Europlanet Science Congress 2022
Palacio de Congresos de Granada, Spain
18 – 23 September 2022
Europlanet Science Congress 2022
Palacio de Congresos de Granada, Spain
18 September – 23 September 2022
OPS2
Exploration of Titan

OPS2

Exploration of Titan
Co-organized by MITM
Conveners: Alice Le Gall, Anezina Solomonidou | Co-conveners: Ralph Lorenz, Conor Nixon, Marco Mastroguiseppe, Sandrine Vinatier
Orals
| Wed, 21 Sep, 10:00–13:15 (CEST)|Room Andalucia 2
Posters
| Attendance Mon, 19 Sep, 18:45–20:15 (CEST) | Display Mon, 19 Sep, 08:30–Wed, 21 Sep, 11:00|Poster area Level 1

Session assets

Discussion on Slack

Orals: Wed, 21 Sep | Room Andalucia 2

Chairpersons: Anezina Solomonidou, Conor Nixon, Sandrine Vinatier
Ionosphere and Atmosphere
10:00–10:10
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EPSC2022-447
Panayotis Lavvas and Tommi Koskinen

The Cassini/UVIS observations of Titan’s atmosphere extend from 2005 to 2017 providing a broad spatial and temporal view of the upper atmosphere including the seasonal change from Southern summer at the Cassini-Huygens arrival in 2005, to equinox (August 2009), to Northern summer (summer solstice in May 2017). The general emission characteristics of the illuminated Titan side are common among the observations: Near the ionospheric peak (~1100 km) the atomic and molecular emissions dominate the observed signal (Fig. 1). Atomic emissions include Ly-α (1216.7 Å) scattering from atomic hydrogen and emissions from N and N+ excited during the photolysis of N2, with major contributions at 1085 Å (N+, 3D0 à 3P), 1200 Å (N, 4D0 à 4S0 ) and 1493 Å (N, 2P à 4S0). Molecular emissions are dominated by the Lyman-Birge-Hopfield (LBH, α 1Πg à X 1Σg+) and Vegard-Kaplan (VK, A3Σu+ à Χ 1Σg+) bands, both in the FUV. These observations provide valuable constraints for the atmospheric structure.

We use a detailed forward model to simulate the observed emission, which relies on constraints from models of solar energy deposition (Lavvas et al. 2011) and N2 aiglow (Lavvas et al. 2015). Our simulations demonstrate that all observed emissions result from the excitation of atomic and molecular nitrogen and from scattering by atomic hydrogen (Fig. 1). Using such a detailed forward model for the inversion of the atmospheric properties is, however, inefficient due to the large computational times involved. Instead we propose a simplified retrieval focusing on specific atomic lines in the FUV range, which allows for an efficient atmospheric characterization with minimal computational effort, while preserving the benefits of the detailed forward modeling.

 

Figure 1: Observed (black) and simulated (red) limb spectra on Titan’s dayside during the 2016, DOY-015 PRIME observations. The top panel presents the average spectrum at 1100 km (100 km wide bin) demonstrating the strong Ly-α emission and the emissions from atomic (dashed lines) and molecular transitions (thin blue lines for LBH and thin red lines for VK bands).

References

  • Lavvas P., Yelle R.V., Heays A.N., Campbell L., Brunger M.J., Galand M., Vuitton V., 2015. N2 state population in Titan’s atmosphere. Icarus, 260, p.29-59.
  • Lavvas P., Galand M., Yelle R.V., Hayes A.N., Lewis B.R., Lewis G.,R. Coates A.J., 2011. Energy deposotion and primary chemical products in Titan’s atmosphere. Icarus, 213, 233-251. 

How to cite: Lavvas, P. and Koskinen, T.: Titan’s atmospheric structure from Cassini/UVIS airglow observations, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-447, https://doi.org/10.5194/epsc2022-447, 2022.

10:10–10:20
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EPSC2022-479
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ECP
Maélie Coutelier, Thomas Gautier, Koyena Das, Joseph Serigano, and Sarah Horst

Introduction

    With 13 years of observations, the Ion and Neutral Mass Spectrometer (INMS) onboard the Cassini spacecraft has observed the upper atmosphere of Titan through two seasons: winter and spring. The complex atmosphere is mainly composed of N2, CH4, H2 and Ar, but a lot more carbon and nitrogen bearing trace species have been observed by INMS and other instruments. Using data from the closed source neutral mode of INMS instrument, we studied the abundance and variation of traces neutral species in Titan ionosphere, between 1500 and 950 km of altitude. We will present an ongoing effort on the reanalysis of the entire INMS Titan's observation dataset. 

Method

To do so we recalibrated INMS data by taking into account the dead time correction, the ram pressure enhancement, the saturation correction, the increase of pressure in the chamber with the decreases of altitude, the sensitivity and the contamination by thruster firing (Cui et al., 2009,2012). In addition, species entering the instrument were ionized and fragmented into ions inside INMS chamber, making difficult the identification of different species in such complex mass spectra. To retrieve the molecular mixing ratios we used a Monte-Carlo sampling on the fragmentation pattern to deconvolve the signal.  To obtain a complete mass spectrum (m/z 1 to 99), we stacked INMS data, which increases the incertitude on the altitude. We used the mass spectra deconvolution code developed by Gautier et al., (2020), also employed by Serigano et al., (2020) when they treated Saturn INMS data.

This enabled the retrieval of vertical and seasonal variation of Titan's atmosphere minor components. We expect to be able to link our results with the seasonal variations observed by other instruments [such as CIRS (Mathé et al., 2020)] in lower atmospheric layers. 

References

 

Cui et al.(2009) Analysis of Titan’s neutral upper atmosphere from Cassini Ion Neutral Mass Spectrometer measurements. Icarus 200 (2009) 581–615

Cui et al.(2012) The CH4 structure in Titan’s upper atmosphere revisited. J. Geophys. Res., 117, E11006, doi:10.1029/2012JE004222.

Gautier et al. (2020) Decomposition of electron ionization mass spectra for space application using a Monte-Carlo approach. Rapid. Com. Mass Spec. 34(8), e8659

Mathé et al., (2020) Seasonal changes in the middle atmosphere of Titan from Cassini/CIRS observations: Temperature and trace species abundance profiles from 2004 to 2017. Icarus, 344, 113547.

Serigano et al. (2020) Compositional measurements of saturn's upper atmosphere and rings from cassini INMS. Journal of Geophysical Research: Planets, 125(8), e2020JE006427.

How to cite: Coutelier, M., Gautier, T., Das, K., Serigano, J., and Horst, S.: Seasonal variation of trace species in Titan’s ionosphere, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-479, https://doi.org/10.5194/epsc2022-479, 2022.

10:20–10:30
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EPSC2022-655
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ECP
Nicholas A Lombardo and Juan M Lora

Titan’s stratospheric polar vortex is a prominent phenomenon of Titan’s global wind field, consisting of a westerly jet achieving speeds of nearly 200 m s-1 [1, 2].  The strong westerly winds have been hypothesized to serve as a mixing barrier to molecules transported to the high winter latitudes by Titan’s stratospheric meridional overturning circulation [2].  Similar to Earth’s stratospheric polar vortex, the vortex on Titan is primarily driven by diabatic cooling at high winter latitudes, resulting in a steep meridional temperature gradient and, via the thermal wind relation, a strong vertical wind shear [3].  While the existence and evolution of the vortex has been constrained for one half of a Titan year by observations from the Cassini spacecraft, a rigorous analysis of the potential mechanisms that give rise to the strong stratospheric jet has not yet been performed.

Here, using simulations from the Titan Atmospheric Model [4], which has recently been updated to better simulate Titan’s stratosphere [5], we study the temporal evolution of processes proposed to be responsible for the evolution of Titan’s stratospheric polar vortex, including: solar shortwave heating (largely controlled by the presence of stratospheric aerosols), adiabatic heating from the descending branch of the meridional overturning circulation, and molecular longwave cooling [3].

References

[1] Sharkey, J. et al, (2021) Icar 354, 114030

[2] Schultis, J., et al., (2022) PSJ 3, 73

[3] Teanby, N. A., et al, (2017), Nat Comm 8, 1586

[4] Lora, J. M., et al., (2015), Icar 250, 516 – 528

[5] Lombardo, N. A., et al., (in review), Icar

How to cite: Lombardo, N. A. and Lora, J. M.: The Energy and Momentum Balance of Titan’s Stratospheric Polar Vortex as Simulated in a General Circulation Model, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-655, https://doi.org/10.5194/epsc2022-655, 2022.

10:30–10:40
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EPSC2022-716
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ECP
Cecilia Leung, Leslie Tamppari, Claire Newman, and Yuan Lian

The objective of this study is to identify the dominant atmospheric wave modes driving and maintaining superrotation on Titan, by using a combination of space-time cross spectral wave analysis and spherical harmonic wave analysis techniques.

A defining feature of Titan’s atmospheric circulation is the presence of strong, planet-wide superrotation in the stratosphere. To achieve and sustain equatorial superrotation, angular momentum must be transported up the angular momentum gradient, which can only be accomplished by wave transport [2]. Newman et al. (2011)  showed that equatorial superrotation can be maintained via episodic “transfer events,” in which barotropic instability leads to the generation of planetary-scale waves that carry angular momentum and speed-up the equatorial flow [3]. Yet the origin and nature of these waves in the real atmosphere, and the exact mechanisms driving superrotation and upper atmospheric wave forcing, remain unknown.

We simulated the Titan atmosphere using the Titan Weather Research and Forecasting (TitanWRF) model and evaluated the temperature and momentum perturbations at different times during one full Titan year of simulation output. Fourier transforms of the temperature and wind fields showed that a strong correlation can be established between wave amplitude and angular momentum transfer events. Power spectral density for eddy heat and eddy momentum as a function of altitude, latitude, and phase speed or zonal wavenumber further emphasized the correlation. In our simulation, the largest angular momentum transfer event occurred around Ls~261°. Two additional transfer events were found at Ls~116° and Ls~192°, along with a number of smaller events occurring throughout the year.

References: [1] Charnay et al. (2015) Nature Geosci, 8, 362–366. [2] Gierasch (1975) J. Atmos. Sci., 32, 1038–44. [3] Newman et al. (2011) Icarus, 213, 636–654.

 

How to cite: Leung, C., Tamppari, L., Newman, C., and Lian, Y.: Angular Momentum Transfer in Titan’s Stratosphere, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-716, https://doi.org/10.5194/epsc2022-716, 2022.

10:40–10:50
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EPSC2022-258
Sandrine Vinatier, Christophe Mathé, Bruno Bézard, Antoine Jolly, and Thomas Gautier

Molecular nitrogen (N2) and methane (CH4) are the two major gas of Titan’s atmosphere. Their dissociation in the upper atmosphere by photons and photo-electrons leads to a wealth of chemical reactions forming more complex molecules like nitriles and hydrocarbons, which subsequently combine to form Titan’s photochemical haze.

Isotopic ratios measured in N2 and CH4 are of particular interest to constrain the origin and evolution of Titan’s atmosphere. While the same isotopic ratios measured in photochemical species bring constraints on fractionation processes occurring through their formation and/or loss.      

We focus on the determination on the 14N/15N and the 12C/13C isotopic ratios in HCN and the 12C/13C ratio in HC3N by analyzing their thermal emission acquired by the Cassini Composite Infrared Spectrometer (CIRS) from 2004 to 2017 (from the northern winter to the northern summer).  We used the entire CIRS dataset acquired with a limb-geometry viewing at the highest spectral resolution (0.5 cm-1). This allows us to search for potential variations of these isotopic ratios with latitude or with season, which could help to identify potential fractionation processes. Our analysis incorporates the temperature and minor species volume mixing ratio profiles inferred previously by Mathé et al. (2020) from the same limb dataset. We will present our results regarding the isotopic ratios in HCN for all latitudes, while we will present the 12C/13C ratio in HC3N only at high latitudes, as this nitrile is not detected at mid- and low-latitudes.

References:
- Mathé et al., 2020. Seasonal changes in the middle atmosphere of Titan from Cassini/CIRS observations: Temperature and trace species abundance profiles from 2004 to 2017. Icarus 344,  id. 113547.

 

How to cite: Vinatier, S., Mathé, C., Bézard, B., Jolly, A., and Gautier, T.: Isotopic ratios in Titan’s HCN and HC3N derived from Cassini/CIRS observations, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-258, https://doi.org/10.5194/epsc2022-258, 2022.

10:50–11:00
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EPSC2022-130
Pascal Rannou, Maélie Coutelier, Sébastien Lebonnois, Luca Maltagliati, Emmanuel Rivière, Michaël Rey, and Sandrine Vinatier

Titan, the largest satellite of Saturn, has a dense atmosphere mainly composed of nitrogen and methane at a percent level. These two molecules generate a complex prebiotic chemistry, a global haze, most of the cloud cover and the rainfalls which model the landscape. Methane sources are located in liquid reservoirs at and below the surface and it sink is the photodissociation at high altitude. Titan’s present and past climates strongly depend on the connection between the surface sources and the atmosphere upper layers. Despite its importance, very little information is available on this topic. 

 In the last two decades, the observations made by the Cassini orbiter and the Huygens probe have greatly improved our knowledge of Titan’s system. The surface, haze, clouds, and chemical species can be studied and characterised with several instruments simultaneously. On the other hand, some compounds of its climatic cycle remain poorly known. This is clearly the case of the methane cycle, which is, however, a critical component of Titan’s climate and of its evolution. 

We reanalysed four solar occultations by Titan’s atmosphere observed with the infrared part of the Visual Infrared Mapping Spectrometer (VIMS) instrument. These observations were already analysed (Bellucci et al., 2009, Maltagliati et al., 2015), but here we used significantly improved methane spectroscopic data. We retrieved the haze properties (not treated previously) (Figure 1) and the mixing ratios of methane (Figure 2), deuterated methane, and CO in the stratosphere and in the low mesosphere.

Figure 1 : Haze extinction as a function of altitude, retrieved for the four observations, at wavelengths 0.884 μm (channel #97), 1.540 μm (channel #137) and 2.199 μm (channel #177). The extinction profiles retrieved by Seignovert et al. (2021) with Cassini/ISS, at wavelength 338 nm (CL-UV3 filters), are shown with green lines (labelled "S2020"). Those from Vinatier et al. (2010) or Vinatier et al. (2015), scaled at the wavelength 1μm, are shown with black lines ("V2010" or "V2015"). The profiles in cyan ("RP83"), are the extinctions retrieved by Rages & Pollack (1983) at 30◦N in August 1981 (wavelength 0.5 μm). The differences in the detached haze altitudes between VIMS-IR (Ls = 26°), Cassini/ISS (Ls = 14.8°) and Voyager 2/ISS (Ls = 18°) are their dates while the detached is falling down (West et al. (2018); Seignovert et al. (2021)). The grey line shows the haze profile by Doose et al. (2016) with DISR in 2005 at 10°S (labelled "D2016"). 

We find that the methane mixing ratio in the stratosphere is much lower (about 1.1%) than expected from Huygens measurements (about 1.4 to 1.5%). However, this is consistent with previous results obtained with CIRS. Features in the methane vertical profiles clearly demonstrate that there are interactions between the methane distribution and the atmosphere circulation. We find a layer rich in methane at 165 km and at 70°S (mixing ratio 1.45 ± 0.1%) and a dryer background stratosphere (1.1 − 1.2%). In absence of local production, this reveals an intrusion of methane transported into the stratosphere, probably by convective circulation. On the other hand, methane transport through the tropopause at global scale appears quite inhibited. Leaking through the tropopause is an important bottleneck of Titan’s methane cycle at all timescales. As such, it affects the long term evolution of Titan atmosphere and the exchange fluxes with the surface and subsurface reservoirs in a complex way.

Figure 2 : Methane mixing ratio retrieved with the four observation sets, with data between 0.88 and 2 μm (top) and between 2 and 2.8 μm (bottom). We also plot the methane mole fraction retrieved with the GCMS onboard Huygens (Niemann et al. (2010)) and with DIRS (Bézard (2014)) and CISR (Lellouch et al. (2014)). The green dashed profile, in the upper left graph, shows the evaluation made by Rannou et al. (2021). 

 

We also retrieved the haze extinction profiles and the haze spectral behaviour. We find that aerosols are aggregates with a fractal dimension of Df ≃2.3±0.1, rather than Df ≃2 as previously thought. Our analysis also reveals noticeable changes in their size distribution and their morphology with altitude and time. These changes are also clearly connected to the atmosphere circulation and concerns the whole stratosphere and the transition between the main and the detached haze layers. 

We conclude that, to fully understand these results, Global Climate Models accounting for haze and cloud physics, thermodynamical feedbacks and convection are needed. Especially, the humidificaton of the stratosphere, at the present time and its evolution under changing conditions at geological timescale appears as a key process, and our work provide strong constraints to guide studies.

 

References

Bellucci, A., Sicardy, B., Drossart, P., et al. 2009, Icarus, 201, 198 
Bézard, B. 2014, Icarus, 242, 64 
Doose, L. R., Karkoschka, E., Tomasko, M. G., & Anderson, C. M. 2016, Icarus, 270, 355 
Lellouch, E., Bézard, B., Flasar, F. M., et al. 2014, Icarus, 231, 323 
Maltagliati, L., Bézard, B., Vinatier, S., et al. 2015, Icarus, 248, 1 
Niemann, H. B., Atreya, S. K., Demick, J. E., et al. 2010, Journal of Geophysical Research (Planets), 115, E12006 
Rages, K. & Pollack, J. B. 1983, Icarus, 55, 50 
Rannou, P., Coutelier, M., Riviere, E., et al. 2021, Astrophysical Journal, 922
Rey, M., Nikitin, A., Bézard, B., et al. 2018, Icarus, 303, 114 
Seignovert, B., Rannou, P., West, R. A., & Vinatier, S. 2021, The Astrophysical Journal, 907, 36 
Vinatier, S., Bézard, B., de Kok, R., et al. 2010, Icarus, 210, 852 
Vinatier, S., Bézard, B., Lebonnois, S., et al. 2015, Icarus, 250, 95 
West, R. A., Balloch, J., Dumont, P., et al. 2018, Geophysical Research Letters, 38 

 

How to cite: Rannou, P., Coutelier, M., Lebonnois, S., Maltagliati, L., Rivière, E., Rey, M., and Vinatier, S.: Solar occultations observed by VIMS-IR: What haze and methane profiles reveal about Titan's atmospheric dynamics and climate., Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-130, https://doi.org/10.5194/epsc2022-130, 2022.

11:00–11:10
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EPSC2022-363
Bruno Bézard, Sandrine Vinatier, Tommy Greathouse, Rohini Giles, Conor Nixon, Nicolas Lombardo, Antoine Jolly, and Daniela Despan

In July 2017, we used the Texes high-resolution spectrometer at the NASA Infrared Telescope Facility to observe Titan in the 19.3-µm (519 cm-1) region where the ν4 band of deuterated acetylene (C2HD) is located. Six individual lines were clearly detected with a S/N ratio up to 10. Spectral intervals around 8.0 (745 cm-1) and 13.4 µm (1247 cm-1) were observed during the same run to constrain the disk-averaged temperature profile and acetylene (C2H2) abundance profile respectively. Telluric correction and flux calibration were obtained from observations of asteroid Hygiea. Constraints from Cassini/CIRS observations in 2017 around the sub-Earth latitude were also used to constrain the atmospheric model and check the flux calibration. The D/H ratio is derived from the C2HD/C2H2 abundance ratio. Preliminary results of this analysis indicate a D/H ratio in acetylene around 1.7×10-5 with an uncertainty of about 10%, in agreement with the previous, less precise, determination from Cassini/CIRS measurements. This ratio is slightly larger than that in methane (approximately 1.3×10-5), which suggests some fractionation at work in the photochemical production of acetylene from methane.

How to cite: Bézard, B., Vinatier, S., Greathouse, T., Giles, R., Nixon, C., Lombardo, N., Jolly, A., and Despan, D.: The D/H ratio in Titan's acetylene from high spectral resolution IRTF/Texes observations, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-363, https://doi.org/10.5194/epsc2022-363, 2022.

11:10–11:20
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EPSC2022-431
Thomas Gautier, Joseph Serigano, Koyena Das, Maélie Coutelier, Sarah Hörst, Sandrine Vinatier, Cyril Szopa, and Melissa Trainer

More than a decade after the arrival of the Cassini-Huygens mission in Saturn’s system, data returned by the Huygens probe during its descent remain a unique source of in-situ information on the lower atmosphere of Titan. Among the Huygens instrumental suite was the GCMS (Gas Chromatograph Mass Spectrometer) instrument which returned hundreds of mass spectra acquired in the atmosphere below 145 km of altitude.

We will present a reanalysis of GCMS data focusing on the methane vertical profile thanks to recent advances in our knowledge of Titan’s atmosphere and in mass spectrometry data treatment [1-3].

We retrieved methane mixing ratio slightly lower than the one reported by the original team[4] and obtained its profile between 145 km and 30 km of altitude with a kilometric vertical resolution, and a sub-kilometric one between 30 km and the surface.

Such a vertical resolution unveiled clear oscillations in the methane mixing ratio in Titan’s troposphere and methane vertical concentration diverging from an ideal adiabat. Such features could for example be a sign of small-scale convective zones in the troposphere which could have triggered the gravity waves detected by Huygens in the stratosphere. We hope that the discovery of previously unnoticed features in GCMS data will also enable the reanalysis of data returned by other Huygens instruments such as HASI and DISR on Titan lower atmosphere.

[1] Gautier et al. Decomposition of electron ionization mass spectra for space application using a Monte-Carlo approach. Rapid. Com. Mass Spec. 34(8), e8659 (2020)

[2] Serigano et al. Compositional measurements of Saturn’s upper atmosphere and rings from Cassini INMS. JGR:Planets, 125 (8), E006427  (2020)

[3] Serigano et al. Compositional Measurements of Saturn’s Upper Atmosphere and Rings from Cassini INMS: An extended Analysis of Measurements from Cassini’s Grand Finale Orbits. JGR:Planets, 127, E007238 (2022)

[4] Niemann et al. Composition of Titan’s lower atmosphere and simple surface volatiles as measured by the Cassini-Huygens probe gas chromatograph mass spectrometer experiment. JGR 115, E12006, 2010

How to cite: Gautier, T., Serigano, J., Das, K., Coutelier, M., Hörst, S., Vinatier, S., Szopa, C., and Trainer, M.: Methane vertical profile in Titan’s atmosphere, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-431, https://doi.org/10.5194/epsc2022-431, 2022.

11:20–11:30
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EPSC2022-445
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ECP
Bruno de Batz de Trenquelléon, Pascal Rannou, Jérémie Burgalat, and Sébastien Lebonnois

Abstract

Titan's atmosphere has one of the most complex chemistry of the Solar System. On the one hand, its two main compounds, nitrogen and methane, are dissociated at high altitude by energetic solar photons and charged particles coming from the Saturnian magnetosphere. They produce a set of complex molecules that generates a layer of photochemical haze which completely covers Titan. On the other hand, there is a methane cycle similar to the hydrological cycle established on Earth (evaporation, condensation, precipitations and presence of rivers and lakes on the surface). Haze, methane and clouds are subject to coupled cycles that are not completely understood. They also contribute to the thermal equilibrium and long-term evolution of Titan. It is therefore important to better characterize these cycles and their interactions.

 

1. Principle of the work

The temperature profile of the satellite allows methane to condense, when it is transported upwards, on the aerosols which serve as a support for nucleation. Thus, after evaporation from the surface reservoirs, methane clouds are produce, precipitate, and return to the surface [Stofan et al., 2007]. The minor species created at high altitude also condense during their transport to the lower layers. These clouds have long been observed thanks to telescopes, and then to Cassini's instruments [Rodriguez et al., 2011]. Cloud activity has also been modeled from physical principles in the 2-D GCM (altitude-latitude) of IPSL [Rannou et al., 2006] and by simple models with other 3-D GCMs (e.g. [Mitchell et al., 2006] and [Lora et al., 2019]).

The Global Climate Model of Titan developed at the Institut-Pierre-Simon-Laplace is the ideal tool to understand how these cycles work and how clouds form on Titan. The transition of the model in 3 dimension has significantly improved our knowledge of the mechanisms of Titan's middle atmosphere [Lebonnois et al., 2012]. The microphysical processes associated with haze have been implemented long time ago. We now have added the clouds microphysics (methane, ethane, hydrocyanic acid, etc.) and we further plan to add convective aspects. Aside from that, the morphological structure (fractal dimension) of aerosols has also been questioned recently and is likely to modify the thermal equilibrium of the atmosphere, haze-dominated in the stratosphere. These are the two axes that we will explore in our work.

 

2. Results & Discussion

In this presentation, we will first discuss the impact of changing aerosol structure on the haze cycle and the consequences for the thermal equilibrium of the atmosphere. Recent works show that aerosols appear more compact than previously thought (with a fractal dimension Df ∼ 2.3 instead of Df ∼ 2.0). We studied the effects induced by such a change (change of vertical profiles, annual cycles, aerosol size, etc.). For example, Figure 1 shows the haze extinction in Titan's atmosphere depending on the pressure and latitude for two values of the aerosol fractal dimensions.

Fig. 1 Haze extinction at 4000 nm for Df = 2.0 (left) and Df = 2.3 (right) in the Titan Global Climate Model of IPSL.

We will detail the consequences on the structure of the haze and on the thermal equilibrium in the stratosphere (figure 2).

Fig. 2 Vertical temperature profile of Titan's atmosphere. The bold line corresponds to the profile measured by Huygens. The dotted lines correspond to the temperature profiles predicted with the IPSL model with Df = 2.0 (in red) and Df = 2.3 (in blue).

Next, we will describe the general principle of the cloud model used in the GCM and show the first results obtained. We will display the comparisons, on the one hand with observations and on the other hand with other models. This first step aims at recovering, in the 3-D GCM, the level of coupling previously reached in the 2-D model. We will also discuss the missing processes in the model and the strategy to account for. The main missing process is the convective cloud process, which have been observed.

This project is naturally in line with the upcoming observations of the JWST, the future Dragonfly mission and all other future missions. This model will allow the best possible characterisation of the climate expected in the Dragonfly landing region. Of course, it will also be a question of providing all possible elements necessary for the understanding of future observation of Titan.

 

References

E. R. Stofan, C. Elachi, J. I. Lunine, R. D. Lorenz, B. Stiles, K. L. Mitchell, S. Ostro, L. Soderblom, C. Wood, H. Zebker, S. Wall, M. Janssen, R. Kirk, R. Lopes, F. Paganelli, J. Radebaugh, L. Wye, Y. Anderson, M. Allison, R. Boehmer, P. Callahan, P. Encrenaz, E. Flamini, G. Francescetti, Y. Gim, G. Hamilton, S. Hensley, W. T. K. Johnson, K. Kelleher, D. Muhleman, P. Paillou, G. Picardi, F. Posa, L. Roth, R. Seu, S. Shaffer, S. Vetrella, and R. West, “The lakes of Titan,” Nature, vol. 445, no. 7123, pp. 61–64, Jan. 2007.

S. Rodriguez, S. Le Mouélic, P. Rannou, C. Sotin, R. H. Brown, J. W. Barnes, C. A. Griffith, J. Burgalat, K. H. Baines, B. J. Buratti, R. N. Clark, and P. D. Nicholson, “Titan’s cloud seasonal activity from winter to spring with Cassini/VIMS,” Icarus, vol. 216, no. 1, pp. 89–110, Nov. 2011.

P. Rannou, F. Montmessin, F. Hourdin, and S. Lebonnois, “The Latitudinal Distribution of Clouds on Titan,” Science, vol. 311, no. 5758, pp. 201–205, Jan. 2006.

J. L. Mitchell, R. T. Pierrehumbert, D. M. W. Frierson, and R. Caballero, “The dynamics behind Titan’s methane clouds,” Proceedings of the National Academy of Science, vol. 103, no. 49, pp. 18421–18426, Nov. 2006.

Juan M. Lora, Tetsuya Tokano, Jan Vatant d’Ollone, Sébastien Lebonnois, and Ralph D. Lorenz, “A model intercomparison of Titan’s climate and low-latitude environment,” , vol. 333, pp. 113–126, Nov. 2019.

Sébastien Lebonnois, Jérémie Burgalat, Pascal Rannou, and Benjamin Charnay, “Titan global climate model: A new 3-dimensional version of the IPSL Titan GCM,” , vol. 218, no. 1, pp. 707–722, Mar. 2012.

How to cite: de Batz de Trenquelléon, B., Rannou, P., Burgalat, J., and Lebonnois, S.: The IPSL's Titan Global Climate Model : Towards a 3-Dimensional microphysical cloud model, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-445, https://doi.org/10.5194/epsc2022-445, 2022.

Coffee break
Chairpersons: Alice Le Gall, Marco Mastroguiseppe, Ralph Lorenz
12:00–12:05
12:05–12:15
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EPSC2022-981
Aymeric Spiga, Maxence Lefèvre, and Sébastien Lebonnois

Titan, the largest satellite of Saturn, is known to host a rich and active meteorology, by all standards more dynamic than previously thought before the Cassini-Huygens mission. One key element of the dynamic Titan's atmosphere is the Planetary Boundary Layer (PBL), defined as the lowermost part of the atmosphere directly influenced by the presence of a surface below it. Turbulence in the PBL is a controlling factor for exchanges of momentum, heat, chemical species and aerosols between surface and atmosphere.

Following observations by the Cassini-Huygens mission, a debate has arisen on the vertical extent of the PBL mixing on Titan in daytime conditions. Radio-occultations by Voyager and Cassini, as well as insights from dune spacing, indicate that a mixed layer, following the dry adiabatic lapse rate, extends 2 to 4 km above the surface. Conversely, in situ mid-morning measurements on board the equatorial Huygens descent probe suggests a more complex structure, with a clear-cut mixed layer only found to extend 300 m from the surface of Titan, with slope breaks between 2 and 4 km in the vertical temperature profile being related to PBL processes by some studies but not by others.


The turbulent dynamics of Titan's PBL have been studied thus far either by Global Climate Models where mixing dynamics is parameterized rather than resolved, or by idealized Large-Eddy Simulations not coupled to realistic Titan physics and limited to the first hundreds meters above the surface. Here, to broaden the knowledge of Titan PBL processes, we present turbulent-resolving Large Eddy Simulations coupled with a realistic Titan radiative transfer and soil model, extended several kilometers above the surface and ran for the full daytime cycle of Titan environmental conditions. Using those new simulations, we are able to reconcile all existing observations in a single scenario of Titan PBL growth in daytime, from a couple hundreds of meters in mid-morning conditions to a 3 km fully-developed mixing layer in early afternoon conditions. We also explored turbulent statistics for Titan's PBL: sensible heat flux, updraft and downdraft intensity, wind gustiness. We also note the spontaneous occurrence of convective vortices (dustless devils) in our Titan Large-Eddy Simulations.

Our new simulations for Titan PBL bears the potential to help rethink Titan weather processes close to the surface -- and their link to the aerosol / volatile cycles. Furthermore, basic knowledge on PBL turbulence on Titan is needed in the perspective of the Dragonfly spacecraft which will be directly flying within Titan's PBL, thereby experiencing its turbulent dynamics and carrying out in situ measurements of this turbulence.

How to cite: Spiga, A., Lefèvre, M., and Lebonnois, S.: Turbulence in Titan's Planetary Boundary Layer explored by Large-Eddy Simulations with realistic physics, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-981, https://doi.org/10.5194/epsc2022-981, 2022.

12:15–12:25
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EPSC2022-452
Ralph Lorenz

Engineering development of future Titan missions demands a specification of winds and gusts. Despite the very austere Huygens data on which to base such a specification, fundamental scaling principles allow the adaptation of empirical terrestrial descriptions for both discrete gusts and continuous turbulence. The principal factors driving these are the mean wind, the depth of the planetary boundary layer, and convective forcing : in the absence of strong mean wind, the gusts are driven by thermal vortices ('dust devils') which have a thermodynamic limit. 

A succinct formulation of turbulence, yielding a Dryden spectrum (-2 power law) is developed with a  random-walk (AR(1)) model, that can be implemented with a few lines of code  (Lorenz, R.,  Planetary and Space Science, 214, 105459. https://doi.org/10.1016/j.pss.2022.105459). This spectrum is nearly the same as the Von Karman/Kolmogorov (-5/3 power law).

The history of turbulence specifications, and the models being developed for Dragonfly and for an update to the Titan-GRAM statistical modeling package, and their validation with in-situ data, are described.

How to cite: Lorenz, R.: Turbulence Models for Titan Exploration, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-452, https://doi.org/10.5194/epsc2022-452, 2022.

12:25–12:35
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EPSC2022-776
Anezina Solomonidou, Ashley Schoenfeld, Michael Malaska, Rosaly lopes, Athena Coustenis, Sam Birch, Alice Le Gall, and Bernard Schmitt

The Cassini cameras and especially the Visual and infrared Mapping Spectrometer has provided a sequence of spectra showing the diversity of Titan’s surface spectrum from flybys performed during the 13 years of Cassini’s operation. The investigation of Titan’s surface chemical composition is of great importance for the understanding of the atmosphere-surface-interior system of the moon. The Soi crater region with the well-preserved Soi crater in its center, spans from Titan’s equatorial regions to high northern latitudes. This provides a rich diversity of landscapes, one that is also representative of the diversity encountered across Titan. We mapped this region at 1:800,000 scale using Cassini SAR and non-SAR data and produced a geomorphological map using the methodology presented by [1] and [2]. The VIMS coverage of the region allowed for detailed analysis of spectra of 262 different locations using a radiative transfer technique [3;4] and a mixing model [5;6], yielding compositional constraints on Titan’s optical surface layer. Additional constraints on composition on the near-surface substrate were obtained from microwave emissivity. We identified 22 geomorphological units, 3 of which were not previously described, and derived combinations of top surface materials between dark materials, tholin-like materials, water-ice, and methane. We found no evidence of CO2 and NH3 ice. We also observe empty lakes as far south as 40°N, which mark the most southern extent of Titan’s north polar lakes. We use the stratigraphic relations between our mapping units and the relation between the geomorphology and the composition of the surface layers to build hypotheses on the origin and evolution of the regional geology.

[1] Malaska, M., et al. (2016), Icarus 270, 130; [2] Schoenfeld, A., et al. (2021), Icarus 366, 114516; [3] Solomonidou, A., et al. (2014), J. Geophys. Res. Planets, 119, 1729; [4] Solomonidou, A., et al. (2016), Icarus, 270, 85; [5] Solomonidou, A., et al. (2018), J. Geophys. Res. Planets, 123, 489; [6] Solomonidou, A., et al. (2020), A&A 641, A16.

How to cite: Solomonidou, A., Schoenfeld, A., Malaska, M., lopes, R., Coustenis, A., Birch, S., Le Gall, A., and Schmitt, B.: Chemical composition analysis of Titan’s equatorial and midlatitude surface regions, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-776, https://doi.org/10.5194/epsc2022-776, 2022.

12:35–12:45
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EPSC2022-657
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ECP
Maël Es-Sayeh, Sébastien Rodriguez, Maélie Coutelier, Pascal Rannou, Bruno Bézard, Luca Maltagliati, Thomas Cornet, Bjorn Grieger, Erich Karkoschka, Benoit Seignovert, Stéphane Le Mouélic, Christophe Sotin, and Athena Coustenis

Introduction

Titan is the only moon in the solar system with a thick atmosphere, dominated by nitrogen and organic compounds and methane- and ethane-based climatic cycles similar to the hydrological cycle on Earth. Hence, Titan is a prime target for planetary and astrobiological researches. Heaviest organic materials resulting from atmospheric chemistry (including high atomic number aerosols) precipitate onto the surface and are subject to geological processes (e.g., eolian and fluvial erosion) that lead to the formation of a variety of landscapes, including dune fields, river networks, mountains, labyrinth terrains, canyons, lakes and seas analogous to their terrestrial counterparts but in an exotic context. Its optically thick atmosphere, however, prevents the surface from being probed in the entirety of the near-infrared (NIR) range, and its composition is still largely unknown, or largely debated at the least, preventing to fully understand and quantify the geological processes at play. Incident and reflected solar radiations are indeed strongly affected by gaseous absorption and aerosol scattering in the NIR. Only where the methane absorption is the weakest, a few transmission windows allow the detection of radiation coming from the low atmosphere and the surface, making possible to retrieve the surface albedo. In the 0.88-5.11 μm range (VIMS-IR channel), the Visual and Infrared Mapping Spectrometer (VIMS) instrument on board the Cassini spacecraft has shown that the surface can be observed in eight narrow transmission windows centered at 0.93, 1.08, 1.27, 1.59, 2.03, 2.69, and 2.78 μm, and in the 5.0-5.11 μm interval. Even in these transmission windows, residual gaseous absorption and increasing scattering from aerosols with decreasing wavelength make the analysis of the surface signal and the retrieving of surface albedo complex and delicate. 

In order to retrieve the surface albedo in the atmospheric windows in the most possible rigorous way, we have developed a radiative transfer (RT) model with up-to-date gaseous abundances profiles and absorption coefficients and improved photochemical aerosol optical properties. We validated our model using in situ observations of Huygens-DISR (Descent Imager / Spectral Radiometer) acquired during descent and once landed. We then applied our RT model to the Selk crater area (the Dragonfly mission landing area) in order to map the surface albedo and discuss the surface properties of the different geomorphological units of the region.

Radiative transfer

Our RT model is based on the SHDOM solver to solve the RT equations using the plan-parallel approximation. Vertical abundance profiles and absorption lines of CH4 and isotopes, CO, C2H2 and HCN are implemented using the most recent studies. Correlated-k coefficients are used to calculate gases absorption coefficients at VIMS-IR spectral sampling and resolution. Aerosols extinction profile and single scattering albedo are described using a fractal code developed by [1], allowing the aerosol fractal dimension to be varied. Aerosols phase function is modified using a multi-angular VIMS sequence (Sébastien Rodriguez, personal communication). Our model is validated using the in situ observations of Huygens-DISR acquired during the complete descent sequence and once landed.

Application

We applied our RT model to the Selk crater region by inverting aerosol opacity and surface albedo over 4 VIMS cubes (1578266417_1, 1575509158_1, 1578263500_1, 1578263152_1) acquired over the area. We built local maps of aerosol opacities and surface albedos of the Selk region by combining the 4 VIMS cubes on a geographically projected mosaic (see the mosaic of the 4 raw VIMS observations in Fig. 1). A few longitudinal profiles of the retrieved atmospheric properties are shown in Fig. 2. Slopes and seams between cubes of the aerosol opacities, originally due to varying observation geometries between flybys, have been entirely corrected, confirming the robustness of our RT model and making the retrieved surface albedo more reliable. Retrieved surface albedo have been then corrected for the photometry using in-situ observations ([3]). The resulting albedo maps of the regions are highly contrasted and homogeneous, most of the seams between cubes (due to residual surface photometry) being corrected (Fig. 3). 

 

Fig1 : I/F mosaics of 4 overlapping cubes in an atmospheric band (left) and an atmospheric window (right).

Observation angles (top), I/F (middle) and aerosol opacity factors for one latitude as a function of the longitude. Vertical dotted lines indicate transitions between the 4 cubes composing the mosaic (shown in Fig. 1). F$_h$ and F$_m$ are the aerosol scaling density factors above and below 55 km, respectively. All plots are shown within 2-sigma uncertainties.

Fig3: Surface albedo mosaics in 4 atmospheric windows.

Conclusion

We developed and validated a new RT model for Cassini-VIMS observations of Titan with up-to-date atmospheric optical description. Coupled with an efficient inversion scheme, our model can be apply to the complete VIMS dataset for the retrieval of Titan’s atmospheric opacities and surface albedos at regional and global scales. 

References

[1] Rannou, P., McKay, C., & Lorenz, R. 2003, Planetary and Space Science, 51, 963

[2] Karkoschka, E., Schröder, S. E., Tomasko, M. G., & Keller, H. U. 2012, Planetary and Space Science, 60, 342

How to cite: Es-Sayeh, M., Rodriguez, S., Coutelier, M., Rannou, P., Bézard, B., Maltagliati, L., Cornet, T., Grieger, B., Karkoschka, E., Seignovert, B., Le Mouélic, S., Sotin, C., and Coustenis, A.: Updated radiative transfer model for Titan in the near-infrared wavelength range: Validation on Huygens atmospheric and surface measurements and application to the analysis of the VIMS/Cassini observations of the Dragonfly landing area, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-657, https://doi.org/10.5194/epsc2022-657, 2022.

12:45–12:55
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EPSC2022-749
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ECP
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MI
Anthony Maue and Devon Burr

Introduction

Cassini RADAR and Huygens DISR images reveal evidence of fluvial activity on Titan [1,2]. We have taken a tripartite approach to understanding the influence of this activity on Titan’s sediments and their resultant characteristics: (1) radar analog study in Death Valley, (2) laboratory simulation of icy clast comminution, and (3) analysis of radar backscatter from Titan’s fluvial features.

Radar analogs in Death Valley reveal sedimentological influences

We take ground truth measurements on alluvial fan deposits in Death Valley, California, to understand the surface properties that could be influencing radar backscatter in Titan’s coarse sediment deposits (e.g., Fig. 1A). Although desert alluvium is highly angular, for study of radar backscatter (as σ0), a hyper-arid environment like Death Valley has the advantage of isolating the effects of roughness from the otherwise strong dielectric influence of soil moisture that occurs at most terrestrial locales. Thirty study sites (e.g., Fig. 1B) were selected with a range of σ0 values, incorporating varying grain size, sorting, and shape. C-band (λ = 5.6 cm) and L-band (λ = 23.5 cm) radar backscatter statistics were measured using images from Sentinel-1 and ALOS PALSAR, respectively, to compare with hand measurements of sediment similar to that in past work (e.g., [3]) but with updated methods. We find a logarithmic increase in σ0 with median grain size (Fig. 1C) and possible small increases with roundness and sorting. 3-D surface models made using structure from motion photogrammetry also allow for quantification of roughness parameters like RMS height (s) and correlation length. Such parameters commonly feed into theoretical backscatter models like the Advanced Integral Equation Model (AIEM) and allow us to evaluate these models against our in-situ grain measurements in these unusually rough, coarse-grained conditions (e.g., 2πs/λ > 3).

Titan Tumbler experiments constrain abrasion of sediments in fluvial transport

In order to understand how sediment evolves during fluvial transport on Titan, we conducted experiments tumbling icy clasts in a custom liquid-nitrogen-cooled tumbling mill [5] (Fig. 2A). Clasts of varying size, shape, and constituent grain size were tumbled for 10s of kilometers and measured at regular intervals for changes to clast shape and size distribution. Cross-sectional roundness indices (R = 4πArea/Perimeter2) were comparable to the roundest clasts at the Huygens landing site (R > 0.9; Fig. 1A) after just a few kilometers of transport, indicating that rapid rounding is possible for water ice clasts on Titan. Clasts abraded primarily through chert-like fragmentation rather than gradual attrition of clast surfaces to produce fines. Thus, abrasion of sediments in fluvial transport may not be an efficient means of sand production on Titan, which hosts vast stores of sand-sized sediment. Exponential mass-loss rates for water ice clasts at Titan-like temperatures are comparable to those of relatively weak terrestrial materials (Fig. 2B; Ed of ~0.1 to 1 km−1 where Ed = ln(M0/M)/x). For sediment to survive the significant lengths of Titan’s fluvial features [7], material strength greater than water ice may be necessary, e.g., possibly that of expected clathrate hydrates.

Cassini RADAR mapping and analysis of downstream trends

Among the variety of fluvial features identified in Cassini RADAR images, some radar-bright fluvial features have been interpreted as coarse-grained, ephemeral streams [1,7]. Because their radar backscatter can be expected to change with ground properties that largely depend on surface alluvium, downstream trends may suggest changes in sediment properties. We mapped and measured the downstream changes in backscatter for >60 large radar-bright fluvial features across Titan’s surface (e.g., Fig. 3A). Despite the difficulty of interpreting these features near the limit of the radar resolution, clear trends often emerge (e.g., Fig 3B). Over a few hundred kilometers, σ0 trends can be fit with absolute linear slopes up to ~0.01 km-1 (i.e., ~0.04 dB/km). Interestingly, although decreasing backscatter would support a hypothesis of clast comminution, some features clearly show increasing σ0 in the downstream direction. Possible factors include fresh sediment input from tributaries, changes in clast composition / dielectric constant, or changes in flow dynamics leading to coarse-grained deposition.

Conclusions

Synthesizing field, lab, and spacecraft data helps us constrain clast properties and their evolution in Titan’s fluvial features and quantify the resultant granulometric changes. Although sediment abrasion can rapidly round water ice clasts into the efficient retroreflectors proposed by [1], they may also be comminuted over shorter distances than many terrestrial materials. The minimal effects of roundness and sorting on radar backscatter compared to grain size suggests more complicated contributions to the backscatter are at play, rather than simple downstream fining, in order to produce the observed variable and non-monotonic downstream trends.

References

[1] Le Gall, A., et al. (2010) Icarus, 207, 2, 948–958. [2] Tomasko, M.G., et al. (2005) Nature, 438, 765–778. [3] Schaber G., et al. (1976) GSAB, 87, 29–41. [4] Keller, H.U., et al. (2008) PSS, 56, 728–752. [5] Maue, A.D., et al. (2022) Icarus, 375, 114831. [6] Attal, M. and Lavé, J. (2009) JGR, 114, F04023. [7] Burr, D.M., et al. (2013) GSAB, 125, 27–41.

How to cite: Maue, A. and Burr, D.: Understanding coarse alluvial sediment on Titan: Abrasion and its consequences, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-749, https://doi.org/10.5194/epsc2022-749, 2022.

12:55–13:05
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EPSC2022-182
Tetsuya Tokano

The limited photochemical lifetime of methane in Titan’s atmosphere and the lack of obvious strong methane sources at present allow the idea that Titan experienced past epochs in which the total inventory of outgassed methane was much larger than today. Much of the methane inventory would have existed as surface oceans because the atmospheric methane content is limited by condensation. The observed topography and estimated evolution of the methane inventory imply that a combination of oceans and continents as on Earth was more likely than a global ocean within the past 1 Gyr. Titan’s palaeoclimate in the presence of hypothetical methane-rich oceans and continents is simulated in an exemplary way by a global climate model coupled to a slab ocean model. The model also takes into account the exchange of N2 between the ocean and atmosphere as the N2 solubility in the ocean changes with the ocean temperature. If the ocean is global and there are no continents, the tropospheric climate is globally very moist but calm. N2 is released from the ocean in spring and is absorbed by the ocean in autumn. The global imbalance between the N2 release and absorption causes a semi-annual oscillation of global-mean surface pressure by 0.1 hPa, by analogy with the semi-annual oscillation of surface pressure on Mars caused by the polar CO2 condensation and sublimation. In warm seasons, oceans are colder than continents because of evaporative cooling of the ocean. The ocean-land temperature contrast in warm seasons induces a sea breeze circulation, which carries moist air onshore and thereby causes substantial orographic rainfall in coastal areas and elevated terrains of continents. Therefore, the total precipitation is larger on continents than over oceans regardless of the geographic location of continents. This may have implications for the geomorphology. For instance, the possible presence of circum-Xanadu ridges surrounded by methane-rich oceans may have been conducive to substantial seasonal rainfall around Xanadu, which partly drained to the desiccated Xanadu basin and caused the formation of the observed numerous fluvial networks.

 

How to cite: Tokano, T.: Palaeoclimate of Titan with methane oceans and continents simulated by a global climate model, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-182, https://doi.org/10.5194/epsc2022-182, 2022.

13:05–13:15
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EPSC2022-108
Daniel Cordier, Gérard Liger-Belair, David Bonhommeau, Thomas Séon, and Nathalie Carrasco

The manifestations of capillarity are countless in daily life, going from liquids ascension in fibers to the dynamics of bubbles and droplets. On a scientific point of view, hydrodynamics of capillarity is a rather old field, but it is still the subject of very active researches (de Gennes et al. 2004; Drelich et al. 2020) with a wide variety of applications like micro-lenses or blood circulation. The two last decades of space exploration have revealed the existence of several extraterrestrial liquid phases: liquid methane-ethane-nitrogen mixtures in Titan’s polar regions (Stofan et al. 2007), liquid water on Enceladus (Porco et al. 2006) and probably on Europa (Sparks et al. 2017), while many evidences speak in favor of the massive presence of liquid water at the surface of Mars, billions years ago (Nazari-Sharabian et al. 2020). In addition, the presence of a global, subsurface water ocean, is suspected in other major icy bodies: Ceres, Callisto, Ganymede, Pluto, etc. Important planetary processes are driven by capillarity: the floatability of small objects, the formation and size distribution of raindrops or the aerosol formation by bubbles burst at ocean surface. From one planetary context to another, the nature of the working liquid and the gravity changing together, the effect of capillarity may be significantly altered. However the impact of this process on the observations of extraterrestrial liquid phases has been few addressed yet.

In this work, we address largely the impact of capillarity in the frame of planetary exploration, with a particular focus on what could be observed by Dragonfly, the future Titan’s in situ mission. We question the flotation of small solid particles at the surface of a liquid. We also investigate some properties of extraterrestrial rain droplets and their possible ground imprints. We discuss the interaction of floating films with bubbles bursting, and we close our purpose by considering raindrops absorption into a porous soil. All physical processes are questioned in the perspective of their potential geophysical implications.

An example of process: the floatability by capillarity

The presence of some floating material, over an interface between a liquid phase and a gaseous phase, can yield to major consequences by affecting exchanges of energy, momentum and matter between the phases. The form of this floating material may vary from a tiny monomolecular microlayer to a thick layer similar to sea ice. At the surface of terrestrial oceans, the presence of a thin floating film, produced by biological activity (Lin et al. 2003), has a damping effect on wave activity; marine films is an important topic, and constitutes a full-fledged academic discipline (Gade et al. 2006). Broadly speaking, a solid material is able to float at a liquid surface with the help a two physical processes: (1) the well known Archimede’s buyoancy force, for materials less dense than the liquid, (2) capillary forces. This is the second effect we study here. The floatability generated by capillarity has been studied for a long time since it is very relevant for flotation industrial processes (Chipfunhu et al. 2011; Mousumi & Venugopal 2016; Kyzas & Matis 2018). The sake of simplicity, classical studies of solid particles floatability consider idealized spherical particles (Scheludko et al. 1976; Crawford & Ralston 1988), we are following this approach here (see Fig. 1).

Fig. 1: Sketch of a spherical solid particle, of radius R and density ρsol, floating at the surface of a liquid with the density ρliq. The meniscus (blue line) is represented by the equation z = f (x), the surface tension of the interface is σ, while the contact angle between the solid and the liquid is denoted θc; θf is the filling angle. The difference of height between the plan of flotation and the surface of the unperturbated liquid is h0. The local tangent to the meniscus has the angle ψ with the horizontal. The gravity is represented by g.

It can be easily shown (Scheludko et al. 1976; Crawford & Ralston 1988) that the radius has a maximum value Rmax for θf = θc /2 and follows the equation:

The implications of this equation are discussed in the contexts of Titan, Enceladus and Europa. This analysis will be complemented by other discussions about bubbles and liquid droplets properties in extraterrestrial contexts.

 

How to cite: Cordier, D., Liger-Belair, G., Bonhommeau, D., Séon, T., and Carrasco, N.: Capillarity processes at Titan and beyond, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-108, https://doi.org/10.5194/epsc2022-108, 2022.

Display time: Mon, 19 Sep 08:30–Wed, 21 Sep 11:00

Posters: Mon, 19 Sep, 18:45–20:15 | Poster area Level 1

Chairpersons: Alice Le Gall, Anezina Solomonidou
L1.113
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EPSC2022-683
Interpreting Cassini CIRS Data with a Photochemical Model using Improved ab initio Reaction Rate Coefficients
(withdrawn)
Shiblee Ratan Barua and Paul Romani
L1.114
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EPSC2022-449
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ECP
Maélie Coutelier, Pascal Rannou, Daniel Cordier, and Benoît Seignovert

Introduction

With 13 years of observations, the Visual And Infrared Mapping Spectrometer (VIMS) onboard the \textit{Cassini} spacecraft has observed the surface and atmosphere of Titan through two seasons:  winter and spring. In VIMS-IR spectra the surface is only seen in seven atmospheric windows due to the strong methane absorption. To retrieve the surface albedo we use radiative transfer (RT)  models to compensate for the signal due to the atmosphere. Thanks to the lander Huygens, we have information about the optical properties of the aerosols above the equator that can be used in RT models. However, using the same aerosols vertical profile at high latitude doesn't work. With the help of the results of and Global Circulation Models and the Composite InfraRed Spectrometer onboard Cassini, we changed the aerosol vertical profile and optical properties in our RT model to better fit VIMS data at high latitude. While this model is not well constrained due to a lack of data, we manage to adjust the optical properties so our RT model based on Coutelier et al., (2021) retrieve surface albedo mostly between 0 and 1 instead of values crossing these boundaries like we had previously. It allow us to study with a RT model the shores and polar seas of Titan. We applied this new model on the same area of Kraken Mare in three consecutive VIMS cubes of the same flyby (subsequently named C1, C2 and C3). It allow us to validate our model on terrains with different albedo, and to notice an interesting feature in Kraken Mare that could be interpreted as sediment transport into the sea.

Adaptation of the aerosols optical properties and vertical profile

We decided to keep a 2 layers-based aerosol model, separated into haze and mist. We first changed the haze opacity vertical profile, using an exponential law :  

with the altitude of transition between mist and haze Ztr=70 km, and the scale height Hh=40 km. τh1µm is the opacity calculated by Doose et al., 2016 at 1 µm. We then changed the spectral slope of the optical depth of the mist with a simple power law as a first approximation :

with Δτmnorm the normalized optical depth of the atmospheric layer of mean altitude z, τhλ0 the total optical depth at λ0 = 1 µm calculated by Doose et al 2016., λ the wavelength, and the parameter b = 2.2 +/- 0.2

The most influent parameter is the mist single scattering albedo ωm. we decided to change it depending on that of the haze ωh and a factor α = 0.4 +/- 0.1.

Application and results on Kraken Mare

We tuned and applyed this model on three successive VIMS cubes (full names in Fig. 1) subsequently called C1, C2 and C3. We retrieved the albedo on a zone crossing Kraken Mare, containing pixels from land, shore and methane sea. They are circled in red in Fig.1. The top part shows the VIMS cubes, and the bottom part their footprint on the geomorphologic map of Titan. That way we can have an expectation on the retrieved albedo: dark in the sea, and bright on land.

Figure 1 : (top) Successive VIMS cubes from flyby 292TI (colors : R : 5.01, V : 1.28, B : 2.79 μm).(bottom) : Footprint of the VIMS pixels on the geomorphologic map from Lopez et al., 2020. The pixels in our study are circled in red. The pixels circled in blue have mixed signatures.

 

The retrieved albedo are on Fig. 2. We still have remaining problems with negative albedo on dark pixels, mostly in the first atmospheric window. We can still differentiate very well the signatures from different terrains. Those coming from Kraken Mare are in blue, and those coming from the land are in green in Fig. 2. In C2, we have a pixel localized on the shore containing part of land and sea, circled in pink. Its signature is mixed, as we expected. However, we notice that on C1 and C3, two pixels localized in Kraken Mare (also circled in pink) also have a mixed signature. We did check that it was not a mistake in the cube geolocalization, or a difference due to a cloud.

Figure 2 : Retrieved albedo of the selected pixels in Fig. 1. from the cubes C1, C2 and C3. The errors bar are calculated from the error on VIMS, and not from the error on the model. They are underestimated as a consequence.

Discussion

Infrared can penetrate deeply into liquid methane and ethane. The mixed signature we noticed can come from sediment transport carried by rivers flowing into Kraken Mare, issued from the erosion of the bedrock.

While this aerosol model for the poles is not exact, nor well constrained, the RT model is working and gives reasonable results on different cubes from the same flyby. We can compare the different surface albedos instead of the absolute values, because the atmospheric model is the same for all of the studied pixels. The combination of the RT analysis with the geomorphologic map is a powerful tool that leads to notice unexpected signatures.

With the seasons changes, we can expect that the improved polar aerosol model is not constant, so further studies should be made on other cubes through different seasons. We could that way follow through an other method the seasonal variation of the polar haze and mist layers.

References

Doose et al. (2016) Vertical structure and optical properties of Titan’s aerosols from radiance measurements made inside and outside the atmosphere. Icarus 270 : 355-375.

Coutelier et al. (2021) Distribution and intensity of water ice signature in South Xanadu and Tui Regio. Icarus 364 : 114464.

Lopes et al. (2020) A global geomorphologic map of Saturn’s moon Titan." Nature astronomy 4.3 : 228-233.

 

 

How to cite: Coutelier, M., Rannou, P., Cordier, D., and Seignovert, B.: Detection of sediment transport in Kraken Mare with a radiative transfert model using an aerosol vertical profile and optical properties adapted to Titan North pole, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-449, https://doi.org/10.5194/epsc2022-449, 2022.

L1.115
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EPSC2022-419
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ECP
Bastien Bodin and Daniel Cordier

Titan, Saturn’s largest moon, is one of the most interesting objects of our Solar System. Among other things, Titan possesses a dense atmosphere that harbours a complex organic chemistry; hydrocarbon seas are present in polar regions, and it’s subsurface contains a liquid water ocean. Although Cassini-Huygens mission has led to major advances in our understanding of Titan, several major scientific questions still have no clear answers. For instance, the methane destruction rate by photodissociation [Galand et al., 2010] implies an atmosphere replenishment through a mechanism which is not known. Another important open question, linked to astrobiology, is the possible interaction between liquid water and organic material [Neish et al., 2018, Hedgepeth et al., 2022].

Several clues, such as the abundance of radiogenic argon (40Ar) in the atmosphere, suggest exchanges between the subsurface and the exterior [Niemann et al., 2010], and thus open the door to a possible filling of methane through these exchanges. Several scenarii have been proposed to support a methane release, including the destabilisation of methane clathrate hydrate, and its transport to the surface by cryovolcanism [Davies et al., 2016]. 

Even if there is currently no firm evidence of an active cryovolcanism on Titan, we have still a few candidates cryovolcanoes, identified using morphological criteria [Lopes et al., 2013]. Concerning impact craters, which could have produced important cryolava flows [Neish et al., 2014, Hedgepeth et al., 2020] leading to possible interaction between “hot water” and surface organic material [Neish et al., 2018], a set a ~90 of such craters have been detected [Hedgepeth et al., 2020]. 

Many numerical simulations have been carried out to understand the behaviour of lava flows on Earth. These simulations were used in the context of habitat risk assessment. Even if the first Computational Fluid Dynamics (CFD) simulations were performed using the finite elements method, another approach is getting more and more popular: the Smoothed-Particle Hydrodynamics (SPH) [Prakash et al., 2011]. This Lagrangian and meshless method [Gingold et al., 1977; Lucy, 1977] has several advantages and it is particularly suited to fluid flows including a free surface. The work to be presented consists of a series of numerical simulations, based on this method. With our computations, we address the spatial extension and the thermal behaviour of cryolava flows relevant to Titan’s impact craters or cryovolcanoes. We explore several scenarii according to which we study the influence of parameters governing the properties of these lava flows. 

Our project is particularly relevant for the Dragonfly mission [Lorenz et al., 2018], which is expected to explore the Selk crater region in the 2030s. Extensions of our work could also be applied to the volcanism of Europa and thus be relevant for the Europa Clipper and Juice missions. 

References 

DAVIES, A. G.; SOTIN, C.; CHOUKROUN, M.; MATSON, D. L; JOHNSON, T. V., 2016.  Icarus. Vol. 274, pp. 23–32. 

GALAND, M.; YELLE, R.; CUI,  J.; WAHLUND, J.-E.; VUITTON, V.; WELLBROCK, A.; COATES, A., 2010. JGR: Space Physics. Vol. 115, no. A7. 

GINGOLD, R. A; MONAGHAN, J. J., 1977. MNRAS. Vol. 181, no. 3, pp. 375–389. 

HEDGEPETH, Joshua E., NEISH, Catherine D., TURTLE, Elizabeth P., et al. Titan's impact crater population after Cassini. Icarus, 2020, vol. 344, p. 113664. 

HEDGEPETH, Joshua E., BUFFO, Jacob J., CHIVERS, Chase J., et al. Modeling the Distribution of Organic Carbon and Nitrogen in Impact Crater Melt on Titan. The Planetary Science Journal, 2022, vol. 3, no 2, p. 51. 

LOPES, R.; KIRK, R. L; MITCHELL, K. L.; LE GALL, A.; BARNES, J. W; HAYES, A; KARGEL, J; WYE, L; RADEBAUGH, J; STOFAN, ER, et al., 2013. JGR: Planets. Vol. 118, no. 3, pp. 416–435. 

LORENZ, R. D; TURTLE, E. P.; BARNES, J. W; TRAINER, M. G; ADAMS, D. S; HIBBARD, K. E; SHELDON, C. Z; ZACNY, K.; PEPLOWSKI, P. N; LAWRENCE, D. J, et al., 2018. Dragonfly: A rotorcraft lander concept for scientific exploration at Titan. Johns Hopkins APL Technical Digest. Vol. 34, no. 3, p. 14. 

LUCY, L B, 1977.  ApJ. Vol. 82, pp. 1013–1024. 

NEISH, C. D; LORENZ, R. D; TURTLE, E. P; BARNES, J. W; TRAINER, M. G; STILES, B.; KIRK, R.; HIBBITTS, C. A; MALASKA, M. J, 2018. Astrobiology. Vol. 18, no. 5, pp. 571–585. 

NEISH, C D; LORENZ, R D, 2014. Icarus. Vol. 228, pp. 27–34. 

NIEMANN, HB; ATREYA, SK; DEMICK, JE; GAUTIER, D; HABERMAN, JA; HARPOLD, DN; KASPRZAK, WT; LUNINE, JI; OWEN, TC; RAULIN, F, 2010.  JGR: Planets. Vol. 115, no. E12. 

PRAKASH, Mahesh; CLEARY, Paul W, 2011. Applied mathematical modelling. Vol. 35, no. 6, pp. 3021–3035. 

WOOD, Charles A; LORENZ, Ralph; KIRK, Randy; LOPES, Rosaly; MITCHELL, Karl; STOFAN, Ellen; TEAM, Cassini RADAR, et al., 2010.  Icarus. Vol. 206, no. 1, pp. 334–344. 

How to cite: Bodin, B. and Cordier, D.: Numerical simulations of cryolava flows at the surface of Titan, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-419, https://doi.org/10.5194/epsc2022-419, 2022.

L1.116
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EPSC2022-410
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ECP
Mathilde Houelle, Sandrine Vinatier, Bruno Bézard, and Emmanuel Lellouch

We present a study of the methane abundance in Titan's lower stratosphere. We analyzed spectra of Titan's atmosphere in the mid- and far-infrared region recorded by the Composite Infrared Spectrometer (CIRS) aboard the Cassini spacecraft with nadir geometry to determine the methane mixing ratio between 1 and 20 mbar range and its variations with seasons and latitudes.

Lellouch et al. (2014) analyzed CIRS observations recorded over the first part of the Cassini-Huygens mission, from August 2005 to June 2010, during Titan's northern winter and early spring. They showed that the methane mole fraction in Titan's atmosphere varies with latitudes from about 1.0% to 1.5%, which was unexpected as, due to its long chemical lifetime, CH4 is supposed to be homogenized by the atmospheric circulation.

The goal of this study is to analyze Cassini/CIRS data taken over the last part of the mission during northern spring and early summer (June 2010 to September 2017) in order to retrieve CH4 mixing ratio, vertical profiles of temperature and aerosols opacity at the 19 latitudes that we have selected. We analyzed spectra acquired by two focal planes of CIRS (FP1 and FP4) covering the spectral range from 10 to 600 cm-1 and from 1050 to 1500 cm-1, respectively. FP1 spectra include emission from CH4 pure rotational lines and FP4 spectra include the CH4 ν4 band centered at 1305 cm-1. We use an iterative process to determine the temperature profile from the tropopause (using the FP1) to the low stratosphere (using the FP4) by fitting the continuum of the FP1 spectra in the 70-150 cm-1 wavenumber range and the CH4 ν4 band in the 1200-1350 cm-1 range. The obtained thermal profile is used to retrieve the methane mole fraction by fitting their rotational lines in the 75-150 cm-1 range. We use the obtained value as a priori of a new iteration (retrieving the temperature profile and the CH4 mole fraction subsequently). Convergence is obtained after a few iterations.

We will present the derived CH4 mixing ratios during the northern spring and compare them with the results of Lellouch et al. (2014), which mostly focused on the northern winter. This will allow us to derive potential seasonal variations that could occurred after the global circulation overturning during the spring.

 

Reference :

- Lellouch et al. (2014). The distribution of methane in Titan’s stratosphere from Cassini/CIRS observations. Icarus 231, 323-337.

How to cite: Houelle, M., Vinatier, S., Bézard, B., and Lellouch, E.: The distribution of methane in Titan's atmosphere during northern spring from Cassini/CIRS observations, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-410, https://doi.org/10.5194/epsc2022-410, 2022.

L1.117
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EPSC2022-463
Lucy Wright, Nicholas A. Teanby, Patrick G. J. Irwin, Conor A. Nixon, and Dann M. Mitchell

1.  Introduction

Titan is the only moon in our solar system with a substantial atmosphere. It comprises 98% Nitrogen (Niemann et al., 2005), and is rich in hydrocarbon (CxHy) and nitrile (CxHyNz) species. Such species photochemically react to produce organic aerosols which compose a thick orange haze suspended in Titan’s middle atmosphere.

Global Circulation Models (GCMs) predict the meridional circulation in Titan’s stratosphere and mesosphere is dominated by a single pole-to-pole circulation cell for most of the Titan year (Hourdin et al., 1995; Newman et al., 2011; Lebonnois et al., 2012), and observations are broadly consistent with this prediction (Teanby et al., 2012, Vinatier et al., 2015). These models suggest circulation across the stratospheric equator, but this is not entirely consistent with what is observed. Existing studies show a North-South asymmetry in stratospheric haze abundance (Lorenz et al., 1997; de Kok et al., 2010), suggesting a mixing barrier near the equator. Here, we present a radiance ratio method for approximating latitudinal distributions of stratospheric HCN. We apply this to the region +/-30 degN and use HCN as a tracer to investigate the evolution and behaviour of the equatorial mixing barrier over the Cassini mission.

2.  Observations

The Cassini spacecraft explored Saturn and its moons from 2004 to 2017. Throughout its 13-year exploration, Cassini performed 127 close flybys of Titan, observing at infrared, visible and ultra-violet wavelengths. One of Cassini’s twelve instruments, the Composite Infrared Spectrometer (CIRS) (Flasar et al., 2004; Jennings et al., 2017; Nixon et al., 2019) collected almost 10 million Titan spectra in the mid and far-infrared ranges (10 – 1500 cm-1), at a varied spectral resolution between 0.5 – 15.5 cm-1. In this study, we analyse low spectral resolution (~15 cm-1) observations collected by two CIRS focal planes, sensitive to wavenumber ranges 600 – 1100 cm-1 (FP3) and 1100 – 1500 cm-1 (FP4). Generally, low spectral resolution observations require shorter scan times so can be performed at a closer approach distance to Titan, hence achieving higher spatial resolution. This allows small spatial variations in atmospheric constituents to be resolved. Low-resolution observations also have good coverage of Titan’s equatorial region throughout the entire Cassini mission (Figure 1).

Figure 1: Mission coverage for the Cassini CIRS low spectral resolution nadir mapping observations.

3.  Optimising Line-by-Line Retrieval Efficiency

Line-by-line (LBL) inversions in spectral analysis are computationally expensive. The correlated-k approximation (Lacis and Oinas, 1991) is often used to decrease the computation time of retrievals, but we found that it is not sufficiently accurate for these low spectral resolution and high signal-to-noise ratio observations (Figure 2c, d). In LBL modelling, a key parameter is the underlying spectral grid spacing. Finer grid spacing improves the forward model accuracy, but at a greater computation cost. To improve the efficiency of LBL runs, we determine a maximum grid spacing (Figure 2a, b) for which a LBL inversion will produce a sufficiently accurate spectrum in the shortest computation time. Typically, a single forward model run takes 2 hours for LBL, compared to 2 seconds for k-tables.

Figure 2: Comparison of spectra produced using a correlated-k (k-table) method and a line-by-line (LBL) method at varied spectral grid spacing. Maximum radiance difference (MRD) (a, b, blue line) between spectra produced at varied (0.1 – 0.0001 cm-1) and fine (0.0001 cm-1) grid spacing is assessed against a level of sufficient accuracy (a, b, grey area). The grid spacing determined to be optimal (0.001 cm-1 for FP3, 0.005 cm-1 for FP4) produces an almost identical spectrum to very fine (0.0001 cm-1) grid spacing (c, d) but at a significantly reduced runtime (a, b). A spectrum produced using a coarse grid spacing (0.1 cm-1) is shown for comparison. The spectrum retrieved using k-tables is not sufficiently accurate for these low-resolution observations (c, d).

4.  Estimating Stratospheric HCN with a Radiance Ratio

We construct a radiance ratio formula for approximating HCN abundance from CIRS spectra, such that a greater number of observations can be analysed rapidly. Radiance ratios can be a useful tool for approximating gas contributions to a spectrum. They do not have the reliability of full spectral retrievals but require significantly less computation time. We compare the radiance ratio latitude dependence to full LBL retrievals of HCN, for a subset of our observations, to assess the reliability of our ratio method. LBL retrievals are performed using the Nemesis radiative transfer and retrieval code (Irwin et al., 2008) with our pre-determined optimal grid spacing. We calculate the radiance ratio for a set of approximately 20 low spectral resolution mapping observations (3 are shown in Figure 3).

There appears to be a sharp change in HCN abundance near the equator (Figure 3). This hints at a potential mixing barrier in Titan’s stratosphere. Furthermore, the position of this potential barrier appears to migrate over time. We use the results of this study to investigate dynamic processes in the equatorial region of Titan’s stratosphere and its evolution over the entire Cassini mission.

Figure 3: Our radiance ratio calculated for observations acquired on 08/2005 (a), 05/2006 (b) and 07/2012 (c). The radiance ratio is smoothed by fitting splines (Teanby, 2007). The gradient of each smoothed fit is also shown (bottom).

Acknowledgements

This research was funded by the UK Sciences and Technology Facilities Council.

References

de Kok, R., et al. (2010). https://doi.org/10.1016/j.icarus.2009.10.021

Flasar, F. M., et al. (2004). https://doi.org/10.1007/s11214-004-1454-9

Hourdin, F., et al. (1995). https://doi.org/10.1006/icar.1995.1162

Irwin, P., et al. (2008). https://doi.org/10.1016/j.jqsrt.2007.11.006

Jennings, D. E., et al. (2017). https://doi.org/10.1364/AO.56.005274

Lacis, A. A., & Oinas, V. (1991). https://doi.org/10.1029/90JD01945

Lebonnois, S., et al.  (2012). https://doi.org/10.1016/j.icarus.2011.11.032

Lorenz, R. D., et al. (1997). https://doi.org/10.1006/icar.1997.5687

Newman, C. E., et al. (2011). https://doi.org/10.1016/j.icarus.2011.03.025

Nixon, C. A., et al. (2019). https://doi.org/10.3847/1538-4365/ab3799

Niemann, H. B., et al. (2005). https://doi.org/10.1038/nature04122

Teanby, N. A. (2007). https://doi.org/10.1007/s11004-007-9104-x

Teanby, N. A., et al.  (2012). https://doi.org/10.1038/nature1161

Vinatier, S., et al.  (2015). https://doi.org/10.1016/j.icarus.2014.11.019

How to cite: Wright, L., Teanby, N. A., Irwin, P. G. J., Nixon, C. A., and Mitchell, D. M.: Stratospheric HCN and Evolution of a Mixing Barrier in Titan’s Equatorial Region from Low-Resolution Cassini/CIRS Spectra, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-463, https://doi.org/10.5194/epsc2022-463, 2022.

L1.118
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EPSC2022-807
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ECP
Robin Sultana, Alice Le Gall, Léa Bonnefoy, and Bryan Butler
  • Introduction

During its 13 years of mission in the cronian system, Cassini performed 127 flybys of Titan. On board the spacecraft, the RADAR, operating as a (passive) radiometer, recorded the 2.2-cm thermal emission from the surface. All resolved radiometry observations were combined to build a global map of Titan's surface brightness temperature [4]. In the calibration process, this data was corrected to a common season and the possibility of diurnal signal was ignored. In this work, we focus on the unresolved radiometry observations of Titan as they represent an opportunity to search for potential seasonal and diurnal signatures. This data was acquired from long range i.e., in a configuration where the antenna beam footprint is commensurate or larger than Titan’s disk ([6], [11]). It has been reduced to compute Titan’s disk-integrated brightness temperature. 118 of them are available; they were collected for different sub-spacecraft points (Figure 1 (a)), at different local hours and epochs of the cronian year.

Figure 1: (a) ISS map of Titan’s surface showing the locations of the sub-spacecraft points of the 118 distant radiometry observations of Titan. Xanadu regio is highlighted in red. (b) Tbdisk as a function of Titan’s longitude as measured by the Cassini radiometer.

 

  • Longitudinal variations

Titan’s surface brightness temperature depends both on the surface emissivity and the effective physical temperature of the surface. At first order, this latter can be regarded as nearly constant and predictable. The main source of variations in the disk-integrated brightness temperature Tbdisk derived from distant radiometry observation is related to spatial variations of the surface emissivity. Indeed, Tbdisk latitudinal variations clearly show the signature of Xanadu, a large-scale low emissivity/radar-bright feature on the leading side of the satellite ([12], [1], [13], [7]) (Figure 1 (a)).When 25% of the observable disk contains Xanadu, the disk-integrated brightness temperature is reduced by more than 1 K. For the study of Tbdisk variations as a function of time (hour or season), we therefore only consider data that were acquired on disk containing less than 1% of Xanadu.

  • Monitoring seasonal changes

Cassini arrived at Saturn as it was in the late northern winter (July 2004) and the mission ended just after the northern summer solstice (Sept. 2017). Distant radiometry observations were collected regularly all along the 13 years of observations of the Cassini mission that is during half a cronian year. As such, they provide a valuable dataset to investigate the seasonal variations of Titan’s surface temperature, if any. As expected no significant variations are observed for data centred on the equatorial regions, where the seasonal effects are limited. Figure 2 displays the Tbdisk of observations centred on Titan’s poles as a function of the epoch of the year. It clearly shows the warming of the north pole and the cooling of the south one, consistent with CIRS observations [5]. This implies that the radiometer probing depth is smaller than the seasonal thermal skin depth. By comparison to a radiative transfer model in a wet sand sub-surface, we estimate the probing depth to be of at most a few meters. The comparison of the CIRS and RADAR datasets also allow to better estimate the disk-integrated emissivity of Titan’s surface: 0.93±0.01 excluding Xanadu, and 0.92±0.01.

Figure 2: Disk-integrated brightness temperature of Titan’s poles as a function of time derived from CIRS and Cassini RADAR radiometer measurements. Measurements in the southern hemisphere are plotted in blue, and in red for the northern.

  • Absence of diurnal signal

From the analysis of CIRS dataset, Cottini et al., 2012 [3] report a diurnal signal of 1-1.5K indicative of a thermal inertia of 300-600MKS. However, Cassini distant radiometry observations show no specific variations with the local hour of the sub-spacecraft point. This implies that the radiometer probe deeper depths than the diurnal thermal skin depth. By comparison to a radiative transfer model in a wet sand subsurface, we estimate the probing depth to be of at least a few tens of centimeters.

  • Comparison with Earth-based observations

Cassini distant radiometry observations can be directly compared to ground-based observations. In particular, the disk-integrated brightness temperature of Titan was measured at 3.5 cm from the Very Large Array (VLA) radio-telescope in 1992 ([8], [2]). This dataset was used to produce the light curve displayed in Figure 3 which exhibits a puzzling minimum of Tbdisk around 0° longitude, therefore shifted by more than 90° with respect to the location of Xanadu and the light curve derived from Cassini data. This discrepancy will be discussed during the presentation as well as comparison with other earth-base observations.

Figure 3: Light curve at 2.2 and 3.5 cm measured respectively by Cassini and the VLA.

  • Emissivities in Saturn's system

Among all major cronian satellites, Titan exhibits the highest emissivity. When the innermost moons interacting with Saturn's E-ring have present lower emissivities (0.5-0.8), Titan's is much closer to Pheobe and Iapetus trailing values (0.8-0.9) suggesting a near sub-surface where the ice is less present (see Le Gall et al., this conference, [10]).

  • Conclusions

With the good time and spatial sampling that Cassini distant observation provides, we monitored the regional and temporal variations of Tbdisk on Titan, giving insights on its surface and the interaction with its atmosphere.

  • Acknowledgments

We sincerely thank the Institut Universitaire de France for funding this work.

  • References

[1] Barnes et al., (2005). Science, DOI:10.1126/science.1117075.

[2] Butler and Gurwell, (2004). AAS/DPS

[3] Cottini et al., (2012). Planetary and Space Science, DOI:10.1016/j.pss.2011.03.015.

[4] Janssen et al., (2016). Icarus, DOI:10.1016/j.icarus.2015.09.027.

[5] Jennings et al., (2016). The Astrophysical Journal, DOI:10.3847/2041-8205/816/1/L17.

[6] Le Gall et al., (2014). Icarus, DOI:10.1016/j.icarus.2013.06.009.

[7] Lemmon et al., (1993). Icarus, DOI:10.1006/icar.1993.1074.

[8] Muhleman et al., (1993). 25:25.01. AAS/DPS

[10] Ostro et al., (2006). Icarus, DOI:10.1016/j.icarus.2006.02.019.

[11] Ostro et al., (2010). Icarus, DOI:10.1016/j.icarus.2009.07.041.

[12] Radebaugh et al., (2011). Icarus, DOI:10.1016/j.icarus.2010.07.022.

[13] Smith et al., (1996). Icarus, DOI:10.1006/icar.1996.0023.

How to cite: Sultana, R., Le Gall, A., Bonnefoy, L., and Butler, B.: Insights from Cassini distant radiometry observations of Titan’s surface, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-807, https://doi.org/10.5194/epsc2022-807, 2022.

L1.119
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EPSC2022-45
Rosaly Lopes, Michael Malaska, Vance Steven, Robert Hodyss, D'Arcy Meyer-Dombard, and Sarah Fagents and the Titan NAI Team

Introduction: Titan is an ocean world, an icy world, and an organic world. Recent models of the interior suggest that Titan’s subsurface ocean may be in contact with an organic-rich ice-rock core, potentially providing redox gradients, heavier elements, and organic building blocks critical for a habitable environment. Farther above, at the contact of the ice shell and ocean, Titan’s abundant surface organics could be delivered to the aqueous environment through processes such as potential convective cycles in the ice shell. Our work investigates the pathways for atmospheric organic products to be transported from the surface to the ocean/core and the potential for ocean/deep ice biosignatures and organisms to be transported to the shallow crust or surface for interrogation and discovery. Our major objectives are: (i) Determine the pathways for organic materials to be transported (and modified) from the atmosphere to surface and eventually to the subsurface ocean (the most likely habitable environment). (ii) Determine whether the physical and chemical processes in the ocean create stable, habitable environments. (iii) Determine what biosignatures would be produced if the ocean is inhabited. (iv) Determine how biosignatures can be transported from the ocean to the surface and atmosphere and be recognizable at the surface and atmosphere.

Summary of Progress: Examining Titan’s atmosphere, we have coupled two atmospheric models that cover different altitudes provide a comprehensive integrated model of the entire atmosphere of Titan. On the observational side, analysis of ALMA data resulted in the first observation of the CH3D molecule at sub-millimeter wavelengths [1]. Analysis of NASA IRTF data resulted in the first detection of propadiene (CH2CCH2) in Titan’s atmosphere [2]. Spatial and seasonal changes in Titan’s gases from the final years of the Cassini mission were the subject of several papers, using data from ALMA [3] and CIRS [4, 5].  In order to understand how materials falling from the atmosphere are transported across the surface, we are developing a landscape evolution model, based on the DELIM code that is used for Mars. We have published the first global geomorphologic map of Titan [6], which will serve as a constraint for the landscape evolution model by showing how sedimentary and depositional materials are distributed over the surface. We obtained an updated estimate of the amount of organic materials on Titan, which is important as a constraint on the amount of chemical energy and building blocks available for potential life. To investigate the molecular pathways from surface to subsurface ocean, we have performed a series of numerical simulations on the effect of a clathrate layer capping Titan’s icy crust on the convection pattern in the stagnant lid regime [7]. In the investigation of habitats resulting from molecular transport, we have modeled the accretion of Titan to understand the effects of thermal evolution on the rocky interior, and to constrain the composition of volatiles exsolved from the interior and that may have migrated vertically to build up the ocean early in Titan’s history [8]. We have also published results of modeling water-hydrocarbon mixtures using the CRYOCHEM code, which now successfully allows chemical modeling of both the hydrocarbon-rich condensed fluid phases and the water-rich condensed fluid phases (and vapor phases, too) simultaneously [9]. Preliminary results for our investigation of ocean habitats led to new insights into the origin of methane and nitrogen (N2) on Titan by modeling D/H exchange between organics and water, as well as high pressure C-N-O-H fluid speciation in Titan’s rocky core [10]. Results suggest an important role for organic compounds in the geochemical evolution of Titan’s core, which may feed into the habitability of Titan’s ocean. A novel experimental high pressure culturing chamber has been developed to investigate high pressure biosignatures which could survive in Titan’s ocean [11].   Our aim is to demonstrate that earth organisms can survive and build biomass in Titan’s subsurface conditions.

Acknowledgments: Part of this work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. This work was funded by NASA’s Astrobiology Institute grant NNN13D485T.

References: [1] Thelen, A.E., et al. (2019) AJ, 157 (6), 219. [2] Lombardo, N.A., et al. (2019) ApJ Letters, 881: L3. [3] Cordiner, M.A., et al. (2019) AJ, 158:76. [4] Teanby, N. A. et al. (2019). GRL 46, 3079–3089.  [5] Lombardo, N.A. et al. (2019): Icarus doi.org/10.1016/j.icarus.2018.08.027. [6] Lopes, R.M. (2020). Nature Astr., doi.org/10.1038/s41550-019-0917-6 [7] Kalousova K. and C. Sotin (2019) EPSC-DPS2019-288-1. [8] Neri, A., et al. (2020) Earth Planet. Sci. Lett., 530, 115920. [9] Tan, S. et al. (2019): ACS Earth 3, 11, 2569–258. [10]  Miller, K.A. et al., (2019), Astrophys. J. 871, 59. [11] Russo, D., et al. (2021) AGU Fall Meeting.

 

How to cite: Lopes, R., Malaska, M., Steven, V., Hodyss, R., Meyer-Dombard, D., and Fagents, S. and the Titan NAI Team: Habitability of Hydrocarbon Worlds: Titan and Beyond, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-45, https://doi.org/10.5194/epsc2022-45, 2022.

L1.120
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EPSC2022-435
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ECP
Optical Constants of Titan’s haze analogs particles from 3 to 10 μm
(withdrawn)
Zoé Perrin, Thomas Drant, Enrique Garcia Caurel, Audrey Chatain, Olivier Guaitella, Bernard Schmitt, Ludovic Vettier, and Nathalie Carrasco
L1.121
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EPSC2022-710
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ECP
Koyena Das, Thomas Gautier, Joseph Serigano, Cyril Szopa, Sarah M. Hörst, Maélie Coutelier, Sandrine Vinatier, and Melissa G. Trainer

In Titan, the two major gases - dinitrogen (N2) and methane (CH4) are ionized and/or photolyzed at high altitudes by the sunlight and the energetic particles from Saturn's magnetosphere, resulting in rich atmospheric chemistry and a wide variety of carbon and nitrogen-bearing atmospheric compounds. In the present work, we focus on studying the vertical profiles of trace species in the lower atmosphere to obtain a better insight into the atmospheric processes taking place on Titan. 

To do so, we reanalyzed the data from the Gas Chromatograph Mass Spectrometer (GCMS) onboard the Huygens probe which executed its mission on 14th January 2005. The GCMS instrument sampled for nearly three and a half hours from an altitude of 146 km. It recorded data for two and a half hours in the atmosphere of Titan, then landed on the surface and kept on recording for another hour, after which the signal was lost. We analyzed the measurements made by direct sampling of the atmosphere (Niemann et al. 2010). These mass spectra obtained at different altitudes and pressure levels have been recalibrated to account for deadtime and saturation corrections to the measurements, set boundary conditions for the species, and considered sensitivity measurements from Cassini-Ion and Neutral Mass Spectrometer calibrations. We then analyzed the corrected mass spectra using Monte-Carlo deconvolution simulations. The simulations allow us to vary the peak intensities of fragmentation patterns of known species, which usually bears uncertainties on this kind of data, and then use a least-square fitting to deconvolve the mixed signals (Gautier et al. 2020, Serigano et al. 2020, 2022).

 We present our ongoing effort to retrieve minor compounds' mixing ratios using this approach. As an example, the vertical profile of one of the trace species ethane (C2H6), is shown in figure 1.

 Figure 1: Preliminary vertical profile of ethane (C2H6) mixing ratio

In the future, we plan to extend this study to develop a sub-surface model of Titan which will help us understand the outgassing of methane that was observed by the probe upon its touchdown on the surface.

References: 

Niemann et al. Composition of Titan’s lower atmosphere and simple surface volatiles as measured by the Cassini-Huygens probe gas chromatograph mass spectrometer experiment. JGR 115, E12006, 2010

Gautier et al. Decomposition of electron ionization mass spectra for space application using a Monte-Carlo approach. Rapid. Com. Mass Spec. 34(8), e8659 (2020)

Serigano et al. Compositional measurements of Saturn’s upper atmosphere and rings from Cassini INMS. JGR:Planets, 125 (8), E006427  (2020)

Serigano et al. Compositional Measurements of Saturn’s Upper Atmosphere and Rings from Cassini INMS: An extended Analysis of Measurements from Cassini’s Grand Finale Orbits. JGR:Planets, 127, E007238 (2022)

How to cite: Das, K., Gautier, T., Serigano, J., Szopa, C., Hörst, S. M., Coutelier, M., Vinatier, S., and Trainer, M. G.: Study of volatile compounds in the atmosphere of Titan, Europlanet Science Congress 2022, Granada, Spain, 18–23 Sep 2022, EPSC2022-710, https://doi.org/10.5194/epsc2022-710, 2022.