in kR Å−1), λ is the wavelength (in Å), h is Planck's constant, and c is the speed of light.

Figure 7 shows two spectra acquired by UVIS while Cassini was at local noon. The black line shows the equatorial reflectance spectrum, increasing in radiance toward longer wavelengths, while the orange line shows H2 Lyman and Werner band emission excited by auroral electrons at the north pole, with a very small solar reflectance component. Both spectra contain strong H Lyα emission, omnipresent about the Jupiter system (e.g., see Yelle 1988; Melin & Stallard 2016). There is evidence of very low-level emission from H2 in the equatorial spectrum, which is due either to some of the pixels containing polar emissions or to a small population of electrons capable of exciting atomic hydrogen at low latitudes. The gray line in Figure 7 shows the presence of so-called evil pixels, which are pixels that have a response to illumination that is unpredictable, and they are removed in this analysis. For a detailed description of the extraction and calibration of the Cassini UVIS PDS data see the Cassini UVIS User's Manual contained within the couvis_0060 archive.

Figure 7.

Figure 7. The observed equatorial (black) and polar (orange) spectra of Jupiter observed in the far-ultraviolet by Cassini UVIS. The gray line shows the spectrum including the bad pixels, which were processed out to produce the final spectrum in black. Note that at high latitudes the auroral spectrum will add to the solar reflectance spectrum at around 0.16 μm.

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The uncertainty in the brightness observed by Cassini UVIS is calculated by the calibration routines provided on the PDS, and examples are provided in the User's Manual. The uncertainty on the radiance varies across the detector array, but does not vary as a function of the integration time, which one may expect if the errors are dominated by counting statistics. Here, we use observations with integration times of 60 and 67 s (see the following sections). We assume that the errors from the calibration routine are appropriate for these exposure times, then propagate the errors when combining observations as appropriate. The resulting errors on the observed radiance appear sensible given the noise seen in the UVIS spectra.

Here we will consider two set of UVIS observations with Cassini positioned (a) at local noon at a distance of 250 RJ and (b) at closest approach to the planet at a distance of 137 RJ. The former provides a low-phase view of Jupiter, akin to what is observed from Earth, and the latter provides the view with the highest spatial resolution, albeit at high phase angles. The locations of Cassini at local noon and at the time of closest approach to Jupiter are indicated as dots in Figure 6. Observations from these vantage points are detailed in the next two sections.

3.1. UVIS Data at Local Noon

On day 2000-348 Cassini was positioned at Jupiter's local noon, as illustrated in Figure 6. On the following days 2000-349 and 2000-350 UVIS acquired spectra at a distance of 250 RJ, with the slit aligned along the rotational axis. During this interval Jupiter subtended 5 spatial pixels. We added 167 individual spectral pixels obtained at full 1024 pixel spectral resolution, contained between −20° and +20° latitude, from local times between 11 and 13 for a total integration time of 2.7 hr (60 s per pixel), to produce a single FUV spectrum with a good signal-to-noise ratio (S/N) of ∼20.

3.2. UVIS Data at High Phase

At closest approach, at a distance of 137 RJ, the planet is contained within 24 spatial pixels. UVIS had the lowest spatial resolution of any of the remote sensing instruments on board Cassini, but the time-frame of closest approach provides an opportunity to examine whether latitudinal differences in abundances can be inferred from the UVIS data.

The slit was aligned along the equator of Jupiter, and the spacecraft slewed along the rotational axis to build up a complete scan of the disk of Jupiter. A number of scans were performed at 512 pixel reduced spectral resolution, as the spacecraft receded from the Jupiter system, but the first one obtained on 2001-001 provides the view of the system with the lowest phase, with an exposure time of 67 s per scan position.

The scan of Jupiter is shown in Figure 8(a), integrated in wavelength between 0.15 and 0.19 μm, so that each pixel represents an individual spectrum. The Sun is located toward the left in the figure. The dark line in the middle of the scan is a pixel position that is poorly calibrated, and it is excluded from this analysis. Both the northern and southern equatorial belts are visible and there is a clear dependence of the observed emission on the solar angle. The excited H2 component of the auroral emission (at 0.16 μm, see Figure 7) is visible at the south pole in particular.

Figure 8.

Figure 8. A comparison between the Cassini UVIS data obtained on 2001-001 02:53 and the NEMESIS forward models using the Cassini CIRS vertical profiles as input, with north being up. The top row shows the data and the forward model where scattering and absorption from all species are turned on, (c) shows Rayleigh scattering only, without any molecular absorption, and (d)–(g) show the scattering with only one species turned on, as indicated.

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4. Results

We have updated the NEMESIS radiative transfer code to model and retrieve atmospheric abundances from ultraviolet reflectance spectra, and we have identified a set of FUV observations against which we can test these model developments. In this section we will apply the code to the Cassini UVIS Jupiter observations. First, we will examine how well NEMESIS forward models, using the available CIRS profiles, can reproduce the disk-resolved UVIS observations obtained during Cassini closest approach. Second, by retrieving atmospheric parameters from a set of synthetic spectra generated by adding random noise to forward models, we will determine how sensitive the code is to abundances of different species. Third, we calculate the two-way transmission function, which reveals the pressures in the atmosphere to which the code is broadly sensitive. Lastly, we perform hypothesis testing to examine whether there are a set of atmospheric profiles that are consistent with both the CIRS and UVIS observations.

4.1. Disk-resolved Forward Models

As a first step, we ask: how well can we reproduce the UVIS observations using the vertical profiles of temperature and abundance that CIRS derived as a function of latitude?

The spatially resolved UVIS observations obtained during closest approach can be seen in Figure 8(a). We generate a set of forward models with different molecular absorptions turned on, based on the UVIS spectral range and spectral resolution, specifying the phase, emission, and incidence angle of each pixel. The CIRS profiles form the input atmosphere, using the set of vertical profiles appropriate for each latitude. The wavelength-integrated output of these forward models is seen in Figure 8.

Figure 8(c) shows Rayleigh scattering only, rendering Jupiter as a smooth sphere. This uniformity shows that the scattering is independent of temperature, since the CIRS profiles have temperatures that vary with latitude (e.g., Fletcher et al. 2016). Figure 8(d) shows Rayleigh scattering combined with ammonia absorption, showing bright bands below and above the equator. Here, a bright band indicates less absorption and less ammonia, and so the ammonia abundance is higher at the equator than at mid-latitudes. The phosphine absorption is shown in Figure 8(e), with some minor latitudinal depletions, particularly at northern mid-latitudes. Figures 8(f) and (g) show the absorption by acetylene and ethane respectively, both of which show asymmetric abundances, with the latter being integrated between 0.154 and 0.156 μm. The bright South Equatorial Belt (SEB) indicates lower abundances for both species. Finally, Figure 8(b) shows the combination of Rayleigh scattering and absorption from all four species, replicating the UVIS observations in Figure 8(a) relatively well. In particular, the forward models manage to reproduce the observed asymmetry between the radiances of the North Equatorial Belt (NEB) and the SEB. There are more significant differences at higher latitudes, however. The scattering by stratospheric aerosols becomes greater at these locations. Since this is not encapsulated in the forward models we make no attempt to include the aerosols, resulting in an overestimation of the radiance.

The data and forward models in Figure 8 qualitatively show that there is significant information about atmospheric abundances of acetylene, ethane, ammonia, and phosphine contained within the UVIS wavelength range. In the next section we will quantify the extent to which these abundances can be retrieved from UVIS observations.

4.2. Sensitivity to Aerosols

In the ultraviolet, aerosols act as to absorb and scatter the light away from and toward the observer, potentially significantly reducing the observed radiance. To investigate whether the code is sensitive to any particular aerosol property we devise a sensitivity test, retrieving scaled vertical abundances of acetylene, ethane, phosphine, ammonia, and aerosols for a range of different aerosol properties. Figure 9 shows the retrieved goodness-of-fit parameter, χ2, for a range of imaginary refractive indices and aerosol particle sizes between 0.001 and 3 μm, with a base pressure of 10 mbar and a fractional scale height of 1. Despite this large parameter space, there is very little change in χ2, with a maximum change of 2%. Consequently, while we require some form of aerosol distribution to achieve good retrievals, particularly at high latitudes (e.g., Figure 8(a)), we cannot determine the exact physical properties of the aerosols. However, as we will show in the following sections, the simple assumptions about the aerosol properties outlined in Section 2.3 are sufficient to produced good fits to the observed Cassini UVIS spectrum: a single particle size of 0.3 μm, refractive index of 1.4 + 0.3i, and an optical depth of one at 1 bar, with an aerosol base pressure of 10 mbar and a fractional scale height of 1.

Figure 9.

Figure 9. The retrieved goodness-of-fit, χ2, as a function of aerosol imaginary refractive index and particle size. In these retrievals, the scaled aerosol abundances are retrieved so as to achieve a good fit to the observed spectrum. χ2 varies by less than 2%, indicating that the ultraviolet is insensitive to these two parameters.

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4.3. Cassini UVIS Retrievability Study

Figure 8 shows that there are absorption features of acetylene, ethane, ammonia, and phosphine present in the forward models. However, the goal of this study is to retrieve these abundances from observed UVIS spectra, and the degree to which we are able to do so is determined by an interplay between the Rayleigh-scattered solar spectrum, the different molecular absorption features, aerosol scattering, and, most importantly, S/N of the observed spectrum. To test the degree to which we can retrieve abundances from UVIS spectra, we devise a sensitivity study.

We generate 1000 NEMESIS forward models in the UVIS spectral range and at the same spectral resolution, using the equatorial CIRS profiles (see Figure 3) as a starting atmosphere. For each, the vertical abundance profiles of acetylene, ethane, ammonia, phosphine, and aerosols are each scaled by random values between 0 and 5 for each forward model. The outputs of these forward models represent idealistic observations, and to simulate real data we add noise across each spectrum equivalent to S/N of a typical UVIS observation. We then retrieve the abundance scaling using NEMESIS. The correlation between the original scaling and the retrieved scaling then gives us a measure of the retrievability of each species. This is shown in Figure 10.

Figure 10.

Figure 10. A retrieval sensitivity study for the Cassini UVIS FUV channel with wavelength coverage up to 0.19 μm, showing the input abundance scaling of the vertical profiles vs. the scaling retrieved using NEMESIS, as described in Section 4.3. We are unable to retrieve ammonia and phosphine, but can with confidence retrieve the abundance of acetylene and aerosols, and to a lesser extent the ethane abundance. The dashed line shows the expected trend when the sensitivity to retrieve a particular species is optimal.

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When we have good sensitivity to the abundance of a particular species, the retrieved scaling will be the same as the input scaling, and the 1000 retrievals will form a diagonal line, shown as a dashed line in Figure 10. Here, we see that we are able to achieve excellent sensitivity to acetylene (Figure 10(a)), with the retrieved values falling on to the diagonal line, with an error on the retrieved scaling of ∼2%. We are only moderately sensitive to ethane (Figure 10(b)), primarily because the ethane feature is confined to a narrow wavelength region (A in Figure 4(a)), producing an error of ∼20% on the retrieved scalings. Figures 10(c) and (d) show the sensitivity for ammonia and phosphine, both of which have a flat distribution of retrieved scalings hovering about one, both with an error of ≥100%. This means that UVIS is effectively blind to variations in these species and unable to provide the required contrast. The aerosol sensitivity in Figure 10(e) shows an excellent agreement between the input and retrieved scaling with a scaling error of ∼2.5%. However, since there is degeneracy between many different aerosol properties (e.g., particle size, optical depth, altitude), the aerosol scaling does not offer any physical insight into their specific properties, only that they attenuate the radiance uniformly across the UVIS spectral range.

4.4. Optical Depth of the UVIS Spectrum

The previous section demonstrated that we can retrieve acetylene and ethane abundances and aerosol attenuation from Cassini UVIS spectra. What pressure levels in the atmosphere of Jupiter is Cassini UVIS sensitive to? The optical depth, shown in Figure 11, can be calculated as the natural logarithm of the two-way transmission function for aerosol-free conditions, which in turn can be generated by the NEMESIS code. Note that this calculation does not include multiple scattering, in which case τ = 1 provides the altitude of the peak sensitivity. However, if incoming photons undergo multiple scattering, governed by the single-scattering albedo, then they can penetrate to lower altitudes before being absorbed. In addition, some of them will scatter back out of the atmosphere along the line of sight of the observer, providing a source to offset absorptions in the atmosphere. Therefore, in the presence of multiple scattering the τ = 1 level in Figure 11 provides a measure of the top of the region that the ultraviolet photons originate from, with the lower bound being at lower altitudes, approximately τ ∼ 3. A more robust way to determine the range of altitudes that UVIS is sensitive to is to determine the contribution function, which is not trivial to extract and is dependent on the model chosen for the aerosol absorption and scattering, and is outside the scope of the present study.

Figure 11.

Figure 11. The cumulative extinction optical depth of the Cassini UVIS spectrum as a function of wavelength and pressure, as calculated from the two-way transmission function. This includes Rayleigh scattering and absorption from acetylene, ethane, ammonia, and phosphine. The dashed line shows where the optical depth equals unity, and the dotted line shows where the optical depth is 3.

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The optical depth reaches unity at around 10 mbar, and there are peaks throughout the spectral range at which the atmosphere becomes increasingly opaque at pressures less than 1 mbar. These peaks are produced by corresponding peaks in the acetylene absorption cross section, and give rise to spectral regions with a peak sensitivity at around 1 mbar. Similarly, the slope of ethane absorption is located around 0.155 μm (see Figure 4(a)), where the optical depth reaches unity at ∼5 mbar, representing the top of the altitude sensitivity of UVIS.

Figure 11 shows that wavelength regions with large molecular absorption cross sections sample higher altitudes in the atmosphere. However, what altitudes does pure Rayleigh scattering sample? To test this, we generated the two-way transmission function as before, but with the ultraviolet molecular absorptions turned off—this is shown in Figure 12. Rayleigh scattering samples pressures less than tens of millibar, and moves to greater pressures with increasing wavelength. At 0.19 μm the optical depth reaches unity at ∼80 mbar, comparing favorably to previous estimations (e.g., Tomasko 1974).

Figure 12.

Figure 12. The optical depth of Rayleigh scattering only in the Cassini UVIS wavelength range, with the ultraviolet molecular absorptions turned off. The dashed line traces the pressure levels where the optical depth is unity. Comparing this to Figure 11 shows that the molecular absorptions act so as to increase the altitude of unity optical depth, and therefore the altitude of peak instrument sensitivity.

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The calculations of optical depth performed here do not include the effect of scattering by aerosols. In Section 4.2 we showed that the ultraviolet wavelength range is largely insensitive to the physical properties of the aerosol population, and that they act to uniformly reduce the radiance of the observed spectrum, unless placed high enough (above the absorbing layer) in large abundances. Changing the aerosol distribution will potentially have a significant effect on the optical depth of these observations.

4.5. Hypothesis Testing

Since UVIS and CIRS are both able to retrieve the abundance of acetylene and ethane in the stratosphere of Jupiter, are the abundances retrieved from the two instruments consistent with each other? To test this, we postulate four testable hypotheses:

  • 1.  
    Hypothesis A: The abundance profiles of acetylene and ethane derived from CIRS observations are sufficient to fully reproduce the UVIS observations. Since the aerosol population captured in the ultraviolet is not captured by the CIRS data, we here only retrieved scaled aerosol abundances.
  • 2.  
    Hypothesis B: The observed UVIS spectra are incompatible with the CIRS abundance profiles. In order to determine what difference in abundance is required to better fit the UVIS spectra, we retrieve scaled acetylene, ethane, and aerosol abundances.
  • 3.  
    Hypothesis C: There exists a set of vertical profiles that are consistent with both UVIS and CIRS observations, with the two instruments sampling acetylene and ethane at different pressure levels in the atmosphere. In this manner, combining the two instruments provides a more complete view of stratospheric acetylene and ethane during the Cassini encounter. Here we retrieve complete vertical profiles of acetylene and ethane, but fix the abundances at pressures >1 mbar—levels that the CIRS observations are sensitive to.
  • 4.  
    Hypothesis D: Same as C, but allowing acetylene and ethane to change only at pressures greater than 30 mbar. This provides an opportunity to examine the sensitivity of UVIS at altitudes lower than those to which CIRS is sensitive.

In the following sections, these four tests will be applied to both the UVIS noon and closest-approach data.

4.6. Observations at Local Noon

Figure 13 shows the UVIS spectrum of Jupiter obtained at local noon, centered on the equator. Figure 13(a) shows the result from retrieving only scaled aerosol abundances, with the acetylene and ethane abundances fixed at those derived from CIRS observations—Hypothesis A, producing χ2 = 2.45. Qualitatively, this fit is not excellent, producing an acetylene absorption that is much too deep between 0.17 and 0.18 μm. This shows that the retrieved CIRS abundances are too high for acetylene to explain the UVIS observations. In contrast, the model reproduces the ethane feature at 0.155 μm well.

Figure 13.

Figure 13. The spectrum observed by Cassini UVIS at local noon, centered at the equator, with the results of the four Hypotheses: A, B, C, and D, and the resulting χ2 goodness-of-fit.

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If the data sets from the two wavelength regimes are inconsistent, then what fractions of the CIRS abundances of acetylene and ethane are required to reproduce the UVIS observations? To answer this question—posed by Hypothesis B—we retrieve the aerosol scaling, as before, in addition to the multiplicative abundance scaling factor for acetylene and ethane. This is shown in Figure 13(b), producing χ2 = 1.22. Hypothesis B produces a much better fit than Hypothesis A, capturing the shallower absorption features of both acetylene and ethane. The abundance scaling factors are 0.49 ± 0.03 for acetylene and 1.1 ± 0.3 for ethane, producing abundances at 5 mbar of 48 ± 3 ppb and 3.7 ± 0.9 ppm respectively.

The scaled retrieval of Hypothesis B produces a good fit to the data, but since the near-simultaneous CIRS observations in the mid-infrared already constrain the abundances of acetylene and ethane at pressures >1 mbar, the scaled retrievals are unlikely to be physical. Figure 11 suggests that the UVIS spectra may be sensitive to lower pressure levels than the CIRS observations. To generate vertical profiles of acetylene and ethane that are consistent with both UVIS and CIRS, we test Hypothesis C, fixing the retrievals at pressures >1 mbar to those retrieved from CIRS observations. This is shown in Figure 13(c), and has χ2 = 1.23, providing a nearly identical goodness-of-fit to Hypothesis B. We retrieve abundances at 0.1 mbar of 1.21 ± 0.07 ppm and 20.8 ± 5.1 ppm for acetylene and ethane respectively.

Hypothesis C provides a set of acetylene and ethane profiles that are compatible with both CIRS and UVIS observations by altering abundances at pressures lower than 1 mbar. Is it possible to achieve similarly consistent profiles by varying the abundances below the altitude to which CIRS is sensitive? This is examined by Hypothesis D, where scaled aerosols are retrieved and there is a full retrieval of acetylene and ethane at pressures greater than 30 mbar, the low-altitude end of the CIRS sensitivity (Nixon et al. 2007). This is shown in Figure 13(d), and the resulting fit to the data is poor, showing that we are unable to provide a set of profiles that are consistent with both CIRS and UVIS by altering abundances at pressures >30 mbar, indicative that UVIS has no or limited sensitivity at these altitudes.

The vertical profiles of acetylene and ethane for the four hypotheses are shown in Figure 14. The dotted–dashed profiles of Hypothesis C change the abundances at high altitudes, which produces a nearly identical goodness-of-fit to the UVIS noon spectrum to Hypothesis B, meaning that the profiles of Hypothesis C are an equally valid set, but are also consistent with the CIRS observations. The retrieval of Hypothesis D results in a deep excursion from the prior (solid curve) of acetylene at pressures >30 mbar, yet this is insufficient to produce a good fit to the data—see Figure 13(d). The vertical profile of Hypothesis D for ethane shows no deviation from the prior at all, indicating that UVIS observations have no sensitivity to ethane at all at pressures >30 mbar.

Figure 14.

Figure 14. The volume mixing ratio (VMR) of acetylene and ethane as a function of pressure for the equatorial UVIS noon observations, showing the profiles derived from Hypotheses A, B, C, and D for the low-phase noon observations, as described in Section 4.6.

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4.7. Spatially Resolved Observations at Closest Approach

The UVIS observations obtained at closest approach provide the opportunity to retrieve spatially resolved latitude profiles of acetylene and ethane from ultraviolet reflectance spectra. The observed spectrum obtained at the NEB can be seen as dots in Figure 15, and has a significantly lower S/N than the combined spectra obtained at local noon, because each spatial position is here an individual observation of 67 s. Here, we perform the same four hypothesis tests: A, B, C, and D.

Figure 15.

Figure 15. The Cassini UVIS observation of the NEB obtained during Cassini's closest approach to Jupiter (dots), with NEMESIS spectrum for retrievals A, B, C, and D as described in Section 4.6, shown as solid orange lines.

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The result of testing Hypothesis A is shown in Figure 15(a). It has χ2 = 1.95, while all latitudes have a median χ2 = 2.09. Similarly to Hypothesis A in Figure 13(a), this spectrum has deep absorption features that are inconsistent with the data, particularly around 0.17–0.18 μm, where acetylene is a strong absorber.

The NEB spectrum for Hypothesis B is shown in Figure 15(b), with a retrieval χ2 = 1.33 and a median χ2 = 1.41 over all latitudes. The retrieved acetylene and ethane scaling factors are shown in Figure 16(a) as a function of latitude, with means of 0.42 ± 0.06 and 0.95 ± 0.18, respectively. This translates to 5 mbar abundances of 57 ± 3 ppb for acetylene and 3.4 ± 1.4 ppm at the NEB. The acetylene scalings have a distinct minimum at the equator, with peaks at about ±7° latitude, falling off approximately symmetrically toward the pole. The error bars of the ethane scaling factors are significant, however, and there are three distinct minima, two at ±20° and the one about the equator.

Figure 16.

Figure 16. The abundance scaling factors of acetylene and ethane retrieved for Hypothesis B from the Cassini UVIS data at closest approach as a function of latitude.

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The retrieval of Hypothesis C at the NEB is shown in Figure 15(c), and has χ2 = 1.33, identical to Hypothesis B, and thus shows a good fit to the observations. Hypothesis D, shown in Figure 15(d), provides a poorer fit to the data than both Hypothesis B and C, but one that is slightly better than Hypothesis A.

The retrieved vertical profiles for all four hypotheses at the NEB can be seen in Figure 17, and are very similar to those in Figure 14. Hypothesis C produces reduced abundances at high altitudes for both species, while keeping those at lower altitudes consistent with the CIRS observations. The 0.1 mbar abundances at the NEB are 0.78 ± 0.05 ppm for acetylene and 15.3 ± 6.1 ppm for ethane.

Figure 17.

Figure 17. The volume mixing ratio of acetylene and ethane at the NEB as a function of pressure, showing the profiles derived from retrievals A, B, C, and D, as described in Section 4.6.

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4.8. CIRS Compatibility

Hypothesis C retrieves vertical abundance profiles of acetylene and ethane that are the same as the CIRS prior at pressures >1 mbar. Are the new profiles in Figure 17 still consistent with the original CIRS observations? To test this we use the average acetylene and ethane profiles retrieved from the data at closest approach for Hypothesis C as the new a priori atmosphere and retrieve scaled acetylene and ethane abundances from the CIRS observations. The CIRS data and the procedure for retrieving abundances using NEMESIS from CIRS spectra are described in detail by Fletcher et al. (2016). The retrieved scaling factors as a function of latitude are seen in Figure 18, and there is only a very small degradation in χ2 of the model data compared to the original retrievals of Fletcher et al. (2016), with a change of less than 1%. The scaling factors reproduce the latitudinal structures retrieved by Fletcher et al. (2016) very well. This shows that it is possible to fit the CIRS observations with the new priors of Hypothesis C of Figure 17, and that the CIRS observations are broadly compatible with reduced abundances at high altitudes.

Figure 18.

Figure 18. The abundance scaling factors of acetylene and ethane retrieved from Cassini CIRS data as a function of latitude, derived using the new vertical profiles of Hypothesis C in Figure 16.

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The abundance scalings in Figure 18 show the same latitudinal features as described in Fletcher et al. (2016), with an acetylene enhancement about the NEB and an ethane enhancement about the equator. At the equator and the NEB, the scaling factor reaches beyond 1.5, which is less than the original factor of $\tfrac{1}{0.4}=2.5$ required to scale the original CIRS profiles to match the UVIS observations. Elsewhere, the scaling factor is slightly larger than one, meaning that the new a priori profile is largely consistent with both the CIRS and the UVIS acetylene observations.

In Figure 18(b) we show the ethane scalings, which are very close to unity, indicating that the new a priori profile is appropriate for use when analyzing both UVIS and CIRS observations.

Figures 19 and 20 show the two-dimensional abundance distributions of acetylene and ethane, respectively, as a function of pressure and latitude. These profiles are fixed to the CIRS profiles at pressures >1 mbar and are allowed to change at smaller pressure levels; they represent the set of profiles that are the most compatible with both the ultraviolet UVIS and the mid-infrared CIRS. The change by a factor of two from 20°S to 20°N in Figure 18(a) can be seen in the asymmetric contours near 10 mbar in Figure 19.

Figure 19.

Figure 19. The two-dimensional distribution of acetylene compatible with both CIRS and UVIS observations (Hypothesis C). At pressures >1 mbar the vertical acetylene profile is fixed to values derived from CIRS observations by Fletcher et al. (2016).

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Figure 20.

Figure 20. The two-dimensional distribution of ethane compatible with both CIRS and UVIS observations (Hypothesis C). At pressures >1 mbar the vertical ethane profile is fixed to values derived from CIRS observations by Fletcher et al. (2016).

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Figure 21.

Figure 21. A retrieval sensitivity study for the JUICE UVS spectrometer with wavelength coverage up to 0.21 μm, showing the input abundance scaling of the vertical profiles vs. the scaling retrieved using NEMESIS, as described in Section 4.3. We are able to retrieve all these abundances, to varying degrees of accuracy.

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4.9. JUICE UVS

The Cassini UVIS data analyzed in this study were acquired at large distances from Jupiter, translating to relatively low S/N and low spatial resolution. There are, of course, a number of spectrographs that have operated and will be operating on board spacecraft bound for the giant planets. This study serves as a proof-of-concept that ultraviolet reflectance can be analyzed by NEMESIS to provide important constraints on abundances in the stratosphere of Jupiter. The European Space Agency's JUICE mission to Jupiter, due to be launched in 2022 and to arrive in orbit at the planet in 2029, also carries an ultraviolet spectrograph (UVS). This instrument carries heritage from a number of instruments on both past and present missions, including the New Horizons ALICE (Stern et al. 2008) and Juno UVS (Gladstone et al. 2017). It has a wavelength coverage between 0.05 and 0.21 μm with a peak spectral resolution of 1.2 nm. Figure 4(a) shows that the spectral region between 0.19 and 0.21 μm is dominated by absorptions by ammonia.

We perform a sensitivity study, as outlined in Section 4.3, for the spectral resolution and wavelength coverage of JUICE UVS. Figure 21 shows the input abundance scaling versus the scaling retrieved by NEMESIS for acetylene, ethane, ammonia and phosphine, in the same way as Figure 10. Similar to Cassini UVIS, JUICE UVS will achieve excellent sensitivity to acetylene and aerosols, with errors of 2% and 1% respectively. Ethane can be retrieved moderately well, with a retrieval error of 30%. The extended wavelength range of UVS allows ammonia and phosphine also to be retrieved, both with errors of about 10%. Note that here the aerosol abundances are only scaled between 0 and 2. This is because the increased aerosol absorption and scattering of aerosols and the large abundances of phosphine and ammonia severely reduce the radiance longward of 0.19 μm, darkening the spectrum significantly and making it difficult to perform sensible retrievals.

Figure 22.

Figure 22. The optical depth of the JUICE UVS spectrum as a function of wavelength and pressure, as calculated from the two-way transmission function.

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The cumulative optical depth for JUICE UVS is shown in Figure 22—see Section 4.4 for details on how this is generated. Longward of 0.19 μm unity optical depth occurs between 10 and 100 mbar, providing the sensitivity to retrieve abundances of ammonia and phosphine at the tropopause.

5. Discussion

Here, we retrieve abundances of 0.78 ± 0.05 ppm for acetylene and 15.3 ± 6.1 ppm for ethane at 0.1 mbar for Hypothesis C at the NEB during the UVIS observations of Jupiter at closest approach. These values are much smaller than any previous abundances derived from ultraviolet reflectance spectra of Jupiter, listed in Table 1. Figure 11 shows that the optical depth at the absorption peaks of acetylene reaches unity at about 1 mbar, which is in the top range of altitudes that UVIS is sensitive to. In fact, Figure 11 shows that the 80 mbar altitude quoted by many the studies in Table 1 is effectively invisible in the UVIS wavelength range, with the smallest pressure UVIS is able to sample being ∼30 mbar at 0.19 μm. At 5 mbar we retrieve volume mixing ratios at the NEB of 56.8 ± 3.4 ppb for acetylene and 3.4 ± 1.4 ppm for ethane. These values compare reasonably well to the values in Table 1. This may suggest that the quoted abundance values in Table 1 are actually at a higher altitude than previously thought, i.e., closer to 5 mbar than 80 mbar. The use of 80 mbar as a reference pressure for the UV originated in Tomasko (1974), but should probably be omitted in future works. Figure 12 shows the optical depth of the Rayleigh scattering process in isolation, broadly consistent with the atmosphere reaching unity optical depth at 80 mbar at 0.2 μm, this altitude decreasing with increasing wavelength. However, including the absorption of molecular species can increase this altitude significantly, as shown in Figures 11 and 22.

The abundance scalings of acetylene in Figure 17(a) have a symmetric distribution about the equator, while the profiles derived from CIRS observations in Figure 18 at lower altitudes contain an enhancement in abundance over the NEB near 20°N compared to the SEB near 20°S. Mid-infrared studies showed that this asymmetry was still present in 2013 but the meridional distribution became symmetric in 2017 (Melin et al. 2018). The fact that we are not seeing this in the acetylene distribution at pressures <1 mbar may indicate that the global circulation is decoupled between these two altitudes, or that they form part of two different circulation cells.

The quasi-quadrennial oscillation (QQO, e.g., Leovy et al. 1991; Cosentino et al. 2017) is a semi-regular ∼4 yr cycle of changing temperatures at the equator, driven largely by gravity waves generated in the turbulent troposphere (Simon-Miller et al. 2006), which manifests as cold and warm patches propagating downward in altitude, forming an oscillation at a particular pressure level. With Rayleigh scattering being independent of temperature, the ultraviolet reflectance spectrum is only sensitive to temperature in the sense that there is some temperature dependence in the ultraviolet absorption cross sections and the atmospheric scale height. However, at the low temperatures observed in the atmosphere of Jupiter, the available cross-section data are effectively single-temperature measurements. Therefore, in the absence of future laboratory measurements of low-temperature cross sections, ultraviolet observations have limited sensitivity to stratospheric temperatures, and are therefore largely blind to any QQO variability in temperature. Both acetylene and ethane show reduced abundances at the equator (Figure 16). This is in contrast to the increased equatorial abundances observed by CIRS (Figure 18). The vertical profiles of ethane and acetylene derived in this study for Hypothesis C that are consistent with both CIRS and UVIS (e.g., see Figure 17) are consistent with the two instruments sensing different altitudes. Since the CIRS and UVIS abundance scalings at the equator are effectively anticorrelated, this seems to indicate that we are observing QQO signatures in the abundance of both acetylene and ethane. This means that the QQO not only impacts on the temperature field over time, but also has a dynamical effect on the vertical abundances of the hydrocarbons.

The abundances of ethane and acetylene can also be obtained by analyzing observations in the mid-infrared. In particular, observations from the Infrared Space Observatory (ISO) are made at a higher spectral resolution than CIRS and sample similar altitudes to those considered in this study. The retrieved equatorial abundances of acetylene and ethane of Fouchet et al. (2000) are shown in Figure 23, along with the vertical abundance retrieved for the Cassini UVIS noon observations, and the model profiles of Moses et al. (2005). Similar to the low-spatial-resolution UVIS noon observations, the ISO observations cover latitudes between ±30°. The ethane abundances (pink) agree well, while acetylene (black) abundances retrieved from the UVIS data are lower than those retrieved from ISO data. The ISO data were obtained in 1997 May, which suggests that there are significant changes in the abundance of acetylene at pressures <1 mbar on the timescale of years, in agreement with Melin et al. (2018). The photochemical model of Moses et al. (2005) is plotted as the dotted line in Figure 23, and shows agreement within an order of magnitude for both species. The ultraviolet occultation observations of Greathouse et al. (2010) are not directly comparable to the abundances obtained here since they sample pressure levels between 1 and 10 μbar.

Figure 23.

Figure 23. Comparison of the retrieved equatorial abundances of acetylene (black) and ethane (pink) of the Cassini UVIS noon retrievals of Hypothesis C with observations in the millibar region by Fouchet et al. (2000) and Moses et al. (2005). Note that the retrievals in this work are held fixed to CIRS values at pressures >1 mbar, and the a priori profiles used in this study from Nixon et al. (2007) and Fletcher et al. (2016) have higher abundances of acetylene and ethane at lower altitudes than Moses et al. (2005).

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6. Conclusions

We developed the ability of our NEMESIS radiative transfer and retrieval code to model and fit ultraviolet reflectance spectra from Jupiter between 0.15 and 0.19 μm. In this wavelength region the spectrum is sensitive to acetylene, ethane, and aerosol abundances, and those can be retrieved from the observations—acetylene with ∼2% confidence and ethane with ∼20% confidence. We applied the upgraded model to observations of Jupiter obtained by the Cassini spacecraft during the flyby in late 2000/early 2001.

The scaled acetylene abundances retrieved from the UVIS observations (Hypothesis B) are lower than those from CIRS by a factor of 0.49 ± 0.03 for the noon data and 0.41 ± 0.06 for the closest-approach data. The abundances retrieved for ethane are largely compatible with the CIRS results with a scaling of ∼0.95, but are associated with large error bars.

By fixing the abundance profiles of acetylene and ethane at altitudes where CIRS is sensitive (>1 mbar pressures) but allowing them to change at higher altitudes, we are able to produce vertical profiles that are broadly consistent with both the CIRS and UVIS Jupiter flyby data. Thus, combining observations from two different spectral ranges gives us the ability to sample a greater range of pressure levels than an individual wavelength range in isolation. With this enhanced vertical sensitivity, the data suggest that the circulation is somehow decoupled above and below the ∼1 mbar level, with larger asymmetries in the lower stratosphere than in the upper stratosphere, and that the QQO modulates the abundances of hydrocarbons as well as the temperature field.

We also characterized the additional species that we are able to retrieve with the extended wavelength range of the JUICE UVS instrument, adding the ability to ascertain abundances of phosphine and ammonia in the troposphere in addition to stratospheric acetylene and ethane. The JUICE payload lacks a mid-infrared spectrograph akin to Cassini CIRS, so having the modeling tools required to retrieve abundances of acetylene, ethane, ammonia, and phosphine from ultraviolet reflectance spectra will be critical for analyzing the upper troposphere and stratosphere of Jupiter in the next decade.

6.1. Ultraviolet Ethane Absorption Cross Sections

In Section 2.2 we show that the tabulation of ultraviolet cross section in Chen & Wu (2004) of the results of Lee et al. (2001) contains two errors, one at 0.155 μm and one at 0.157 μm. These two data points are too large by a factor of 10; they will result in the retrieved abundance of ethane being too small by a factor of ∼10, and the spectrum at 0.155 μm will appear almost completely absorbed. We urge future authors to treat the tabulation of Chen & Wu (2004) with care, and instead use the corrected values of Table 3.

This work is supported by a European Research Council Consolidator Grant under the European Union's Horizon 2020 research and innovation program, grant agreement 723890 at the University of Leicester, by a Royal Society Research Fellowship, and by UK Science and Technology Facilities Council (STFC) grant ST/N000749/1. This research used the ALICE High Performance Computing Facility at the University of Leicester. We thank Larry Sromovsky for providing the code used to generate our Rayleigh-scattering opacities.

Footnotes

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10.3847/1538-3881/ab91a6