Replication Data for: The Bathymetry of Moray Sinus at Titan's Kraken Mare

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	ALTIMETER_T104_DATA.mat MATLAB Data - 163.5 MB - Nov 10, 2020 - 2 Downloads MD5: d2fcb498c1479a0dcb92a9377aa72e67 Matlab Workspace	Download
	ALTIMETER_T104_DATA_notes.txt Plain Text - 512 B - Nov 10, 2020 - 3 Downloads MD5: 8abef9573e9f7e5972d7bd91c1bb093d	Download
	ALTIMETER_T104_RESULTS.tab Tabular Data - 1.4 KB - Nov 10, 2020 - 0 Downloads 10 Variables, 17 Observations - UNF:6:t/xPtjfOUYQezjN9HH5BzQ== Microsoft Excel Table	Download Original File Format (MS Excel Spreadsheet) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	BIBQH33N028_D120_T025S01_V02.IMG.png PNG Image - 11.4 MB - Nov 10, 2020 - 1 Download MD5: 1974b341ca55dd0c98f78be15be03337 Incidence angle and noise corrected T25 SAR image	Download
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Citation Metadata

Dataset Persistent ID	doi:10.35003/SMHEIM
Publication Date	2020-11-10
Title	Replication Data for: The Bathymetry of Moray Sinus at Titan's Kraken Mare
Author	Valerio Poggiali (Cornell Center for Astrophysics and Planetary Science, Cornell University) - ORCID: 0000-0003-1053-3225 Hayes, A.G. (Cornell Center for Astrophysics and Planetary Science, Cornell University) Mastrogiuseppe, M. (Università di Roma La Sapienza) Le Gall, A. (UVSQ Université Paris‐Saclay, Sorbonne Université) Lalich, D. (Cornell Center for Astrophysics and Planetary Science, Cornell University) Gómez-Leal, I. (Cornell Center for Astrophysics and Planetary Science, Cornell University) Lunine, J.I. (Cornell Center for Astrophysics and Planetary Science, Cornell University)
Contact	Use email button above to contact. Poggiali, Valerio (Cornell Center for Astrophysics and Planetary Science, Cornell University)
Description	Moray Sinus is an estuary located at the northern end of Titan’s Kraken Mare. The Cassini RADAR altimeter acquired three segments over this mare during the T104 flyby of Titan, on August 21st, 2014. Herein, we present a detailed analysis of the received echoes. Some of these waveforms exhibit a reflection from the seafloor, from up to 85 (−18, +28) m of depth (1σ error). Monte-Carlo simulations have been performed in order to assess the most probable values and estimation errors for the seafloor depth. Insights from this study, featuring the synergic use of the synthetic aperture radar images coupled to the altimetry and passive radiometry datasets, have been used to constrain the dielectric properties (i.e., absorptivity of the liquid) and roughness of this region of Kraken Mare. The resulting Ku-band specific attenuation of the liquid is 17 ± 3 dB/μs, corresponding to a loss tangent of (4.6 ± 0.9) ×10−5, which is very similar to the loss tangent estimated at Ligeia Mare. The data in hand do not permit us to discern the most likely explanation for the lack of a seafloor reflection from the main body of Kraken Mare: either a very deep sea or a more absorbing liquid composition. However, if the main body of Kraken Mare is characterized by an absorption similar to Moray Sinus, then based on models of the response to altimetry mode observations we can conclude that it exceeds 100 meters of depth, which is also compatible with radiometry observations.
Subject	Astronomy and Astrophysics
Keyword	Titan Kraken Mare (T104 Titan flyby) (Moray Sinus) Cassini radar altimeter data (Bathymetry) Composition of sea (Radar absorptivity data)
Topic Classification	Astronomy (Bathymetrical and Monte Carlo simulated data)
Related Publication	V. Poggiali et al. (2020), The Bathymetry of Moray Sinus at Titan's Kraken Mare, JGR Planets, Volume125, Issue12, https://doi.org/10.1029/2020JE006558 https://doi.org/10.1029/2020JE006558
Language	English
Producer	Valerio Poggiali (Cornell Center for Astrophysics and Planetary Science, Cornell University)
Grant Information	NASA CDAP program: NNX15AH10G
Distributor	NASA Planetary Data System https://pds-imaging.jpl.nasa.gov/data/cassini/cassini_orbiter TR170-DB (Freie Universität Berlin) TRR170-DB (Freie Universität Berlin) https://planetary-data-portal.org/privateurl.xhtml?token=217e8587-80ae-404f-9664-e7ba43adfba0
Depositor	Lehmann, Elfrun
Deposit Date	2020-10-01
Kind of Data	Astronomy, bathymetry, Monte Carlo simulations

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